default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPing Zhong 0001
Person information
- affiliation: National University of Defense Technology, ATR Lab. School of Electronics Science and Engineering, Changsha, China
Other persons with the same name
- Ping Zhong — disambiguation page
- Ping Zhong 0002
![[0000-0003-3393-8874]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3393-8874")
— Central South University, School of Informaion Science and Engineering, Changsha, China - Ping Zhong 0003 — China Agricultural University, College of Science, Beijing, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2024
[j57]Hao Wen, Xikun Hu, Ping Zhong:
Detecting rice straw burning based on infrared and visible information fusion with UAV remote sensing. Comput. Electron. Agric. 222: 109078 (2024)- [j56]Xikun Hu, Hao Wen, Puzhao Zhang, Ka-Veng Yuen, Ping Zhong:
Near Real-Time Burned Area Progression Mapping With Multispectral Data Using Ensemble Learning. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j55]Dehui Zhu, Ping Zhong, Bo Du, Liangpei Zhang:
Attention-based Sparse and Collaborative Spectral Abundance Learning for Hyperspectral Subpixel Target Detection. Neural Networks 178: 106416 (2024) - [j54]Yu Zhang, Zhiqiang Gong, Hao Wen, Xikun Hu, Xiaoyan Xia, Hejun Jiang, Ping Zhong:
Pattern Corruption-Assisted Physical Attacks Against Object Detection in UAV Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 12931-12944 (2024) - [j53]Xikun Hu, Wenlin Liu, Hao Wen, Ka-Veng Yuen, Tian Jin, Alberto Costa Nogueira Junior, Ping Zhong:
AF-Net: An Active Fire Detection Model Using Improved Object-Contextual Representations on Unbalanced UAV Datasets. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 13558-13569 (2024) - [j52]Zhiqiang Gong, Jiahao Qi, Ping Zhong, Xian Zhou, Wen Yao:
Deep Intrinsic Decomposition With Adversarial Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j51]Zhiqiang Gong, Xian Zhou, Wen Yao, Xiaohu Zheng, Ping Zhong:
HyperDID: Hyperspectral Intrinsic Image Decomposition With Deep Feature Embedding. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j50]Jiaxuan Liu, Jiahao Qi, Dehui Zhu, Hao Wen, Hejun Jiang, Ping Zhong:
Detecting Nearshore Underwater Targets With Hyperspectral Nonlinear Unmixing Autoencoder. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j49]Hao Wen, Xikun Hu, Ping Zhong:
DSRNet: Diagonal Subsampling Reconstruction Network for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j48]Yu Zhang, Zhiqiang Gong, Wenlin Liu, Hao Wen, Pengcheng Wan, Jiahao Qi, Xikun Hu, Ping Zhong:
Empowering Physical Attacks With Jacobian Matrix Regularization Against ViT-Based Detectors in UAV Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j47]Shijun Zheng, Weiquan Liu, Yu Guo, Yu Zang, Siqi Shen, Chenglu Wen, Ming Cheng, Ping Zhong, Cheng Wang:
SR-Adv: Salient Region Adversarial Attacks on 3D Point Clouds for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 25(10): 14019-14030 (2024) - [j46]Xingyue Liu, Jiahao Qi, Chen Chen, Kangcheng Bin, Ping Zhong:
Relation-Aware Weight Sharing in Decoupling Feature Learning Network for UAV RGB-Infrared Vehicle Re-Identification. IEEE Trans. Multim. 26: 9839-9853 (2024) - 2023
- [j45]Mingyang Du, Ping Zhong, Xiaohao Cai, Daping Bi, Aiqi Jing:
Robust Bayesian attention belief network for radar work mode recognition. Digit. Signal Process. 133: 103874 (2023) - [j44]Zhiqiang Gong, Ping Zhong, Wen Yao, Weien Zhou, Jiahao Qi, Panhe Hu:
A CNN with noise inclined module and denoise framework for hyperspectral image classification. IET Image Process. 17(9): 2575-2584 (2023) - [j43]Aihuan Yao, Jiahao Qi, Ping Zhong:
Self-Aligned Spatial Feature Extraction Network for UAV Vehicle Reidentification. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j42]Yu Zhang, Zhiqiang Gong, Yichuang Zhang, Kangcheng Bin, Yongqian Li, Jiahao Qi, Hao Wen, Ping Zhong:
Boosting transferability of physical attack against detectors by redistributing separable attention. Pattern Recognit. 138: 109435 (2023) - [j41]Jinyue Jiao, Zhiqiang Gong, Ping Zhong:
Dual-Branch Fourier-Mixing Transformer Network for Hyperspectral Target Detection. Remote. Sens. 15(19): 4675 (2023) - [j40]Jinyue Jiao, Zhiqiang Gong, Ping Zhong:
Triplet Spectralwise Transformer Network for Hyperspectral Target Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - 2022
- [j39]Aihuan Yao, Mengmeng Huang, Jiahao Qi, Ping Zhong:
Attention Mask-Based Network With Simple Color Annotation for UAV Vehicle Re-Identification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j38]Yichuang Zhang, Yu Zhang, Jiahao Qi, Kangcheng Bin, Hao Wen, Xunqian Tong, Ping Zhong:
Adversarial Patch Attack on Multi-Scale Object Detection for UAV Remote Sensing Images. Remote. Sens. 14(21): 5298 (2022) - [j37]Mingyang Du, Ping Zhong, Xiaohao Cai, Daping Bi:
DNCNet: Deep Radar Signal Denoising and Recognition. IEEE Trans. Aerosp. Electron. Syst. 58(4): 3549-3562 (2022) - [j36]Zhiqiang Gong, Weidong Hu, Xiaoyong Du, Ping Zhong, Panhe Hu:
Deep Manifold Embedding for Hyperspectral Image Classification. IEEE Trans. Cybern. 52(10): 10430-10443 (2022) - [j35]Sheng Wan, Shirui Pan, Ping Zhong, Xiaojun Chang, Jian Yang, Chen Gong:
Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - 2021
- [j34]Wei Xue, Ping Zhong, Wensheng Zhang, Gaohang Yu, Yebin Chen:
Sample-based online learning for bi-regular hinge loss. Int. J. Mach. Learn. Cybern. 12(6): 1753-1768 (2021) - [j33]Jiahao Qi, Pengcheng Wan, Zhiqiang Gong, Wei Xue, Aihuan Yao, Xingyue Liu, Ping Zhong:
A Self-Improving Framework for Joint Depth Estimation and Underwater Target Detection from Hyperspectral Imagery. Remote. Sens. 13(9): 1721 (2021) - [j32]Jiahao Qi, Zhiqiang Gong, Aihuan Yao, Xingyue Liu, Yongqian Li, Yichuang Zhang, Ping Zhong:
Bathymetric-Based Band Selection Method for Hyperspectral Underwater Target Detection. Remote. Sens. 13(19): 3798 (2021) - [j31]Jiahao Qi, Wei Xue, Zhiqiang Gong, Shaoquan Zhang, Aihuan Yao, Ping Zhong:
Hybrid Sequence Networks for Unsupervised Water Properties Estimation From Hyperspectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3830-3845 (2021) - [j30]Wei Xue, Jiahao Qi, Guoqing Shao, Zixuan Xiao, Yu Zhang, Ping Zhong:
Low-Rank Approximation and Multiple Sparse Constraint Modeling for Infrared Low-Flying Fixed-Wing UAV Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 4150-4166 (2021) - [j29]Zixuan Xiao, Jiahao Qi, Wei Xue, Ping Zhong:
Few-Shot Object Detection With Self-Adaptive Attention Network for Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 4854-4865 (2021) - [j28]Jiahao Qi, Zhiqiang Gong, Wei Xue, Xingyue Liu, Aihuan Yao, Ping Zhong:
An Unmixing-Based Network for Underwater Target Detection From Hyperspectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5470-5487 (2021) - [j27]Sheng Wan, Chen Gong, Ping Zhong, Shirui Pan, Guangyu Li, Jian Yang:
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network. IEEE Trans. Geosci. Remote. Sens. 59(1): 597-612 (2021) - [j26]Zhiqiang Gong, Ping Zhong, Weidong Hu:
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 32(1): 322-333 (2021) - 2020
- [j25]Sheng Wan, Chen Gong, Ping Zhong, Bo Du, Lefei Zhang, Jian Yang:
Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(5): 3162-3177 (2020) - [j24]Ping Zhong, Zhiqiang Gong, Jiaxin Shan:
Multiple Instance Learning for Multiple Diverse Hyperspectral Target Characterizations. IEEE Trans. Neural Networks Learn. Syst. 31(1): 246-258 (2020) - 2019
- [j23]Zhiqiang Gong, Ping Zhong, Weidong Hu:
Diversity in Machine Learning. IEEE Access 7: 64323-64350 (2019) - [j22]Zhiqiang Gong, Ping Zhong, Weidong Hu:
Unsupervised Deep Feature Learning With Iteratively Refined Pseudo Classes for Scene Representation. IEEE Access 7: 94779-94792 (2019) - [j21]Zhiqiang Gong, Ping Zhong, Weidong Hu, Yuming Hua:
Joint Learning of the Center Points and Deep Metrics for Land-Use Classification in Remote Sensing. Remote. Sens. 11(1): 76 (2019) - [j20]Zhiqiang Gong, Ping Zhong, Yang Yu, Weidong Hu, Shutao Li:
A CNN With Multiscale Convolution and Diversified Metric for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(6): 3599-3618 (2019) - 2018
- [j19]Yang Yu, Zhiqiang Gong, Cheng Wang, Ping Zhong:
An Unsupervised Convolutional Feature Fusion Network for Deep Representation of Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 15(1): 23-27 (2018) - [j18]Zhiqiang Gong, Ping Zhong, Yang Yu, Weidong Hu:
Diversity-Promoting Deep Structural Metric Learning for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 56(1): 371-390 (2018) - 2017
- [j17]Yuting Chen, Lihua Liu, Zhiqiang Gong, Ping Zhong:
Learning CNN to Pair UAV Video Image Patches. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(12): 5752-5768 (2017) - [j16]Ping Zhong, Zhiqiang Gong, Shutao Li, Carola-Bibiane Schönlieb:
Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(6): 3516-3530 (2017) - 2016
- [j15]Zhiming Qian, Ping Zhong, Jia Chen:
Integrating global and local visual features with semantic hierarchies for two-level image annotation. Neurocomputing 171: 1167-1174 (2016) - 2015
- [j14]Zhiming Qian, Ping Zhong, Runsheng Wang:
Class-specific Gaussian-multinomial latent Dirichlet allocation for image annotation. EURASIP J. Adv. Signal Process. 2015: 40 (2015) - [j13]Shujin Sun, Ping Zhong, Huaitie Xiao, Runsheng Wang:
An MRF Model-Based Active Learning Framework for the Spectral-Spatial Classification of Hyperspectral Imagery. IEEE J. Sel. Top. Signal Process. 9(6): 1074-1088 (2015) - [j12]Zhiming Qian, Ping Zhong, Runsheng Wang:
Personalized image annotation via class-specific cross-domain learning. Signal Process. Image Commun. 34: 61-71 (2015) - [j11]Zhiming Qian, Ping Zhong, Runsheng Wang:
Tag Refinement for User-Contributed Images via Graph Learning and Nonnegative Tensor Factorization. IEEE Signal Process. Lett. 22(9): 1302-1305 (2015) - [j10]Ping Zhong, Peng Ni, Runsheng Wang:
Learning to Diversify Patch-Based Priors for Remote Sensing Image Restoration. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(11): 5225-5245 (2015) - [j9]Shujin Sun, Ping Zhong, Huaitie Xiao, Runsheng Wang:
Active Learning With Gaussian Process Classifier for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 53(4): 1746-1760 (2015) - 2014
- [j8]Ping Zhong, Runsheng Wang:
Jointly Learning the Hybrid CRF and MLR Model for Simultaneous Denoising and Classification of Hyperspectral Imagery. IEEE Trans. Neural Networks Learn. Syst. 25(7): 1319-1334 (2014) - 2013
- [j7]Ping Zhong, Runsheng Wang:
Multiple-Spectral-Band CRFs for Denoising Junk Bands of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 51(4-2): 2260-2275 (2013) - 2011
- [j6]Ping Zhong, Runsheng Wang:
Modeling and Classifying Hyperspectral Imagery by CRFs With Sparse Higher Order Potentials. IEEE Trans. Geosci. Remote. Sens. 49(2): 688-705 (2011) - 2010
- [j5]Ping Zhong, Runsheng Wang:
Learning Conditional Random Fields for Classification of Hyperspectral Images. IEEE Trans. Image Process. 19(7): 1890-1907 (2010) - 2008
- [j4]Ping Zhong, Peng Zhang, Runsheng Wang:
Dynamic Learning of SMLR for Feature Selection and Classification of Hyperspectral Data. IEEE Geosci. Remote. Sens. Lett. 5(2): 280-284 (2008) - [j3]Ping Zhong, Runsheng Wang:
Learning Sparse CRFs for Feature Selection and Classification of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 46(12): 4186-4197 (2008) - 2007
- [j2]Ping Zhong, Runsheng Wang:
Using Combination of Statistical Models and Multilevel Structural Information for Detecting Urban Areas From a Single Gray-Level Image. IEEE Trans. Geosci. Remote. Sens. 45(5-2): 1469-1482 (2007) - [j1]Ping Zhong, Runsheng Wang:
A Multiple Conditional Random Fields Ensemble Model for Urban Area Detection in Remote Sensing Optical Images. IEEE Trans. Geosci. Remote. Sens. 45(12-1): 3978-3988 (2007)
Conference and Workshop Papers
- 2024
- [c21]Chen Chen, Jiahao Qi, Xingyue Liu, Kangcheng Bin, Ruigang Fu, Xikun Hu, Ping Zhong:
Weakly Misalignment-Free Adaptive Feature Alignment for UAVs-Based Multimodal Object Detection. CVPR 2024: 26826-26835 - 2022
- [c20]Mingyang Du, Ping Zhong, Xiaohao Cai, Daping Bi, Zhifei Li:
Balanced neural architecture search and optimization for specific emitter identification. RFID-TA 2022: 220-223 - [c19]Jiahao Qi, Xingyue Liu, Ping Zhong:
Delve Into Hyperspectral Anomaly Detection Via Bayesian Gaussian Tensor Decomposition. WHISPERS 2022: 1-5 - 2021
- [c18]Jiahao Qi, Wei Xue, Aihuan Yao, Ping Zhong:
Unmixing-Based Underwater Target Detection for Hyperspectral Imagery. IGARSS 2021: 4436-4439 - 2019
- [c17]Zhiqiang Gong, Ping Zhong, Weidong Hu, Fang Liu, Bingwei Hui:
An End-to-End Joint Unsupervised Learning of Deep Model and Pseudo-Classes for Remote Sensing Scene Representation. IJCNN 2019: 1-7 - 2018
- [c16]Zhiqiang Gong, Ping Zhong, Jiaxin Shan, Weidong Hu:
Diversifying Deep Multiple Choices for Remote Sensing Scene Classification. IGARSS 2018: 4744-4747 - [c15]Zhiqiang Gong, Ping Zhong, Jiaxin Shan, Weidong Hu:
A Diversified Deep Ensemble for Hyperspectral Image Classification. WHISPERS 2018: 1-5 - [c14]Jiaxin Shan, Zhiqiang Gong, Ping Zhong:
A Bag-Level Data Imbalanced Multiple Instance Hyperspectral Target Representation. WHISPERS 2018: 1-5 - 2017
- [c13]Yang Yu, Zhiqiang Gong, Ping Zhong, Jiaxin Shan:
Unsupervised Representation Learning with Deep Convolutional Neural Network for Remote Sensing Images. ICIG (2) 2017: 97-108 - [c12]Yang Yu, Ping Zhong, Zhiqiang Gong:
Balanced data driven sparsity for unsupervised deep feature learning in remote sensing images classification. IGARSS 2017: 668-671 - [c11]Zhiqiang Gong, Ping Zhong, Yang Yu, Weidong Hu:
Diversified deep structural metric learning for land use classification in remote sensing images. IGARSS 2017: 1676-1679 - [c10]Zhiqiang Gong, Ping Zhong, Yang Yu, Jiaxin Shan, Weidong Hu:
Joint learning of deep multi-scale features and diversified metrics for hyperspectral image classification. MLSP 2017: 1-6 - 2016
- [c9]Ping Zhong, Zhiqiang Gong, Carola-Bibiane Schönlieb:
A DBN-crf for spectral-spatial classification of hyperspectral data. ICPR 2016: 1219-1224 - [c8]Shujin Sun, Ping Zhong, Huaitie Xiao, Yuting Chen, Zhiqiang Gong, Runsheng Wang:
Spectral-spatial classification of hyperspectral images with Gaussian process. IGARSS 2016: 473-476 - 2015
- [c7]Shujin Sun, Ping Zhong, Huaitie Xiao, Fang Liu, Runsheng Wang:
An active learning method based on Markov random fields for hyperspectral images classification. WHISPERS 2015: 1-4 - [c6]Shujin Sun, Ping Zhong, Huaitie Xiao, Fang Liu, Runsheng Wang:
An active learning method based on SVM classifier for hyperspectral images classification. WHISPERS 2015: 1-4 - 2014
- [c5]Zhiming Qian, Ping Zhong, Runsheng Wang:
Hierarchical Unsupervised Object Segmentation with Manifold Regularization. ICIMCS 2014: 266 - [c4]Zhiming Qian, Ping Zhong, Runsheng Wang:
Tensor Representation for Image Annotation with Collective Groups. ICIMCS 2014: 422 - 2012
- [c3]Ping Zhong, Zhiming Qian, Runsheng Wang:
Dynamic Learning of SCRF for Feature Selection and Classification of Hyperspectral Imagery. SSPR/SPR 2012: 254-263 - 2007
- [c2]Ping Zhong, Fang Liu, Runsheng Wang:
A New MRF Framework with Dual Adaptive Contexts for Image Segmentation. CIS 2007: 351-355 - 2006
- [c1]Ping Zhong, Runsheng Wang:
Object Detection Based on Combination of Conditional Random Field and Markov Random Field. ICPR (3) 2006: 160-163
Informal and Other Publications
- 2023
- [i15]Xingyue Liu, Jiahao Qi, Chen Chen, Kangcheng Bin, Ping Zhong:
Beyond Sharing Weights in Decoupling Feature Learning Network for UAV RGB-Infrared Vehicle Re-Identification. CoRR abs/2310.08026 (2023) - [i14]Zhiqiang Gong, Xian Zhou, Wen Yao, Xiaohu Zheng, Ping Zhong:
HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature Embedding. CoRR abs/2311.14899 (2023) - 2022
- [i13]Aihuan Yao, Jiahao Qi, Ping Zhong:
Self-aligned Spatial Feature Extraction Network for UAV Vehicle Re-identification. CoRR abs/2201.02836 (2022) - [i12]Yu Zhang, Zhiqiang Gong, Yichuang Zhang, Yongqian Li, Kangcheng Bin, Jiahao Qi, Wei Xue, Ping Zhong:
Transferable Physical Attack against Object Detection with Separable Attention. CoRR abs/2205.09592 (2022) - [i11]Zhiqiang Gong, Ping Zhong, Jiahao Qi, Panhe Hu:
A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image Classification. CoRR abs/2205.12459 (2022) - [i10]Jiahao Qi, Zhiqiang Gong, Xingyue Liu, Kangcheng Bin, Chen Chen, Yongqian Li, Wei Xue, Yu Zhang, Ping Zhong:
Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders. CoRR abs/2207.07803 (2022) - 2020
- [i9]Zixuan Xiao, Ping Zhong, Yuan Quan, Xuping Yin, Wei Xue:
Few-shot Object Detection with Feature Attention Highlight Module in Remote Sensing Images. CoRR abs/2009.01616 (2020) - [i8]Zixuan Xiao, Wei Xue, Ping Zhong:
Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images. CoRR abs/2009.12596 (2020) - 2019
- [i7]Zhiqiang Gong, Ping Zhong, Weidong Hu, Fang Liu, Bingwei Hui:
An End-to-End Joint Unsupervised Learning of Deep Model and Pseudo-Classes for Remote Sensing Scene Representation. CoRR abs/1903.07224 (2019) - [i6]Zhiqiang Gong, Ping Zhong, Weidong Hu, Zixuan Xiao, Xuping Yin:
A novel statistical metric learning for hyperspectral image classification. CoRR abs/1905.05087 (2019) - [i5]Sheng Wan, Chen Gong, Ping Zhong, Bo Du, Lefei Zhang, Jian Yang:
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification. CoRR abs/1905.06133 (2019) - [i4]Sheng Wan, Chen Gong, Ping Zhong, Shirui Pan, Guangyu Li, Jian Yang:
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network. CoRR abs/1909.11953 (2019) - [i3]Zhiqiang Gong, Weidong Hu, Xiaoyong Du, Ping Zhong, Panhe Hu:
Deep Manifold Embedding for Hyperspectral Image Classification. CoRR abs/1912.11264 (2019) - [i2]Zhiqiang Gong, Ping Zhong, Weidong Hu:
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification. CoRR abs/1912.12385 (2019) - 2018
- [i1]Zhiqiang Gong, Ping Zhong, Weidong Hu:
Diversity in Machine Learning. CoRR abs/1807.01477 (2018)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-30 20:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
