default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDWenqi Wei 0001
Person information
- affiliation: Fordham University, Department of Computer and Information Sciences, New York, NY, USA
- affiliation (PhD 2022): Georgia Institute of Technology, School of Computer Science, Atlanta, GA, USA
Other persons with the same name
- Wenqi Wei — disambiguation page
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j16]Wenqi Wei
, Ling Liu:
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance. ACM Comput. Surv. 57(6): 143:1-143:42 (2025)- [j15]Congcong Zhang, Jingya Zhou, Wenqi Wei, Yingdan Shi:
Order-sensitive competitive revenue maximization for viral marketing in social networks. Inf. Sci. 689: 121474 (2025) - [c35]Xiang Li, Wenqi Wei, Bhavani Thuraisingham:
MUBox: A Critical Evaluation Framework of Deep Machine Unlearning [Systematization of Knowledge Paper]. SACMAT 2025: 175-188 - [i41]Xiang Li, Bhavani Thuraisingham, Wenqi Wei:
MUBox: A Critical Evaluation Framework of Deep Machine Unlearning. CoRR abs/2505.08576 (2025) - [i40]Rahul Kumar, Wenqi Wei, Ying Mao, Junaid Farooq, Ying Wang, Juntao Chen:
SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks. CoRR abs/2506.24081 (2025) - 2024
- [j14]Zhenyu Hu, Jingya Zhou, Wenqi Wei, Congcong Zhang, Yingdan Shi:
Predicting cross-domain collaboration using multi-task learning. Expert Syst. Appl. 255: 124570 (2024) - [j13]Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Fatih Ilhan, Wenqi Wei, Ling Liu:
Diversity-driven Privacy Protection Masks Against Unauthorized Face Recognition. Proc. Priv. Enhancing Technol. 2024(4): 381-392 (2024) - [j12]Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu:
Hierarchical Pruning of Deep Ensembles with Focal Diversity. ACM Trans. Intell. Syst. Technol. 15(1): 15:1-15:24 (2024) - [j11]Wenqi Wei, Ka Ho Chow, Yanzhao Wu, Ling Liu:
Demystifying Data Poisoning Attacks in Distributed Learning as a Service. IEEE Trans. Serv. Comput. 17(1): 237-250 (2024) - [c34]Shoutai Zhu, Ziqiang Yuan, Kaiyuan Wang, Yishu Zhang, Wenqi Wei:
Enhancing Financial Reasoning in Large Language Models: The Role of Gold Facts. IEEE Big Data 2024: 1919-1928 - [c33]Khalifa Afane, Wenqi Wei, Ying Mao, Junaid Farooq, Juntao Chen:
Next-Generation Phishing: How LLM Agents Empower Cyber Attackers. IEEE Big Data 2024: 2558-2567 - [c32]Hongpeng Jin, Maryam Akhavan Aghdam, Sai Nath Chowdary Medikonduru, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu:
Effective Diversity Optimizations for High Accuracy Deep Ensembles. CogMI 2024: 278-287 - [c31]Wenqi Wei, Ling Liu:
Gradient Coupling Effect of Poisoning Attacks in Federated Learning. HICSS 2024: 7602-7611 - [c30]Xueqing Zhang, Junkai Zhang, Ka-Ho Chow, Juntao Chen, Ying Mao, Mohamed Rahouti, Xiang Li, Yuchen Liu, Wenqi Wei:
Demo: Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning. ICDCS 2024: 1431-1434 - [c29]Ka-Ho Chow, Wenqi Wei, Lei Yu:
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control. IJCAI 2024: 704-712 - [c28]Shuwen Kan, Zefan Du, Miguel Palma, Samuel Alexander Stein, Chenxu Liu, Wenqi Wei, Juntao Chen, Ang Li, Ying Mao:
Scalable Circuit Cutting and Scheduling in a Resource-Constrained and Distributed Quantum System. QCE 2024: 1077-1088 - [c27]Nashrah Haque, Xiang Li, Zhehui Chen, Yanzhao Wu, Lei Yu, Arun Iyengar, Wenqi Wei:
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum. TPS-ISA 2024: 21-30 - [c26]Fatih Ilhan, Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Selim F. Tekin, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu, Ling Liu:
Adaptive Deep Neural Network Inference Optimization with EENet. WACV 2024: 1362-1371 - [c25]Sihao Hu, Tiansheng Huang, Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu:
ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain. WWW 2024: 2807-2816 - [i39]Ka Ho Chow, Wenqi Wei, Lei Yu:
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control. CoRR abs/2401.01085 (2024) - [i38]Ziqiang Yuan, Kaiyuan Wang, Shoutai Zhu, Ye Yuan, Jingya Zhou, Yanlin Zhu, Wenqi Wei:
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models. CoRR abs/2401.10744 (2024) - [i37]Wenqi Wei, Ling Liu:
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance. CoRR abs/2402.01096 (2024) - [i36]Shuwen Kan, Zefan Du, Miguel Palma, Samuel Alexander Stein, Chenxu Liu, Wenqi Wei, Juntao Chen, Ang Li, Ying Mao:
Scalable Circuit Cutting and Scheduling in a Resource-constrained and Distributed Quantum System. CoRR abs/2405.04514 (2024) - [i35]Xueqing Zhang, Junkai Zhang, Ka-Ho Chow, Juntao Chen, Ying Mao, Mohamed Rahouti, Xiang Li, Yuchen Liu, Wenqi Wei:
Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning. CoRR abs/2405.16707 (2024) - [i34]Wenqi Wei, Tiansheng Huang, Zachary Yahn, Anoop Singhal, Margaret Loper, Ling Liu:
Data Poisoning and Leakage Analysis in Federated Learning. CoRR abs/2409.13004 (2024) - [i33]Nashrah Haque, Xiang Li, Zhehui Chen, Yanzhao Wu, Lei Yu, Arun Iyengar, Wenqi Wei:
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum. CoRR abs/2410.13122 (2024) - [i32]Khalifa Afane, Wenqi Wei, Ying Mao, Junaid Farooq, Juntao Chen:
Next-Generation Phishing: How LLM Agents Empower Cyber Attackers. CoRR abs/2411.13874 (2024) - [i31]Kerui Wu, Ka-Ho Chow, Wenqi Wei, Lei Yu:
Understanding the Impact of Graph Reduction on Adversarial Robustness in Graph Neural Networks. CoRR abs/2412.05883 (2024) - [i30]Zefan Du, Yanni Li, Zijian Mo, Wenqi Wei, Juntao Chen, Rajkumar Buyya, Ying Mao:
Hardware-aware Circuit Cutting and Distributed Qubit Mapping for Connected Quantum Systems. CoRR abs/2412.18458 (2024) - [i29]Zefan Du, Wenrui Zhang, Wenqi Wei, Juntao Chen, Tao Han, Zhiding Liang, Ying Mao:
Efficient Circuit Cutting and Scheduling in a Multi-Node Quantum System with Dynamic EPR Pairs. CoRR abs/2412.18709 (2024) - 2023
- [b1]Wenqi Wei:
Adversarial Resilient and Privacy Preserving Deep learning. Georgia Institute of Technology, Atlanta, GA, USA, 2023 - [j10]Jingya Zhou, Ling Liu, Wenqi Wei, Jianxi Fan:
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding. ACM Comput. Surv. 55(2): 38:1-38:35 (2023) - [j9]Xigang Sun, Jingya Zhou, Ling Liu, Wenqi Wei:
Explicit time embedding based cascade attention network for information popularity prediction. Inf. Process. Manag. 60(3): 103278 (2023) - [j8]Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu:
Securing Distributed SGD Against Gradient Leakage Threats. IEEE Trans. Parallel Distributed Syst. 34(7): 2040-2054 (2023) - [c24]Wenqi Wei, Mu Qiao, Divyesh Jadav:
GNN-Ensemble: Towards Random Decision Graph Neural Networks. IEEE Big Data 2023: 956-965 - [c23]Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu:
Rethinking Learning Rate Tuning in the Era of Large Language Models. CogMI 2023: 112-121 - [c22]Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu:
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. CVPR 2023: 16343-16351 - [c21]Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu:
Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. ICDM 2023: 648-657 - [c20]Wenqi Wei, Ka-Ho Chow, Fatih Ilhan, Yanzhao Wu, Ling Liu:
Model Cloaking against Gradient Leakage. ICDM 2023: 1403-1408 - [c19]Gaolei Li, Yuanyuan Zhao, Wenqi Wei, Yuchen Liu:
Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats. SmartNets 2023: 1-8 - [c18]Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei:
Invisible Watermarking for Audio Generation Diffusion Models. TPS-ISA 2023: 193-202 - [i28]Fatih Ilhan, Ling Liu, Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu:
EENet: Learning to Early Exit for Adaptive Inference. CoRR abs/2301.07099 (2023) - [i27]Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu:
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. CoRR abs/2303.11511 (2023) - [i26]Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu:
Securing Distributed SGD against Gradient Leakage Threats. CoRR abs/2305.06473 (2023) - [i25]Gaolei Li, Yuanyuan Zhao, Wenqi Wei, Yuchen Liu:
Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats. CoRR abs/2306.07685 (2023) - [i24]Xigang Sun, Jingya Zhou, Ling Liu, Wenqi Wei:
Explicit Time Embedding Based Cascade Attention Network for Information Popularity Prediction. CoRR abs/2308.09976 (2023) - [i23]Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu:
Rethinking Learning Rate Tuning in the Era of Large Language Models. CoRR abs/2309.08859 (2023) - [i22]Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei:
Invisible Watermarking for Audio Generation Diffusion Models. CoRR abs/2309.13166 (2023) - [i21]Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu:
Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. CoRR abs/2310.02237 (2023) - [i20]Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu:
Hierarchical Pruning of Deep Ensembles with Focal Diversity. CoRR abs/2311.10293 (2023) - 2022
- [j7]Wenqi Wei, Ling Liu:
Gradient Leakage Attack Resilient Deep Learning. IEEE Trans. Inf. Forensics Secur. 17: 303-316 (2022) - [j6]Mehmet Emre Gursoy, Ling Liu, Ka Ho Chow, Stacey Truex, Wenqi Wei:
An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. 17: 1785-1799 (2022) - [j5]Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang:
A Comparative Measurement Study of Deep Learning as a Service Framework. IEEE Trans. Serv. Comput. 15(1): 551-566 (2022) - [c17]Wenqi Wei, Mu Qiao, Eric Butler, Divyesh Jadav:
Graph Representation Learning based Vulnerable Target Identification in Ransomware Attacks. IEEE Big Data 2022: 2423-2430 - 2021
- [j4]Wenqi Wei, Ling Liu:
Robust Deep Learning Ensemble Against Deception. IEEE Trans. Dependable Secur. Comput. 18(4): 1513-1527 (2021) - [j3]Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, Ling Liu:
Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy. IEEE Trans. Dependable Secur. Comput. 18(5): 2365-2378 (2021) - [j2]Wenqi Wei, Qi Zhang, Ling Liu:
Bitcoin Transaction Forecasting With Deep Network Representation Learning. IEEE Trans. Emerg. Top. Comput. 9(3): 1359-1371 (2021) - [j1]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei:
Demystifying Membership Inference Attacks in Machine Learning as a Service. IEEE Trans. Serv. Comput. 14(6): 2073-2089 (2021) - [c16]Yanzhao Wu, Ling Liu, Zhongwei Xie, Ka Ho Chow, Wenqi Wei:
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics. CVPR 2021: 16469-16477 - [c15]Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar:
Gradient-Leakage Resilient Federated Learning. ICDCS 2021: 797-807 - [c14]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Ka Ho Chow:
The TSC-PFed Architecture for Privacy-Preserving FL. TPS-ISA 2021: 207-216 - [i19]Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar:
Gradient-Leakage Resilient Federated Learning. CoRR abs/2107.01154 (2021) - [i18]Jingya Zhou, Ling Liu, Wenqi Wei, Jianxi Fan:
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding. CoRR abs/2110.07582 (2021) - [i17]Wenqi Wei, Ling Liu:
Gradient Leakage Attack Resilient Deep Learning. CoRR abs/2112.13178 (2021) - 2020
- [c13]Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei:
Promoting High Diversity Ensemble Learning with EnsembleBench. CogMI 2020: 208-217 - [c12]Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu:
Understanding Object Detection Through an Adversarial Lens. ESORICS (2) 2020: 460-481 - [c11]Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
A Framework for Evaluating Client Privacy Leakages in Federated Learning. ESORICS (1) 2020: 545-566 - [c10]Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei:
LDP-Fed: federated learning with local differential privacy. EdgeSys@EuroSys 2020: 61-66 - [c9]Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. ICNC 2020: 456-460 - [c8]Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
Adversarial Deception in Deep Learning: Analysis and Mitigation. TPS-ISA 2020: 236-245 - [c7]Ka Ho Chow, Ling Liu, Margaret Loper, Juhyun Bae, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu:
Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems. TPS-ISA 2020: 263-272 - [i16]Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu:
TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems. CoRR abs/2004.04320 (2020) - [i15]Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning. CoRR abs/2004.10397 (2020) - [i14]Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei:
LDP-Fed: Federated Learning with Local Differential Privacy. CoRR abs/2006.03637 (2020) - [i13]Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu:
Understanding Object Detection Through An Adversarial Lens. CoRR abs/2007.05828 (2020) - [i12]Wenqi Wei, Qi Zhang, Ling Liu:
Bitcoin Transaction Forecasting with Deep Network Representation Learning. CoRR abs/2007.07993 (2020) - [i11]Wenqi Wei, Ling Liu:
Robust Deep Learning Ensemble against Deception. CoRR abs/2009.06589 (2020) - [i10]Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei:
Promoting High Diversity Ensemble Learning with EnsembleBench. CoRR abs/2010.10623 (2020)
2010 – 2019
- 2019
- [c6]Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu:
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. IEEE BigData 2019: 1282-1291 - [c5]Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang:
Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks. IEEE BigData 2019: 1971-1980 - [c4]Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness. MASS 2019: 274-282 - [c3]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu:
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability. TPS-ISA 2019: 82-91 - [i9]Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, Ling Liu:
Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy. CoRR abs/1905.06361 (2019) - [i8]Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang:
Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks. CoRR abs/1908.06477 (2019) - [i7]Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu:
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. CoRR abs/1908.07667 (2019) - [i6]Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness. CoRR abs/1908.11091 (2019) - [i5]Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. CoRR abs/1910.01742 (2019) - [i4]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu:
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability. CoRR abs/1911.09777 (2019) - 2018
- [c2]Mehmet Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu, Wenqi Wei:
Utility-Aware Synthesis of Differentially Private and Attack-Resilient Location Traces. CCS 2018: 196-211 - [c1]Ling Liu, Yanzhao Wu, Wenqi Wei, Wenqi Cao, Semih Sahin, Qi Zhang:
Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond. ICDCS 2018: 1258-1269 - [i3]Wenqi Wei, Ling Liu, Stacey Truex, Lei Yu, Mehmet Emre Gursoy:
Adversarial Examples in Deep Learning: Characterization and Divergence. CoRR abs/1807.00051 (2018) - [i2]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei:
Towards Demystifying Membership Inference Attacks. CoRR abs/1807.09173 (2018) - [i1]Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang:
A Comparative Measurement Study of Deep Learning as a Service Framework. CoRR abs/1810.12210 (2018)
Coauthor Index
Ka-Ho Chow
aka: Ka Ho Chow
aka: Ka Ho Chow
[j16] [j13] [j12] [j11] [c31] [c26] [c25] [i37] [i34] [j10] [j9] [j8] [c22] [c21] [c20] [i28] [i27] [i26] [i24] [i21] [i20] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c16] [c15] [c14] [i19] [i18] [i17] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [c6] [c5] [c4] [c3] [i9] [i8] [i7] [i6] [i5] [i4] [c2] [c1] [i3] [i2] [i1]
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 2025-08-09 19:27 CEST 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:
