default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSong Wang 0009
Person information
- affiliation: York University, Toronto, ON, Canada
- affiliation (PhD 2018): University of Waterloo, Canada
Other persons with the same name
- Song Wang — disambiguation page
- Song Wang 0001 — Hewlett-Packard Laboratories, Palo Alto, CA, USA (and 1 more)
- Song Wang 0002
![[0000-0003-4152-5295]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-4152-5295")
— University of South Carolina, Department of Computer Science and Engineering, Columbia, SC, USA (and 1 more) - Song Wang 0003 — La Trobe University, School of Engineering and Mathematical Sciences, VIC, Australia (and 1 more)
- Song Wang 0004 — Curtin University, Department of Mathematics and Statistics, Perth, Australia (and 2 more)
- Song Wang 0005 — McGill University, Schulich School of Music, Montreal, QC, Canada (and 1 more)
- Song Wang 0006 — Beijing University of Posts and Telecommunications, Automation College, China
- Song Wang 0007 — Fujitsu R&D Center, Beijing, China
- Song Wang 0008 — Zhengzhou University, School of Information Engineering, China
- Song Wang 0010 — Southwest University of Science and Technology, School of Computer Science and Technology, Mianyang, China
- Song Wang 0011 — Wuhan University, School of Computer Science, National Engineering Research Center for Multimedia Software, China
- Song Wang 0012 — Microsoft Azure
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j15]Fangwen Mu, Lin Shi, Song Wang, Zhuohao Yu, Binquan Zhang, Chenxue Wang, Shichao Liu, Qing Wang:
ClarifyGPT: A Framework for Enhancing LLM-Based Code Generation via Requirements Clarification. Proc. ACM Softw. Eng. 1(FSE): 2332-2354 (2024)- [j14]Jiho Shin, Moshi Wei, Junjie Wang, Lin Shi, Song Wang:
The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks. ACM Trans. Softw. Eng. Methodol. 33(2): 51:1-51:24 (2024) - [j13]Junjie Wang, Yuchao Huang, Chunyang Chen, Zhe Liu, Song Wang, Qing Wang:
Software Testing With Large Language Models: Survey, Landscape, and Vision. IEEE Trans. Software Eng. 50(4): 911-936 (2024) - [j12]Jiho Shin, Hadi Hemmati, Moshi Wei, Song Wang:
Assessing Evaluation Metrics for Neural Test Oracle Generation. IEEE Trans. Software Eng. 50(9): 2337-2349 (2024) - [c41]Mohammad Mahdi Mohajer, Reem Aleithan, Nima Shiri Harzevili, Moshi Wei, Alvine Boaye Belle, Hung Viet Pham, Song Wang:
Effectiveness of ChatGPT for Static Analysis: How Far Are We? AIware 2024 - [c40]Mohammad Mahdi Mohajer, Alvine Boaye Belle, Nima Shiri Harzevili, Junjie Wang, Hadi Hemmati, Song Wang, Zhen Ming (Jack) Jiang:
Fairness Analysis of Machine Learning-Based Code Reviewer Recommendation. BIAS 2024: 46-63 - [c39]Kimya Khakzad Shahandashti, Mithila Sivakumar, Mohammad Mahdi Mohajer, Alvine Boaye Belle, Song Wang, Timothy Lethbridge:
Assessing the Impact of GPT-4 Turbo in Generating Defeaters for Assurance Cases. FORGE 2024: 52-56 - [c38]Yuchao Huang, Junjie Wang, Zhe Liu, Yawen Wang, Song Wang, Chunyang Chen, Yuanzhe Hu, Qing Wang:
CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace. ICSE 2024: 18:1-18:13 - [c37]Moshi Wei, Nima Shiri Harzevili, Yuekai Huang, Jinqiu Yang, Junjie Wang, Song Wang:
Demystifying and Detecting Misuses of Deep Learning APIs. ICSE 2024: 201:1-201:12 - [c36]Jiho Shin, Sepehr Hashtroudi, Hadi Hemmati, Song Wang:
Domain Adaptation for Code Model-Based Unit Test Case Generation. ISSTA 2024: 1211-1222 - [c35]Yuekai Huang, Junjie Wang, Song Wang, Rupeng Zhang, Qing Wang:
Which API is Faster: Mining Fine-grained Performance Opinion from Online Discussions. QRS 2024: 608-619 - [c34]Kimya Khakzad Shahandashti, Alvine Boaye Belle, Mohammad Mahdi Mohajer, Oluwafemi Odu, Timothy C. Lethbridge, Hadi Hemmati, Song Wang:
Using GPT-4 Turbo to Automatically Identify Defeaters in Assurance Cases. RE Workshops 2024: 46-56 - [i32]Mithila Sivakumar, Alvine Boaye Belle, Kimya Khakzad Shahandashti, Oluwafemi Odu, Hadi Hemmati, Segla Kpodjedo, Song Wang, Opeyemi O. Adesina:
I came, I saw, I certified: some perspectives on the safety assurance of cyber-physical systems. CoRR abs/2401.16633 (2024) - [i31]Kimya Khakzad Shahandashti, Mithila Sivakumar, Mohammad Mahdi Mohajer, Alvine Boaye Belle, Song Wang, Timothy C. Lethbridge:
Evaluating the Effectiveness of GPT-4 Turbo in Creating Defeaters for Assurance Cases. CoRR abs/2401.17991 (2024) - [i30]Oluwafemi Odu, Alvine Boaye Belle, Song Wang, Kimya Khakzad Shahandashti:
A PRISMA-Driven Bibliometric Analysis of the Scientific Literature on Assurance Case Patterns. CoRR abs/2407.04961 (2024) - [i29]Hamed Taherkhani, Melika Sepindband, Hung Viet Pham, Song Wang, Hadi Hemmati:
EPiC: Cost-effective Search-based Prompt Engineering of LLMs for Code Generation. CoRR abs/2408.11198 (2024) - [i28]Kimya Khakzad Shahandashti, Mohammad Mahdi Mohajer, Alvine Boaye Belle, Song Wang, Hadi Hemmati:
Program Slicing in the Era of Large Language Models. CoRR abs/2409.12369 (2024) - [i27]Jiho Shin, Reem Aleithan, Hadi Hemmati, Song Wang:
Retrieval-Augmented Test Generation: How Far Are We? CoRR abs/2409.12682 (2024) - 2023
- [j11]Wen Zhang, Jiangpeng Zhao, Rui Peng, Song Wang, Ye Yang:
SusRec: An Approach to Sustainable Developer Recommendation for Bug Resolution Using Multimodal Ensemble Learning. IEEE Trans. Reliab. 72(1): 61-78 (2023) - [j10]Moshi Wei, Yuchao Huang, Jinqiu Yang, Junjie Wang, Song Wang:
CoCoFuzzing: Testing Neural Code Models With Coverage-Guided Fuzzing. IEEE Trans. Reliab. 72(3): 1276-1289 (2023) - [c33]Jiho Shin, Reem Aleithan, Jaechang Nam, Junjie Wang, Nima Shiri Harzevili, Song Wang:
An Empirical Study on the Stability of Explainable Software Defect Prediction. APSEC 2023: 141-150 - [c32]Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang:
Developer-Intent Driven Code Comment Generation. ICSE 2023: 768-780 - [c31]Yuchao Huang, Junjie Wang, Zhe Liu, Song Wang, Chunyang Chen, Mingyang Li, Qing Wang:
Context-aware Bug Reproduction for Mobile Apps. ICSE 2023: 2336-2348 - [c30]Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan:
Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet? ISSRE 2023: 795-806 - [c29]Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan:
Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries. MSR 2023: 27-38 - [i26]Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang:
Developer-Intent Driven Code Comment Generation. CoRR abs/2302.07055 (2023) - [i25]Jiho Shin, Moshi Wei, Junjie Wang, Lin Shi, Song Wang:
The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks. CoRR abs/2305.09082 (2023) - [i24]Nima Shiri Harzevili, Hung Viet Pham, Song Wang:
Security Knowledge-Guided Fuzzing of Deep Learning Libraries. CoRR abs/2306.03269 (2023) - [i23]Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Song Wang, Zhen Ming Jiang, Nachiappan Nagappan:
A Survey on Automated Software Vulnerability Detection Using Machine Learning and Deep Learning. CoRR abs/2306.11673 (2023) - [i22]Arunkaleeshwaran Narayanan, Nima Shiri Harzevili, Junjie Wang, Lin Shi, Moshi Wei, Song Wang:
Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge. CoRR abs/2307.00404 (2023) - [i21]Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan:
Automatic Static Bug Detection for Machine Learning Libraries: Are We There Yet? CoRR abs/2307.04080 (2023) - [i20]Junjie Wang, Yuchao Huang, Chunyang Chen, Zhe Liu, Song Wang, Qing Wang:
Software Testing with Large Language Model: Survey, Landscape, and Vision. CoRR abs/2307.07221 (2023) - [i19]Mohammad Mahdi Mohajer, Alvine Boaye Belle, Nima Shiri Harzevili, Junjie Wang, Hadi Hemmati, Song Wang, Zhen Ming Jiang:
A First Look at Fairness of Machine Learning Based Code Reviewer Recommendation. CoRR abs/2307.11298 (2023) - [i18]Sepehr Hashtroudi, Jiho Shin, Hadi Hemmati, Song Wang:
Automated Test Case Generation Using Code Models and Domain Adaptation. CoRR abs/2308.08033 (2023) - [i17]Nima Shiri Harzevili, Hung Viet Pham, Song Wang:
Benchmarking Deep Learning Fuzzers. CoRR abs/2310.06912 (2023) - [i16]Yuchao Huang, Junjie Wang, Zhe Liu, Yawen Wang, Song Wang, Chunyang Chen, Yuanzhe Hu, Qing Wang:
CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace. CoRR abs/2310.07128 (2023) - [i15]Jiho Shin, Hadi Hemmati, Moshi Wei, Song Wang:
Assessing Evaluation Metrics for Neural Test Oracle Generation. CoRR abs/2310.07856 (2023) - [i14]Jiho Shin, Clark Tang, Tahmineh Mohati, Maleknaz Nayebi, Song Wang, Hadi Hemmati:
Prompt Engineering or Fine Tuning: An Empirical Assessment of Large Language Models in Automated Software Engineering Tasks. CoRR abs/2310.10508 (2023) - [i13]Fangwen Mu, Lin Shi, Song Wang, Zhuohao Yu, Binquan Zhang, Chenxue Wang, Shichao Liu, Qing Wang:
ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification. CoRR abs/2310.10996 (2023) - [i12]Mohammad Mahdi Mohajer, Reem Aleithan, Nima Shiri Harzevili, Moshi Wei, Alvine Boaye Belle, Hung Viet Pham, Song Wang:
SkipAnalyzer: An Embodied Agent for Code Analysis with Large Language Models. CoRR abs/2310.18532 (2023) - [i11]Mithila Sivakumar, Alvine Boaye Belle, Jinjun Shan, Opeyemi Adesina, Song Wang, Marsha Chechik, Marios Fokaefs, Kimya Khakzad Shahandashti, Oluwafemi Odu:
The Last Decade in Review: Tracing the Evolution of Safety Assurance Cases through a Comprehensive Bibliometric Analysis. CoRR abs/2311.07495 (2023) - [i10]Moshi Wei, Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Lin Shi, Jinqiu Yang, Song Wang, Zhen Ming Jiang:
A Survey on Query-based API Recommendation. CoRR abs/2312.10623 (2023) - 2022
- [j9]Yuchao Huang, Moshi Wei, Song Wang, Junjie Wang, Qing Wang:
Yet another combination of IR- and neural-based comment generation. Inf. Softw. Technol. 152: 107001 (2022) - [j8]Junjie Wang, Ye Yang, Song Wang, Jun Hu, Qing Wang:
Context- and Fairness-Aware In-Process Crowdworker Recommendation. ACM Trans. Softw. Eng. Methodol. 31(3): 35:1-35:31 (2022) - [j7]Junjie Wang, Ye Yang, Song Wang, Chunyang Chen, Dandan Wang, Qing Wang:
Context-Aware Personalized Crowdtesting Task Recommendation. IEEE Trans. Software Eng. 48(8): 3131-3144 (2022) - [c28]Yingling Li, Xing Che, Yuekai Huang, Junjie Wang, Song Wang, Yawen Wang, Qing Wang:
A Tale of Two Tasks: Automated Issue Priority Prediction with Deep Multi-task Learning. ESEM 2022: 1-11 - [c27]Moshi Wei, Nima Shiri Harzevili, Yuchao Huang, Junjie Wang, Song Wang:
CLEAR: Contrastive Learning for API Recommendation. ICSE 2022: 376-387 - [c26]Junjie Wang, Yuchao Huang, Song Wang, Qing Wang:
Find bugs in static bug finders. ICPC 2022: 516-527 - [c25]Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang:
Automatic Comment Generation via Multi-Pass Deliberation. ASE 2022: 14:1-14:12 - [c24]Lin Shi, Fangwen Mu, Xiao Chen, Song Wang, Junjie Wang, Ye Yang, Ge Li, Xin Xia, Qing Wang:
Are we building on the rock? on the importance of data preprocessing for code summarization. ESEC/SIGSOFT FSE 2022: 107-119 - [c23]Moshi Wei, Yuchao Huang, Junjie Wang, Jiho Shin, Nima Shiri Harzevili, Song Wang:
API recommendation for machine learning libraries: how far are we? ESEC/SIGSOFT FSE 2022: 370-381 - [i9]Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang:
Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries. CoRR abs/2203.06502 (2022) - [i8]Lin Shi, Fangwen Mu, Xiao Chen, Song Wang, Junjie Wang, Ye Yang, Ge Li, Xin Xia, Qing Wang:
Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization. CoRR abs/2207.05579 (2022) - [i7]Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang:
Automatic Comment Generation via Multi-Pass Deliberation. CoRR abs/2209.06634 (2022) - 2021
- [j6]Song Wang, Chetan Bansal, Nachiappan Nagappan:
Large-scale intent analysis for identifying large-review-effort code changes. Inf. Softw. Technol. 130: 106408 (2021) - [j5]Junjie Wang, Song Wang, Jianfeng Chen, Tim Menzies, Qiang Cui, Miao Xie, Qing Wang:
Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing. IEEE Trans. Software Eng. 47(6): 1259-1276 (2021) - [c22]Yuekai Huang, Junjie Wang, Song Wang, Zhe Liu, Dandan Wang, Qing Wang:
Characterizing and Predicting Good First Issues. ESEM 2021: 13:1-13:12 - [c21]Song Wang, Junjie Wang, Jaechang Nam, Nachiappan Nagappan:
Continuous Software Bug Prediction. ESEM 2021: 14:1-14:12 - [c20]Song Wang, Nishtha Shrestha, Abarna Kucheri Subburaman, Junjie Wang, Moshi Wei, Nachiappan Nagappan:
Automatic Unit Test Generation for Machine Learning Libraries: How Far Are We? ICSE 2021: 1548-1560 - [c19]Song Wang, Nachiappan Nagappan:
Characterizing and Understanding Software Developer Networks in Security Development. ISSRE 2021: 534-545 - [c18]Wen Zhang, Jiangpeng Zhao, Song Wang:
SusTriage: Sustainable Bug Triage with Multi-modal Ensemble Learning. WI/IAT (Workshop/Special Session) 2021: 441-448 - [i6]Moshi Wei, Yuchao Huang, Jinqiu Yang, Junjie Wang, Song Wang:
CoCoFuzzing: Testing Neural Code Models with Coverage-Guided Fuzzing. CoRR abs/2106.09242 (2021) - [i5]Yuchao Huang, Moshi Wei, Song Wang, Junjie Wang, Qing Wang:
Yet Another Combination of IR- and Neural-based Comment Generation. CoRR abs/2107.12938 (2021) - [i4]Junjie Wang, Yuchao Huang, Song Wang, Qing Wang:
Find Bugs in Static Bug Finders. CoRR abs/2109.02245 (2021) - [i3]Jiho Shin, Reem Aleithan, Jaechang Nam, Junjie Wang, Song Wang:
Explainable Software Defect Prediction: Are We There Yet? CoRR abs/2111.10901 (2021) - 2020
- [j4]Song Wang, Taiyue Liu, Jaechang Nam, Lin Tan:
Deep Semantic Feature Learning for Software Defect Prediction. IEEE Trans. Software Eng. 46(12): 1267-1293 (2020) - [c17]Yuekai Huang, Junjie Wang, Song Wang, Zhe Liu, Yuanzhe Hu, Qing Wang:
Quest for the Golden Approach: An Experimental Evaluation of Duplicate Crowdtesting Reports Detection. ESEM 2020: 17:1-17:12 - [c16]Junjie Wang, Ye Yang, Song Wang, Yuanzhe Hu, Dandan Wang, Qing Wang:
Context-aware in-process crowdworker recommendation. ICSE 2020: 1535-1546
2010 – 2019
- 2019
- [j3]Junjie Wang, Mingyang Li, Song Wang, Tim Menzies, Qing Wang:
Images don't lie: Duplicate crowdtesting reports detection with screenshot information. Inf. Softw. Technol. 110: 139-155 (2019) - [j2]Jaechang Nam, Song Wang, Yuan Xi, Lin Tan:
A bug finder refined by a large set of open-source projects. Inf. Softw. Technol. 112: 164-175 (2019) - [c15]Song Wang, Chetan Bansal, Nachiappan Nagappan, Adithya Abraham Philip:
Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes. PROMISE 2019: 46-55 - [i2]Song Wang, Nachi Nagappan:
Characterizing and Understanding Software Developer Networks in Security Development. CoRR abs/1907.12141 (2019) - 2018
- [b1]Song Wang:
Leveraging Machine Learning to Improve Software Reliability. University of Waterloo, Ontario, Canada, 2018 - [c14]Junjie Wang, Song Wang, Qing Wang:
Is there a "golden" feature set for static warning identification?: an experimental evaluation. ESEM 2018: 17:1-17:10 - [c13]Jaechang Nam, Song Wang, Yuan Xi, Lin Tan:
Designing bug detection rules for fewer false alarms. ICSE (Companion Volume) 2018: 315-316 - [i1]Junjie Wang, Mingyang Li, Song Wang, Tim Menzies, Qing Wang:
Cutting Away the Confusion From Crowdtesting. CoRR abs/1805.02763 (2018) - 2017
- [c12]Junjie Wang, Qiang Cui, Song Wang, Qing Wang:
Domain Adaptation for Test Report Classification in Crowdsourced Testing. ICSE-SEIP 2017: 83-92 - [c11]Qiang Cui, Song Wang, Junjie Wang, Yuanzhe Hu, Qing Wang, Mingshu Li:
Multi-Objective Crowd Worker Selection in Crowdsourced Testing. SEKE 2017: 218-223 - [c10]Song Wang, Jaechang Nam, Lin Tan:
QTEP: quality-aware test case prioritization. ESEC/SIGSOFT FSE 2017: 523-534 - 2016
- [j1]Wen Zhang, Song Wang, Qing Wang:
KSAP: An approach to bug report assignment using KNN search and heterogeneous proximity. Inf. Softw. Technol. 70: 68-84 (2016) - [c9]Junjie Wang, Qiang Cui, Qing Wang, Song Wang:
Towards Effectively Test Report Classification to Assist Crowdsourced Testing. ESEM 2016: 6:1-6:10 - [c8]Song Wang, Taiyue Liu, Lin Tan:
Automatically learning semantic features for defect prediction. ICSE 2016: 297-308 - [c7]Junjie Wang, Song Wang, Qiang Cui, Qing Wang:
Local-based active classification of test report to assist crowdsourced testing. ASE 2016: 190-201 - [c6]Song Wang, Devin Chollak, Dana Movshovitz-Attias, Lin Tan:
Bugram: bug detection with n-gram language models. ASE 2016: 708-719 - 2015
- [c5]Xinye Tang, Song Wang, Ke Mao:
Will This Bug-Fixing Change Break Regression Testing? ESEM 2015: 215-224 - [c4]Edmund Wong, Lei Zhang, Song Wang, Taiyue Liu, Lin Tan:
DASE: Document-Assisted Symbolic Execution for Improving Automated Software Testing. ICSE (1) 2015: 620-631 - [p1]Wen Zhang, Song Wang, Guangle Han, Ye Yang, Qing Wang:
HIPRank: Ranking Nodes by Influence Propagation Based on Authority and Hub. Smart Modeling and Simulation for Complex Systems 2015: 1-14 - 2014
- [c3]Song Wang, Wen Zhang, Qing Wang:
FixerCache: unsupervised caching active developers for diverse bug triage. ESEM 2014: 25:1-25:10 - 2013
- [c2]Wen Zhang, Song Wang, Ye Yang, Qing Wang:
Heterogeneous Network Analysis of Developer Contribution in Bug Repositories. CSC 2013: 98-105 - [c1]Song Wang, Wen Zhang, Ye Yang, Qing Wang:
DevNet: Exploring Developer Collaboration in Heterogeneous Networks of Bug Repositories. ESEM 2013: 193-202
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 20:33 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:
