default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDawei Zhou 0003
Person information
- affiliation: Virginia Polytechnic Institute and State University, Department of Computer Science, VirginiaTech Learning on Graphs (VLOG) Lab, Blacksburg, VA, USA
- affiliation (PhD): University of Illinois at Urbana-Champaign, IL, USA
- affiliation (former): Arizona State University, Tempe, AZ, USA
- affiliation (former): University of Rochester, Rochester, NY, USA
Other persons with the same name
- Dawei Zhou (aka: Da-Wei Zhou) — disambiguation page
- Dawei Zhou 0004
![[0000-0002-0694-3603]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-0694-3603")
— City University of Macau, Faculty of Data Science, Macao, SAR, China (and 1 more) - Dawei Zhou 0006 — Jiangsu University, Zhenjiang, China
- Dawei Zhou 0008 — China University of Mining and Technology, Xuzhou, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[c46]Lihui Liu, Zihao Wang, Dawei Zhou, Ruijie Wang, Yuchen Yan, Bo Xiong, Sihong He, Hanghang Tong:
Few-Shot Knowledge Graph Completion via Transfer Knowledge from Similar Tasks. CIKM 2025: 4960-4965- [c45]Xinyue Zeng, Haohui Wang, Junhong Lin, Jun Wu, Tyler Cody, Dawei Zhou:
LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection. ICML 2025 - [c44]Wangzhi Zhan, Jianpeng Chen, Dongqi Fu, Dawei Zhou:
UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation. ICML 2025 - [c43]Weijie Guan, Haohui Wang, Jian Kang, Lihui Liu, Dawei Zhou:
EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network. KDD (2) 2025: 709-720 - [c42]Shuaicheng Zhang, Tuo Wang, Stephen Adams, Sanmitra Bhattacharya, Sunil Reddy Tiyyagura, Edward Bowen, Balaji Veeramani, Dawei Zhou:
MentorPDM: Learning Data-Driven Curriculum for Multi-Modal Predictive Maintenance. KDD (1) 2025: 2837-2847 - [c41]Tuo Wang, Jian Kang, Yujun Yan, Adithya Kulkarni, Dawei Zhou:
Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks. KDD (2) 2025: 3031-3042 - [c40]Jianpeng Chen, Wangzhi Zhan, Haohui Wang, Zian Jia, Jingru Gan, Junkai Zhang, Jingyuan Qi, Tingwei Chen, Lifu Huang, Muhao Chen, Ling Li, Wei Wang, Dawei Zhou:
MetamatBench: Integrating Heterogeneous Data, Computational Tools, and Visual Interface for Metamaterial Discovery. KDD (2) 2025: 5334-5344 - [c39]Tong Zeng, Longfeng Wu, Liang Shi, Dawei Zhou, Feng Guo:
Are Vision LLMs Road-Ready? A Comprehensive Benchmark for Safety-Critical Driving Video Understanding. KDD (2) 2025: 5972-5983 - [c38]Kexin Zhang, Baoyu Jing, K. Selçuk Candan, Dawei Zhou, Qingsong Wen, Han Liu, Kaize Ding:
Cross-Domain Conditional Diffusion Models for Time Series Imputation. ECML/PKDD (8) 2025: 57-74 - [c37]Fatimah Alotaibi, Adithya Kulkarni, Dawei Zhou:
Heterogeneous Multi-Agent Framework for Dynamic Generalized Category Discovery. SDM 2025: 331-334 - [c36]Lifu Huang, Danai Koutra, Adithya Kulkarni, Temiloluwa Prioleau, Qingyun Wu, Yujun Yan, Yaoqing Yang, James Zou, Dawei Zhou:
Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation. WWW (Companion Volume) 2025: 1639-1642 - [c35]Longfeng Wu, Yao Zhou, Jian Kang, Dawei Zhou:
Bridging Fairness and Uncertainty: Theoretical Insights and Practical Strategies for Equalized Coverage in GNNs. WWW 2025: 4625-4634 - [i31]Lihui Liu, Zihao Wang, Dawei Zhou, Ruijie Wang, Yuchen Yan, Bo Xiong, Sihong He, Kai Shu, Hanghang Tong:
TransNet: Transfer Knowledge for Few-shot Knowledge Graph Completion. CoRR abs/2504.03720 (2025) - [i30]Tong Zeng, Longfeng Wu, Liang Shi, Dawei Zhou, Feng Guo:
Are Vision LLMs Road-Ready? A Comprehensive Benchmark for Safety-Critical Driving Video Understanding. CoRR abs/2504.14526 (2025) - [i29]Xinyue Zeng, Haohui Wang, Junhong Lin, Jun Wu, Tyler Cody, Dawei Zhou:
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection. CoRR abs/2505.03793 (2025) - [i28]Adithya Kulkarni, Fatimah Alotaibi, Xinyue Zeng, Longfeng Wu, Tong Zeng, Barry Menglong Yao, Minqian Liu, Shuaicheng Zhang, Lifu Huang, Dawei Zhou:
Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions. CoRR abs/2505.04651 (2025) - [i27]Junhong Lin, Xinyue Zeng, Jie Zhu, Song Wang, Julian Shun, Jun Wu, Dawei Zhou:
Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning. CoRR abs/2505.16122 (2025) - [i26]Jianpeng Chen, Wangzhi Zhan, Haohui Wang, Zian Jia, Jingru Gan, Junkai Zhang, Jingyuan Qi, Tingwei Chen, Lifu Huang, Muhao Chen, Ling Li, Wei Wang, Dawei Zhou:
MetamatBench: Integrating Heterogeneous Data, Computational Tools, and Visual Interface for Metamaterial Discovery. CoRR abs/2505.20299 (2025) - [i25]Weijie Guan, Haohui Wang, Jian Kang, Lihui Liu, Dawei Zhou:
EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network. CoRR abs/2506.07288 (2025) - [i24]Kexin Zhang, Baoyu Jing, K. Selçuk Candan, Dawei Zhou, Qingsong Wen, Han Liu, Kaize Ding:
Cross-Domain Conditional Diffusion Models for Time Series Imputation. CoRR abs/2506.12412 (2025) - [i23]Wangzhi Zhan, Jianpeng Chen, Dongqi Fu, Dawei Zhou:
UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation. CoRR abs/2506.15722 (2025) - [i22]Tuo Wang, Jian Kang, Yujun Yan, Adithya Kulkarni, Dawei Zhou:
Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks. CoRR abs/2507.02151 (2025) - [i21]Xinyue Zeng, Tuo Wang, Adithya Kulkarni, Alexander Lu, Alexandra Ni, Phoebe Xing, Junhan Zhao, Siwei Chen, Dawei Zhou:
DISPROTBENCH: A Disorder-Aware, Task-Rich Benchmark for Evaluating Protein Structure Prediction in Realistic Biological Contexts. CoRR abs/2507.02883 (2025) - [i20]Tuo Wang, Adithya Kulkarni, Tyler Cody, Peter A. Beling, Yujun Yan, Dawei Zhou:
GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models. CoRR abs/2509.07925 (2025) - [i19]Shuaicheng Zhang, Haohui Wang, Junhong Lin, Xiaojie Guo, Yada Zhu, Si Zhang, Dongqi Fu, Dawei Zhou:
HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations. CoRR abs/2510.10864 (2025) - [i18]Junkai Zhang, Jingru Gan, Xiaoxuan Wang, Zian Jia, Changquan Gu, Jianpeng Chen, Yanqiao Zhu, Mingyu Derek Ma, Dawei Zhou, Ling Li, Wei Wang:
MatSciBench: Benchmarking the Reasoning Ability of Large Language Models in Materials Science. CoRR abs/2510.12171 (2025) - [i17]Zheng Huang, Enpei Zhang, Yinghao Cai, Weikang Qiu, Carl Yang, Elynn Chen, Xiang Zhang, Rex Ying, Dawei Zhou, Yujun Yan:
Seeing Through the Brain: New Insights from Decoding Visual Stimuli with fMRI. CoRR abs/2510.16196 (2025) - [i16]Haohui Wang, Jingyuan Qi, Jianpeng Chen, Jun Wu, Lifu Huang, Lecheng Zheng, Kevin Choi, Balaji Veeramani, Edward Bowen, Alison Hu, Tyler Cody, Dawei Zhou:
Data Value in the Age of Scaling: Understanding LLM Scaling Dynamics Under Real-Synthetic Data Mixtures. CoRR abs/2511.13640 (2025) - 2024
- [j8]Dawei Zhou, Jingrui He:
Rare Category Analysis for Complex Data: A Review. ACM Comput. Surv. 56(5): 123:1-123:35 (2024) - [c34]Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Dawei Zhou, Yada Zhu, Julian Shun:
UnifiedGT: Towards a Universal Framework of Transformers in Large-Scale Graph Learning. IEEE Big Data 2024: 1057-1066 - [c33]Fatimah Alotaibi, Adithya Kulkarni, Dawei Zhou:
Graph of Logic: Enhancing LLM Reasoning with Graphs and Symbolic Logic. IEEE Big Data 2024: 5926-5935 - [c32]Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang:
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. CIKM 2024: 1027-1037 - [c31]Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He:
Fairgen: Towards Fair Graph Generation. ICDE 2024: 2285-2297 - [c30]Zheng Huang, Qihui Yang, Dawei Zhou, Yujun Yan:
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning. ICML 2024 - [c29]Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou:
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs. ICML 2024 - [c28]Tingwei Chen, Jianpeng Chen, Dawei Zhou:
3D-FuM: Benchmarking 3D Molecule Learning with Functional Groups. IJCAI 2024: 8635-8639 - [c27]Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Wei Cheng, Si Zhang, Yonghui Fan, Liqing Zhang, Dawei Zhou:
Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization. KDD 2024: 3045-3056 - [c26]Haohui Wang, Weijie Guan, Jianpeng Chen, Zi Wang, Dawei Zhou:
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox. NeurIPS 2024 - [c25]Jingrui He, Jian Kang, Fatemeh Nargesian, Haohui Wang, An Zhang, Dawei Zhou:
TrustLOG: The Second Workshop on Trustworthy Learning on Graphs. WWW (Companion Volume) 2024: 1785-1788 - [i15]Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang:
CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. CoRR abs/2403.11960 (2024) - [i14]Zheng Huang, Qihui Yang, Dawei Zhou, Yujun Yan:
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning. CoRR abs/2406.04601 (2024) - [i13]Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Dawei Zhou, Yada Zhu, Julian Shun:
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods. CoRR abs/2407.10916 (2024) - [i12]Mohammad Beigi, Sijia Wang, Ying Shen, Zihao Lin, Adithya Kulkarni, Jianfeng He, Feng Chen, Ming Jin, Jin-Hee Cho, Dawei Zhou, Chang-Tien Lu, Lifu Huang:
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models. CoRR abs/2410.20199 (2024) - [i11]Jingyuan Qi, Zian Jia, Minqian Liu, Wangzhi Zhan, Junkai Zhang, Xiaofei Wen, Jingru Gan, Jianpeng Chen, Qin Liu, Mingyu Derek Ma, Bangzheng Li, Haohui Wang, Adithya Kulkarni, Muhao Chen, Dawei Zhou, Ling Li, Wei Wang, Lifu Huang:
MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design. CoRR abs/2412.16270 (2024) - 2023
- [c24]Fatimah Alotaibi, Dawei Zhou:
Towards Bi-Level Out-of-Distribution Logical Reasoning on Knowledge Graphs. IEEE Big Data 2023: 1-5 - [c23]Shuaicheng Zhang, Yada Zhu, Dawei Zhou:
TGEditor: Task-Guided Graph Editing for Augmenting Temporal Financial Transaction Networks. ICAIF 2023: 219-226 - [c22]Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng:
Personalized Federated Learning under Mixture of Distributions. ICML 2023: 37860-37879 - [c21]Longfeng Wu, Bowen Lei, Dongkuan Xu, Dawei Zhou:
Towards Reliable Rare Category Analysis on Graphs via Individual Calibration. KDD 2023: 2629-2638 - [c20]Dongqi Fu, Dawei Zhou, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He:
Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs. WWW 2023: 3755-3765 - [i10]Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He:
FairGen: Towards Fair Graph Generation. CoRR abs/2303.17743 (2023) - [i9]Haohui Wang, Yuzhen Mao, Jianhui Sun, Si Zhang, Dawei Zhou:
Dynamic Transfer Learning across Graphs. CoRR abs/2305.00664 (2023) - [i8]Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng:
Personalized Federated Learning under Mixture of Distributions. CoRR abs/2305.01068 (2023) - [i7]Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Dawei Zhou:
Characterizing Long-Tail Categories on Graphs. CoRR abs/2305.09938 (2023) - [i6]Shuaicheng Zhang, Haohui Wang, Si Zhang, Dawei Zhou:
GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily. CoRR abs/2306.14340 (2023) - [i5]Haohui Wang, Weijie Guan, Jianpeng Chen, Zi Wang, Dawei Zhou:
HeroLT: Benchmarking Heterogeneous Long-Tailed Learning. CoRR abs/2307.08235 (2023) - [i4]Longfeng Wu, Bowen Lei, Dongkuan Xu, Dawei Zhou:
Towards Reliable Rare Category Analysis on Graphs via Individual Calibration. CoRR abs/2307.09858 (2023) - 2022
- [j7]Dongming Han, Jiacheng Pan, Rusheng Pan, Dawei Zhou, Nan Cao, Jingrui He, Mingliang Xu, Wei Chen:
iNet: visual analysis of irregular transition in multivariate dynamic networks. Frontiers Comput. Sci. 16(2): 162701 (2022) - [c19]Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He:
MentorGNN: Deriving Curriculum for Pre-Training GNNs. CIKM 2022: 2721-2731 - [c18]Jian Kang, Shuaicheng Zhang, Bo Li, Jingrui He, Jian Pei, Dawei Zhou:
TrustLOG: The First Workshop on Trustworthy Learning on Graphs. CIKM 2022: 5169-5170 - [c17]Yuzhen Mao, Jianhui Sun, Dawei Zhou:
Augmenting Knowledge Transfer across Graphs. ICDM 2022: 1101-1106 - [c16]Longfeng Wu, Yao Zhou, Dawei Zhou:
Towards High-Order Complementary Recommendation via Logical Reasoning Network. ICDM 2022: 1227-1232 - [i3]Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He:
MentorGNN: Deriving Curriculum for Pre-Training GNNs. CoRR abs/2208.09905 (2022) - [i2]Yuzhen Mao, Jianhui Sun, Dawei Zhou:
Augmenting Knowledge Transfer across Graphs. CoRR abs/2212.04725 (2022) - [i1]Longfeng Wu, Yao Zhou, Dawei Zhou:
Towards High-Order Complementary Recommendation via Logical Reasoning Network. CoRR abs/2212.04966 (2022) - 2021
- [j6]Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He:
High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective. ACM Trans. Knowl. Discov. Data 15(2): 18:1-18:26 (2021) - 2020
- [j5]Jiacheng Pan, Dongming Han, Fangzhou Guo, Dawei Zhou, Nan Cao, Jingrui He, Mingliang Xu, Wei Chen:
RCAnalyzer: visual analytics of rare categories in dynamic networks. Frontiers Inf. Technol. Electron. Eng. 21(4): 491-506 (2020) - [c15]Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He:
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk. AAAI 2020: 4973-4980 - [c14]Shane Roach, Connie Ni, Alexei Kopylov, Tsai-Ching Lu, Jiejun Xu, Si Zhang, Boxin Du, Dawei Zhou, Jun Wu, Lihui Liu, Yuchen Yan, Jingrui He, Hanghang Tong:
CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. IEEE BigData 2020: 1634-1643 - [c13]Dongqi Fu, Dawei Zhou, Jingrui He:
Local Motif Clustering on Time-Evolving Graphs. KDD 2020: 390-400 - [c12]Dawei Zhou, Lecheng Zheng, Jiawei Han, Jingrui He:
A Data-Driven Graph Generative Model for Temporal Interaction Networks. KDD 2020: 401-411 - [c11]Dawei Zhou, Lecheng Zheng, Yada Zhu, Jianbo Li, Jingrui He:
Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting. WWW 2020: 2230-2240
2010 – 2019
- 2019
- [j4]Dawei Zhou, Lecheng Zheng, Jiejun Xu, Jingrui He:
Misc-GAN: A Multi-scale Generative Model for Graphs. Frontiers Big Data 2: 3 (2019) - [c10]Zhining Liu, Dawei Zhou, Jingrui He:
Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks. CIKM 2019: 2137-2140 - [c9]Dawei Zhou, Jingrui He:
Gold Panning from the Mess: Rare Category Exploration, Exposition, Representation, and Interpretation. KDD 2019: 3213-3214 - 2018
- [c8]Dawei Zhou, Jingrui He, Hasan Davulcu, Ross Maciejewski:
Motif-Preserving Dynamic Local Graph Cut. IEEE BigData 2018: 1156-1161 - [c7]Dawei Zhou, Jingrui He, Hongxia Yang, Wei Fan:
SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization. KDD 2018: 2807-2816 - 2017
- [j3]Dawei Zhou, Arun Karthikeyan, Kangyang Wang, Nan Cao, Jingrui He:
Discovering rare categories from graph streams. Data Min. Knowl. Discov. 31(2): 400-423 (2017) - [c6]Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He:
A Local Algorithm for Structure-Preserving Graph Cut. KDD 2017: 655-664 - [c5]Si Zhang, Dawei Zhou, Mehmet Yigit Yildirim, Scott Alcorn, Jingrui He, Hasan Davulcu, Hanghang Tong:
HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection. SDM 2017: 570-578 - 2016
- [j2]Pei Yang, Hongxia Yang, Haoda Fu, Dawei Zhou, Jieping Ye, Theodoros Lappas, Jingrui He:
Jointly Modeling Label and Feature Heterogeneity in Medical Informatics. ACM Trans. Knowl. Discov. Data 10(4): 39:1-39:25 (2016) - [c4]Dawei Zhou, Jingrui He, Yu Cao, Jae-sun Seo:
Bi-Level Rare Temporal Pattern Detection. ICDM 2016: 719-728 - 2015
- [j1]Li Chen, Jeremy Warner, Pak Lam Yung, Dawei Zhou, Wendi B. Heinzelman, Ilker Demirkol, Ufuk Muncuk, Kaushik R. Chowdhury, Stefano Basagni:
REACH2-Mote: A Range-Extending Passive Wake-Up Wireless Sensor Node. ACM Trans. Sens. Networks 11(4): 64:1-64:33 (2015) - [c3]Dawei Zhou, Jiebo Luo, Vincent M. B. Silenzio, Yun Zhou, Jile Hu, Glenn Currier, Henry A. Kautz:
Tackling Mental Health by Integrating Unobtrusive Multimodal Sensing. AAAI 2015: 1401-1409 - [c2]Dawei Zhou, Kangyang Wang, Nan Cao, Jingrui He:
Rare Category Detection on Time-Evolving Graphs. ICDM 2015: 1135-1140 - [c1]Dawei Zhou, Jingrui He, K. Selçuk Candan, Hasan Davulcu:
MUVIR: Multi-View Rare Category Detection. IJCAI 2015: 4098-4104
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 2026-01-29 23:31 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:
