Enyan Dai

1.2k total citations
23 papers, 614 citations indexed

About

Enyan Dai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Safety Research. According to data from OpenAlex, Enyan Dai has authored 23 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Safety Research. Recurrent topics in Enyan Dai's work include Advanced Graph Neural Networks (13 papers), Explainable Artificial Intelligence (XAI) (6 papers) and Ethics and Social Impacts of AI (5 papers). Enyan Dai is often cited by papers focused on Advanced Graph Neural Networks (13 papers), Explainable Artificial Intelligence (XAI) (6 papers) and Ethics and Social Impacts of AI (5 papers). Enyan Dai collaborates with scholars based in United States, Hong Kong and Sweden. Enyan Dai's co-authors include Suhang Wang, Tianxiang Zhao, Yiwei Sun, Charų C. Aggarwal, Hui Liu, Yuqing Hu, Jianli Chen, Wei Jin, X. D. Zhang and Kai Shu and has published in prestigious journals such as Applied Energy, IEEE Transactions on Software Engineering and Neurocomputing.

In The Last Decade

Enyan Dai

20 papers receiving 605 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Enyan Dai United States 11 416 95 90 90 80 23 614
Chaoyang He United States 11 516 1.2× 35 0.4× 107 1.2× 110 1.2× 56 0.7× 22 711
Yiqi Wang China 10 267 0.6× 30 0.3× 143 1.6× 64 0.7× 13 0.2× 19 464
Jian Kang United States 10 237 0.6× 105 1.1× 82 0.9× 52 0.6× 25 0.3× 41 375
Hongwei Kang China 14 128 0.3× 97 1.0× 11 0.1× 33 0.4× 169 2.1× 59 460
Qingying Yu China 11 162 0.4× 7 0.1× 51 0.6× 75 0.8× 61 0.8× 46 365
Sina Shaham United States 7 285 0.7× 29 0.3× 57 0.6× 29 0.3× 84 1.1× 18 386
Djallel Bouneffouf United States 10 218 0.5× 43 0.5× 44 0.5× 45 0.5× 11 0.1× 44 392
Xingping Sun China 13 127 0.3× 79 0.8× 8 0.1× 33 0.4× 145 1.8× 52 429

Countries citing papers authored by Enyan Dai

Since Specialization
Citations

This map shows the geographic impact of Enyan Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Enyan Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enyan Dai more than expected).

Fields of papers citing papers by Enyan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Enyan Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Enyan Dai. The network helps show where Enyan Dai may publish in the future.

Co-authorship network of co-authors of Enyan Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Enyan Dai. A scholar is included among the top collaborators of Enyan Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Enyan Dai. Enyan Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dai, Enyan, et al.. (2025). Stealing Training Graphs from Graph Neural Networks. 777–788.
2.
Liu, Huaxiao, et al.. (2024). Improving Issue-PR Link Prediction via Knowledge-Aware Heterogeneous Graph Learning. IEEE Transactions on Software Engineering. 50(7). 1901–1920. 2 indexed citations
3.
Dai, Enyan, et al.. (2024). Shape-aware Graph Spectral Learning. 2692–2701. 2 indexed citations
4.
Dai, Enyan, Tianxiang Zhao, Junjie Xu, et al.. (2024). A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability. 21(6). 1011–1061. 21 indexed citations
5.
Dai, Enyan, et al.. (2024). Effective Clean-Label Backdoor Attacks on Graph Neural Networks. 3752–3756.
6.
Dai, Enyan & Suhang Wang. (2024). Towards Prototype-Based Self-Explainable Graph Neural Network. ACM Transactions on Knowledge Discovery from Data. 19(2). 1–20. 1 indexed citations
7.
Dai, Enyan, et al.. (2023). Learning fair models without sensitive attributes: A generative approach. Neurocomputing. 561. 126841–126841. 7 indexed citations
8.
Dai, Enyan, Limeng Cui, Zhengyang Wang, et al.. (2023). A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. 368–379. 5 indexed citations
9.
10.
Xu, Junjie, Enyan Dai, X. D. Zhang, & Suhang Wang. (2022). HP-GMN: Graph Memory Networks for Heterophilous Graphs. 1263–1268. 8 indexed citations
11.
Dai, Enyan & Suhang Wang. (2022). Learning Fair Graph Neural Networks with Limited and Private Sensitive Attribute Information. IEEE Transactions on Knowledge and Data Engineering. 1–14. 19 indexed citations
12.
Zhao, Tianxiang, Enyan Dai, Kai Shu, & Suhang Wang. (2022). Towards Fair Classifiers Without Sensitive Attributes. arXiv (Cornell University). 1433–1442. 23 indexed citations
13.
Dai, Enyan & Suhang Wang. (2021). Towards Self-Explainable Graph Neural Network. 302–311. 41 indexed citations
14.
Dai, Enyan, Charų C. Aggarwal, & Suhang Wang. (2021). NRGNN. 227–236. 54 indexed citations
15.
Dai, Enyan, Kai Shu, Yiwei Sun, & Suhang Wang. (2021). Labeled Data Generation with Inexact Supervision. 218–226.
16.
Hu, Yuqing, et al.. (2021). Times series forecasting for urban building energy consumption based on graph convolutional network. Applied Energy. 307. 118231–118231. 91 indexed citations
17.
Chen, Shuaijun, Zhen Han, Enyan Dai, et al.. (2020). Unsupervised Image Super-Resolution with an Indirect Supervised Path. 1924–1933. 36 indexed citations
18.
Chen, Chacha, et al.. (2020). TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling. 499–504. 1 indexed citations
19.
Dai, Enyan, Yiwei Sun, & Suhang Wang. (2020). Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository. Proceedings of the International AAAI Conference on Web and Social Media. 14. 853–862. 69 indexed citations
20.
Ding, Houzhu, Enyan Dai, Filippos Tourlomousis, & Robert C. Chang. (2017). A Methodology for Quantifying Cell Density and Distribution in Multidimensional Bioprinted Gelatin-Alginate Constructs. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

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