Jingrui He

4.2k total citations
158 papers, 2.5k citations indexed

About

Jingrui He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Jingrui He has authored 158 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Artificial Intelligence, 46 papers in Computer Vision and Pattern Recognition and 23 papers in Statistical and Nonlinear Physics. Recurrent topics in Jingrui He's work include Advanced Graph Neural Networks (32 papers), Domain Adaptation and Few-Shot Learning (28 papers) and Complex Network Analysis Techniques (23 papers). Jingrui He is often cited by papers focused on Advanced Graph Neural Networks (32 papers), Domain Adaptation and Few-Shot Learning (28 papers) and Complex Network Analysis Techniques (23 papers). Jingrui He collaborates with scholars based in United States, China and Hong Kong. Jingrui He's co-authors include Hanghang Tong, Dawei Zhou, Changshui Zhang, Mingjing Li, Hao Zhang, Jun Wu, Jaime Carbonell, Yada Zhu, Jiejun Xu and Richard D. Lawrence and has published in prestigious journals such as Remote Sensing of Environment, Communications of the ACM and IEEE Access.

In The Last Decade

Jingrui He

149 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingrui He United States 25 1.5k 862 438 324 201 158 2.5k
Min Yang China 33 2.6k 1.8× 784 0.9× 216 0.5× 557 1.7× 147 0.7× 186 3.7k
Xiaofeng He China 22 1.4k 0.9× 847 1.0× 447 1.0× 469 1.4× 223 1.1× 92 2.6k
Kun He China 26 1.3k 0.9× 490 0.6× 312 0.7× 165 0.5× 237 1.2× 135 2.5k
Sen Wu China 19 1.3k 0.9× 279 0.3× 368 0.8× 535 1.7× 178 0.9× 81 2.0k
Shou-De Lin Taiwan 24 983 0.7× 259 0.3× 394 0.9× 498 1.5× 229 1.1× 137 1.8k
Tinghuai Ma China 28 1.4k 0.9× 534 0.6× 334 0.8× 575 1.8× 672 3.3× 196 2.8k
Weimin Li China 25 749 0.5× 445 0.5× 348 0.8× 427 1.3× 410 2.0× 176 2.1k
Bo Han China 22 2.0k 1.3× 628 0.7× 175 0.4× 327 1.0× 81 0.4× 126 2.8k
Guy Mélançon France 18 544 0.4× 1.1k 1.2× 530 1.2× 278 0.9× 209 1.0× 69 1.9k
Liang Zhao United States 22 988 0.7× 263 0.3× 334 0.8× 271 0.8× 243 1.2× 192 2.0k

Countries citing papers authored by Jingrui He

Since Specialization
Citations

This map shows the geographic impact of Jingrui He'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 Jingrui He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingrui He more than expected).

Fields of papers citing papers by Jingrui He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jingrui He. 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 Jingrui He. The network helps show where Jingrui He may publish in the future.

Co-authorship network of co-authors of Jingrui He

This figure shows the co-authorship network connecting the top 25 collaborators of Jingrui He. A scholar is included among the top collaborators of Jingrui He 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 Jingrui He. Jingrui He 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.
Wu, Jun & Jingrui He. (2025). Trustworthy Transfer Learning: A Survey. Journal of Artificial Intelligence Research. 84. 1 indexed citations
2.
Zhu, Yada, Kinh Tieu, Onkar Bhardwaj, et al.. (2025). ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method. 6367–6371.
3.
Tong, Hanghang, et al.. (2024). Fairgen: Towards Fair Graph Generation. 2285–2297. 1 indexed citations
4.
Wu, Jun, Jingrui He, & Hanghang Tong. (2024). Distributional Network of Networks for Modeling Data Heterogeneity. 3379–3390.
5.
Chen, Zhengzhang, et al.. (2024). MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems. 4107–4116. 8 indexed citations
6.
Wu, Jun, Jingrui He, & Elizabeth A. Ainsworth. (2023). Non-IID Transfer Learning on Graphs. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 10342–10350. 13 indexed citations
7.
Wu, Jun & Jingrui He. (2023). Trustworthy Transfer Learning: Transferability and Trustworthiness. 5829–5830.
8.
Wu, Jun, et al.. (2023). Personalized Federated Learning with Parameter Propagation. 2594–2605. 9 indexed citations
9.
10.
Wu, Jun & Jingrui He. (2022). A Unified Framework for Adversarial Attacks on Multi-Source Domain Adaptation. IEEE Transactions on Knowledge and Data Engineering. 35(11). 11039–11050. 3 indexed citations
11.
Wu, Jun & Jingrui He. (2021). Indirect Invisible Poisoning Attacks on Domain Adaptation. 1852–1862. 10 indexed citations
12.
Yang, Pei, Hongxia Yang, Haoda Fu, et al.. (2016). Jointly Modeling Label and Feature Heterogeneity in Medical Informatics. ACM Transactions on Knowledge Discovery from Data. 10(4). 1–25. 7 indexed citations
13.
Zhou, Yao & Jingrui He. (2016). Crowdsourcing via tensor augmentation and completion. International Joint Conference on Artificial Intelligence. 2435–2441. 24 indexed citations
14.
Zhou, Dawei, et al.. (2015). MUVIR: multi-view rare category detection. International Conference on Artificial Intelligence. 4098–4104. 21 indexed citations
15.
Zhou, Dawei, et al.. (2015). Rare Category Detection on Time-Evolving Graphs. 1135–1140. 26 indexed citations
16.
He, Jingrui, et al.. (2013). Improving traffic prediction with tweet semantics. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 1387–1393. 64 indexed citations
17.
He, Jingrui, Hanghang Tong, Qiaozhu Mei, & Bolesław K. Szymański. (2012). GenDeR: A Generic Diversified Ranking Algorithm. neural information processing systems. 25. 1142–1150. 12 indexed citations
18.
He, Jingrui, et al.. (2011). A Graph-based Framework for Multi-Task Multi-View Learning. International Conference on Machine Learning. 25–32. 89 indexed citations
19.
He, Jingrui & Jaime Carbonell. (2009). Prior-Free Rare Category Detection. Figshare. 155–163. 18 indexed citations
20.
He, Jingrui, et al.. (2008). Graph-Based Rare Category Detection. 833–838. 34 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.

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