Eric Zhao

2.0k total citations · 1 hit paper
7 papers, 1.1k citations indexed

About

Eric Zhao is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Eric Zhao has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Eric Zhao's work include Information Retrieval and Search Behavior (2 papers), Topic Modeling (2 papers) and Logic, programming, and type systems (2 papers). Eric Zhao is often cited by papers focused on Information Retrieval and Search Behavior (2 papers), Topic Modeling (2 papers) and Logic, programming, and type systems (2 papers). Eric Zhao collaborates with scholars based in United States, China and Singapore. Eric Zhao's co-authors include Yao Ma, Jiliang Tang, Dawei Yin, Qing Li, Wenqi Fan, Yuan He, Chaoyi Ma, Ziyi Guo, Wen-Yun Yang and Yun Xiao and has published in prestigious journals such as Journal of Biomedical Informatics, Proceedings of the ACM on Programming Languages and PolyU Institutional Research Archive (Hong Kong Polytechnic University).

In The Last Decade

Eric Zhao

5 papers receiving 1.1k citations

Hit Papers

Graph Neural Networks for Social Recommendation 2019 2026 2021 2023 2019 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Zhao United States 4 890 665 232 171 164 7 1.1k
Shiwen Wu China 5 680 0.8× 628 0.9× 208 0.9× 86 0.5× 57 0.3× 6 951
Qinyong Wang China 15 1.1k 1.3× 1.2k 1.8× 330 1.4× 184 1.1× 114 0.7× 26 1.6k
Linmei Hu China 16 961 1.1× 520 0.8× 181 0.8× 72 0.4× 109 0.7× 46 1.3k
Mohamed Aly United States 13 659 0.7× 345 0.5× 269 1.2× 185 1.1× 90 0.5× 28 1.1k
Yingxia Shao China 22 1.1k 1.2× 418 0.6× 574 2.5× 287 1.7× 179 1.1× 84 1.5k
Xiaorui Liu United States 13 918 1.0× 216 0.3× 184 0.8× 69 0.4× 133 0.8× 30 1.1k
Yixin Liu United States 14 1.0k 1.2× 226 0.3× 189 0.8× 206 1.2× 197 1.2× 48 1.3k
Kaize Ding United States 17 924 1.0× 335 0.5× 134 0.6× 201 1.2× 173 1.1× 56 1.1k

Countries citing papers authored by Eric Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Eric Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Zhao. A scholar is included among the top collaborators of Eric Zhao 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 Eric Zhao. Eric Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Zhao, Eric, et al.. (2025). Multimodal large language models for medical image diagnosis: Challenges and opportunities. Journal of Biomedical Informatics. 169. 104895–104895.
2.
Zhao, Eric, et al.. (2025). Grove: A Bidirectionally Typed Collaborative Structure Editor Calculus. Proceedings of the ACM on Programming Languages. 9(POPL). 2176–2204.
3.
Zhao, Eric, et al.. (2024). Total Type Error Localization and Recovery with Holes. Proceedings of the ACM on Programming Languages. 8(POPL). 2041–2068. 4 indexed citations
4.
Fan, Wenqi, Yao Ma, Qing Li, et al.. (2019). Graph Neural Networks for Social Recommendation. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 417–426. 1134 indexed citations breakdown →
5.
Jiang, Yunjiang, Yue Shang, Rui Li, et al.. (2019). A unified neural network approach to e-commerce relevance learning. 1–7. 4 indexed citations
6.
Li, Rui, Wen-Yun Yang, Chaoyi Ma, et al.. (2019). From Semantic Retrieval to Pairwise Ranking. 1383–1384. 3 indexed citations
7.
Ma, Yao, Ziyi Guo, Zhaochun Ren, et al.. (2018). Dynamic Graph Neural Networks. arXiv (Cornell University). 4 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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