Eric Zhao
Impact in
- Information Systems top 1%
- Recommender Systems and Techniques
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks
- Topic Modeling
- Privacy-Preserving Technologies in Data
Papers in
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- Logic, programming, and type systems 2
- Topic Modeling 2
- Text and Document Classification Technologies 1
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- Information Retrieval and Search Behavior 2
- Software Engineering Research 1
- Recommender Systems and Techniques 1
- Co-authors
- Dawei Yin (1 shared paper)Qing Li (1 shared paper)Yuan He (1 shared paper)Yao Ma (1 shared paper)Jiliang Tang (1 shared paper)Wenqi Fan (1 shared paper)Yue Shang (1 shared paper)Cyrus Omar (2 shared papers)
- Journals
- Proceedings of the ACM on Programming Languages (2 papers)Journal of Biomedical Informatics (1 paper)PolyU Institutional Research Archive (Hong Kong Polytechnic University) (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Eric Zhao
5 papers receiving 1.4k citations
Eric Zhao's Hit Papers
Peers
Comparison fields: 5 of 92
- Information Systems 790
- Artificial Intelligence 1.1k
- Statistical and Nonlinear Physics 184
- Computer Vision and Pattern Recognition 268
- Transportation 56
Countries citing papers authored by Eric Zhao
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
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-authors
The 18 scholars most cited alongside Eric Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Graph Neural Networks for Social Recommendation Hit paper breakdown → | 2019 | 1369 |
| 2 | 2019 | 6 | |
| 3 | 2024 | 6 | |
| 4 | 2019 | 3 | |
| 5 | 2025 | 2 | |
| 6 | 2025 | 0 |
About Eric Zhao
Eric Zhao is a scholar working on Artificial Intelligence, Information Systems, Health Informatics, Software and Information Systems and Management, having authored 6 papers that have together received 1.4k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (2 papers), Logic, programming, and type systems (2 papers), Topic Modeling (2 papers), Software Engineering Research (1 paper), Image Retrieval and Classification Techniques (1 paper), Text and Document Classification Technologies (1 paper), Distributed systems and fault tolerance (1 paper) and Recommender Systems and Techniques (1 paper). The work is most often cited by research in Information Systems (790 citations), Artificial Intelligence (1.1k citations), Statistical and Nonlinear Physics (184 citations), Computer Vision and Pattern Recognition (268 citations) and Transportation (56 citations). Eric Zhao has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Dawei Yin, Qing Li, Yuan He, Yao Ma, Jiliang Tang, Wenqi Fan, Yue Shang, Cyrus Omar, Rui Li and Wen-Yun Yang. Their work appears in journals such as Proceedings of the ACM on Programming Languages, Journal of Biomedical Informatics and PolyU Institutional Research Archive (Hong Kong Polytechnic University).
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.