Xiangyu Zhao
- Information Systems top 0.5%
- Recommender Systems and Techniques 89
- Artificial Intelligence top 1%
- Topic Modeling 35
- Advanced Graph Neural Networks 27
- Machine Learning in Healthcare 15
- Machine Learning and Data Classification 8
- Privacy-Preserving Technologies in Data 8
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- Advanced Bandit Algorithms Research 28
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- Image Retrieval and Classification Techniques 13
- Co-authors
- Jiliang TangZhendong NiuWenqi FanWei ChenQing LiXian WuDawei YinYi Li
- Journals
- The Journal of Experimental Medicine (1 paper)SHILAP Revista de lepidopterología (3 papers)Blood (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiangyu Zhao
164 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Information Systems 1.2k
- Artificial Intelligence 1.1k
- Management Science and Operations Research 364
- Computer Vision and Pattern Recognition 463
- Computer Science Applications 112
Countries citing papers authored by Xiangyu Zhao
This map shows the geographic impact of Xiangyu 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 Xiangyu Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangyu Zhao more than expected).
Fields of papers citing papers by Xiangyu Zhao
This network shows the impact of papers produced by Xiangyu 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 Xiangyu Zhao. The network helps show where Xiangyu Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiangyu 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 | 2025 | 6 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 11 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 47 | |
| 15 | 2023 | 15 | |
| 16 | 2023 | 9 | |
| 17 | 2023 | 29 | |
| 18 | 2023 | 9 | |
| 19 | 2023 | 15 | |
| 20 | 2023 | 15 |
About Xiangyu Zhao
Xiangyu Zhao is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research, having authored 196 papers that have together received 2.6k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (89 papers), Topic Modeling (35 papers), Advanced Bandit Algorithms Research (28 papers), Advanced Graph Neural Networks (27 papers), Machine Learning in Healthcare (15 papers), Image Retrieval and Classification Techniques (13 papers), Machine Learning and Data Classification (8 papers) and Privacy-Preserving Technologies in Data (8 papers). The work is most often cited by research in Information Systems (1.2k citations), Artificial Intelligence (1.1k citations) and Management Science and Operations Research (364 citations). Xiangyu Zhao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jiliang Tang, Zhendong Niu, Wenqi Fan, Wei Chen, Qing Li, Xian Wu, Dawei Yin, Yi Li, Wanyu Wang and Yejing Wang. Their work appears in journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and Blood.
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.