Wang Zhou
Impact in
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- Artificial Intelligence in Healthcare
- Statistics and Probability top 5%
- Random Matrices and Applications
Papers in
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- AI in cancer detection 9
- Advanced Graph Neural Networks 7
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- Recommender Systems and Techniques 16
- Co-authors
- Jianping Li (13 shared papers)Amin Ul Haq (15 shared papers)Muhammad Hammad Memon (3 shared papers)Muhammad Hunain Memon (1 shared paper)Guangming Pan (2 shared papers)Zhigang Bao (2 shared papers)Yimei Yang (1 shared paper)Sultan Ahmad (4 shared papers)
- Journals
- Expert Systems with Applications (3 papers)Arabian Journal for Science and Engineering (2 papers)IEEE Access (2 papers)The Annals of Statistics (2 papers)Information Fusion (2 papers)
- Partner nations
- ChinaPakistanSaudi Arabia
In The Last Decade
Wang Zhou
25 papers receiving 331 citations
Peers
Comparison fields: 5 of 66
- Health Information Management 43
- Statistics and Probability 59
- Artificial Intelligence 203
- Discrete Mathematics and Combinatorics 20
- Health Informatics 7
Countries citing papers authored by Wang Zhou
This map shows the geographic impact of Wang Zhou'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 Wang Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Zhou more than expected).
Fields of papers citing papers by Wang Zhou
This network shows the impact of papers produced by Wang Zhou. 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 Wang Zhou. The network helps show where Wang Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 69 | |
| 2 | 2021 | 48 | |
| 3 | 2021 | 29 | |
| 4 | 2022 | 24 | |
| 5 | 2018 | 23 | |
| 6 | 2009 | 21 | |
| 7 | 2018 | 19 | |
| 8 | 2015 | 19 | |
| 9 | 2018 | 14 | |
| 10 | 2023 | 12 | |
| 11 | 2019 | 12 | |
| 12 | 2020 | 9 | |
| 13 | 2020 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2015 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2019 | 3 | |
| 20 | 2021 | 3 |
About Wang Zhou
Wang Zhou is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 347 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (16 papers), AI in cancer detection (9 papers), Advanced Graph Neural Networks (7 papers), Advanced Bandit Algorithms Research (5 papers), Image Retrieval and Classification Techniques (5 papers), Brain Tumor Detection and Classification (4 papers), Caching and Content Delivery (3 papers) and Advanced Combinatorial Mathematics (3 papers). The work is most often cited by research in Health Information Management (43 citations), Statistics and Probability (59 citations), Artificial Intelligence (203 citations), Discrete Mathematics and Combinatorics (20 citations) and Health Informatics (7 citations). Wang Zhou has collaborated with scholars based in China, Pakistan and Saudi Arabia. Frequent co-authors include Jianping Li, Amin Ul Haq, Muhammad Hammad Memon, Muhammad Hunain Memon, Guangming Pan, Zhigang Bao, Yimei Yang, Sultan Ahmad, Zhidong Bai and Xiaoying Wang. Their work appears in journals such as Expert Systems with Applications, Arabian Journal for Science and Engineering, IEEE Access, The Annals of Statistics and Information Fusion.
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.