Wang Zhou

613 citations
37 papers · 394 · h-index 12

Impact in

Papers in

Wang Zhou

31 papers receiving 380 citations

Peers

Wang Zhou
Comparison fields: 5 of 69
  • Health Information Management 52
  • Statistics and Probability 64
  • Discrete Mathematics and Combinatorics 22
  • Artificial Intelligence 227
  • Health Informatics 8
Replace Delaram Kahrobaei with:
Delaram Kahrobaei United States
Jan C. Bioch Netherlands
D. A. Wolfram Australia
Qianli Zhou China
Jan Pachl Canada
Yann Busnel France
Lars Asker Sweden
Prasenjit Mandal India
Yin Zhang China
Yu Yan China
Wang Zhou relative to Delaram Kahrobaei United States Delaram Kahrobaei's profile →
Citations per field
00.5×20×40×64×
Delaram Kahrobaei · 1×
Citations per year

Countries citing papers authored by Wang Zhou

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Wang Zhou Line = papers co-authored together Wang Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201979
2 202154
3 202129
4 202225
5 201824
6 201823
7 200923
8 201521
9 201814
10 202313
11 200413
12 201912
13 20209
14 20208
15 20246
16 20206
17 20155
18 20214
19 20214
20 20193

About Wang Zhou

Wang Zhou is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Management Science and Operations Research, having authored 37 papers that have together received 394 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), Image Retrieval and Classification Techniques (5 papers), Advanced Bandit Algorithms Research (5 papers), Brain Tumor Detection and Classification (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Health Information Management (52 citations), Statistics and Probability (64 citations), Discrete Mathematics and Combinatorics (22 citations), Artificial Intelligence (227 citations) and Health Informatics (8 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, Sultan Ahmad, Zhidong Bai, Xiaoying Wang and Jalaluddin Khan. Their work appears in journals such as Expert Systems with Applications, Arabian Journal for Science and Engineering, Information Fusion, IEEE Access and The Annals of Statistics.

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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