Minhui Wang
Impact in
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- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
Papers in
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- Bioinformatics and Genomic Networks 4
- Machine Learning in Bioinformatics 4
- Gene expression and cancer classification 3
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- Computational Drug Discovery Methods 7
- Co-authors
- Chang Tang (14 shared papers)Jiajia Chen (6 shared papers)Xiao Zheng (7 shared papers)Pichao Wang (2 shared papers)Xinwang Liu (2 shared papers)Peng Lü (1 shared paper)Miaomiao Li (1 shared paper)Lijuan Cao (1 shared paper)
- Journals
- Knowledge-Based Systems (3 papers)Engineering Applications of Artificial Intelligence (2 papers)Information Fusion (2 papers)Gene (1 paper)BioMed Research International (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Minhui Wang
19 papers receiving 357 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 144
- Computational Mathematics 4
- Media Technology 41
- Computational Theory and Mathematics 58
- Urban Studies 19
Countries citing papers authored by Minhui Wang
This map shows the geographic impact of Minhui Wang'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 Minhui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minhui Wang more than expected).
Fields of papers citing papers by Minhui Wang
This network shows the impact of papers produced by Minhui Wang. 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 Minhui Wang. The network helps show where Minhui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Minhui Wang, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 81 | |
| 2 | 2018 | 29 | |
| 3 | 2017 | 26 | |
| 4 | 2021 | 26 | |
| 5 | 2018 | 22 | |
| 6 | 2019 | 21 | |
| 7 | 2024 | 21 | |
| 8 | 2023 | 20 | |
| 9 | 2023 | 20 | |
| 10 | 2023 | 18 | |
| 11 | 2024 | 18 | |
| 12 | 2024 | 16 | |
| 13 | 2022 | 12 | |
| 14 | 2024 | 8 | |
| 15 | 2024 | 8 | |
| 16 | 2024 | 6 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 0 |
About Minhui Wang
Minhui Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Materials Chemistry and Biomedical Engineering, having authored 21 papers that have together received 358 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Face and Expression Recognition (4 papers), Bioinformatics and Genomic Networks (4 papers), Machine Learning in Bioinformatics (4 papers), Machine Learning in Materials Science (4 papers), Gene expression and cancer classification (3 papers), Video Surveillance and Tracking Methods (3 papers) and Remote-Sensing Image Classification (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (144 citations), Computational Mathematics (4 citations), Media Technology (41 citations), Computational Theory and Mathematics (58 citations) and Urban Studies (19 citations). Minhui Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Chang Tang, Jiajia Chen, Xiao Zheng, Pichao Wang, Xinwang Liu, Peng Lü, Miaomiao Li, Lijuan Cao, En Zhu and Kai Huang. Their work appears in journals such as Knowledge-Based Systems, Engineering Applications of Artificial Intelligence, Information Fusion, Gene and BioMed Research International.
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.