Wenhui Wang
- Human-Computer Interaction top 5%
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- Multimodal Machine Learning Applications 4
- Medical Image Segmentation Techniques 3
- Artificial Intelligence top 2%
- Topic Modeling 10
- Natural Language Processing Techniques 8
- AI in cancer detection 4
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- Genetics, Aging, and Longevity in Model Organisms 4
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- Spaceflight effects on biology 3
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- Ferroptosis and cancer prognosis 3
- Journals
- Advanced Materials (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Journal of Investigative Dermatology (1 paper)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Wenhui Wang
50 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Human-Computer Interaction 116
- Computer Vision and Pattern Recognition 376
- Artificial Intelligence 505
- Aging 14
- Biochemistry 24
Countries citing papers authored by Wenhui Wang
This map shows the geographic impact of Wenhui 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 Wenhui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenhui Wang more than expected).
Fields of papers citing papers by Wenhui Wang
This network shows the impact of papers produced by Wenhui 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 Wenhui Wang. The network helps show where Wenhui Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wenhui 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 143 | |
| 9 | 2020 | 8 | |
| 10 | 2020 | 14 | |
| 11 | MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers | 2020 | 3 |
| 12 | 2019 | 22 | |
| 13 | 2018 | 8 | |
| 14 | 2016 | 89 | |
| 15 | 2016 | 8 | |
| 16 | 2015 | 18 | |
| 17 | 2014 | 13 | |
| 18 | Fingerprint Classification Algorithm Based on Multi-level Index | 2010 | 1 |
| 19 | 2009 | 5 | |
| 20 | 2006 | 4 |
About Wenhui Wang
Wenhui Wang is a scholar working on Aging, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Multimodal Machine Learning Applications (4 papers), AI in cancer detection (4 papers), Medical Image Segmentation Techniques (3 papers), Spaceflight effects on biology (3 papers) and Ferroptosis and cancer prognosis (3 papers). The work is most often cited by research in Human-Computer Interaction (116 citations), Computer Vision and Pattern Recognition (376 citations) and Artificial Intelligence (505 citations). Wenhui Wang has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Furu Wei, Baobao Chang, Saksham Singhal, Ming Zhou, Kongqiao Wang, Jihai Yang, Xiang Chen, Xu Zhang, Vuokko Lantz and Hangbo Bao. Their work appears in journals such as Advanced Materials, Journal of Pharmacology and Experimental Therapeutics and Journal of Investigative Dermatology.
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.