Wen Wu
Impact in
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- Emotion and Mood Recognition
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Sentiment Analysis and Opinion Mining 6
- Speech Recognition and Synthesis 4
- Text and Document Classification Technologies 3
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- Emotion and Mood Recognition 6
- Co-authors
- Philip C. Woodland (5 shared papers)Chao Zhang (4 shared papers)Beata Walczak (1 shared paper)Tomasz Czekaj (1 shared paper)Liang He (1 shared paper)Xingjiao Wu (1 shared paper)Jing Yang (1 shared paper)Luwei Xiao (1 shared paper)
- Journals
- Pharmacogenomics (1 paper)The Visual Computer (1 paper)Applied Mathematics and Nonlinear Sciences (1 paper)The Analyst (1 paper)Archives of Osteoporosis (1 paper)
- Partner nations
- ChinaUnited KingdomSouth Sudan
In The Last Decade
Wen Wu
18 papers receiving 202 citations
Peers
Comparison fields: 5 of 65
- Experimental and Cognitive Psychology 61
- Analytical Chemistry 43
- Orthopedics and Sports Medicine 27
- Signal Processing 29
- Artificial Intelligence 74
Countries citing papers authored by Wen Wu
This map shows the geographic impact of Wen Wu'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 Wen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Wu more than expected).
Fields of papers citing papers by Wen Wu
This network shows the impact of papers produced by Wen Wu. 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 Wen Wu. The network helps show where Wen Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wen Wu, 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 | 2005 | 41 | |
| 2 | 2021 | 40 | |
| 3 | 2022 | 22 | |
| 4 | 2014 | 15 | |
| 5 | 2024 | 15 | |
| 6 | 2022 | 11 | |
| 7 | 1996 | 11 | |
| 8 | 2022 | 10 | |
| 9 | 2012 | 9 | |
| 10 | 2019 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2023 | 5 | |
| 13 | 2024 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2014 | 1 | |
| 19 | 2023 | 0 | |
| 20 | 2025 | 0 |
About Wen Wu
Wen Wu is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Oncology and Orthopedics and Sports Medicine, having authored 20 papers that have together received 205 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (6 papers), Emotion and Mood Recognition (6 papers), Speech Recognition and Synthesis (4 papers), Bone health and osteoporosis research (3 papers), Text and Document Classification Technologies (3 papers), Face and Expression Recognition (2 papers), Bone health and treatments (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (61 citations), Analytical Chemistry (43 citations), Orthopedics and Sports Medicine (27 citations), Signal Processing (29 citations) and Artificial Intelligence (74 citations). Wen Wu has collaborated with scholars based in China, United Kingdom and South Sudan. Frequent co-authors include Philip C. Woodland, Chao Zhang, Beata Walczak, Tomasz Czekaj, Liang He, Xingjiao Wu, Jing Yang, Luwei Xiao, Mengyue Wu and Kai Yu. Their work appears in journals such as Pharmacogenomics, The Visual Computer, Applied Mathematics and Nonlinear Sciences, The Analyst and Archives of Osteoporosis.
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.