Guihua Wen
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- Face and Expression Recognition 50
- Image Retrieval and Classification Techniques 23
- Advanced Image and Video Retrieval Techniques 14
- Face recognition and analysis 8
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- Traditional Chinese Medicine Studies 19
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- Emotion and Mood Recognition 22
- Signal Processing top 5%
- Artificial Intelligence top 5%
- Neural Networks and Applications 16
- Machine Learning and Data Classification 7
- Cited by
- Computer Vision and Pattern RecognitionComplementary and alternative medicineExperimental and Cognitive Psychology
- Journals
- SHILAP Revista de lepidopterología (1 paper)Expert Systems with Applications (4 papers)Pattern Recognition (3 papers)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Guihua Wen
103 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 110
- Computer Vision and Pattern Recognition 607
- Complementary and alternative medicine 244
- Experimental and Cognitive Psychology 385
- Signal Processing 203
- Artificial Intelligence 443
Countries citing papers authored by Guihua Wen
This map shows the geographic impact of Guihua Wen'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 Guihua Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guihua Wen more than expected).
Fields of papers citing papers by Guihua Wen
This network shows the impact of papers produced by Guihua Wen. 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 Guihua Wen. The network helps show where Guihua Wen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guihua Wen, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 39 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 1 | |
| 15 | 2021 | 5 | |
| 16 | Speech-T: Transducer for Text to Speech and Beyond | 2021 | 4 |
| 17 | 2021 | 4 | |
| 18 | 2020 | 29 | |
| 19 | 2020 | 20 | |
| 20 | Using graph algebra to optimize neighborhood for isometric mapping | 2007 | 16 |
About Guihua Wen
Guihua Wen is a scholar working on Computer Vision and Pattern Recognition, Complementary and alternative medicine and Experimental and Cognitive Psychology, having authored 109 papers that have together received 1.4k indexed citations. Recurring topics across this work include Face and Expression Recognition (50 papers), Image Retrieval and Classification Techniques (23 papers), Emotion and Mood Recognition (22 papers), Traditional Chinese Medicine Studies (19 papers), Neural Networks and Applications (16 papers), Advanced Image and Video Retrieval Techniques (14 papers), Face recognition and analysis (8 papers) and Machine Learning and Data Classification (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (607 citations), Complementary and alternative medicine (244 citations) and Experimental and Cognitive Psychology (385 citations). Guihua Wen has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Huihui Li, Lijun Jiang, Yaxin Sun, Danyang Li, Yang Hu, Jiabing Wang, Changjun Wang, Zhiwen Yu, Pei Yang and Dan Dai. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Pattern Recognition.
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.