Wen Gao
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- Advanced Image and Video Retrieval Techniques 7
- Image Retrieval and Classification Techniques 4
- Media Technology top 5%
- Remote-Sensing Image Classification 3
- Signal Processing top 10%
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- Natural Language Processing Techniques 3
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- Hand Gesture Recognition Systems 4
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- IoT and Edge/Fog Computing 3
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- Hearing Impairment and Communication 3
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- Modular Robots and Swarm Intelligence 2
Wen Gao
25 papers receiving 458 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 398
- Media Technology 118
- Signal Processing 48
- Artificial Intelligence 71
- Human-Computer Interaction 12
Countries citing papers authored by Wen Gao
This map shows the geographic impact of Wen Gao'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 Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Gao more than expected).
Fields of papers citing papers by Wen Gao
This network shows the impact of papers produced by Wen Gao. 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 Gao. The network helps show where Wen Gao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wen Gao, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2015 | 4 | |
| 4 | 2013 | 107 | |
| 5 | 2012 | 83 | |
| 6 | PKU-IDM @TRECVID2011 CBCD: Content-Based Copy Detection with Cascade of Multimodal Features and Temporal Pyramid Matching. | 2011 | 3 |
| 7 | 2011 | 97 | |
| 8 | 2009 | 2 | |
| 9 | PKU at ImageCLEF 2008: Experiments with Query Extension Techniques for Text-Based and Content-Based Image Retrieval. | 2008 | 1 |
| 10 | 2008 | 6 | |
| 11 | 2005 | 32 | |
| 12 | 2003 | 8 | |
| 13 | 2003 | 8 | |
| 14 | 2003 | 48 | |
| 15 | Mouth-Shape Classification and Recognition for Lipreading. | 2002 | 0 |
| 16 | 2002 | 9 | |
| 17 | A SOFM/HMM System for Person-Independent Isolated Sign Language Recognition. | 2001 | 4 |
| 18 | 2000 | 3 | |
| 19 | 1999 | 13 | |
| 20 | 1997 | 1 |
About Wen Gao
Wen Gao is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology, having authored 28 papers that have together received 480 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (4 papers), Hand Gesture Recognition Systems (4 papers), Remote-Sensing Image Classification (3 papers), IoT and Edge/Fog Computing (3 papers), Natural Language Processing Techniques (3 papers), Hearing Impairment and Communication (3 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (398 citations), Media Technology (118 citations) and Signal Processing (48 citations). Wen Gao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yonghong Tian, Tiejun Huang, Haocheng Wen, Qixiang Ye, Shiguang Shan, Xilin Chen, Qionghai Dai, Xianming Liu, Siwei Ma and Ruiqin Xiong. Their work appears in journals such as IEEE Transactions on Image Processing, Computer and Pattern Recognition Letters.
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.