Jianping Gou
Impact in
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- Face and Expression Recognition
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 0.5%
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Machine Learning and ELM
Papers in
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- Face and Expression Recognition 63
- Advanced Image and Video Retrieval Techniques 23
- Image Retrieval and Classification Techniques 14
- Multimodal Machine Learning Applications 12
- Face recognition and analysis 10
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- Remote-Sensing Image Classification 20
- Co-authors
- Baosheng YuDacheng TaoStephen J. MaybankLan DuYongzhao ZhanXiang‐Jun ShenShaoning ZengWeihua Ou
In The Last Decade
Jianping Gou
116 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Computer Vision and Pattern Recognition 1.9k
- Artificial Intelligence 2.0k
- Media Technology 389
- Signal Processing 365
- Health Informatics 19
Countries citing papers authored by Jianping Gou
This map shows the geographic impact of Jianping Gou'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 Jianping Gou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianping Gou more than expected).
Fields of papers citing papers by Jianping Gou
This network shows the impact of papers produced by Jianping Gou. 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 Jianping Gou. The network helps show where Jianping Gou may publish in the future.
Co-authors
The 25 scholars most cited alongside Jianping Gou, 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 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 15 | |
| 13 | 2023 | 6 | |
| 14 | 2021 | 0 | |
| 15 | 2020 | 2 | |
| 16 | 2019 | 3 | |
| 17 | 2018 | 5 | |
| 18 | 2018 | 20 | |
| 19 | Maximum Neighborhood Margin Discriminant Projection for Classification Hit paper breakdown → | 2014 | 615 |
| 20 | 2013 | 1 |
About Jianping Gou
Jianping Gou is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Urban Studies and Statistics and Probability, having authored 123 papers that have together received 4.6k indexed citations. Recurring topics across this work include Face and Expression Recognition (63 papers), Domain Adaptation and Few-Shot Learning (25 papers), Advanced Image and Video Retrieval Techniques (23 papers), Remote-Sensing Image Classification (20 papers), Image Retrieval and Classification Techniques (14 papers), Sparse and Compressive Sensing Techniques (13 papers), Multimodal Machine Learning Applications (12 papers) and Face recognition and analysis (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Artificial Intelligence (2.0k citations), Media Technology (389 citations), Signal Processing (365 citations) and Health Informatics (19 citations). Jianping Gou has collaborated with scholars based in China, Australia and Macao. Frequent co-authors include Baosheng Yu, Dacheng Tao, Stephen J. Maybank, Lan Du, Yongzhao Zhan, Xiang‐Jun Shen, Shaoning Zeng, Weihua Ou, Jinfu Chen and Min Wan. Their work appears in journals such as Computers & Electrical Engineering, Expert Systems with Applications, Multimedia Tools and Applications, Neural Networks and IEEE Access.
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.