Guanming Lu
Impact in
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- Emotion and Mood Recognition
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- Face and Expression Recognition
- Advanced Image Processing Techniques
- Face recognition and analysis
- Human Pose and Action Recognition
Papers in
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- Face and Expression Recognition 12
- Advanced Image Processing Techniques 9
- Generative Adversarial Networks and Image Synthesis 7
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- Emotion and Mood Recognition 15
- Co-authors
- Jingjie Yan (21 shared papers)Xi Chen (1 shared paper)Haibo Li (2 shared papers)Wenming Zheng (2 shared papers)Bei Wang (1 shared paper)Xiaonan Li (7 shared papers)Yuan Zong (2 shared papers)Meng Cui (1 shared paper)
- Journals
- IEEE Access (3 papers)Multimedia Tools and Applications (3 papers)Neurocomputing (2 papers)Electronics (2 papers)IEEE Transactions on Affective Computing (2 papers)
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Guanming Lu
58 papers receiving 451 citations
Peers
Comparison fields: 5 of 78
- Experimental and Cognitive Psychology 207
- Computer Vision and Pattern Recognition 204
- Human-Computer Interaction 36
- Pharmacy 22
- Signal Processing 53
Countries citing papers authored by Guanming Lu
This map shows the geographic impact of Guanming Lu'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 Guanming Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanming Lu more than expected).
Fields of papers citing papers by Guanming Lu
This network shows the impact of papers produced by Guanming Lu. 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 Guanming Lu. The network helps show where Guanming Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guanming Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 79 | |
| 2 | 2020 | 55 | |
| 3 | 2020 | 24 | |
| 4 | 2022 | 20 | |
| 5 | 2022 | 19 | |
| 6 | 2008 | 18 | |
| 7 | 2021 | 18 | |
| 8 | 2020 | 17 | |
| 9 | 2008 | 14 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 10 | |
| 12 | 2019 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2018 | 9 | |
| 16 | 2018 | 9 | |
| 17 | 2008 | 9 | |
| 18 | 2008 | 8 | |
| 19 | 2016 | 8 | |
| 20 | 2023 | 7 |
About Guanming Lu
Guanming Lu is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Artificial Intelligence, Urban Studies and Information Systems, having authored 66 papers that have together received 467 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (15 papers), Face and Expression Recognition (12 papers), Advanced Image Processing Techniques (9 papers), Advanced Computing and Algorithms (9 papers), Infant Health and Development (8 papers), Generative Adversarial Networks and Image Synthesis (7 papers), Pediatric Pain Management Techniques (7 papers) and Neonatal and fetal brain pathology (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (207 citations), Computer Vision and Pattern Recognition (204 citations), Human-Computer Interaction (36 citations), Pharmacy (22 citations) and Signal Processing (53 citations). Guanming Lu has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Jingjie Yan, Xi Chen, Haibo Li, Wenming Zheng, Bei Wang, Xiaonan Li, Yuan Zong, Meng Cui, Haibo Li and Ning Sun. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, Neurocomputing, Electronics and IEEE Transactions on Affective Computing.
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.