Guangming Lu
Impact in
- Signal Processing top 0.2%
- Biometric Identification and Security
-
- Face recognition and analysis
- Face and Expression Recognition
- Advanced Neural Network Applications
Papers in
-
- Video Surveillance and Tracking Methods 24
- Face recognition and analysis 22
- Advanced Image and Video Retrieval Techniques 21
- Face and Expression Recognition 19
- Advanced Neural Network Applications 17
- Advanced Image Processing Techniques 17
-
- Biometric Identification and Security 38
In The Last Decade
Guangming Lu
189 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Signal Processing 1.8k
- Computer Vision and Pattern Recognition 3.1k
- Media Technology 660
- Computational Mathematics 36
- Artificial Intelligence 1.1k
Countries citing papers authored by Guangming Lu
This map shows the geographic impact of Guangming 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 Guangming Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangming Lu more than expected).
Fields of papers citing papers by Guangming Lu
This network shows the impact of papers produced by Guangming 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 Guangming Lu. The network helps show where Guangming Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guangming 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 0 | |
| 12 | 2023 | 23 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 5 | |
| 15 | 2022 | 20 | |
| 16 | 2021 | 24 | |
| 17 | Separate Loss for Basic and Compound Facial Expression Recognition in the Wild | 2019 | 23 |
| 18 | 2018 | 9 | |
| 19 | Fingerprint Pores Matching based on Improved Deterministic Annealing Algorithm. | 2016 | 1 |
| 20 | 1998 | 22 |
About Guangming Lu
Guangming Lu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Computational Mathematics and Artificial Intelligence, having authored 198 papers that have together received 5.4k indexed citations. Recurring topics across this work include Biometric Identification and Security (38 papers), Video Surveillance and Tracking Methods (24 papers), Face recognition and analysis (22 papers), Advanced Image and Video Retrieval Techniques (21 papers), Face and Expression Recognition (19 papers), Advanced Neural Network Applications (17 papers), Emotion and Mood Recognition (17 papers) and Advanced Image Processing Techniques (17 papers). The work is most often cited by research in Signal Processing (1.8k citations), Computer Vision and Pattern Recognition (3.1k citations), Media Technology (660 citations), Computational Mathematics (36 citations) and Artificial Intelligence (1.1k citations). Guangming Lu has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include David Zhang, Zheng Zhang, Bingzhi Chen, Jinxing Li, Lei Zhang, Kuanquan Wang, Zhenhua Guo, Jiayu Xu, Wangmeng Zuo and Yao Lu. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Transactions on Image Processing and Knowledge-Based Systems.
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.