Ge Li
Impact in
-
- Visual Attention and Saliency Detection
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
-
- Computer Graphics and Visualization Techniques
Papers in
-
- Advanced Vision and Imaging 9
- Image Enhancement Techniques 4
- Optical measurement and interference techniques 3
-
- 3D Shape Modeling and Analysis 13
- Co-authors
- Chunbiao Zhu (1 shared paper)Wei Gao (13 shared papers)Shan Liu (8 shared papers)Thomas H. Li (4 shared papers)Xiaoqing Fan (1 shared paper)Yurui Ren (1 shared paper)Ruonan Zhang (3 shared papers)Xingyu Chen (2 shared papers)
- Journals
- ACM Transactions on Multimedia Computing Communications and Applications (2 papers)International Journal of Remote Sensing (1 paper)International Journal of Computer Vision (1 paper)Sensors (1 paper)Applied Sciences (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ge Li
36 papers receiving 419 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 302
- Computer Graphics and Computer-Aided Design 48
- Geology 58
- Media Technology 64
- Human-Computer Interaction 33
Countries citing papers authored by Ge Li
This map shows the geographic impact of Ge Li'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 Ge Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Li more than expected).
Fields of papers citing papers by Ge Li
This network shows the impact of papers produced by Ge Li. 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 Ge Li. The network helps show where Ge Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ge Li, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 124 | |
| 2 | 2022 | 49 | |
| 3 | 2023 | 22 | |
| 4 | 2019 | 18 | |
| 5 | 2017 | 18 | |
| 6 | 2024 | 17 | |
| 7 | 2023 | 17 | |
| 8 | 2023 | 16 | |
| 9 | 2024 | 14 | |
| 10 | 2022 | 14 | |
| 11 | 2024 | 13 | |
| 12 | 2024 | 13 | |
| 13 | 2024 | 12 | |
| 14 | 2024 | 9 | |
| 15 | 2013 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2023 | 7 | |
| 20 | 2008 | 5 |
About Ge Li
Ge Li is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Environmental Engineering and Geology, having authored 37 papers that have together received 426 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (13 papers), Advanced Vision and Imaging (9 papers), Computer Graphics and Visualization Techniques (8 papers), 3D Surveying and Cultural Heritage (7 papers), Remote Sensing and LiDAR Applications (7 papers), Image Enhancement Techniques (4 papers), Optical measurement and interference techniques (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (302 citations), Computer Graphics and Computer-Aided Design (48 citations), Geology (58 citations), Media Technology (64 citations) and Human-Computer Interaction (33 citations). Ge Li has collaborated with scholars based in China and United States. Frequent co-authors include Chunbiao Zhu, Wei Gao, Shan Liu, Thomas H. Li, Xiaoqing Fan, Yurui Ren, Ruonan Zhang, Xingyu Chen, Xiaoming Yu and Yang Guo. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications, International Journal of Remote Sensing, International Journal of Computer Vision, Sensors and Applied Sciences.
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.