Zeming Li
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Image Enhancement Techniques
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
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- Advanced Neural Network Applications 7
- Advanced Image and Video Retrieval Techniques 4
- Video Surveillance and Tracking Methods 3
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- Domain Adaptation and Few-Shot Learning 3
- Adversarial Robustness in Machine Learning 1
- Geochemistry and Geologic Mapping 1
- Co-authors
- Gang Yu (4 shared papers)Zheng Qin (1 shared paper)Yuxing Peng (1 shared paper)Jian Sun (1 shared paper)Zhaoning Zhang (1 shared paper)Yiping Bao (1 shared paper)Jian Sun (4 shared papers)Xiangyu Zhang (3 shared papers)
- Journals
- Journal of Jilin University (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)arXiv (Cornell University) (4 papers)
In The Last Decade
Zeming Li
8 papers receiving 446 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 377
- Media Technology 58
- Artificial Intelligence 158
- Industrial and Manufacturing Engineering 35
- Safety, Risk, Reliability and Quality 17
Countries citing papers authored by Zeming Li
This map shows the geographic impact of Zeming 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 Zeming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeming Li more than expected).
Fields of papers citing papers by Zeming Li
This network shows the impact of papers produced by Zeming 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 Zeming Li. The network helps show where Zeming Li may publish in the future.
Co-authors
The 23 scholars most cited alongside Zeming 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 205 | |
| 2 | 2018 | 157 | |
| 3 | 2018 | 39 | |
| 4 | 2018 | 24 | |
| 5 | Mesozoic Granitic Magmatism and Molybdenum Ore-Forming Processes in the Xilamulun Metallogenic Belt | 2011 | 13 |
| 6 | 2019 | 10 | |
| 7 | 2020 | 4 | |
| 8 | 2020 | 1 |
About Zeming Li
Zeming Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Geophysics, Economics and Econometrics and Aerospace Engineering, having authored 8 papers that have together received 453 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Advanced Image and Video Retrieval Techniques (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Video Surveillance and Tracking Methods (3 papers), Geochemistry and Geochronology of Asian Mineral Deposits (1 paper), Adversarial Robustness in Machine Learning (1 paper), Geochemistry and Geologic Mapping (1 paper) and Geological and Geochemical Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (377 citations), Media Technology (58 citations), Artificial Intelligence (158 citations), Industrial and Manufacturing Engineering (35 citations) and Safety, Risk, Reliability and Quality (17 citations). Zeming Li has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Gang Yu, Zheng Qin, Yuxing Peng, Jian Sun, Zhaoning Zhang, Yiping Bao, Jian Sun, Xiangyu Zhang, Yuning Jiang and Tete Xiao. Their work appears in journals such as Journal of Jilin University, Proceedings of the AAAI Conference on Artificial Intelligence and arXiv (Cornell University).
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.