Jin Li
Impact in
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- Multimodal Machine Learning Applications
- Advanced Data Compression Techniques
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning
- Wireless Signal Modulation Classification
- Neural Networks and Reservoir Computing
Papers in
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- Advanced Image and Video Retrieval Techniques 9
- Advanced Neural Network Applications 8
- Advanced Data Compression Techniques 7
- Video Surveillance and Tracking Methods 7
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- Domain Adaptation and Few-Shot Learning 7
- Topic Modeling 6
- Co-authors
- Danshi Wang (7 shared papers)Min Zhang (5 shared papers)Chuang Song (4 shared papers)Xue Chen (2 shared papers)Min Zhang (1 shared paper)Meixia Fu (1 shared paper)Yue Cui (1 shared paper)Ze Li (1 shared paper)
- Journals
- Physica A Statistical Mechanics and its Applications (5 papers)Optics Express (3 papers)Expert Systems with Applications (3 papers)IEEE Transactions on Multimedia (2 papers)Electronics (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jin Li
122 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 131
- Computer Vision and Pattern Recognition 369
- Artificial Intelligence 569
- Signal Processing 148
- Electrical and Electronic Engineering 495
- Computer Networks and Communications 167
Countries citing papers authored by Jin Li
This map shows the geographic impact of Jin 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 Jin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Li more than expected).
Fields of papers citing papers by Jin Li
This network shows the impact of papers produced by Jin 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 Jin Li. The network helps show where Jin Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin 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 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 215 | |
| 2 | 2017 | 195 | |
| 3 | 2017 | 151 | |
| 4 | 2023 | 60 | |
| 5 | 2018 | 57 | |
| 6 | 2019 | 54 | |
| 7 | 2019 | 51 | |
| 8 | 2018 | 48 | |
| 9 | 1997 | 48 | |
| 10 | 2020 | 45 | |
| 11 | 2016 | 42 | |
| 12 | 2002 | 40 | |
| 13 | 2006 | 38 | |
| 14 | 2013 | 33 | |
| 15 | 2019 | 33 | |
| 16 | 2018 | 30 | |
| 17 | 2019 | 30 | |
| 18 | 2022 | 25 | |
| 19 | 2020 | 24 | |
| 20 | 2022 | 24 |
About Jin Li
Jin Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering and Signal Processing, having authored 136 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Advanced Neural Network Applications (8 papers), Complex Systems and Time Series Analysis (8 papers), Domain Adaptation and Few-Shot Learning (7 papers), Advanced Data Compression Techniques (7 papers), Heart Rate Variability and Autonomic Control (7 papers), Video Surveillance and Tracking Methods (7 papers) and Topic Modeling (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (369 citations), Artificial Intelligence (569 citations), Signal Processing (148 citations), Electrical and Electronic Engineering (495 citations) and Computer Networks and Communications (167 citations). Jin Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Danshi Wang, Min Zhang, Chuang Song, Xue Chen, Min Zhang, Meixia Fu, Yue Cui, Ze Li, Chen Xue and Jianqiang Li. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Optics Express, Expert Systems with Applications, IEEE Transactions on Multimedia and Electronics.
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.