Li Jin
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Text and Document Classification Technologies
- Information Systems top 10%
- Software Engineering Research
Papers in
-
- Topic Modeling 27
- Natural Language Processing Techniques 11
- Advanced Graph Neural Networks 9
- Advanced Text Analysis Techniques 9
- Sentiment Analysis and Opinion Mining 5
-
- Software Engineering Research 4
- Co-authors
- Zequn Zhang (20 shared papers)Xian Sun (16 shared papers)Guangluan Xu (11 shared papers)Zhi Guo (11 shared papers)Qing Liu (8 shared papers)Xingyu Fu (4 shared papers)Jiuniu Wang (3 shared papers)Yang Yang (2 shared papers)
- Journals
- Neurocomputing (6 papers)Knowledge-Based Systems (4 papers)IEEE Access (4 papers)Applied Intelligence (3 papers)Applied Sciences (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Li Jin
50 papers receiving 361 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 291
- Information Systems 63
- Management Science and Operations Research 25
- Signal Processing 19
- Computer Vision and Pattern Recognition 32
Countries citing papers authored by Li Jin
This map shows the geographic impact of Li Jin'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 Li Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Jin more than expected).
Fields of papers citing papers by Li Jin
This network shows the impact of papers produced by Li Jin. 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 Li Jin. The network helps show where Li Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Jin, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 76 | |
| 2 | 2021 | 44 | |
| 3 | 2021 | 28 | |
| 4 | 2022 | 27 | |
| 5 | 2021 | 22 | |
| 6 | 2024 | 13 | |
| 7 | 2021 | 13 | |
| 8 | 2017 | 12 | |
| 9 | 2020 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2022 | 9 | |
| 12 | 2018 | 8 | |
| 13 | 2023 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2014 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2019 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2021 | 4 |
About Li Jin
Li Jin is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 58 papers that have together received 373 indexed citations. Recurring topics across this work include Topic Modeling (27 papers), Natural Language Processing Techniques (11 papers), Advanced Graph Neural Networks (9 papers), Advanced Text Analysis Techniques (9 papers), Multimodal Machine Learning Applications (5 papers), Sentiment Analysis and Opinion Mining (5 papers), Software Engineering Research (4 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (291 citations), Information Systems (63 citations), Management Science and Operations Research (25 citations), Signal Processing (19 citations) and Computer Vision and Pattern Recognition (32 citations). Li Jin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zequn Zhang, Xian Sun, Guangluan Xu, Zhi Guo, Qing Liu, Xingyu Fu, Jiuniu Wang, Yang Yang, Shuchao Li and Xinlong Li. Their work appears in journals such as Neurocomputing, Knowledge-Based Systems, IEEE Access, Applied Intelligence 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.