Junwei Jin
Impact in
- Artificial Intelligence top 5%
- Machine Learning and ELM
- Imbalanced Data Classification Techniques
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- Advanced Neural Network Applications
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
Papers in
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- Machine Learning and ELM 16
- Imbalanced Data Classification Techniques 10
- Advanced Clustering Algorithms Research 1
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- Face and Expression Recognition 10
- Advanced Neural Network Applications 3
- Co-authors
- C L Philip Chen (31 shared papers)Yanting Li (23 shared papers)Zhulin Liu (1 shared paper)Jing Liang (6 shared papers)Jingzhi Guo (1 shared paper)Liang Zhao (5 shared papers)Yang Xiao (3 shared papers)Junwei Duan (3 shared papers)
- Journals
- IEEE Access (5 papers)Applied Soft Computing (4 papers)Pattern Recognition (4 papers)Knowledge-Based Systems (2 papers)Information Sciences (2 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Junwei Jin
45 papers receiving 820 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 449
- Computer Vision and Pattern Recognition 159
- Media Technology 36
- Health Information Management 31
- Control and Systems Engineering 45
Countries citing papers authored by Junwei Jin
This map shows the geographic impact of Junwei 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 Junwei Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwei Jin more than expected).
Fields of papers citing papers by Junwei Jin
This network shows the impact of papers produced by Junwei 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 Junwei Jin. The network helps show where Junwei Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Junwei 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 117 | |
| 2 | 2018 | 103 | |
| 3 | 2021 | 70 | |
| 4 | 2017 | 59 | |
| 5 | 2023 | 54 | |
| 6 | 2022 | 50 | |
| 7 | 2023 | 45 | |
| 8 | 2021 | 41 | |
| 9 | 2021 | 30 | |
| 10 | 2024 | 26 | |
| 11 | 2024 | 21 | |
| 12 | 2023 | 20 | |
| 13 | 2023 | 18 | |
| 14 | 2023 | 17 | |
| 15 | 2025 | 16 | |
| 16 | 2024 | 13 | |
| 17 | 2024 | 13 | |
| 18 | 2024 | 12 | |
| 19 | 2018 | 10 | |
| 20 | 2020 | 9 |
About Junwei Jin
Junwei Jin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality, Computational Mathematics and Computational Mechanics, having authored 49 papers that have together received 836 indexed citations. Recurring topics across this work include Machine Learning and ELM (16 papers), Face and Expression Recognition (10 papers), Imbalanced Data Classification Techniques (10 papers), Advanced Neural Network Applications (3 papers), Sparse and Compressive Sensing Techniques (2 papers), Adaptive Control of Nonlinear Systems (1 paper), Distributed and Parallel Computing Systems (1 paper) and Advanced Clustering Algorithms Research (1 paper). The work is most often cited by research in Artificial Intelligence (449 citations), Computer Vision and Pattern Recognition (159 citations), Media Technology (36 citations), Health Information Management (31 citations) and Control and Systems Engineering (45 citations). Junwei Jin has collaborated with scholars based in China, Macao and United States. Frequent co-authors include C L Philip Chen, Yanting Li, Zhulin Liu, Jing Liang, Jingzhi Guo, Liang Zhao, Yang Xiao, Junwei Duan, Dengxiu Yu and Fubao Zhu. Their work appears in journals such as IEEE Access, Applied Soft Computing, Pattern Recognition, Knowledge-Based Systems and Information 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.