Junwei Jin
Impact in
-
- Face and Expression Recognition
- Artificial Intelligence top 5%
- Machine Learning and ELM
- Imbalanced Data Classification Techniques
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
Papers in
-
- Face and Expression Recognition 25
- Advanced Neural Network Applications 4
- Advanced Image and Video Retrieval Techniques 4
-
- Machine Learning and ELM 15
- Imbalanced Data Classification Techniques 9
- Neural Networks and Applications 4
- Co-authors
- C. L. Philip Chen (26 shared papers)Yanting Li (22 shared papers)Zhulin Liu (1 shared paper)Jing Liang (6 shared papers)Jingzhi Guo (1 shared paper)Shuo Yang (1 shared paper)Liang Zhao (5 shared papers)Guiwei Li (1 shared paper)
- Journals
- IEEE Access (5 papers)Applied Soft Computing (4 papers)Information Sciences (2 papers)Knowledge-Based Systems (2 papers)Pattern Recognition (2 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Junwei Jin
45 papers receiving 763 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 317
- Artificial Intelligence 472
- Media Technology 77
- Health Information Management 37
- Neurology 58
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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 108 | |
| 2 | 2018 | 100 | |
| 3 | 2018 | 58 | |
| 4 | 2021 | 57 | |
| 5 | 2017 | 57 | |
| 6 | 2022 | 43 | |
| 7 | 2023 | 40 | |
| 8 | 2023 | 37 | |
| 9 | 2021 | 34 | |
| 10 | 2021 | 26 | |
| 11 | 2024 | 20 | |
| 12 | 2024 | 17 | |
| 13 | 2023 | 16 | |
| 14 | 2023 | 14 | |
| 15 | 2023 | 12 | |
| 16 | 2024 | 10 | |
| 17 | 2024 | 10 | |
| 18 | 2018 | 10 | |
| 19 | 2024 | 9 | |
| 20 | 2020 | 8 |
About Junwei Jin
Junwei Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Neurology and Civil and Structural Engineering, having authored 50 papers that have together received 775 indexed citations. Recurring topics across this work include Face and Expression Recognition (25 papers), Machine Learning and ELM (15 papers), Imbalanced Data Classification Techniques (9 papers), Sparse and Compressive Sensing Techniques (8 papers), Brain Tumor Detection and Classification (7 papers), Advanced Neural Network Applications (4 papers), Neural Networks and Applications (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (317 citations), Artificial Intelligence (472 citations), Media Technology (77 citations), Health Information Management (37 citations) and Neurology (58 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, Shuo Yang, Liang Zhao, Guiwei Li, Dengxiu Yu and Yang Xiao. Their work appears in journals such as IEEE Access, Applied Soft Computing, Information Sciences, Knowledge-Based Systems and Pattern Recognition.
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.