Longcun Jin
Impact in
- Media Technology top 5%
- Image Processing Techniques and Applications
- Advanced Image Fusion Techniques
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- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Image and Signal Denoising Methods
- Image Enhancement Techniques
- Image and Video Quality Assessment
Papers in
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- Advanced Vision and Imaging 11
- Advanced Image Processing Techniques 8
- Image Retrieval and Classification Techniques 3
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- Image Processing Techniques and Applications 6
- Co-authors
- Xianfang Sun (10 shared papers)Yunxuan Wei (1 shared paper)Hengjie Song (1 shared paper)Yawei Li (1 shared paper)Shuhang Gu (1 shared paper)Radu Timofte (1 shared paper)Changyou Chen (2 shared papers)Hua Wang (2 shared papers)
- Journals
- IEEE Access (5 papers)Applied Sciences (1 paper)Graphical Models (1 paper)IEEE Transactions on Multimedia (1 paper)Information Sciences (1 paper)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Longcun Jin
16 papers receiving 269 citations
Peers
Comparison fields: 5 of 44
- Media Technology 115
- Computer Vision and Pattern Recognition 237
- Computer Graphics and Computer-Aided Design 6
- Computational Mechanics 25
- Instrumentation 3
Countries citing papers authored by Longcun Jin
This map shows the geographic impact of Longcun 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 Longcun Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longcun Jin more than expected).
Fields of papers citing papers by Longcun Jin
This network shows the impact of papers produced by Longcun 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 Longcun Jin. The network helps show where Longcun Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Longcun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 102 | |
| 2 | 2021 | 54 | |
| 3 | 2019 | 43 | |
| 4 | 2019 | 19 | |
| 5 | 2015 | 14 | |
| 6 | 2018 | 9 | |
| 7 | 2020 | 7 | |
| 8 | 2018 | 6 | |
| 9 | 2020 | 5 | |
| 10 | 2020 | 4 | |
| 11 | 2020 | 3 | |
| 12 | 2009 | 2 | |
| 13 | 2010 | 1 | |
| 14 | 2009 | 1 | |
| 15 | 2010 | 1 | |
| 16 | 2015 | 1 |
About Longcun Jin
Longcun Jin is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computational Mechanics, Urban Studies and Signal Processing, having authored 16 papers that have together received 272 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (11 papers), Advanced Image Processing Techniques (8 papers), Image Processing Techniques and Applications (6 papers), Image Retrieval and Classification Techniques (3 papers), 3D Shape Modeling and Analysis (3 papers), 3D Surveying and Cultural Heritage (1 paper), Advanced Computing and Algorithms (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Media Technology (115 citations), Computer Vision and Pattern Recognition (237 citations), Computer Graphics and Computer-Aided Design (6 citations), Computational Mechanics (25 citations) and Instrumentation (3 citations). Longcun Jin has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Xianfang Sun, Yunxuan Wei, Hengjie Song, Yawei Li, Shuhang Gu, Radu Timofte, Changyou Chen, Hua Wang, Xiang Zhou and Paul L. Rosin. Their work appears in journals such as IEEE Access, Applied Sciences, Graphical Models, IEEE Transactions on Multimedia 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.