Junlan Jin
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
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- Human Pose and Action Recognition
- Image Enhancement Techniques
Papers in
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- Human Pose and Action Recognition 6
- Image Enhancement Techniques 1
- Context-Aware Activity Recognition Systems 1
- Image and Signal Denoising Methods 1
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- Anomaly Detection Techniques and Applications 6
- Co-authors
- Kai Hu (8 shared papers)Min Xia (4 shared papers)Liguo Weng (5 shared papers)Qingfeng Xia (2 shared papers)Ming Qian (1 shared paper)Yonghong Zhang (1 shared paper)Fei Zheng (2 shared papers)A. Surzhykov (1 shared paper)
- Journals
- Applied Sciences (3 papers)Sensors (1 paper)Multimedia Systems (1 paper)International Journal of Applied Earth Observation and Geoinformation (1 paper)Annalen der Physik (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Junlan Jin
9 papers receiving 340 citations
Peers
Comparison fields: 5 of 68
- Media Technology 116
- Computer Vision and Pattern Recognition 200
- Atmospheric Science 61
- Artificial Intelligence 96
- Ocean Engineering 31
Countries citing papers authored by Junlan Jin
This map shows the geographic impact of Junlan 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 Junlan Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junlan Jin more than expected).
Fields of papers citing papers by Junlan Jin
This network shows the impact of papers produced by Junlan 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 Junlan Jin. The network helps show where Junlan Jin may publish in the future.
Co-authors
The 22 scholars most cited alongside Junlan 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 | 2022 | 99 | |
| 2 | 2021 | 96 | |
| 3 | 2022 | 61 | |
| 4 | 2022 | 26 | |
| 5 | 2022 | 24 | |
| 6 | 2023 | 15 | |
| 7 | 2021 | 14 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 3 | |
| 10 | 2022 | 0 |
About Junlan Jin
Junlan Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 10 papers that have together received 347 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), Anomaly Detection Techniques and Applications (6 papers), Gait Recognition and Analysis (5 papers), Image Enhancement Techniques (1 paper), Remote-Sensing Image Classification (1 paper), Context-Aware Activity Recognition Systems (1 paper), Image and Signal Denoising Methods (1 paper) and Distributed Control Multi-Agent Systems (1 paper). The work is most often cited by research in Media Technology (116 citations), Computer Vision and Pattern Recognition (200 citations), Atmospheric Science (61 citations), Artificial Intelligence (96 citations) and Ocean Engineering (31 citations). Junlan Jin has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Kai Hu, Min Xia, Liguo Weng, Qingfeng Xia, Ming Qian, Yonghong Zhang, Fei Zheng, A. Surzhykov, Hans A. Weidenmüller and Mikhail Gorchtein. Their work appears in journals such as Applied Sciences, Sensors, Multimedia Systems, International Journal of Applied Earth Observation and Geoinformation and Annalen der Physik.
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.