Jinhe Su
Impact in
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- Advanced Neural Network Applications
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- 3D Surveying and Cultural Heritage
Papers in
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- Advanced Neural Network Applications 25
- Medical Image Segmentation Techniques 4
- Advanced Vision and Imaging 3
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- 3D Shape Modeling and Analysis 16
- Co-authors
- Guorong Cai (37 shared papers)Rui‐Heng Yang (2 shared papers)Yi‐Jian Yao (2 shared papers)ZongYue Wang (16 shared papers)Ying‐Ying Wu (1 shared paper)Dapeng Bao (1 shared paper)Yan Li (1 shared paper)Junjun Shang (1 shared paper)
- Journals
- International Journal of Applied Earth Observation and Geoinformation (4 papers)IEEE Transactions on Intelligent Transportation Systems (3 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)ISPRS Journal of Photogrammetry and Remote Sensing (2 papers)
In The Last Decade
Jinhe Su
39 papers receiving 436 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 141
- Geology 24
- Computational Mechanics 75
- Media Technology 25
- Cell Biology 35
Countries citing papers authored by Jinhe Su
This map shows the geographic impact of Jinhe Su'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 Jinhe Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinhe Su more than expected).
Fields of papers citing papers by Jinhe Su
This network shows the impact of papers produced by Jinhe Su. 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 Jinhe Su. The network helps show where Jinhe Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinhe Su, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 141 | |
| 2 | 2021 | 37 | |
| 3 | 2021 | 36 | |
| 4 | 2020 | 24 | |
| 5 | 2014 | 18 | |
| 6 | 2018 | 18 | |
| 7 | 2023 | 18 | |
| 8 | 2021 | 17 | |
| 9 | 2024 | 17 | |
| 10 | 2020 | 12 | |
| 11 | 2021 | 11 | |
| 12 | 2022 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2018 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2023 | 4 |
About Jinhe Su
Jinhe Su is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Geology, Ocean Engineering and Media Technology, having authored 51 papers that have together received 450 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (25 papers), 3D Shape Modeling and Analysis (16 papers), 3D Surveying and Cultural Heritage (4 papers), Medical Image Segmentation Techniques (4 papers), Automated Road and Building Extraction (3 papers), Advanced Vision and Imaging (3 papers), Remote-Sensing Image Classification (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (141 citations), Geology (24 citations), Computational Mechanics (75 citations), Media Technology (25 citations) and Cell Biology (35 citations). Jinhe Su has collaborated with scholars based in China, Canada and Brazil. Frequent co-authors include Guorong Cai, Rui‐Heng Yang, Yi‐Jian Yao, ZongYue Wang, Ying‐Ying Wu, Dapeng Bao, Yan Li, Junjun Shang, Jing Du and Jonathan Li. Their work appears in journals such as International Journal of Applied Earth Observation and Geoinformation, IEEE Transactions on Intelligent Transportation Systems, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing and ISPRS Journal of Photogrammetry and Remote Sensing.
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.