Kun Qin
Impact in
- Media Technology top 1%
- Remote-Sensing Image Classification
- Transportation top 2%
- Human Mobility and Location-Based Analysis
- Transportation Planning and Optimization
Papers in
-
- Remote-Sensing Image Classification 14
- Advanced Image Fusion Techniques 8
- Co-authors
- Qi Bi (7 shared papers)Yixiang Chen (7 shared papers)Han Zhang (4 shared papers)Kai Xu (7 shared papers)Liumin Suo (4 shared papers)Pengxiang Zhao (2 shared papers)Deyi Li (6 shared papers)Tao Wu (13 shared papers)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (7 papers)Neurocomputing (3 papers)ISPRS International Journal of Geo-Information (3 papers)Transactions in GIS (3 papers)Advanced Optical Materials (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Kun Qin
79 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 125
- Media Technology 304
- Transportation 208
- Computer Vision and Pattern Recognition 319
- Automotive Engineering 165
- Signal Processing 96
Countries citing papers authored by Kun Qin
This map shows the geographic impact of Kun Qin'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 Kun Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Qin more than expected).
Fields of papers citing papers by Kun Qin
This network shows the impact of papers produced by Kun Qin. 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 Kun Qin. The network helps show where Kun Qin may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Qin, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 136 | |
| 2 | 2011 | 94 | |
| 3 | 2018 | 85 | |
| 4 | 2016 | 76 | |
| 5 | 2021 | 67 | |
| 6 | 2019 | 65 | |
| 7 | 2022 | 64 | |
| 8 | 2019 | 62 | |
| 9 | 2021 | 59 | |
| 10 | 2019 | 42 | |
| 11 | 2018 | 32 | |
| 12 | 2014 | 31 | |
| 13 | 2010 | 29 | |
| 14 | 2020 | 28 | |
| 15 | 2020 | 25 | |
| 16 | 2015 | 21 | |
| 17 | 2014 | 17 | |
| 18 | 2022 | 16 | |
| 19 | 2019 | 16 | |
| 20 | 2017 | 14 |
About Kun Qin
Kun Qin is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Transportation, Atmospheric Science and Artificial Intelligence, having authored 96 papers that have together received 1.2k indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (15 papers), Remote Sensing and Land Use (14 papers), Remote-Sensing Image Classification (14 papers), Advanced Decision-Making Techniques (11 papers), Traffic Prediction and Management Techniques (8 papers), Genomics and Phylogenetic Studies (8 papers), Advanced Image Fusion Techniques (8 papers) and Data Management and Algorithms (7 papers). The work is most often cited by research in Media Technology (304 citations), Transportation (208 citations), Computer Vision and Pattern Recognition (319 citations), Automotive Engineering (165 citations) and Signal Processing (96 citations). Kun Qin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Qi Bi, Yixiang Chen, Han Zhang, Kai Xu, Liumin Suo, Pengxiang Zhao, Deyi Li, Tao Wu, Kai Xü and Gui-Song Xia. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Neurocomputing, ISPRS International Journal of Geo-Information, Transactions in GIS and Advanced Optical Materials.
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.