Qiu Shen
- Computer Vision and Pattern Recognition top 2%
- Global and Planetary Change top 5%
- Plant Science
- Ecology top 10%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Jian WuLeizhen LiuWenhui ZhaoXun CaoJianhua YangMingkai HuangTian FengXinyi Han
- Topics
- Remote Sensing in Agriculture (10 papers)Plant Water Relations and Carbon Dynamics (9 papers)Hydrology and Drought Analysis (7 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qiu Shen
41 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 473
- Global and Planetary Change 275
- Plant Science 145
- Ecology 137
- Experimental and Cognitive Psychology 133
Countries citing papers authored by Qiu Shen
This map shows the geographic impact of Qiu Shen'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 Qiu Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiu Shen more than expected).
Fields of papers citing papers by Qiu Shen
This network shows the impact of papers produced by Qiu Shen. 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 Qiu Shen. The network helps show where Qiu Shen may publish in the future.
Co-authorship network of co-authors of Qiu Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Qiu Shen. A scholar is included among the top collaborators of Qiu Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qiu Shen. Qiu Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 2 | |
| 8 | 166 | |
| 9 | 32 | |
| 10 | 184 | |
| 11 | 22 | |
| 12 | Deep Image Compression via End-to-End Learning | 11 |
| 13 | 19 | |
| 14 | 52 | |
| 15 | 64 | |
| 16 | 5 | |
| 17 | 46 | |
| 18 | The Study of the Warm Acupuncture Treatment of Knee Osteoarthritis with Randomized Controlled Methods | 1 |
| 19 | Convergence Theory of Discrete Hopfield-type Neural Networks with Time-Delay and Its Algorithm | 0 |
| 20 | A rule learning algorithm on continuous attributes space | 1 |
About Qiu Shen
Qiu Shen is a scholar working on Global and Planetary Change, Computer Vision and Pattern Recognition and Ecology, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (10 papers), Plant Water Relations and Carbon Dynamics (9 papers) and Hydrology and Drought Analysis (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (473 citations), Global and Planetary Change (275 citations) and Media Technology (89 citations). Qiu Shen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jian Wu, Leizhen Liu, Wenhui Zhao, Xun Cao, Jianhua Yang, Mingkai Huang, Tian Feng, Xinyi Han, Tao Mei and Jun Wang. Their work appears in journals such as The Science of The Total Environment, IEEE Transactions on Image Processing 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.