Xiaobing Chen
Impact in
- Soil Science top 10%
- Soil Carbon and Nitrogen Dynamics
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- Plant Stress Responses and Tolerance
Papers in
-
- Advanced Neural Network Applications 5
- Graph Theory and Algorithms 2
- Advanced Vision and Imaging 2
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- Adversarial Robustness in Machine Learning 2
- Co-authors
- Kun Yan (2 shared papers)Lihua Zhang (1 shared paper)Mingxing Cui (1 shared paper)Xiaoli Tang (1 shared paper)Shijie Zhao (1 shared paper)Junbao Yu (2 shared papers)Huifeng Wu (1 shared paper)Yang Fu (1 shared paper)
- Journals
- Frontiers in Plant Science (2 papers)CLEAN - Soil Air Water (2 papers)IEEE Transactions on Computers (1 paper)Sustainability (1 paper)Frontiers in Psychology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaobing Chen
24 papers receiving 304 citations
Peers
Comparison fields: 5 of 91
- Soil Science 58
- Plant Science 115
- Biochemistry 17
- Environmental Engineering 28
- Computer Vision and Pattern Recognition 40
Countries citing papers authored by Xiaobing Chen
This map shows the geographic impact of Xiaobing Chen'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 Xiaobing Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobing Chen more than expected).
Fields of papers citing papers by Xiaobing Chen
This network shows the impact of papers produced by Xiaobing Chen. 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 Xiaobing Chen. The network helps show where Xiaobing Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobing Chen, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 66 | |
| 2 | 2015 | 55 | |
| 3 | 2010 | 49 | |
| 4 | 2021 | 34 | |
| 5 | 2020 | 24 | |
| 6 | 2018 | 21 | |
| 7 | 2012 | 13 | |
| 8 | 2010 | 10 | |
| 9 | 2019 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 3 | |
| 14 | Study on classification and evaluation of soil salinity profiles using with electromagnetic induction EM38 | 2007 | 3 |
| 15 | 2024 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2025 | 1 |
About Xiaobing Chen
Xiaobing Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 30 papers that have together received 318 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Soil Carbon and Nitrogen Dynamics (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Soil and Unsaturated Flow (2 papers), Peatlands and Wetlands Ecology (2 papers), Adversarial Robustness in Machine Learning (2 papers), Graph Theory and Algorithms (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Soil Science (58 citations), Plant Science (115 citations), Biochemistry (17 citations), Environmental Engineering (28 citations) and Computer Vision and Pattern Recognition (40 citations). Xiaobing Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Kun Yan, Lihua Zhang, Mingxing Cui, Xiaoli Tang, Shijie Zhao, Junbao Yu, Huifeng Wu, Yang Fu, Zhichun Wang and F. X. Meixner. Their work appears in journals such as Frontiers in Plant Science, CLEAN - Soil Air Water, IEEE Transactions on Computers, Sustainability and Frontiers in Psychology.
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.