Xiaoping Fan
Impact in
- Soil Science top 5%
- Soil Carbon and Nitrogen Dynamics
-
- Recycling and Waste Management Techniques
Papers in
-
- Robotic Path Planning Algorithms 12
- Image and Signal Denoising Methods 11
- Co-authors
- Yongchao Liang (23 shared papers)Chang Yin (19 shared papers)Qingyu Li (12 shared papers)Hong-Qiang Wang (11 shared papers)Zhifang Liao (23 shared papers)Wei‐Cai Yang (2 shared papers)Guochao Yan (11 shared papers)Qichang Pan (7 shared papers)
- Journals
- IEEE Access (7 papers)The Science of The Total Environment (6 papers)Biology and Fertility of Soils (4 papers)Soil Biology and Biochemistry (4 papers)Applied Sciences (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoping Fan
274 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 195
- Soil Science 267
- Waste Management and Disposal 222
- Geochemistry and Petrology 123
- Pollution 209
- Computer Vision and Pattern Recognition 397
Countries citing papers authored by Xiaoping Fan
This map shows the geographic impact of Xiaoping Fan'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 Xiaoping Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Fan more than expected).
Fields of papers citing papers by Xiaoping Fan
This network shows the impact of papers produced by Xiaoping Fan. 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 Xiaoping Fan. The network helps show where Xiaoping Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping Fan, 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 304 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 161 | |
| 2 | 2020 | 139 | |
| 3 | 2022 | 95 | |
| 4 | 2021 | 94 | |
| 5 | 2019 | 91 | |
| 6 | 2017 | 83 | |
| 7 | 2020 | 80 | |
| 8 | 2020 | 70 | |
| 9 | 2019 | 66 | |
| 10 | 2004 | 66 | |
| 11 | 2021 | 64 | |
| 12 | 2020 | 63 | |
| 13 | 2022 | 63 | |
| 14 | 2024 | 60 | |
| 15 | 2016 | 59 | |
| 16 | 2021 | 54 | |
| 17 | 2018 | 52 | |
| 18 | 2022 | 49 | |
| 19 | 2021 | 48 | |
| 20 | 2015 | 47 |
About Xiaoping Fan
Xiaoping Fan is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence, having authored 304 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advancements in Battery Materials (14 papers), Energy Efficient Wireless Sensor Networks (14 papers), Robotic Path Planning Algorithms (12 papers), Complex Network Analysis Techniques (11 papers), Image and Signal Denoising Methods (11 papers), Advanced Battery Materials and Technologies (11 papers), Soil Carbon and Nitrogen Dynamics (11 papers) and Distributed Control Multi-Agent Systems (10 papers). The work is most often cited by research in Soil Science (267 citations), Waste Management and Disposal (222 citations), Geochemistry and Petrology (123 citations), Pollution (209 citations) and Computer Vision and Pattern Recognition (397 citations). Xiaoping Fan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yongchao Liang, Chang Yin, Qingyu Li, Hong-Qiang Wang, Zhifang Liao, Wei‐Cai Yang, Guochao Yan, Qichang Pan, Fenghua Zheng and Youguo Huang. Their work appears in journals such as IEEE Access, The Science of The Total Environment, Biology and Fertility of Soils, Soil Biology and Biochemistry and Applied Sciences.
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.