Xiaochen Fan
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Transportation top 5%
Papers in
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- IoT and Edge/Fog Computing 8
- Age of Information Optimization 4
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- Speech and Audio Processing 9
- Co-authors
- Xiangjian He (15 shared papers)Chaocan Xiang (10 shared papers)Xudong Song (6 shared papers)Gengfa Fang (8 shared papers)Qianwen Ye (7 shared papers)Zumin Wang (3 shared papers)Ning Yang (1 shared paper)Liangyi Gong (7 shared papers)
- Journals
- IEEE Access (6 papers)IEEE Internet of Things Journal (4 papers)IEEE Transactions on Network Science and Engineering (2 papers)IEEE Transactions on Mobile Computing (2 papers)Remote Sensing (2 papers)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Xiaochen Fan
42 papers receiving 874 citations
Peers
Comparison fields: 5 of 77
- Signal Processing 222
- Transportation 67
- Ocean Engineering 150
- Computer Networks and Communications 232
- Computer Vision and Pattern Recognition 174
Countries citing papers authored by Xiaochen Fan
This map shows the geographic impact of Xiaochen 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 Xiaochen Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochen Fan more than expected).
Fields of papers citing papers by Xiaochen Fan
This network shows the impact of papers produced by Xiaochen 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 Xiaochen Fan. The network helps show where Xiaochen Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaochen 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 210 | |
| 2 | 2013 | 96 | |
| 3 | 2020 | 69 | |
| 4 | 2019 | 67 | |
| 5 | 2020 | 59 | |
| 6 | 2020 | 46 | |
| 7 | 2020 | 38 | |
| 8 | 2021 | 32 | |
| 9 | 2020 | 29 | |
| 10 | 2022 | 24 | |
| 11 | 2022 | 23 | |
| 12 | 2021 | 18 | |
| 13 | 2020 | 15 | |
| 14 | 2016 | 15 | |
| 15 | 2020 | 14 | |
| 16 | 2018 | 14 | |
| 17 | 2018 | 13 | |
| 18 | 2020 | 11 | |
| 19 | 2022 | 10 | |
| 20 | 2018 | 10 |
About Xiaochen Fan
Xiaochen Fan is a scholar working on Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition, Transportation and Electrical and Electronic Engineering, having authored 48 papers that have together received 896 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (11 papers), Speech and Audio Processing (9 papers), IoT and Edge/Fog Computing (8 papers), Underwater Vehicles and Communication Systems (6 papers), Age of Information Optimization (4 papers), Human Mobility and Location-Based Analysis (4 papers), Advanced Neural Network Applications (4 papers) and Traffic Prediction and Management Techniques (4 papers). The work is most often cited by research in Signal Processing (222 citations), Transportation (67 citations), Ocean Engineering (150 citations), Computer Networks and Communications (232 citations) and Computer Vision and Pattern Recognition (174 citations). Xiaochen Fan has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Xiangjian He, Chaocan Xiang, Xudong Song, Gengfa Fang, Qianwen Ye, Zumin Wang, Ning Yang, Liangyi Gong, Panlong Yang and Priyadarsi Nanda. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Mobile Computing 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.