Jun Fang
- Computational Mathematics top 1%
- Signal Processing top 0.5%
- Blind Source Separation Techniques 28
- Computer Networks and Communications top 0.5%
- Distributed Sensor Networks and Detection Algorithms 39
- Aerospace Engineering top 0.5%
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- Advanced MIMO Systems Optimization 55
- Advanced Wireless Communication Technologies 40
- Wireless Communication Security Techniques 36
- Millimeter-Wave Propagation and Modeling 28
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- Sparse and Compressive Sensing Techniques 51
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- Target Tracking and Data Fusion in Sensor Networks 27
- Journals
- IEEE Signal Processing Letters (26 papers)IEEE Transactions on Signal Processing (25 papers)IEEE Transactions on Wireless Communications (19 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jun Fang
257 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Computational Mathematics 92
- Signal Processing 940
- Computer Networks and Communications 1.9k
- Aerospace Engineering 1.6k
- Electrical and Electronic Engineering 3.5k
Countries citing papers authored by Jun Fang
This map shows the geographic impact of Jun Fang'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 Jun Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Fang more than expected).
Fields of papers citing papers by Jun Fang
This network shows the impact of papers produced by Jun Fang. 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 Jun Fang. The network helps show where Jun Fang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Fang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 21 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 23 | |
| 12 | 2021 | 11 | |
| 13 | 2021 | 30 | |
| 14 | 2021 | 31 | |
| 15 | 2020 | 15 | |
| 16 | Study On Potential Factors Of Patient Satisfaction: Based On Exploratory Factor Analysis | 2019 | 0 |
| 17 | 2019 | 75 | |
| 18 | 2018 | 35 | |
| 19 | 2015 | 77 | |
| 20 | 2014 | 5 |
About Jun Fang
Jun Fang is a scholar working on Computational Mathematics, Signal Processing, Computer Networks and Communications, Computational Mechanics and Electrical and Electronic Engineering, having authored 281 papers that have together received 6.3k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (55 papers), Sparse and Compressive Sensing Techniques (51 papers), Advanced Wireless Communication Technologies (40 papers), Distributed Sensor Networks and Detection Algorithms (39 papers), Wireless Communication Security Techniques (36 papers), Blind Source Separation Techniques (28 papers), Millimeter-Wave Propagation and Modeling (28 papers) and Target Tracking and Data Fusion in Sensor Networks (27 papers). The work is most often cited by research in Computational Mathematics (92 citations), Signal Processing (940 citations), Computer Networks and Communications (1.9k citations), Aerospace Engineering (1.6k citations) and Electrical and Electronic Engineering (3.5k citations). Jun Fang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Hongbin Li, Zhi Chen, Pu Wang, Linxiao Yang, Huiping Duan, Yanning Shen, Xingjian Li, Weidong Mei, Ying‐Chang Liang and Shaoqian Li. Their work appears in journals such as IEEE Signal Processing Letters, IEEE Transactions on Signal Processing, IEEE Transactions on Wireless Communications, IEEE Wireless Communications Letters and IEEE Transactions on Vehicular Technology.
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.