Jun Fang

257 papers receiving 6.1k citations

Jun Fang's Hit Papers

Joint Waveform and Beamforming Design for RIS-Aided ISAC Systems 2023 · 108 citations
1080+1+2Years since publication255075100

Peers

Jun Fang
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
Replace Robert C. Qiu with:
Robert C. Qiu United States
Markus Rupp Austria
Xiqi Gao China
Hoang Duong Tuan Australia
Chao-Kai Wen Taiwan
Yik‐Chung Wu Hong Kong
Davide Dardari Italy
Giuseppe Caire Germany
Vincent K. N. Lau Hong Kong
Ying Sun China
Jun Fang relative to Robert C. Qiu United States Robert C. Qiu's profile →
Citations per field
00.5×3.5×
Robert C. Qiu · 1×
Citations per year

Countries citing papers authored by Jun Fang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Jun Fang Line = papers co-authored together Jun Fang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 281 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009237
2 2019231
3 2017226
4 2014205
5 2021183
6 2017180
7 2020141
8 2016140
9 2018140
10 2020130
11 2018125
12 2017125
13
Joint Waveform and Beamforming Design for RIS-Aided ISAC Systems
Hit paper breakdown →
2023108
14 201991
15 201887
16 201687
17 201882
18 201882
19 201577
20 201577

About Jun Fang

Jun Fang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computational Mechanics, Artificial Intelligence and Signal Processing, 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), Millimeter-Wave Propagation and Modeling (28 papers), Blind Source Separation Techniques (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.

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