Jun Fang

270 papers receiving 6.8k citations

Jun Fang's Hit Papers

Joint Waveform and Beamforming Design for RIS-Aided ISAC Systems 2023 · 133 citations
1330+1+3Years since publication50100150200

Peers

Jun Fang
Comparison fields: 5 of 130
  • Computational Mathematics 93
  • Signal Processing 1.0k
  • Computer Networks and Communications 2.1k
  • Aerospace Engineering 1.8k
  • Electrical and Electronic Engineering 3.8k
Replace Robert C. Qiu with:
Robert C. Qiu United States
Markus Rupp Austria
Xiqi Gao China
Shaoqian Li China
Chao-Kai Wen Taiwan
Hsiao‐Chun Wu United States
Tsung‐Hui Chang China
Ying Sun China
Fan Liu China
Vincent Kin Nang Lau Hong Kong
Jun Fang relative to Robert C. Qiu United States Robert C. Qiu's profile →
Citations per field
00.5×2×3×3.6×
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 291 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019253
2 2009253
3 2017251
4 2014222
5
Terahertz Multi-User Massive MIMO With Intelligent Reflecting Surface: Beam Training and Hybrid Beamforming
Hit paper breakdown →
2021214
6 2017189
7 2018151
8 2020151
9 2016148
10 2020144
11 2017143
12 2018138
13
Joint Waveform and Beamforming Design for RIS-Aided ISAC Systems
Hit paper breakdown →
2023133
14 2019106
15 2020101
16 201596
17 201694
18 201891
19 201887
20 201886

About Jun Fang

Jun Fang is a scholar working on Computer Networks and Communications, Signal Processing, Electrical and Electronic Engineering, Computational Mechanics and Artificial Intelligence, having authored 291 papers that have together received 7.0k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (56 papers), Sparse and Compressive Sensing Techniques (52 papers), Advanced Wireless Communication Technologies (40 papers), Distributed Sensor Networks and Detection Algorithms (39 papers), Wireless Communication Security Techniques (37 papers), Millimeter-Wave Propagation and Modeling (28 papers), Blind Source Separation Techniques (28 papers) and Target Tracking and Data Fusion in Sensor Networks (26 papers). The work is most often cited by research in Computational Mathematics (93 citations), Signal Processing (1.0k citations), Computer Networks and Communications (2.1k citations), Aerospace Engineering (1.8k citations) and Electrical and Electronic Engineering (3.8k citations). Jun Fang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Hongbin Li, Zhi Chen, Linxiao Yang, Huiping Duan, Yanning Shen, Pu Perry Wang, 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 Wireless Communications Letters, IEEE Transactions on Wireless Communications 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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