Jun Fang

9.2k total citations · 1 hit paper
281 papers, 6.3k citations indexed

About

Jun Fang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computational Mechanics. According to data from OpenAlex, Jun Fang has authored 281 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Electrical and Electronic Engineering, 97 papers in Computer Networks and Communications and 61 papers in Computational Mechanics. Recurrent topics in Jun Fang's work include Advanced MIMO Systems Optimization (55 papers), Sparse and Compressive Sensing Techniques (51 papers) and Advanced Wireless Communication Technologies (40 papers). Jun Fang is often cited by papers focused on Advanced MIMO Systems Optimization (55 papers), Sparse and Compressive Sensing Techniques (51 papers) and Advanced Wireless Communication Technologies (40 papers). Jun Fang collaborates with scholars based in China, United States and Singapore. Jun Fang's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Information Theory.

In The Last Decade

Jun Fang

257 papers receiving 6.1k citations

Hit Papers

Joint Waveform and Beamforming Design for RIS-Aided ISAC ... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Fang China 44 3.5k 1.9k 1.6k 1.1k 1.0k 281 6.3k
Tareq Y. Al-Naffouri Saudi Arabia 40 4.3k 1.2× 2.0k 1.0× 1.3k 0.8× 870 0.8× 420 0.4× 365 6.2k
Markus Rupp Austria 42 6.4k 1.8× 3.6k 1.9× 899 0.5× 953 0.8× 676 0.6× 575 8.7k
Yue Gao United Kingdom 41 3.7k 1.1× 1.7k 0.9× 2.5k 1.6× 678 0.6× 614 0.6× 304 6.1k
J. Andrew Zhang Australia 39 4.1k 1.2× 1.6k 0.8× 2.4k 1.5× 307 0.3× 540 0.5× 392 6.6k
Robert C. Qiu United States 38 3.2k 0.9× 1.3k 0.7× 1.0k 0.6× 529 0.5× 464 0.4× 242 4.9k
Chao-Kai Wen Taiwan 46 7.9k 2.3× 2.1k 1.1× 2.2k 1.4× 415 0.4× 2.2k 2.2× 297 9.7k
Mikko Valkama Finland 45 8.6k 2.5× 2.6k 1.4× 2.5k 1.5× 405 0.4× 540 0.5× 624 10.0k
Gang Wang China 32 2.4k 0.7× 822 0.4× 845 0.5× 364 0.3× 1.2k 1.1× 181 3.7k
Nir Shlezinger Israel 34 2.9k 0.8× 852 0.4× 1.8k 1.1× 260 0.2× 1.3k 1.3× 185 5.0k
Fan Liu China 35 6.6k 1.9× 2.1k 1.1× 6.1k 3.7× 344 0.3× 856 0.8× 255 10.2k

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-authorship network of co-authors of Jun Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Fang. A scholar is included among the top collaborators of Jun Fang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Fang. Jun Fang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Mei, Weidong, et al.. (2025). A General Optimization Framework for Movable Antenna Systems via Discrete Sampling. IEEE Wireless Communications Letters. 15. 475–479.
3.
Wu, Gang, et al.. (2025). Full-Order Tensor-Based Parameters Estimation and Channel Reconstruction for Heterogeneous Bi-Static mmWave ISAC. IEEE Transactions on Vehicular Technology. 74(12). 19171–19187.
4.
Wang, Peilan, Jun Fang, Bin Wang, & Hongbin Li. (2025). Intelligent Reflecting Surface-Assisted Adaptive Beamforming for Blind Interference Suppression. IEEE Transactions on Signal Processing. 73. 1744–1758. 1 indexed citations
5.
Wan, Qian, Shaodan Ma, Jun Fang, & Yuan Wu. (2024). Robust Closed-Form Multibeam Beamforming Design for mmWave Dual-Function Radar-Communication Systems. IEEE Internet of Things Journal. 11(22). 36801–36816. 2 indexed citations
6.
Fang, Jun, et al.. (2024). CSI-Free Position Optimization for Movable Antenna Communication Systems: A Derivative-Free Optimization Approach. IEEE Wireless Communications Letters. 14(1). 53–57. 6 indexed citations
7.
Wang, Bin, Jun Fang, Hongbin Li, & Bing Zeng. (2023). Communication-Efficient Federated Learning: A Variance-Reduced Stochastic Approach With Adaptive Sparsification. IEEE Transactions on Signal Processing. 71. 3562–3576. 11 indexed citations
8.
Wang, Hongwei, Hongbin Li, Wei Zhang, et al.. (2022). Outlier-Detection-Based Robust Information Fusion for Networked Systems. IEEE Sensors Journal. 22(22). 22291–22301. 9 indexed citations
9.
Gao, Ruipeng, et al.. (2022). CTTE: Customized Travel Time Estimation via Mobile Crowdsensing. IEEE Transactions on Intelligent Transportation Systems. 23(10). 19335–19347. 21 indexed citations
10.
Wang, Hongwei, Jun Fang, Huiping Duan, & Hongbin Li. (2022). Compressive Wideband Spectrum Sensing and Signal Recovery With Unknown Multipath Channels. IEEE Transactions on Wireless Communications. 21(7). 5305–5316. 14 indexed citations
11.
Wan, Qian, et al.. (2022). A Variational Bayesian Inference-Inspired Unrolled Deep Network for MIMO Detection. IEEE Transactions on Signal Processing. 70. 423–437. 23 indexed citations
12.
Ning, Boyu, Zhi Chen, Xiaomei Wang, et al.. (2021). Joint Power Allocation and Passive Beamforming Design for IRS-Assisted Physical-Layer Service Integration. IEEE Transactions on Wireless Communications. 20(11). 7286–7301. 11 indexed citations
13.
Wan, Qian, Jun Fang, Zhi Chen, & Hongbin Li. (2021). Hybrid Precoding and Combining for Millimeter Wave/Sub-THz MIMO-OFDM Systems With Beam Squint Effects. IEEE Transactions on Vehicular Technology. 70(8). 8314–8319. 30 indexed citations
14.
Tian, Zhi, et al.. (2021). Direction of Arrival Estimation of Wideband Sources Using Sparse Linear Arrays. IEEE Transactions on Signal Processing. 69. 4444–4457. 31 indexed citations
15.
Wang, Hanyu, et al.. (2020). Efficient Beamforming Training and Channel Estimation for Millimeter Wave OFDM Systems. IEEE Transactions on Wireless Communications. 20(5). 2805–2819. 15 indexed citations
16.
L, Liu & Jun Fang. (2019). Study On Potential Factors Of Patient Satisfaction: Based On Exploratory Factor Analysis. SHILAP Revista de lepidopterología.
17.
Xie, Jiandong, Chang Liu, Ying‐Chang Liang, & Jun Fang. (2019). Activity Pattern Aware Spectrum Sensing: A CNN-Based Deep Learning Approach. IEEE Communications Letters. 23(6). 1025–1028. 75 indexed citations
18.
Yang, Linxiao, Jun Fang, Huiping Duan, Hongbin Li, & Bing Zeng. (2018). Fast Low-Rank Bayesian Matrix Completion With Hierarchical Gaussian Prior Models. IEEE Transactions on Signal Processing. 66(11). 2804–2817. 35 indexed citations
19.
Zhou, Zhou, Xiang Gao, Jun Fang, & Zhi Chen. (2015). Spherical Wave Channel and Analysis for Large Linear Array in LoS Conditions. Lund University Publications (Lund University). 1–6. 77 indexed citations

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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