Jun Zhang

5.6k total citations · 1 hit paper
333 papers, 4.3k citations indexed

About

Jun Zhang is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Jun Zhang has authored 333 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Atomic and Molecular Physics, and Optics, 136 papers in Electrical and Electronic Engineering and 122 papers in Aerospace Engineering. Recurrent topics in Jun Zhang's work include Gyrotron and Vacuum Electronics Research (128 papers), Pulsed Power Technology Applications (96 papers) and Microwave Engineering and Waveguides (74 papers). Jun Zhang is often cited by papers focused on Gyrotron and Vacuum Electronics Research (128 papers), Pulsed Power Technology Applications (96 papers) and Microwave Engineering and Waveguides (74 papers). Jun Zhang collaborates with scholars based in China, United States and Sweden. Jun Zhang's co-authors include Huihuang Zhong, G.G. Walter, Ting Shu, Ronghui Zhan, Zhenxing Jin, Wei Wang, Dian Zhang, Bao-Liang Qian, Xingjun Ge and Yuwei Fan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Jun Zhang

304 papers receiving 4.1k citations

Hit Papers

Wavelet neural networks for function learning 1995 2026 2005 2015 1995 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Zhang China 30 2.0k 1.7k 1.7k 1.3k 642 333 4.3k
F.J. Harris United States 7 477 0.2× 1.9k 1.1× 269 0.2× 645 0.5× 837 1.3× 18 5.2k
G. Schmidt Germany 32 545 0.3× 653 0.4× 757 0.4× 719 0.6× 804 1.3× 277 4.3k
Pu Wang China 39 1.7k 0.8× 2.7k 1.6× 261 0.2× 1.2k 1.0× 218 0.3× 270 5.0k
Yong Ma China 34 561 0.3× 1.1k 0.6× 1.3k 0.8× 1.3k 1.0× 471 0.7× 159 4.4k
Jun Tang China 33 774 0.4× 1.5k 0.9× 295 0.2× 734 0.6× 251 0.4× 303 4.4k
Bill Moran Australia 29 548 0.3× 929 0.5× 179 0.1× 922 0.7× 339 0.5× 231 4.4k
Hong Guo China 41 3.8k 1.9× 1.6k 0.9× 152 0.1× 322 0.3× 578 0.9× 436 6.4k
Patrick Y. Hwang United States 11 229 0.1× 719 0.4× 681 0.4× 1.8k 1.4× 360 0.6× 22 3.4k
Charles M. Rader United States 29 334 0.2× 1.8k 1.0× 429 0.3× 534 0.4× 986 1.5× 70 5.8k
D. Williamson Australia 20 183 0.1× 1.4k 0.8× 1.1k 0.7× 342 0.3× 590 0.9× 74 4.8k

Countries citing papers authored by Jun Zhang

Since Specialization
Citations

This map shows the geographic impact of Jun Zhang'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 Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Zhang more than expected).

Fields of papers citing papers by Jun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Zhang. 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 Zhang. The network helps show where Jun Zhang may publish in the future.

Co-authorship network of co-authors of Jun Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Zhang. A scholar is included among the top collaborators of Jun Zhang 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 Zhang. Jun Zhang 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
1.
Liang, Wei, et al.. (2025). Interrupted sampling repeater jamming suppression based on Gaussian mixture model and sparse reconstruction. Digital Signal Processing. 161. 105132–105132. 1 indexed citations
2.
Liang, Wei, et al.. (2025). Main lobe interrupted sampling repeater jamming suppression based on parameter estimation and channel cancellation. Digital Signal Processing. 159. 104985–104985. 1 indexed citations
3.
Chen, Shiqi, et al.. (2025). Deformable Feature Fusion and Accurate Anchors Prediction for Lightweight SAR Ship Detector Based on Dynamic Hierarchical Model Pruning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 15019–15036. 3 indexed citations
4.
Zhang, Jun, Jalil Manafian, Santanu Raut, et al.. (2024). Study of two soliton and shock wave structures by weighted residual method and Hirota bilinear approach. Nonlinear Dynamics. 112(14). 12375–12391. 27 indexed citations
5.
Zhang, Jun, et al.. (2023). Chromogenesis of a black fluoran dye: Theoretical and spectral studies. Materials Letters. 355. 135572–135572. 1 indexed citations
6.
Ye, Tao, et al.. (2022). Dense and Small Object Detection in UAV-Vision Based on a Global-Local Feature Enhanced Network. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 52 indexed citations
7.
Guo, Yue, Shiqi Chen, Ronghui Zhan, Wei Wang, & Jun Zhang. (2022). LMSD-YOLO: A Lightweight YOLO Algorithm for Multi-Scale SAR Ship Detection. Remote Sensing. 14(19). 4801–4801. 85 indexed citations
8.
Chen, Shiqi, Ronghui Zhan, Wei Wang, & Jun Zhang. (2022). Domain Adaptation for Semi-Supervised Ship Detection in SAR Images. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 26 indexed citations
9.
Zhou, Yunxiao, Jinchuan Ju, Jun Zhang, et al.. (2022). Modular Integration of a Compact Ku-Band Relativistic Triaxial Klystron Amplifier Packaged With Permanent Magnets for High-Power Microwave Generation. IEEE Journal of the Electron Devices Society. 10. 212–223. 4 indexed citations
10.
Wang, Wei, et al.. (2022). Hierarchical Superpixel Segmentation for PolSAR Images Based on the Boruvka Algorithm. Remote Sensing. 14(19). 4721–4721. 3 indexed citations
11.
Ge, Xingjun, et al.. (2021). Research on a Low-Magnetic Field High-Efficiency Transit-Time Oscillator With Two Bunchers. IEEE Transactions on Plasma Science. 50(3). 656–661. 7 indexed citations
12.
Zhan, Ronghui, et al.. (2021). Joint tracking and classification of extended targets with complex shapes. Frontiers of Information Technology & Electronic Engineering. 22(6). 839–861. 3 indexed citations
13.
Dang, Fangchao, et al.. (2021). Efficiency Enhancement of a High Power Radial-Line Relativistic Klystron Amplifier Driven by Disk Intense Electron Beam. IEEE Transactions on Electron Devices. 68(11). 5834–5840. 4 indexed citations
14.
Chen, Shiqi, Ronghui Zhan, Wei Wang, & Jun Zhang. (2020). Learning Slimming SAR Ship Object Detector Through Network Pruning and Knowledge Distillation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 1267–1282. 88 indexed citations
15.
Zhou, Yunxiao, Jinchuan Ju, Jun Zhang, Wei Zhang, & Fangchao Dang. (2020). An improved X-band relativistic triaxial klystron amplifier with active suppression of asymmetric TM mode self-excitation. AIP Advances. 10(11). 2 indexed citations
16.
Zhan, Ronghui, et al.. (2019). Joint Tracking and Classification of Extended Targets Using Random Matrix and Bernoulli Filter for Time-Varying Scenarios. IEEE Access. 7. 129584–129603. 14 indexed citations
17.
Gao, Jingming, Hanwu Yang, Danni Zhu, et al.. (2018). Investigation on Adjustable Magnetic Pulse Compressor in Power Supply System. IEEE Transactions on Power Electronics. 34(2). 1540–1547. 26 indexed citations
18.
Zhang, Jun, et al.. (2017). RF breakdown in “cold” slow wave structures operating at travelling wave mode of TM01. Physics of Plasmas. 25(1). 4 indexed citations
19.
Zhu, Danni, et al.. (2015). An X-band high-impedance relativistic klystron amplifier with an annular explosive cathode. Physics of Plasmas. 22(11). 10 indexed citations
20.
Zhang, Jun. (2006). Advances in bionic study on insects' compound eyes. Optical Technique. 2 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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