Qi Jun Zhang

456 total citations
10 papers, 349 citations indexed

About

Qi Jun Zhang is a scholar working on Electrical and Electronic Engineering, Surgery and Civil and Structural Engineering. According to data from OpenAlex, Qi Jun Zhang has authored 10 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 1 paper in Surgery and 1 paper in Civil and Structural Engineering. Recurrent topics in Qi Jun Zhang's work include Microwave Engineering and Waveguides (6 papers), Electromagnetic Simulation and Numerical Methods (3 papers) and Electromagnetic Compatibility and Noise Suppression (3 papers). Qi Jun Zhang is often cited by papers focused on Microwave Engineering and Waveguides (6 papers), Electromagnetic Simulation and Numerical Methods (3 papers) and Electromagnetic Compatibility and Noise Suppression (3 papers). Qi Jun Zhang collaborates with scholars based in China, Canada and United Kingdom. Qi Jun Zhang's co-authors include Feng Feng, Chao Zhang, J.W. Bandler, Venu-Madhav-Reddy Gongal-Reddy, Jianjun Xu, Runtao Ding, M.C.E. Yagoub, Martin Goddard, Catherine M. Shanahan and Martin R. Bennett and has published in prestigious journals such as Arteriosclerosis Thrombosis and Vascular Biology, IEEE Transactions on Microwave Theory and Techniques and IEEE Microwave and Wireless Components Letters.

In The Last Decade

Qi Jun Zhang

8 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qi Jun Zhang China 7 268 94 28 25 17 10 349
Hiroyuki Yamagishi Japan 10 283 1.1× 23 0.2× 17 0.6× 26 1.0× 16 0.9× 48 506
Jingzhi Zhang China 12 267 1.0× 24 0.3× 70 2.5× 3 0.1× 57 3.4× 46 424
Fan Wei China 12 367 1.4× 80 0.9× 69 2.5× 6 0.2× 41 2.4× 34 467
Atul Kumar India 15 360 1.3× 50 0.5× 21 0.8× 14 0.6× 29 1.7× 72 563
Jing Xia China 17 1.0k 3.9× 78 0.8× 30 1.1× 10 0.4× 39 2.3× 103 1.2k
Yiran Wei China 13 785 2.9× 42 0.4× 14 0.5× 2 0.1× 33 1.9× 30 868
Ashraf S. Mohra Egypt 11 284 1.1× 235 2.5× 6 0.2× 6 0.2× 28 1.6× 54 394
Xing Rao United States 10 164 0.6× 111 1.2× 28 1.0× 5 0.2× 28 1.6× 26 339

Countries citing papers authored by Qi Jun Zhang

Since Specialization
Citations

This map shows the geographic impact of Qi 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 Qi 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 Qi Jun Zhang more than expected).

Fields of papers citing papers by Qi Jun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Jun Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Jun Zhang. A scholar is included among the top collaborators of Qi 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 Qi Jun Zhang. Qi Jun Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Cao, Yazi, et al.. (2025). A fully automated and fast parametric AI modeling method for integrated passive components. Microelectronics Journal. 166. 106920–106920.
2.
Gao, Jiawei, Zhaojin Rong, Qi Jun Zhang, et al.. (2024). Influence of upstream solar wind on magnetic field distribution in the Martian nightside ionosphere. Earth and Planetary Physics. 8(5). 728–741.
3.
Zhang, Chao, Weicong Na, Qi Jun Zhang, & J.W. Bandler. (2016). Fast yield estimation and optimization of microwave filters using a cognition-driven formulation of space mapping. 1–4. 18 indexed citations
4.
Zhang, Chao, Feng Feng, Venu-Madhav-Reddy Gongal-Reddy, Qi Jun Zhang, & J.W. Bandler. (2015). Cognition-Driven Formulation of Space Mapping for Equal-Ripple Optimization of Microwave Filters. IEEE Transactions on Microwave Theory and Techniques. 63(7). 2154–2165. 136 indexed citations
5.
Zhang, Qi Jun, et al.. (2014). Automated Knowledge-Based Neural Network Modeling for Microwave Applications. IEEE Microwave and Wireless Components Letters. 24(7). 499–501. 46 indexed citations
6.
Zhang, Chao, Feng Feng, & Qi Jun Zhang. (2013). EM optimization using coarse and fine mesh space mapping. 824–826. 15 indexed citations
7.
Şimşek, Murat, Qi Jun Zhang, Humayun Kabir, Yazi Cao, & Neslihan Serap Şengör. (2011). The recent developments in microwave design. International Journal of Mathematical Modelling and Numerical Optimisation. 2(2). 213–213. 10 indexed citations
8.
Xu, Jianjun, M.C.E. Yagoub, Runtao Ding, & Qi Jun Zhang. (2003). Exact adjoint sensitivity analysis for neural-based microwave modeling and design. IEEE Transactions on Microwave Theory and Techniques. 51(1). 226–237. 83 indexed citations
9.
Zhang, Qi Jun, Martin Goddard, Catherine M. Shanahan, Leonard M. Shapiro, & Martin R. Bennett. (2002). Differential Gene Expression in Vascular Smooth Muscle Cells in Primary Atherosclerosis and In Stent Stenosis in Humans. Arteriosclerosis Thrombosis and Vascular Biology. 22(12). 2030–2036. 40 indexed citations
10.
Zhang, Qi Jun, et al.. (1994). Time domain sensitivity of high‐speed VLSI interconnects. International Journal of Circuit Theory and Applications. 22(6). 479–511. 1 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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