Jian–Ming Jin

438 total citations
6 papers, 325 citations indexed

About

Jian–Ming Jin is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Civil and Structural Engineering. According to data from OpenAlex, Jian–Ming Jin has authored 6 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Atomic and Molecular Physics, and Optics, 5 papers in Electrical and Electronic Engineering and 1 paper in Civil and Structural Engineering. Recurrent topics in Jian–Ming Jin's work include Electromagnetic Scattering and Analysis (5 papers), Electromagnetic Simulation and Numerical Methods (5 papers) and Electromagnetic Compatibility and Measurements (3 papers). Jian–Ming Jin is often cited by papers focused on Electromagnetic Scattering and Analysis (5 papers), Electromagnetic Simulation and Numerical Methods (5 papers) and Electromagnetic Compatibility and Measurements (3 papers). Jian–Ming Jin collaborates with scholars based in United States. Jian–Ming Jin's co-authors include Weng Cho Chew, Jiming Song, Xin‐Qing Sheng, John L. Volakis, Dan Jiao, Eric Michielssen, Ali E. Yılmaz, Daniel S. Weile and K.C. Donepudi and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, IEEE Transactions on Antennas and Propagation and Electromagnetics.

In The Last Decade

Jian–Ming Jin

6 papers receiving 304 citations

Peers

Jian–Ming Jin
Comparison fields: 5 of 34
  • Atomic and Molecular Physics, and Optics 276
  • Electrical and Electronic Engineering 264
  • Aerospace Engineering 112
  • Mechanics of Materials 50
  • Ocean Engineering 30
Replace K.C. Donepudi with:
K.C. Donepudi United States
Yeow-Beng Gan Singapore
Zhi Guo Qian China
Zheng Lou United States
Weng Cho Chew United States
Kenneth K. Mei Hong Kong
T.G. Jurgens United States
Mark Prouty United States
Ming‐Lin Yang China
Yaniv Brick Israel
K.C. Donepudi United States View profile →
Citations per field, relative to Jian–Ming Jin
Jian–Ming Jin · 1×
Citations per year, relative to Jian–Ming Jin
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Countries citing papers authored by Jian–Ming Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jian–Ming Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jian–Ming Jin. 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 Jian–Ming Jin. The network helps show where Jian–Ming Jin may publish in the future.

Co-authorship network of co-authors of Jian–Ming Jin

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

All Works

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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