Min Jiang

1.1k citations
77 papers · 830 · h-index 17

Impact in

Papers in

Min Jiang

66 papers receiving 793 citations

Peers

Min Jiang
Comparison fields: 5 of 51
  • Artificial Intelligence 504
  • Atomic and Molecular Physics, and Optics 467
  • Mechanics of Materials 204
  • Computational Theory and Mathematics 92
  • Statistical and Nonlinear Physics 34
Replace Jean Vianei Leite with:
Jean Vianei Leite Brazil
Garuda FUJII Japan
Lei Du China
Riccardo Torchio Italy
K.R. Shao China
Amirreza Khodadadian Austria
I. Tičar Slovenia
Davi Correia Brazil
G. Aiello Italy
Min Jiang relative to Jean Vianei Leite Brazil Jean Vianei Leite's profile →
Citations per field
00.5×5.7×
Jean Vianei Leite · 1×
Citations per year

Countries citing papers authored by Min Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Min Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Min Jiang, 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 Min Jiang Line = papers co-authored together Min Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200271
2 200164
3 200160
4 200256
5 201344
6 201235
7 201828
8 201327
9 202227
10 201722
11 201721
12 201319
13 201219
14 200917
15 201317
16 200717
17 201116
18 201015
19 201814
20 201613

About Min Jiang

Min Jiang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Mechanics of Materials, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 77 papers that have together received 830 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (63 papers), Quantum Computing Algorithms and Architecture (57 papers), Quantum Mechanics and Applications (47 papers), Quantum optics and atomic interactions (6 papers), Composite Material Mechanics (4 papers), Mechanical Behavior of Composites (3 papers), Quantum and electron transport phenomena (3 papers) and Numerical methods in engineering (2 papers). The work is most often cited by research in Artificial Intelligence (504 citations), Atomic and Molecular Physics, and Optics (467 citations), Mechanics of Materials (204 citations), Computational Theory and Mathematics (92 citations) and Statistical and Nonlinear Physics (34 citations). Min Jiang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Iwona Jasiuk, Martin Ostoja‐Starzewski, Daoyi Dong, Shunlong Luo, Tao Cai, Hui Li, Zengke Zhang, Khalid I. Alzebdeh, Frank Jiang and Shibei Xue. Their work appears in journals such as Quantum Information Processing, Physical review. A, Journal of the Optical Society of America B, Chaos Solitons & Fractals and Optik.

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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