Mingjun Shi

3.1k citations
74 papers · 2.3k · h-index 26

Impact in

Papers in

Mingjun Shi

67 papers receiving 2.2k citations

Peers

Mingjun Shi
Comparison fields: 5 of 136
  • Nephrology 260
  • Atomic and Molecular Physics, and Optics 659
  • Artificial Intelligence 721
  • Experimental and Cognitive Psychology 150
  • Statistical and Nonlinear Physics 108
Replace Yutaka Kano with:
Yutaka Kano Japan
Gordon W. Stewart United Kingdom
Hua Wu United States
Tatsuhiko N. Ikeda Japan
Mohammed Dakna Germany
Xiao-Fei Zhang China
Makoto Katori Japan
Juan Manuel Ramírez‐Anguita Spain
Ronald Ouwerkerk United States
Liyuan Guo China
Mingjun Shi relative to Yutaka Kano Japan Yutaka Kano's profile →
Citations per field
00.5×10×20×30×37.1×
Yutaka Kano · 1×
Citations per year

Countries citing papers authored by Mingjun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Mingjun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016228
2 2002207
3 2003182
4 2015156
5 2003115
6 2013105
7 200696
8 201360
9 201359
10 200855
11 201852
12 201549
13 201348
14 201248
15 202043
16 201041
17 201641
18 200141
19 201138
20 201935

About Mingjun Shi

Mingjun Shi is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Molecular Biology, Surgery and Pulmonary and Respiratory Medicine, having authored 74 papers that have together received 2.3k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (18 papers), Quantum Computing Algorithms and Architecture (16 papers), Quantum Mechanics and Applications (13 papers), Bladder and Urothelial Cancer Treatments (9 papers), Epigenetics and DNA Methylation (4 papers), Parathyroid Disorders and Treatments (4 papers), Prostate Cancer Treatment and Research (3 papers) and Quantum-Dot Cellular Automata (3 papers). The work is most often cited by research in Nephrology (260 citations), Atomic and Molecular Physics, and Optics (659 citations), Artificial Intelligence (721 citations), Experimental and Cognitive Psychology (150 citations) and Statistical and Nonlinear Physics (108 citations). Mingjun Shi has collaborated with scholars based in China, United States and France. Frequent co-authors include Jiangfeng Du, Jihui Wu, Xianyi Zhou, Rongdian Han, Hui Li, Xiaodong Xu, Orson W. Moe, Xiangyu Meng, Ming Chang Hu and Chi‐chung Hui. Their work appears in journals such as Physical Review A, Chinese Physics Letters, Physical Review Letters, Physics Letters A and Journal of the American Society of Nephrology.

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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