Wei‐Min Shi

145 total papers · 2.0k total citations
107 papers, 1.5k citations indexed

About

Wei‐Min Shi is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wei‐Min Shi has authored 107 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Artificial Intelligence, 52 papers in Atomic and Molecular Physics, and Optics and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wei‐Min Shi's work include Quantum Information and Cryptography (67 papers), Quantum Computing Algorithms and Architecture (63 papers) and Quantum Mechanics and Applications (47 papers). Wei‐Min Shi is often cited by papers focused on Quantum Information and Cryptography (67 papers), Quantum Computing Algorithms and Architecture (63 papers) and Quantum Mechanics and Applications (47 papers). Wei‐Min Shi collaborates with scholars based in China, United States and Uzbekistan. Wei‐Min Shi's co-authors include Yi‐Hua Zhou, Yu‐Guang Yang, Xiu‐Bo Chen, Dan Li, Ju Tian, Zhichao Liu, Xin Liao, Jian Li, Weifeng Cao and Peng Xu and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Sensors.

In The Last Decade

Wei‐Min Shi

100 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wei‐Min Shi 1.0k 698 508 197 63 107 1.5k
Yi‐Hua Zhou 1.1k 1.1× 786 1.1× 542 1.1× 203 1.0× 64 1.0× 114 1.7k
Roberto Torroba 539 0.5× 822 1.2× 1.8k 3.6× 121 0.6× 23 0.4× 125 2.2k
Amnon Ta‐Shma 1.3k 1.2× 376 0.5× 107 0.2× 746 3.8× 28 0.4× 83 1.6k
Qin Li 965 1.0× 745 1.1× 188 0.4× 64 0.3× 20 0.3× 80 1.3k
Wenqi He 248 0.2× 375 0.5× 1.2k 2.3× 41 0.2× 13 0.2× 108 1.6k
Nan Jiang 1.2k 1.2× 166 0.2× 459 0.9× 599 3.0× 27 0.4× 62 1.5k
Eleanor Rieffel 1.7k 1.6× 463 0.7× 208 0.4× 567 2.9× 28 0.4× 85 2.1k
Guo-Zheng Sun 577 0.6× 490 0.7× 56 0.1× 99 0.5× 91 1.4× 39 1.3k
Xuelin Yang 316 0.3× 423 0.6× 391 0.8× 66 0.3× 154 2.4× 147 1.7k
Mohsen Machhout 608 0.6× 61 0.1× 662 1.3× 113 0.6× 107 1.7× 185 1.3k

Countries citing papers authored by Wei‐Min Shi

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Min Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei‐Min Shi

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

All Works

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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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