Bowen Shi

142 total papers · 1.1k total citations
61 papers, 496 citations indexed

About

Bowen Shi is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Bowen Shi has authored 61 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Atomic and Molecular Physics, and Optics and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Bowen Shi's work include Quantum many-body systems (11 papers), Quantum and electron transport phenomena (7 papers) and Topological Materials and Phenomena (6 papers). Bowen Shi is often cited by papers focused on Quantum many-body systems (11 papers), Quantum and electron transport phenomena (7 papers) and Topological Materials and Phenomena (6 papers). Bowen Shi collaborates with scholars based in China, United States and Australia. Bowen Shi's co-authors include Isaac H. Kim, Wei-Ning Hsu, Yuan-Ming Lu, Abdelrahman Mohamed, Victor V. Albert, Kohtaro Kato, Gregory Shakhnarovich, Diane Brentari, Karen Livescu and Xiaohong Zhan and has published in prestigious journals such as Physical Review Letters, Chemosphere and Journal of Hydrology.

In The Last Decade

Bowen Shi

48 papers receiving 489 citations

Author Peers

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

Author Last Decade Papers Cites
Bowen Shi 152 110 79 63 62 61 496
Zhiwen Yuan 141 0.9× 59 0.5× 27 0.3× 8 0.1× 37 0.6× 81 611
Xiangli Zhang 150 1.0× 72 0.7× 33 0.4× 33 0.5× 14 0.2× 66 466
Bobo Wang 23 0.2× 35 0.3× 31 0.4× 5 0.1× 37 0.6× 52 457
Wenqi Li 219 1.4× 49 0.4× 57 0.7× 15 0.2× 36 0.6× 45 594
S. H. Oh 43 0.3× 106 1.0× 22 0.3× 16 0.3× 60 1.0× 47 540
Luise S. Couchman 75 0.5× 55 0.5× 90 1.1× 9 0.1× 45 0.7× 31 505
Matteo Cacciola 27 0.2× 41 0.4× 19 0.2× 25 0.4× 41 0.7× 63 547
Rubén Vázquez‐Medina 76 0.5× 88 0.8× 23 0.3× 64 1.0× 173 2.8× 86 576
M. S. Alam 42 0.3× 27 0.2× 28 0.4× 7 0.1× 95 1.5× 98 560
Muhammad Akmal Chaudhary 44 0.3× 69 0.6× 19 0.2× 36 0.6× 13 0.2× 89 529

Countries citing papers authored by Bowen Shi

Since Specialization
Citations

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

Fields of papers citing papers by Bowen Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bowen Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Bowen Shi. A scholar is included among the top collaborators of Bowen 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 Bowen Shi. Bowen 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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