Bai-Qi Jin

31 total papers · 724 total citations
17 papers, 471 citations indexed

About

Bai-Qi Jin is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Bai-Qi Jin has authored 17 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atomic and Molecular Physics, and Optics, 11 papers in Artificial Intelligence and 3 papers in Condensed Matter Physics. Recurrent topics in Bai-Qi Jin's work include Quantum Information and Cryptography (11 papers), Quantum and electron transport phenomena (7 papers) and Quantum many-body systems (6 papers). Bai-Qi Jin is often cited by papers focused on Quantum Information and Cryptography (11 papers), Quantum and electron transport phenomena (7 papers) and Quantum many-body systems (6 papers). Bai-Qi Jin collaborates with scholars based in China, United States and United Kingdom. Bai-Qi Jin's co-authors include V. E. Korepin, Nian-Quan Jiang, Yi Zhang, Jacques H. H. Perk, Sougato Bose, Helen Au-Yang, Xiaolong Yang, Menglin Sun, Shenzhen Xu and Qingkang Wang and has published in prestigious journals such as Nature Communications, Physical Review A and Europhysics Letters (EPL).

In The Last Decade

Bai-Qi Jin

16 papers receiving 449 citations

Author Peers

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

Author Last Decade Papers Cites
Bai-Qi Jin 434 245 107 103 32 17 471
Bo-Bo Wei 438 1.0× 126 0.5× 207 1.9× 109 1.1× 19 0.6× 21 517
M. Sirugue 261 0.6× 110 0.4× 160 1.5× 33 0.3× 43 1.3× 28 451
Oliver Buerschaper 360 0.8× 115 0.5× 44 0.4× 158 1.5× 65 2.0× 14 405
Andrew J. Ferris 438 1.0× 314 1.3× 48 0.4× 54 0.5× 8 0.3× 19 490
Silvia Pappalardi 473 1.1× 199 0.8× 246 2.3× 54 0.5× 8 0.3× 21 525
Katja Klobas 459 1.1× 209 0.9× 159 1.5× 107 1.0× 48 1.5× 20 524
Emanuele Tirrito 381 0.9× 216 0.9× 93 0.9× 56 0.5× 14 0.4× 25 492
Antonio Di Lorenzo 303 0.7× 193 0.8× 115 1.1× 73 0.7× 79 2.5× 24 405
Kazumitsu Sakai 361 0.8× 53 0.2× 83 0.8× 230 2.2× 65 2.0× 35 487
Davide Vodola 490 1.1× 177 0.7× 81 0.8× 193 1.9× 19 0.6× 24 552

Countries citing papers authored by Bai-Qi Jin

Since Specialization
Citations

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

Fields of papers citing papers by Bai-Qi Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bai-Qi 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 Bai-Qi Jin. The network helps show where Bai-Qi Jin may publish in the future.

Co-authorship network of co-authors of Bai-Qi Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Bai-Qi Jin. A scholar is included among the top collaborators of Bai-Qi 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 Bai-Qi Jin. Bai-Qi Jin 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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