Bing Bai

103 total papers · 1.3k total citations
73 papers, 891 citations indexed

About

Bing Bai is a scholar working on Artificial Intelligence, Information Systems and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Bing Bai has authored 73 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 19 papers in Information Systems and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Bing Bai's work include Medical Imaging Techniques and Applications (17 papers), Recommender Systems and Techniques (14 papers) and Advanced MRI Techniques and Applications (8 papers). Bing Bai is often cited by papers focused on Medical Imaging Techniques and Applications (17 papers), Recommender Systems and Techniques (14 papers) and Advanced MRI Techniques and Applications (8 papers). Bing Bai collaborates with scholars based in China, United States and Singapore. Bing Bai's co-authors include Yushun Fan, Jia Zhang, Wei Tan, Richard M. Leahy, Arion F. Chatziioannou, Quanzheng Li, Peter D. Esser, Kun Bai, Anne M. Smith and Wentao Zhu and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Materials.

In The Last Decade

Bing Bai

66 papers receiving 868 citations

Author Peers

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

Author Last Decade Papers Cites
Bing Bai 277 217 201 146 135 73 891
Nan Li 66 0.2× 289 1.3× 303 1.5× 85 0.6× 49 0.4× 91 1000
Yuan Tian 262 0.9× 99 0.5× 419 2.1× 197 1.3× 85 0.6× 66 1.0k
Yi Yang 71 0.3× 44 0.2× 139 0.7× 84 0.6× 191 1.4× 84 718
Jing Li 94 0.3× 110 0.5× 159 0.8× 14 0.1× 35 0.3× 37 987
Can Zhao 369 1.3× 42 0.2× 176 0.9× 29 0.2× 136 1.0× 46 839
Auri Marcelo Rizzo Vincenzi 88 0.3× 341 1.6× 80 0.4× 70 0.5× 121 0.9× 79 709
Oya Beyan 227 0.8× 115 0.5× 399 2.0× 6 0.0× 77 0.6× 63 979
Kenichi Hagihara 86 0.3× 199 0.9× 139 0.7× 40 0.3× 55 0.4× 101 928
Xiaoliang Xu 126 0.5× 34 0.2× 87 0.4× 13 0.1× 54 0.4× 61 743
Sang-Hun Lee 103 0.4× 33 0.2× 140 0.7× 13 0.1× 44 0.3× 128 852

Countries citing papers authored by Bing Bai

Since Specialization
Citations

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

Fields of papers citing papers by Bing Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Bai

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