Bing Bai

50 papers and 580 indexed citations i.

About

Bing Bai is a scholar working on Radiology, Nuclear Medicine and Imaging, Information Systems and Artificial Intelligence. According to data from OpenAlex, Bing Bai has authored 50 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Information Systems and 11 papers in Artificial Intelligence. Recurrent topics in Bing Bai’s work include Medical Imaging Techniques and Applications (14 papers), Recommender Systems and Techniques (9 papers) and QoS-Aware Web Services Composition and Semantic Matching (6 papers). Bing Bai is often cited by papers focused on Medical Imaging Techniques and Applications (14 papers), Recommender Systems and Techniques (9 papers) and QoS-Aware Web Services Composition and Semantic Matching (6 papers). Bing Bai collaborates with scholars based in China, United States and Russia. Bing Bai's co-authors include Yushun Fan, Jia Zhang, Richard M. Leahy, Wei Tan, Arion F. Chatziioannou, Quanzheng Li, Wentao Zhu, Peter S. Conti, Anne M. Smith and Kun Bai 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

Co-authorship network of co-authors of Bing Bai i

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.

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).

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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