Baisen Cong

7 papers and 395 indexed citations i.

About

Baisen Cong is a scholar working on Molecular Biology, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Baisen Cong has authored 7 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Baisen Cong’s work include Computational Drug Discovery Methods (4 papers), Advanced Neural Network Applications (3 papers) and Brain Tumor Detection and Classification (3 papers). Baisen Cong is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Advanced Neural Network Applications (3 papers) and Brain Tumor Detection and Classification (3 papers). Baisen Cong collaborates with scholars based in United States, China and Canada. Baisen Cong's co-authors include Zhiqin Zhu, Guanqiu Qi, Yuanyuan Li, Yü Liu, Litao Bai, Neal Mazur, Xinbo Gao, Yifei Gong, Yuanyuan Li and Xin Zheng and has published in prestigious journals such as Expert Systems with Applications, Information Fusion and Computers in Biology and Medicine.

In The Last Decade

Co-authorship network of co-authors of Baisen Cong i

Fields of papers citing papers by Baisen Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Baisen Cong

Since Specialization
Citations

This map shows the geographic impact of Baisen Cong'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 Baisen Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baisen Cong 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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2025