Long Bai

54 total papers · 425 total citations
22 papers, 122 citations indexed

About

Long Bai is a scholar working on Computer Vision and Pattern Recognition, Oncology and Computational Mechanics. According to data from OpenAlex, Long Bai has authored 22 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Oncology and 5 papers in Computational Mechanics. Recurrent topics in Long Bai’s work include Colorectal Cancer Screening and Detection (5 papers), Gastrointestinal Bleeding Diagnosis and Treatment (5 papers) and Surface Roughness and Optical Measurements (3 papers). Long Bai is often cited by papers focused on Colorectal Cancer Screening and Detection (5 papers), Gastrointestinal Bleeding Diagnosis and Treatment (5 papers) and Surface Roughness and Optical Measurements (3 papers). Long Bai collaborates with scholars based in China, Hong Kong and Singapore. Long Bai's co-authors include Hongliang Ren, Mobarakol Islam, Yanan Wu, Jianfeng Xu, Shouliang Qi, Manal Alghamdi, Hong Yan, Li Liu, An Wang and Mohamed Abdel-Mottaleb and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Frontiers in Physiology and Medical Image Analysis.

Co-authorship network of co-authors of Long Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Long Bai. A scholar is included among the top collaborators of Long 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 Long Bai. Long Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Long Bai

18 papers receiving 122 citations

Fields of papers citing papers by Long Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Bai

Since Specialization
Citations

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