Long Bai

138 total papers · 690 total citations
24 papers, 134 citations indexed

About

Long Bai is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Long Bai has authored 24 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Long Bai’s work include Topic Modeling (5 papers), Advanced Text Analysis Techniques (3 papers) and Natural Language Processing Techniques (3 papers). Long Bai is often cited by papers focused on Topic Modeling (5 papers), Advanced Text Analysis Techniques (3 papers) and Natural Language Processing Techniques (3 papers). Long Bai collaborates with scholars based in China, Indonesia and Hong Kong. Long Bai's co-authors include Enhong Chen, Xiaolong Jin, Xueqi Cheng, Saiping Guan, Jiafeng Guo, Le Wu, Qi Liu, Yong Ge, Zixuan Li and Zhenya Huang and has published in prestigious journals such as Fuel, Renewable Energy and Environmental Research.

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

20 papers receiving 131 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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