Long Bai

31 papers and 187 indexed citations i.

About

Long Bai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Long Bai has authored 31 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Long Bai’s work include Topic Modeling (8 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 (8 papers), Advanced Text Analysis Techniques (3 papers) and Natural Language Processing Techniques (3 papers). Long Bai collaborates with scholars based in China, Hong Kong and United Kingdom. Long Bai's co-authors include Jiafeng Guo, Xueqi Cheng, Saiping Guan, Xiaolong Jin, Enhong Chen, Zixuan Li, Le Wu, Yong Ge, Zhenya Huang and Weihua Peng and has published in prestigious journals such as Fuel, Renewable Energy and Environmental Research.

In The Last Decade

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

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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2025