Long Bai

31 papers and 160 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 160 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 Xiaolong Jin, Saiping Guan, Xueqi Cheng, Jiafeng Guo and Zixuan Li and has published in prestigious journals such as Fuel, Renewable Energy and Environmental Research.

In The Last Decade

Fields of papers citing papers by Long Bai

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Long Bai. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025