Gang Tian

14 papers and 447 indexed citations i.

About

Gang Tian is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Gang Tian has authored 14 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 2 papers in Molecular Biology. Recurrent topics in Gang Tian’s work include Topic Modeling (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Text and Document Classification Technologies (2 papers). Gang Tian is often cited by papers focused on Topic Modeling (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Text and Document Classification Technologies (2 papers). Gang Tian collaborates with scholars based in China, Australia and United States. Gang Tian's co-authors include Min Peng, Yanchun Zhang, Hua Wang, Qianqian Xie and Jiajia Huang and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and Neural Networks.

In The Last Decade

Fields of papers citing papers by Gang Tian

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 Gang Tian. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gang Tian may publish in the future.

Countries citing papers authored by Gang Tian

Since Specialization
Citations

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

Rankless by CCL
2025