Hailong Jin

About

Hailong Jin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Global and Planetary Change. According to data from OpenAlex, Hailong Jin has authored 26 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Global and Planetary Change. Recurrent topics in Hailong Jin’s work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Rangeland Management and Livestock Ecology (3 papers). Hailong Jin is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Rangeland Management and Livestock Ecology (3 papers). Hailong Jin collaborates with scholars based in China, United States and Germany. Hailong Jin's co-authors include Richard Teague, Lei Hou, Juanzi Li and Urs P. Kreuter and has published in prestigious journals such as Journal of Environmental Management, IEEE Transactions on Robotics and BMJ Open.

In The Last Decade

Fields of papers citing papers by Hailong Jin

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

Countries citing papers authored by Hailong Jin

Since Specialization

Citations

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

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