Guangfeng Lin

41 papers and 526 indexed citations i.

About

Guangfeng Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Guangfeng Lin has authored 41 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 6 papers in Media Technology. Recurrent topics in Guangfeng Lin’s work include Advanced Image and Video Retrieval Techniques (11 papers), Human Pose and Action Recognition (9 papers) and Image Retrieval and Classification Techniques (8 papers). Guangfeng Lin is often cited by papers focused on Advanced Image and Video Retrieval Techniques (11 papers), Human Pose and Action Recognition (9 papers) and Image Retrieval and Classification Techniques (8 papers). Guangfeng Lin collaborates with scholars based in China, United States and United Kingdom. Guangfeng Lin's co-authors include Xiaobing Kang, Fan Zhao, Yajun Chen, Erhu Zhang, Guoliang Fan, Bangyong Sun, Kelu Wang, Congjun Cao, Tingting Wang and Jing Wang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Guangfeng Lin i

Fields of papers citing papers by Guangfeng Lin

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

Countries citing papers authored by Guangfeng Lin

Since Specialization
Citations

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

Rankless by CCL
2025