Pengda Qin

13 papers and 346 indexed citations i.

About

Pengda Qin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Pengda Qin has authored 13 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Management Science and Operations Research. Recurrent topics in Pengda Qin’s work include Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Pengda Qin is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Pengda Qin collaborates with scholars based in China, United States and United Kingdom. Pengda Qin's co-authors include William Yang Wang, Weiran Xu, Weiran Xu, Jun Guo, Xin Wang, Qi Liu, Ting Liu, William Yang Wang, Chunyun Zhang and Shaolei Wang and has published in prestigious journals such as Neurocomputing, Theory and applications of categories and Journal of Control Science and Engineering.

In The Last Decade

Co-authorship network of co-authors of Pengda Qin i

Fields of papers citing papers by Pengda Qin

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

Countries citing papers authored by Pengda Qin

Since Specialization
Citations

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

Rankless by CCL
2025