Mingi Ji

8 papers and 229 indexed citations i.

About

Mingi Ji is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Mingi Ji has authored 8 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Mingi Ji’s work include Recommender Systems and Techniques (3 papers), Topic Modeling (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Mingi Ji is often cited by papers focused on Recommender Systems and Techniques (3 papers), Topic Modeling (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Mingi Ji collaborates with scholars based in South Korea and Canada. Mingi Ji's co-authors include Il‐Chul Moon, Byeongho Heo, Gibeom Park, Seungjae Shin, Kyungwoo Song, Dae‐Hyun Nam, Wonseok Hwang, Jinkyoo Park and Sungeun Kim and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Proceedings of the AAAI Conference on Artificial Intelligence and 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

In The Last Decade

Co-authorship network of co-authors of Mingi Ji i

Fields of papers citing papers by Mingi Ji

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

Countries citing papers authored by Mingi Ji

Since Specialization
Citations

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

Rankless by CCL
2025