Kaize Ding

37 papers and 504 indexed citations i.

About

Kaize Ding is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kaize Ding has authored 37 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 9 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kaize Ding’s work include Advanced Graph Neural Networks (22 papers), Topic Modeling (12 papers) and Domain Adaptation and Few-Shot Learning (12 papers). Kaize Ding is often cited by papers focused on Advanced Graph Neural Networks (22 papers), Topic Modeling (12 papers) and Domain Adaptation and Few-Shot Learning (12 papers). Kaize Ding collaborates with scholars based in United States, China and Australia. Kaize Ding's co-authors include Huan Liu, Jianling Wang, Jundong Li, Hanghang Tong, Kai Shu, Zhe Xu, Dingcheng Li, Chenghao Liu, Mansooreh Karami and Tahora H. Nazer and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Knowledge and Information Systems and Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery.

In The Last Decade

Co-authorship network of co-authors of Kaize Ding i

Fields of papers citing papers by Kaize Ding

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

Countries citing papers authored by Kaize Ding

Since Specialization
Citations

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

Rankless by CCL
2025