Kaize Ding

140 total papers · 2.8k total citations
23 papers, 309 citations indexed

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 23 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 5 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kaize Ding’s work include Advanced Graph Neural Networks (14 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Topic Modeling (6 papers). Kaize Ding is often cited by papers focused on Advanced Graph Neural Networks (14 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Topic Modeling (6 papers). Kaize Ding collaborates with scholars based in United States, China and Australia. Kaize Ding's co-authors include Huan Liu, Hanghang Tong, Zhe Xu, Kai Shu, Amrita Bhattacharjee, Mansooreh Karami, Tahora H. Nazer, Jundong Li, Jianling Wang and Chuxu Zhang and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Knowledge and Information Systems and AI Magazine.

Co-authorship network of co-authors of Kaize Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Kaize Ding. A scholar is included among the top collaborators of Kaize Ding based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaize Ding. Kaize Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Kaize Ding

20 papers receiving 302 citations

Fields of papers citing papers by Kaize Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaize Ding. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kaize Ding. 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 uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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