Kun Ding

33 papers and 546 indexed citations i.

About

Kun Ding is a scholar working on Molecular Biology, Statistics, Probability and Uncertainty and Materials Chemistry. According to data from OpenAlex, Kun Ding has authored 33 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Statistics, Probability and Uncertainty and 4 papers in Materials Chemistry. Recurrent topics in Kun Ding’s work include scientometrics and bibliometrics research (6 papers), Advanced Text Analysis Techniques (3 papers) and Computational Drug Discovery Methods (3 papers). Kun Ding is often cited by papers focused on scientometrics and bibliometrics research (6 papers), Advanced Text Analysis Techniques (3 papers) and Computational Drug Discovery Methods (3 papers). Kun Ding collaborates with scholars based in China, United States and Australia. Kun Ding's co-authors include Zhiqiang Zou, Xianwen Wang, Wang Cheng-ru, Bo Wang, Xinran Wang, Shengbo Liu, Di Liu, Wenqing Li, Xiaoling Sun and Jing Xu and has published in prestigious journals such as Journal of Hazardous Materials, Biochemical and Biophysical Research Communications and Radiotherapy and Oncology.

In The Last Decade

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

Fields of papers citing papers by Kun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun 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 Kun Ding. The network helps show where Kun Ding may publish in the future.

Countries citing papers authored by Kun Ding

Since Specialization
Citations

This map shows the geographic impact of Kun 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 Kun Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun 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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2025