Ying Ding

311 papers and 8.8k indexed citations i.

About

Ying Ding is a scholar working on Artificial Intelligence, Information Systems and Statistics, Probability and Uncertainty. According to data from OpenAlex, Ying Ding has authored 311 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Artificial Intelligence, 48 papers in Information Systems and 44 papers in Statistics, Probability and Uncertainty. Recurrent topics in Ying Ding’s work include scientometrics and bibliometrics research (44 papers), Complex Network Analysis Techniques (40 papers) and Biomedical Text Mining and Ontologies (23 papers). Ying Ding is often cited by papers focused on scientometrics and bibliometrics research (44 papers), Complex Network Analysis Techniques (40 papers) and Biomedical Text Mining and Ontologies (23 papers). Ying Ding collaborates with scholars based in China, United States and Singapore. Ying Ding's co-authors include Erjia Yan, Schubert Foo, Ronald Rousseau, Dietmar Wolfram, Gobinda Chowdhury, Blaise Cronin, David Wild, Cassidy R. Sugimoto, Staša Milojević and Bin Chen and has published in prestigious journals such as Journal of the American Chemical Society, Nature Materials and Nature Communications.

In The Last Decade

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

Fields of papers citing papers by Ying Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Ding

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025