Nan Ding

22 papers and 1.3k indexed citations i.

About

Nan Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Nan Ding has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Nan Ding’s work include Topic Modeling (9 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (5 papers). Nan Ding is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (5 papers). Nan Ding collaborates with scholars based in United States, China and Australia. Nan Ding's co-authors include Radu Soricut, Piyush Sharma, Sebastian Goodman, Soravit Changpinyo, Zhijian Ou, Ye Zhang, Xiaoyang Liu, Kevin Murphy, Hartmut Neven and Jia Deng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Automation in Construction and Applied Intelligence.

In The Last Decade

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

Fields of papers citing papers by Nan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nan Ding

Since Specialization
Citations

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