Dianqi Li

24 papers and 2.1k indexed citations i.

About

Dianqi Li is a scholar working on Artificial Intelligence, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Dianqi Li has authored 24 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Materials Chemistry. Recurrent topics in Dianqi Li’s work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Multimodal Machine Learning Applications (2 papers). Dianqi Li is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Multimodal Machine Learning Applications (2 papers). Dianqi Li collaborates with scholars based in China, United States and United Kingdom. Dianqi Li's co-authors include Yi Xie, Jinlong Yang, Qiquan Luo, Yue Lin, Shan Gao, Yongfu Sun, Xingchen Jiao, Wenhua Zhang, Ming–Ting Sun and Yizhe Zhang and has published in prestigious journals such as Nature, Physical Review Letters and ACS Nano.

In The Last Decade

Co-authorship network of co-authors of Dianqi Li i

Fields of papers citing papers by Dianqi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dianqi Li

Since Specialization
Citations

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