Dian Yu

24 papers and 227 indexed citations i.

About

Dian Yu is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Dian Yu has authored 24 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Dian Yu’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (2 papers). Dian Yu is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (2 papers). Dian Yu collaborates with scholars based in China, United States and Macao. Dian Yu's co-authors include Maohong Cao, Fei Ding, Cheng‐Xin Gong, Xiaomin Yin, Xiaosong Gu, Fei Liu, Khalid Iqbal, Nana Jin, Xiaoyuan Zhang and Shuming Shi and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Ecological Indicators.

In The Last Decade

Co-authorship network of co-authors of Dian Yu i

Fields of papers citing papers by Dian Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dian Yu

Since Specialization
Citations

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