Di He

23 papers and 466 indexed citations i.

About

Di He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Di He has authored 23 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Di He’s work include Topic Modeling (6 papers), CO2 Sequestration and Geologic Interactions (5 papers) and Natural Language Processing Techniques (5 papers). Di He is often cited by papers focused on Topic Modeling (6 papers), CO2 Sequestration and Geologic Interactions (5 papers) and Natural Language Processing Techniques (5 papers). Di He collaborates with scholars based in China, United States and United Kingdom. Di He's co-authors include Ruina Xu, Peixue Jiang, Tie‐Yan Liu, Guolin Ke, Shengjie Luo, Tianle Cai, Shuxin Zheng, Yanming Shen, Chengxuan Ying and Rong Li and has published in prestigious journals such as Accounts of Chemical Research, Environmental Science & Technology and Electronics Letters.

In The Last Decade

Co-authorship network of co-authors of Di He i

Fields of papers citing papers by Di He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Di He

Since Specialization
Citations

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