Heng Ji

113 papers and 1.6k indexed citations i.

About

Heng Ji is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Heng Ji has authored 113 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 13 papers in Molecular Biology. Recurrent topics in Heng Ji’s work include Topic Modeling (78 papers), Natural Language Processing Techniques (63 papers) and Advanced Text Analysis Techniques (17 papers). Heng Ji is often cited by papers focused on Topic Modeling (78 papers), Natural Language Processing Techniques (63 papers) and Advanced Text Analysis Techniques (17 papers). Heng Ji collaborates with scholars based in United States, China and Germany. Heng Ji's co-authors include Xiaoman Pan, Joel Nothman, Kevin Knight, Boliang Zhang, Jiawei Han, Jonathan May, ChengXiang Zhai, Tuan Lai, Yunyi Zhang and Guo-Jun Qi and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Heng Ji i

Fields of papers citing papers by Heng Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Heng Ji

Since Specialization
Citations

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