Anjie Fang

18 papers and 311 indexed citations i.

About

Anjie Fang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Anjie Fang has authored 18 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Statistical and Nonlinear Physics and 4 papers in Information Systems. Recurrent topics in Anjie Fang’s work include Topic Modeling (10 papers), Complex Network Analysis Techniques (7 papers) and Natural Language Processing Techniques (7 papers). Anjie Fang is often cited by papers focused on Topic Modeling (10 papers), Complex Network Analysis Techniques (7 papers) and Natural Language Processing Techniques (7 papers). Anjie Fang collaborates with scholars based in United States, United Kingdom and Japan. Anjie Fang's co-authors include Shervin Malmasi, Oleg Rokhlenko, Besnik Fetahu, Philip Habel, Craig Macdonald, Iadh Ounis, Sudipta Kar, Tao Meng, Nut Limsopatham and Helmut Prendinger and has published in prestigious journals such as IEEE Access, Information Communication & Society and SAGE Open.

In The Last Decade

Co-authorship network of co-authors of Anjie Fang i

Fields of papers citing papers by Anjie Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anjie Fang

Since Specialization
Citations

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