Ju Fan

68 papers and 1.3k indexed citations i.

About

Ju Fan is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Ju Fan has authored 68 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 21 papers in Management Science and Operations Research and 19 papers in Information Systems. Recurrent topics in Ju Fan’s work include Data Quality and Management (20 papers), Mobile Crowdsensing and Crowdsourcing (15 papers) and Topic Modeling (14 papers). Ju Fan is often cited by papers focused on Data Quality and Management (20 papers), Mobile Crowdsensing and Crowdsourcing (15 papers) and Topic Modeling (14 papers). Ju Fan collaborates with scholars based in China, Singapore and United States. Ju Fan's co-authors include Kian‐Lee Tan, Yuchen Li, Guoliang Li, Yanhao Wang, Xiaoyong Du, Meihui Zhang, Jianhua Feng, Jinhui Tang, Shuo Chen and Chengliang Chai and has published in prestigious journals such as Journal of Medical Internet Research, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Multimedia.

In The Last Decade

Co-authorship network of co-authors of Ju Fan i

Fields of papers citing papers by Ju Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ju Fan

Since Specialization
Citations

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