Cong Yu

138 papers and 2.9k indexed citations i.

About

Cong Yu is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Cong Yu has authored 138 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 39 papers in Information Systems and 26 papers in Management Science and Operations Research. Recurrent topics in Cong Yu’s work include Web Data Mining and Analysis (24 papers), Data Quality and Management (23 papers) and Advanced Database Systems and Queries (20 papers). Cong Yu is often cited by papers focused on Web Data Mining and Analysis (24 papers), Data Quality and Management (23 papers) and Advanced Database Systems and Queries (20 papers). Cong Yu collaborates with scholars based in United States, China and Hong Kong. Cong Yu's co-authors include H. V. Jagadish, Sihem Amer-Yahia, Wei Pan, Alon Halevy, Martin Freedman, Gautam Das, You Wu, Senjuti Basu Roy, Xin Luna Dong and Jia Du and has published in prestigious journals such as Nucleic Acids Research, Renewable and Sustainable Energy Reviews and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Cong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cong Yu

Since Specialization
Citations

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