Qing Cong

11 papers and 294 indexed citations i.

About

Qing Cong is a scholar working on Artificial Intelligence, Social Psychology and Molecular Biology. According to data from OpenAlex, Qing Cong has authored 11 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Social Psychology and 1 paper in Molecular Biology. Recurrent topics in Qing Cong’s work include Topic Modeling (7 papers), Sentiment Analysis and Opinion Mining (5 papers) and Advanced Graph Neural Networks (2 papers). Qing Cong is often cited by papers focused on Topic Modeling (7 papers), Sentiment Analysis and Opinion Mining (5 papers) and Advanced Graph Neural Networks (2 papers). Qing Cong collaborates with scholars based in China and United States. Qing Cong's co-authors include Guozheng Rao, Zhiyong Feng, Li Zhang, Cui Tao, Fang Li, Yang Xiang, Shiqiang Xu, Xin Wang, Li Zhang and Boyang Liu and has published in prestigious journals such as IEEE Access, Neurocomputing and Applied Intelligence.

In The Last Decade

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

Fields of papers citing papers by Qing Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qing Cong

Since Specialization
Citations

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