Cailing Dong

About

Cailing Dong is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Cailing Dong has authored 4 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Sociology and Political Science and 1 paper in Information Systems. Recurrent topics in Cailing Dong’s work include Text and Document Classification Technologies (2 papers), Technology Adoption and User Behaviour (1 paper) and Web Data Mining and Analysis (1 paper). Cailing Dong is often cited by papers focused on Text and Document Classification Technologies (2 papers), Technology Adoption and User Behaviour (1 paper) and Web Data Mining and Analysis (1 paper). Cailing Dong collaborates with scholars based in United States, China and Germany. Cailing Dong's co-authors include Ulrich Schäfer, Bart P. Knijnenburg, Hongxia Jin, Bin Zhou and Yilong Yin and has published in prestigious journals such as Science China Information Sciences, Proceedings of the International AAAI Conference on Web and Social Media and International Joint Conference on Natural Language Processing.

In The Last Decade

Co-authorship network of co-authors of Cailing Dong i

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Fields of papers citing papers by Cailing Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cailing Dong

Since Specialization

Citations

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