Xiangnan Kong

94 papers and 1.9k indexed citations i.

About

Xiangnan Kong is a scholar working on Artificial Intelligence, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Xiangnan Kong has authored 94 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 24 papers in Molecular Biology and 16 papers in Statistical and Nonlinear Physics. Recurrent topics in Xiangnan Kong’s work include Complex Network Analysis Techniques (15 papers), Advanced Graph Neural Networks (14 papers) and Text and Document Classification Technologies (10 papers). Xiangnan Kong is often cited by papers focused on Complex Network Analysis Techniques (15 papers), Advanced Graph Neural Networks (14 papers) and Text and Document Classification Technologies (10 papers). Xiangnan Kong collaborates with scholars based in United States, China and Saudi Arabia. Xiangnan Kong's co-authors include Philip S. Yu, Qifeng Yang, Jiawei Zhang, Bruce G. Haffty, Meena S. Moran, Ning Zhang, Chuan Shi, Michael K. Ng, Zhi‐Hua Zhou and Yue Huang and has published in prestigious journals such as PLoS ONE, Gene and European Journal of Cancer.

In The Last Decade

Co-authorship network of co-authors of Xiangnan Kong i

Fields of papers citing papers by Xiangnan Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xiangnan Kong

Since Specialization
Citations

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