Guilan Kong

85 total papers · 1.6k total citations
57 papers, 1.0k citations indexed

About

Guilan Kong is a scholar working on Artificial Intelligence, Epidemiology and Nephrology. According to data from OpenAlex, Guilan Kong has authored 57 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Epidemiology and 10 papers in Nephrology. Recurrent topics in Guilan Kong's work include Machine Learning in Healthcare (8 papers), Sepsis Diagnosis and Treatment (6 papers) and Chronic Disease Management Strategies (6 papers). Guilan Kong is often cited by papers focused on Machine Learning in Healthcare (8 papers), Sepsis Diagnosis and Treatment (6 papers) and Chronic Disease Management Strategies (6 papers). Guilan Kong collaborates with scholars based in China, United Kingdom and United States. Guilan Kong's co-authors include Dong‐Ling Xu, Yonghua Hu, Ke Lin, Jian-Bo Yang, Jianbo Yang, Luxia Zhang, Kevin Mackway‐Jones, Simon Carley, Baoguo Jiang and Richard Body and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Hazardous Materials.

In The Last Decade

Guilan Kong

50 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Guilan Kong 355 179 157 117 98 57 1.0k
Emmanuel Chazard 157 0.4× 142 0.8× 172 1.1× 52 0.4× 77 0.8× 126 1.1k
Harshana Liyanage 110 0.3× 157 0.9× 139 0.9× 64 0.5× 197 2.0× 54 915
Gloria Lipori 402 1.1× 101 0.6× 128 0.8× 51 0.4× 52 0.5× 24 1.1k
Adler Perotte 294 0.8× 134 0.7× 134 0.9× 23 0.2× 123 1.3× 36 1.2k
Chris Kelman 110 0.3× 192 1.1× 93 0.6× 117 1.0× 173 1.8× 23 956
Eric Widen 164 0.5× 193 1.1× 229 1.5× 21 0.2× 117 1.2× 19 915
Jinwook Choi 271 0.8× 49 0.3× 103 0.7× 35 0.3× 52 0.5× 93 1.0k
Ofir Ben‐Assuli 162 0.5× 112 0.6× 397 2.5× 94 0.8× 222 2.3× 60 1.0k
Ioana Danciu 167 0.5× 149 0.8× 144 0.9× 35 0.3× 53 0.5× 26 1.0k
Arianna Dagliati 309 0.9× 81 0.5× 306 1.9× 52 0.4× 31 0.3× 49 981

Countries citing papers authored by Guilan Kong

Since Specialization
Citations

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

Fields of papers citing papers by Guilan Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guilan Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Guilan Kong. A scholar is included among the top collaborators of Guilan Kong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guilan Kong. Guilan Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026