Boyeong Hong

18 total papers · 724 total citations
9 papers, 457 citations indexed

About

Boyeong Hong is a scholar working on Modeling and Simulation, Clinical Psychology and Sociology and Political Science. According to data from OpenAlex, Boyeong Hong has authored 9 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Modeling and Simulation, 3 papers in Clinical Psychology and 3 papers in Sociology and Political Science. Recurrent topics in Boyeong Hong's work include COVID-19 epidemiological studies (4 papers), COVID-19 Pandemic Impacts (3 papers) and COVID-19 and Mental Health (3 papers). Boyeong Hong is often cited by papers focused on COVID-19 epidemiological studies (4 papers), COVID-19 Pandemic Impacts (3 papers) and COVID-19 and Mental Health (3 papers). Boyeong Hong collaborates with scholars based in United States, United Kingdom and Hong Kong. Boyeong Hong's co-authors include Constantine E. Kontokosta, Bartosz Bończak, Arpit Gupta, Nicholas Johnson, Lorna E. Thorpe, Ke Liu, Xiaodong Xu, Wei Wang and Jiayu Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Cleaner Production.

In The Last Decade

Boyeong Hong

9 papers receiving 448 citations

Hit Papers

Measuring inequality in c... 2021 2026 2022 2024 2021 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Boyeong Hong 107 104 103 80 70 9 457
Andrew Curtis 76 0.7× 112 1.1× 78 0.8× 11 0.1× 27 0.4× 41 534
Jacob Songsore 190 1.8× 26 0.3× 119 1.2× 33 0.4× 7 0.1× 23 542
A. M. Aslam Saja 280 2.6× 28 0.3× 167 1.6× 23 0.3× 11 0.2× 11 463
Akhilesh Surjan 189 1.8× 38 0.4× 162 1.6× 31 0.4× 5 0.1× 21 524
Jane Weru 86 0.8× 23 0.2× 68 0.7× 22 0.3× 135 1.9× 10 510
Manu Sasidharan 26 0.2× 120 1.2× 89 0.9× 5 0.1× 137 2.0× 30 473
Blaise Nguendo-Yongsi 56 0.5× 24 0.2× 57 0.6× 21 0.3× 137 2.0× 7 408
Reza Banai 59 0.6× 146 1.4× 128 1.2× 9 0.1× 23 0.3× 24 504
Letizia Appolloni 71 0.7× 170 1.6× 89 0.9× 4 0.1× 39 0.6× 20 543
Aidana Tleuken 40 0.4× 14 0.1× 65 0.6× 33 0.4× 15 0.2× 23 476

Countries citing papers authored by Boyeong Hong

Since Specialization
Citations

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

Fields of papers citing papers by Boyeong Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boyeong Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Boyeong Hong. A scholar is included among the top collaborators of Boyeong Hong 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 Boyeong Hong. Boyeong Hong 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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