Jun Hong

143 total papers · 1.8k total citations
65 papers, 967 citations indexed

About

Jun Hong is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Jun Hong has authored 65 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 19 papers in Information Systems and 15 papers in Computer Networks and Communications. Recurrent topics in Jun Hong's work include Logic, Reasoning, and Knowledge (14 papers), Multi-Agent Systems and Negotiation (12 papers) and Semantic Web and Ontologies (11 papers). Jun Hong is often cited by papers focused on Logic, Reasoning, and Knowledge (14 papers), Multi-Agent Systems and Negotiation (12 papers) and Semantic Web and Ontologies (11 papers). Jun Hong collaborates with scholars based in United Kingdom, China and South Korea. Jun Hong's co-authors include Weiru Liu, Oluwaseun Ajao, Ivan Habernal, Jianhan Zhu, John G. Hughes, Anna Jurek, Aisling Gough, Ruth F. Hunter, Frank Kee and Gary McKeown and has published in prestigious journals such as Scientific Reports, Biochemical Pharmacology and Frontiers in Psychology.

In The Last Decade

Jun Hong

59 papers receiving 916 citations

Author Peers

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

Author Last Decade Papers Cites
Jun Hong 404 172 155 107 101 65 967
Samarth Swarup 194 0.5× 77 0.4× 239 1.5× 72 0.7× 72 0.7× 89 969
Ross Gore 172 0.4× 127 0.7× 251 1.6× 48 0.4× 165 1.6× 71 864
Martin Szomszor 214 0.5× 333 1.9× 180 1.2× 68 0.6× 73 0.7× 41 951
Saikou Y. Diallo 224 0.6× 189 1.1× 221 1.4× 167 1.6× 418 4.1× 107 1.2k
José J. Padilla 187 0.5× 113 0.7× 170 1.1× 99 0.9× 323 3.2× 80 887
Vijay Mago 471 1.2× 87 0.5× 97 0.6× 49 0.5× 99 1.0× 89 983
Jürgen Lerner 222 0.5× 114 0.7× 366 2.4× 69 0.6× 51 0.5× 43 1.2k
Peter Dolog 619 1.5× 629 3.7× 116 0.7× 188 1.8× 42 0.4× 82 1.2k
Amos Azaria 550 1.4× 368 2.1× 261 1.7× 161 1.5× 135 1.3× 77 1.2k
Alex Voß 189 0.5× 293 1.7× 546 3.5× 76 0.7× 61 0.6× 53 1.2k

Countries citing papers authored by Jun Hong

Since Specialization
Citations

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

Fields of papers citing papers by Jun Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Hong

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