Hsiang‐Jui Kung

55 total papers · 411 total citations
27 papers, 249 citations indexed

About

Hsiang‐Jui Kung is a scholar working on Information Systems, Computer Networks and Communications and Management Information Systems. According to data from OpenAlex, Hsiang‐Jui Kung has authored 27 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 7 papers in Computer Networks and Communications and 7 papers in Management Information Systems. Recurrent topics in Hsiang‐Jui Kung's work include Advanced Database Systems and Queries (5 papers), Software Reliability and Analysis Research (4 papers) and Data Mining Algorithms and Applications (4 papers). Hsiang‐Jui Kung is often cited by papers focused on Advanced Database Systems and Queries (5 papers), Software Reliability and Analysis Research (4 papers) and Data Mining Algorithms and Applications (4 papers). Hsiang‐Jui Kung collaborates with scholars based in United States and United Kingdom. Hsiang‐Jui Kung's co-authors include Robert M. O’Keefe, Gina Colarelli O’Connor, LeeAnn Kung, Casey G. Cegielski, Yichuan Wang, L. Allison Jones‐Farmer, Han Reichgelt, Thomas C. Case, Tarun Khanna and Susan Williams and has published in prestigious journals such as European Journal of Marketing, Journal of the Association for Information Systems and Journal of Information Technology.

In The Last Decade

Hsiang‐Jui Kung

22 papers receiving 221 citations

Author Peers

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

Author Last Decade Papers Cites
Hsiang‐Jui Kung 95 67 65 63 60 27 249
Issam AlHadid 126 1.3× 33 0.5× 83 1.3× 41 0.7× 59 1.0× 24 294
Nandish V. Patel 51 0.5× 65 1.0× 48 0.7× 89 1.4× 47 0.8× 31 302
Laith T. Khrais 86 0.9× 30 0.4× 60 0.9× 63 1.0× 61 1.0× 37 287
Gyoo Gun Lim 130 1.4× 79 1.2× 57 0.9× 118 1.9× 45 0.8× 34 324
Scott L. Schneberger 75 0.8× 39 0.6× 65 1.0× 52 0.8× 60 1.0× 24 257
Guochao Peng 47 0.5× 50 0.7× 51 0.8× 76 1.2× 29 0.5× 22 267
Ricardo Martins 151 1.6× 84 1.3× 61 0.9× 106 1.7× 74 1.2× 13 331
Ta‐Tao Chuang 89 0.9× 65 1.0× 67 1.0× 91 1.4× 45 0.8× 15 274
Ramaraj Palanisamy 70 0.7× 57 0.9× 74 1.1× 125 2.0× 54 0.9× 26 300
Mary J. Cronin 91 1.0× 94 1.4× 96 1.5× 30 0.5× 42 0.7× 18 331

Countries citing papers authored by Hsiang‐Jui Kung

Since Specialization
Citations

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

Fields of papers citing papers by Hsiang‐Jui Kung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiang‐Jui Kung. 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 Hsiang‐Jui Kung. The network helps show where Hsiang‐Jui Kung may publish in the future.

Co-authorship network of co-authors of Hsiang‐Jui Kung

This figure shows the co-authorship network connecting the top 25 collaborators of Hsiang‐Jui Kung. A scholar is included among the top collaborators of Hsiang‐Jui Kung 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 Hsiang‐Jui Kung. Hsiang‐Jui Kung 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