Chun-Neng Huang

9 total papers · 493 total citations
8 papers, 345 citations indexed

About

Chun-Neng Huang is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Chun-Neng Huang has authored 8 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 6 papers in Artificial Intelligence and 2 papers in Management Science and Operations Research. Recurrent topics in Chun-Neng Huang's work include Spam and Phishing Detection (4 papers), Text and Document Classification Technologies (3 papers) and Web Data Mining and Analysis (2 papers). Chun-Neng Huang is often cited by papers focused on Spam and Phishing Detection (4 papers), Text and Document Classification Technologies (3 papers) and Web Data Mining and Analysis (2 papers). Chun-Neng Huang collaborates with scholars based in United States and Taiwan. Chun-Neng Huang's co-authors include Yulei Zhang, Hsinchun Chen, Robert P. Schumaker, Tianjun Fu, Hsinchun Chen, Chin‐Sheng Yang, Chih‐Ping Wei, Dorothy E. Denning, Catherine Larson and Hsinchun Chen and has published in prestigious journals such as Journal of Management Information Systems, Decision Support Systems and Journal of the Association for Information Systems.

In The Last Decade

Chun-Neng Huang

8 papers receiving 324 citations

Author Peers

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

Author						Papers	Cites
Chun-Neng Huang	163	160	88	78	73	8	345
Marc-André Mittermayer	128 0.8×	190 1.2×	97 1.1×	41 0.5×	100 1.4×	7	307
Arash Bahrammirzaee	138 0.8×	168 1.1×	66 0.8×	43 0.6×	89 1.2×	6	390
Michael Liebmann	112 0.7×	211 1.3×	108 1.2×	26 0.3×	116 1.6×	11	342
Darko Aleksovski	93 0.6×	122 0.8×	97 1.1×	30 0.4×	117 1.6×	9	385
Ziniu Hu	195 1.2×	169 1.1×	62 0.7×	101 1.3×	55 0.8×	19	394
Eduardo Ruiz	118 0.7×	98 0.6×	39 0.4×	38 0.5×	73 1.0×	12	293
Andrew C. Pollock	77 0.5×	181 1.1×	43 0.5×	21 0.3×	66 0.9×	21	393
Beat Wüthrich	192 1.2×	146 0.9×	49 0.6×	105 1.3×	66 0.9×	18	318
Tae Hyup Roh	67 0.4×	153 1.0×	67 0.8×	94 1.2×	111 1.5×	5	329
Pyry Takala	204 1.3×	149 0.9×	40 0.5×	18 0.2×	27 0.4×	5	300

Countries citing papers authored by Chun-Neng Huang

Since Specialization

Citations

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

Fields of papers citing papers by Chun-Neng Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Neng Huang. 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 Chun-Neng Huang. The network helps show where Chun-Neng Huang may publish in the future.

Co-authorship network of co-authors of Chun-Neng Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Chun-Neng Huang. A scholar is included among the top collaborators of Chun-Neng Huang 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 Chun-Neng Huang. Chun-Neng Huang 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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