Chun-Neng Huang

494 total citations
8 papers, 346 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 346 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, Chih‐Ping Wei, Chin‐Sheng Yang, Hsinchun Chen, Catherine Larson and Nancy Roberts 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 325 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Chun-Neng Huang United States	7	162	161	87	78	72	8	346
Hiroki Sakaji Japan	10	143 0.9×	172 1.1×	76 0.9×	44 0.6×	101 1.4×	94	353
Julien Velcin France	6	214 1.3×	233 1.4×	92 1.1×	63 0.8×	110 1.5×	24	482
Marc-André Mittermayer Switzerland	4	127 0.8×	190 1.2×	97 1.1×	41 0.5×	98 1.4×	7	307
Qiujun Lan China	9	93 0.6×	44 0.3×	49 0.6×	110 1.4×	50 0.7×	37	312
Michael Hagenau Germany	5	110 0.7×	204 1.3×	99 1.1×	27 0.3×	101 1.4×	7	293
Chuan‐Ju Wang Taiwan	10	279 1.7×	135 0.8×	120 1.4×	172 2.2×	73 1.0×	56	492
Ilaria Bordino Italy	9	206 1.3×	116 0.7×	58 0.7×	134 1.7×	110 1.5×	26	483
Anna Pomeranets United States	4	134 0.8×	121 0.8×	45 0.5×	41 0.5×	48 0.7×	6	260
Alexandra Pomares Quimbaya Colombia	6	196 1.2×	210 1.3×	67 0.8×	31 0.4×	87 1.2×	36	439
Thien Hai Nguyen Japan	6	520 3.2×	331 2.1×	129 1.5×	88 1.1×	140 1.9×	9	835

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

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Schumaker, Robert P., Yulei Zhang, Chun-Neng Huang, & Hsinchun Chen. (2012). Evaluating sentiment in financial news articles. Decision Support Systems. 53(3). 458–464. 224 indexed citations

2.

Chen, Hsinchun, et al.. (2011). The Dark Web Forum Portal: From multi-lingual to video. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School). 1208. 7–14. 11 indexed citations

3.

Zhang, Yulei, Shuo Zeng, Chun-Neng Huang, et al.. (2010). Developing a Dark Web collection and infrastructure for computational and social sciences. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School). 59–64. 27 indexed citations

4.

Huang, Chun-Neng, Tianjun Fu, & Hsinchun Chen. (2010). Text‐based video content classification for online video‐sharing sites. Journal of the American Society for Information Science and Technology. 61(5). 891–906. 40 indexed citations

5.

Schumaker, Robert P., et al.. (2009). Sentiment Analysis of Financial News Articles 1. 7 indexed citations

6.

Fu, Tianjun, Chun-Neng Huang, & Hsinchun Chen. (2009). Identification of extremist videos in online video sharing sites. 179–181. 9 indexed citations

7.

Wei, Chih‐Ping, et al.. (2007). Managing Word Mismatch Problems in Information Retrieval: A Topic-Based Query Expansion Approach. Journal of Management Information Systems. 24(3). 269–295. 22 indexed citations

8.

Wei, Chih‐Ping, Chin‐Sheng Yang, & Chun-Neng Huang. (2006). Turning Online Product Reviews to Customer Knowledge: A Semantic-based Sentiment Classification Approach. Journal of the Association for Information Systems. 50. 6 indexed citations

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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