Jin‐Cheon Na

2.1k total citations
64 papers, 1.1k citations indexed

About

Jin‐Cheon Na is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Jin‐Cheon Na has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 21 papers in Information Systems and 15 papers in Sociology and Political Science. Recurrent topics in Jin‐Cheon Na's work include Sentiment Analysis and Opinion Mining (25 papers), Advanced Text Analysis Techniques (20 papers) and Topic Modeling (18 papers). Jin‐Cheon Na is often cited by papers focused on Sentiment Analysis and Opinion Mining (25 papers), Advanced Text Analysis Techniques (20 papers) and Topic Modeling (18 papers). Jin‐Cheon Na collaborates with scholars based in Singapore, United States and China. Jin‐Cheon Na's co-authors include Christopher S. G. Khoo, Tun Thura Thet, Li Yang, Jianfei Yu, Kokil Jaidka, Armineh Nourbakhsh, Richard Furuta, Yin‐Leng Theng, Syin Chan and Yun‐Ke Chang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Education and Knowledge-Based Systems.

In The Last Decade

Jin‐Cheon Na

59 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin‐Cheon Na Singapore 18 764 240 240 70 62 64 1.1k
Patricio Martínez-Barco Spain 19 834 1.1× 179 0.7× 186 0.8× 41 0.6× 50 0.8× 93 1.0k
Christopher S. G. Khoo Singapore 17 979 1.3× 202 0.8× 354 1.5× 56 0.8× 106 1.7× 86 1.4k
Jana Diesner United States 15 376 0.5× 211 0.9× 124 0.5× 136 1.9× 32 0.5× 82 976
Jey Han Lau Australia 22 1.8k 2.4× 229 1.0× 457 1.9× 69 1.0× 71 1.1× 76 2.3k
Wei Lu China 16 409 0.5× 108 0.5× 185 0.8× 30 0.4× 86 1.4× 97 941
Jiexun Li United States 18 517 0.7× 199 0.8× 233 1.0× 32 0.5× 111 1.8× 27 889
David Hall United States 11 1.1k 1.4× 84 0.3× 355 1.5× 34 0.5× 116 1.9× 19 1.5k
Elizabeth D. Liddy United States 18 1.0k 1.3× 72 0.3× 477 2.0× 47 0.7× 86 1.4× 90 1.5k
Georg Groh Germany 16 369 0.5× 147 0.6× 240 1.0× 105 1.5× 32 0.5× 96 850
Patrice Bellot France 11 391 0.5× 149 0.6× 160 0.7× 59 0.8× 19 0.3× 62 730

Countries citing papers authored by Jin‐Cheon Na

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Cheon Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Cheon Na. 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 Jin‐Cheon Na. The network helps show where Jin‐Cheon Na may publish in the future.

Co-authorship network of co-authors of Jin‐Cheon Na

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Cheon Na. A scholar is included among the top collaborators of Jin‐Cheon Na 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 Jin‐Cheon Na. Jin‐Cheon Na is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Na, Jin‐Cheon, et al.. (2022). Exploring how online responses change in response to debunking messages about COVID-19 on WhatsApp. Online Information Review. 46(6). 1184–1204. 6 indexed citations
3.
Na, Jin‐Cheon, et al.. (2022). Are automated accounts driving scholarly communication on Twitter? a case study of dissemination of COVID-19 publications. Scientometrics. 127(5). 2151–2172. 5 indexed citations
4.
Na, Jin‐Cheon, et al.. (2022). Why are medical research articles tweeted? The news value perspective. Scientometrics. 128(1). 207–226. 3 indexed citations
5.
Na, Jin‐Cheon, et al.. (2019). Unified Psycholinguistic Framework: An Unobtrusive Psychological Analysis Approach towards Insider Threat Prevention and Detection. SHILAP Revista de lepidopterología. 4 indexed citations
6.
Na, Jin‐Cheon, et al.. (2019). Altmetrics : factor analysis for assessing the popularity of research articles on Twitter. SHILAP Revista de lepidopterología. 2 indexed citations
7.
Na, Jin‐Cheon, et al.. (2019). A comparative analysis of Twitter users who Tweeted on psychology and political science journal articles. Online Information Review. 43(7). 1188–1208. 12 indexed citations
8.
Na, Jin‐Cheon, et al.. (2017). Who are Tweeting Research Articles and Why?. SHILAP Revista de lepidopterología. 6 indexed citations
9.
Jaidka, Kokil, Christopher S. G. Khoo, & Jin‐Cheon Na. (2013). Deconstructing Human Literature Reviews -- A Framework for Multi-Document Summarization. 125–135. 16 indexed citations
10.
Nourbakhsh, Armineh, et al.. (2012). Sentiment analysis of online news text: a case study of appraisal theory. Online Information Review. 36(6). 858–878. 60 indexed citations
11.
Khoo, Christopher S. G., Jin‐Cheon Na, & Kokil Jaidka. (2011). Analysis of the macro‐level discourse structure of literature reviews. Online Information Review. 35(2). 255–271. 35 indexed citations
12.
Na, Jin‐Cheon & Tun Thura Thet. (2009). Effectiveness of web search results for genre and sentiment classification. Journal of Information Science. 35(6). 709–726. 8 indexed citations
13.
Khoo, Christopher S. G., Jin‐Cheon Na, & Wei Wang. (2008). Pattern mining for information extraction using lexical, syntactic and semantic information: preliminary results. 676–681. 2 indexed citations
14.
Nourbakhsh, Armineh, Christopher S. G. Khoo, & Jin‐Cheon Na. (2008). A Framework for Sentiment Analysis of Political News Articles. 1–27. 2 indexed citations
15.
Theng, Yin‐Leng, Dion Hoe‐Lian Goh, Schubert Foo, et al.. (2007). Design and Development of ReLOAMS: A Reusable Learning Objects Authoring and Management System. EdMedia: World Conference on Educational Media and Technology. 2007(1). 1225–1234. 1 indexed citations
16.
Theng, Yin‐Leng, Dion Hoe‐Lian Goh, Schubert Foo, et al.. (2006). RELOMS: Designing for effective use and reuse of learning objects for e-learning systems. UA Campus Repository (The University of Arizona). 2 indexed citations
17.
Na, Jin‐Cheon, et al.. (2005). Sentiment-based search in digital libraries. 143–144. 4 indexed citations
18.
Na, Jin‐Cheon, et al.. (2005). Use of negation phrases in automatic sentiment classification of product reviews. Library Collections Acquisitions and Technical Services. 29(2). 180–191. 8 indexed citations
19.
Khoo, Christopher S. G., et al.. (2004). Effectiveness of simple linguistic processing in automatic sentiment classification of product reviews. DR-NTU (Nanyang Technological University). 46 indexed citations
20.
Na, Jin‐Cheon & Richard Furuta. (2000). Context-Aware Digital Documents Described In A High-Level Petri Net-Based Hypermedia System. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Patricio Martínez-Barco Breakdown of academic impact, for papers by Christopher S. G. Khoo Breakdown of academic impact, for papers by Jana Diesner Breakdown of academic impact, for papers by Jey Han Lau Breakdown of academic impact, for papers by Wei Lu Breakdown of academic impact, for papers by Jiexun Li Breakdown of academic impact, for papers by David Hall Breakdown of academic impact, for papers by Elizabeth D. Liddy Breakdown of academic impact, for papers by Georg Groh Breakdown of academic impact, for papers by Patrice Bellot
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