Long‐Sheng Chen

4.5k total citations
110 papers, 1.4k citations indexed

About

Long‐Sheng Chen is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Long‐Sheng Chen has authored 110 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 29 papers in Sociology and Political Science and 23 papers in Information Systems. Recurrent topics in Long‐Sheng Chen's work include Digital Marketing and Social Media (25 papers), Sentiment Analysis and Opinion Mining (17 papers) and Customer Service Quality and Loyalty (15 papers). Long‐Sheng Chen is often cited by papers focused on Digital Marketing and Social Media (25 papers), Sentiment Analysis and Opinion Mining (17 papers) and Customer Service Quality and Loyalty (15 papers). Long‐Sheng Chen collaborates with scholars based in Taiwan, Vietnam and Japan. Long‐Sheng Chen's co-authors include Mu‐Chen Chen, Chun-Chin Hsu, Cheng-Hsiang Liu, Chao‐Ton Su, Kai-Ying Chen, Jing–Rong Chang, Der‐Chiang Li, Mu‐Yen Chen, Yuehwern Yih and Rung-Ching Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Long‐Sheng Chen

91 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long‐Sheng Chen Taiwan 20 504 306 274 175 149 110 1.4k
J. A. Harding United Kingdom 21 592 1.2× 413 1.3× 158 0.6× 107 0.6× 356 2.4× 67 2.3k
Minghe Sun United States 28 317 0.6× 208 0.7× 435 1.6× 61 0.3× 42 0.3× 140 2.4k
Shuo Xu China 19 562 1.1× 185 0.6× 59 0.2× 80 0.5× 54 0.4× 100 1.5k
Parag C. Pendharkar United States 26 588 1.2× 578 1.9× 147 0.5× 52 0.3× 66 0.4× 105 2.0k
M. Ghiassi United States 18 694 1.4× 196 0.6× 83 0.3× 182 1.0× 31 0.2× 30 1.7k
Mohamed Limam Tunisia 18 251 0.5× 45 0.1× 232 0.8× 49 0.3× 63 0.4× 64 1.1k
Chieh-Yuan Tsai Taiwan 18 374 0.7× 236 0.8× 86 0.3× 132 0.8× 35 0.2× 59 1.3k
Carlo Vercellis Italy 19 347 0.7× 166 0.5× 273 1.0× 18 0.1× 114 0.8× 48 1.5k
Gholam Ali Montazer Iran 19 416 0.8× 156 0.5× 139 0.5× 49 0.3× 23 0.2× 78 1.4k

Countries citing papers authored by Long‐Sheng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Long‐Sheng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long‐Sheng Chen. 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 Long‐Sheng Chen. The network helps show where Long‐Sheng Chen may publish in the future.

Co-authorship network of co-authors of Long‐Sheng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Long‐Sheng Chen. A scholar is included among the top collaborators of Long‐Sheng Chen 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 Long‐Sheng Chen. Long‐Sheng Chen 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.
Chen, Long‐Sheng, et al.. (2025). Risk evaluation in the implementation of sustainable measures in the supply chain operations: A Fuzzy Delphi-DEMATEL approach. Cleaner Logistics and Supply Chain. 17. 100262–100262.
2.
Chen, Long‐Sheng, et al.. (2024). Why first-year e-students are dissatisfied: Machine learning methods for enhancing retention. 21(3). 1–10. 1 indexed citations
3.
Chen, Long‐Sheng, et al.. (2024). Exploring the advertising elements of electronic word-of-mouth in social media: an example of game reviews. Multimedia Tools and Applications. 83(30). 74685–74709. 6 indexed citations
4.
Chen, Long‐Sheng, et al.. (2024). Early prediction models and crucial factor extraction for first-year undergraduate student dropouts. Journal of Applied Research in Higher Education. 17(2). 624–639. 5 indexed citations
5.
Chen, Long‐Sheng, et al.. (2023). Modelling the FinTech adoption barriers in the context of emerging economies—An integrated Fuzzy hybrid approach. Technological Forecasting and Social Change. 199. 123049–123049. 17 indexed citations
6.
Chen, Long‐Sheng, et al.. (2023). Enhancing the English writing skills of in-service students using marking mate automated feedback. Asia Pacific Education Review. 25(2). 459–474. 4 indexed citations
7.
Chen, Long‐Sheng, et al.. (2023). Discovering Critical Factors in the Content of Crowdfunding Projects. Algorithms. 16(1). 51–51. 2 indexed citations
8.
Chen, Long‐Sheng, et al.. (2023). Classification Crisis Communication: Semiotic Approach with Latent Semantic Analysis. SHILAP Revista de lepidopterología. 9–9.
9.
Chen, Long‐Sheng, et al.. (2023). Enhancing service quality of rural public transport during the COVID-19 pandemic: a novel fuzzy approach. Public Transport. 15(2). 479–501. 7 indexed citations
10.
Chen, Long‐Sheng, et al.. (2023). Exploring crucial social media marketing factors for improving customer satisfaction and customer loyalty in bed and breakfast sectors in Taiwan. International Journal of Tourism Cities. 9(2). 429–446. 7 indexed citations
11.
Chen, Long‐Sheng, et al.. (2023). Constructing Depression Prediction Model using ChatGPT and Machine Learning Algorithms. 233–236. 3 indexed citations
12.
Li, Chung‐Yi, Yi‐Chin Huang, Pei‐Chen Lee, et al.. (2023). Psychometric properties of novel instrument for evaluating ambient air pollution health literacy in adults. PLoS ONE. 18(6). e0285001–e0285001. 3 indexed citations
13.
Chang, Jing–Rong, et al.. (2023). Building prediction models and discovering important factors of health insurance fraud using machine learning methods. Journal of Ambient Intelligence and Humanized Computing. 14(7). 9607–9619. 11 indexed citations
14.
Chang, Jing–Rong, et al.. (2022). Winning customers' hearts and minds using DFSS in the insurance industry. The TQM Journal. 38(1). 95–112. 3 indexed citations
15.
Chen, Mu‐Yen, et al.. (2021). The key successful factors of video and mobile game crowdfunding projects using a lexicon-based feature selection approach. Journal of Ambient Intelligence and Humanized Computing. 13(6). 3083–3101. 10 indexed citations
16.
Chang, Yu-Chia, Yu‐Tung Huang, Long‐Sheng Chen, et al.. (2020). Protective Effect of Seasonal Influenza Vaccination in Elderly Individuals with Disability in Taiwan: A Propensity Score–Matched, Nationwide, Population-Based Cohort Study. Vaccines. 8(1). 140–140. 7 indexed citations
17.
Chang, Chin‐Chen, et al.. (2020). A Secure IoT-Based Authentication System in Cloud Computing Environment. Sensors. 20(19). 5604–5604. 15 indexed citations
18.
Chen, Long‐Sheng, et al.. (2020). Using a Text Mining Approach to Hear Voices of Customers from Social Media toward the Fast-Food Restaurant Industry. Sustainability. 13(1). 268–268. 42 indexed citations
19.
Chen, Long‐Sheng & Yiren Wang. (2015). A conceptual framework for Taiwan's hospital clinical performance indicators. Journal of the Formosan Medical Association. 114(5). 381–383. 5 indexed citations
20.
Chen, Long‐Sheng. (2013). RECOGNIZING KEY SERVICE FACTORS OF ATTRACTING NEW VIRTUAL COMMUNITY MEMBERS. Cybernetics & Systems. 44(4). 305–324. 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.

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