Chia-Rong Su

569 total citations · 1 hit paper
7 papers, 451 citations indexed

About

Chia-Rong Su is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Strategy and Management. According to data from OpenAlex, Chia-Rong Su has authored 7 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Management Science and Operations Research, 2 papers in Computer Networks and Communications and 2 papers in Strategy and Management. Recurrent topics in Chia-Rong Su's work include Multi-Criteria Decision Making (4 papers), Quality Function Deployment in Product Design (2 papers) and Optimization and Mathematical Programming (2 papers). Chia-Rong Su is often cited by papers focused on Multi-Criteria Decision Making (4 papers), Quality Function Deployment in Product Design (2 papers) and Optimization and Mathematical Programming (2 papers). Chia-Rong Su collaborates with scholars based in Taiwan and Macao. Chia-Rong Su's co-authors include Jeyhun Hajiyev, Ching‐Ter Chang, Zheng-Yun Zhuang, Chih-Yung Chen, Chih-Hao Chang, I‐Jen Chiang, Chang‐Ching Lin and Kuo‐Chin Kao and has published in prestigious journals such as Computers & Education, Sensors and Applied Sciences.

In The Last Decade

Chia-Rong Su

6 papers receiving 437 citations

Hit Papers

Examining the students’ behavioral intention to use e-lea... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chia-Rong Su Taiwan 5 246 129 127 96 91 7 451
Paul Juinn Bing Tan Taiwan 9 196 0.8× 108 0.8× 124 1.0× 64 0.7× 78 0.9× 22 442
Muhammad Saleem Vighio Pakistan 13 229 0.9× 108 0.8× 148 1.2× 120 1.3× 163 1.8× 27 515
Yi Hsuan Lee Taiwan 2 249 1.0× 137 1.1× 78 0.6× 69 0.7× 74 0.8× 5 448
Abeer S. Almogren Saudi Arabia 12 150 0.6× 63 0.5× 96 0.8× 94 1.0× 87 1.0× 18 398
Qusay Al-Maatouk Malaysia 10 146 0.6× 74 0.6× 116 0.9× 70 0.7× 90 1.0× 28 368
Hamaad Rafique Italy 6 261 1.1× 142 1.1× 74 0.6× 69 0.7× 121 1.3× 15 473
Birgül Kutlu Türkiye 8 124 0.5× 74 0.6× 100 0.8× 55 0.6× 66 0.7× 21 356
Sami Saeed Binyamin Saudi Arabia 11 183 0.7× 59 0.5× 122 1.0× 103 1.1× 62 0.7× 25 424
Rima Shishakly United Arab Emirates 8 131 0.5× 68 0.5× 61 0.5× 103 1.1× 106 1.2× 29 367
Zahid Hussain Pakistan 11 157 0.6× 114 0.9× 62 0.5× 77 0.8× 173 1.9× 34 482

Countries citing papers authored by Chia-Rong Su

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Rong Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Rong Su. 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 Chia-Rong Su. The network helps show where Chia-Rong Su may publish in the future.

Co-authorship network of co-authors of Chia-Rong Su

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

All Works

7 of 7 papers shown
1.
Su, Chia-Rong, et al.. (2019). A novel framework for a remote patient monitoring (RPM) system with abnormality detection. Health Policy and Technology. 8(2). 157–170. 21 indexed citations
2.
Zhuang, Zheng-Yun, et al.. (2019). THE EFFECTIVENESS OF IF-MADM (INTUITIONISTIC-FUZZY MULTI-ATTRIBUTE DECISION-MAKING) FOR GROUP DECISIONS: METHODS AND AN EMPIRICAL ASSESSMENT FOR THE SELECTION OF A SENIOR CENTRE. Technological and Economic Development of Economy. 25(2). 322–364. 23 indexed citations
3.
Chen, Chih-Yung, et al.. (2019). Study of Out-Of-Hospital Access to HIS System: A Security Perspective. Sensors. 19(11). 2628–2628. 1 indexed citations
4.
Zhuang, Zheng-Yun, Chang‐Ching Lin, Chih-Yung Chen, & Chia-Rong Su. (2018). Rank-Based Comparative Research Flow Benchmarking the Effectiveness of AHP–GTMA on Aiding Decisions of Shredder Selection by Reference to AHP–TOPSIS. Applied Sciences. 8(10). 1974–1974. 12 indexed citations
5.
Zhuang, Zheng-Yun, I‐Jen Chiang, Chia-Rong Su, & Chih-Yung Chen. (2017). Modelling the decision of paper shredder selection using analytic hierarchy process and graph theory and matrix approach. Advances in Mechanical Engineering. 9(12). 2071942854–2071942854. 12 indexed citations
6.
Chang, Ching‐Ter, Jeyhun Hajiyev, & Chia-Rong Su. (2017). Examining the students’ behavioral intention to use e-learning in Azerbaijan? The General Extended Technology Acceptance Model for E-learning approach. Computers & Education. 111. 128–143. 381 indexed citations breakdown →
7.
Chen, Chih-Yung, et al.. (2016). Using fuzzy goal programming by considering personal preferences for job selection via the internet. Engineering Computations. 33(6). 1865–1880. 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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