Ching‐Ter Chang

5.6k total citations · 3 hit papers
127 papers, 4.4k citations indexed

About

Ching‐Ter Chang is a scholar working on Control and Systems Engineering, Management Science and Operations Research and Management Information Systems. According to data from OpenAlex, Ching‐Ter Chang has authored 127 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Control and Systems Engineering, 35 papers in Management Science and Operations Research and 24 papers in Management Information Systems. Recurrent topics in Ching‐Ter Chang's work include Optimization and Mathematical Programming (60 papers), Multi-Criteria Decision Making (29 papers) and Supply Chain and Inventory Management (22 papers). Ching‐Ter Chang is often cited by papers focused on Optimization and Mathematical Programming (60 papers), Multi-Criteria Decision Making (29 papers) and Supply Chain and Inventory Management (22 papers). Ching‐Ter Chang collaborates with scholars based in Taiwan, China and United States. Ching‐Ter Chang's co-authors include Jeyhun Hajiyev, Chia-Rong Su, Fei Ye, Guo Wei, Kim Hua Tan, Guojun Ji, Yuanzhu Zhan, Zhi Liu, Xiuzhi Sang and Xianyu Yu and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Ching‐Ter Chang

122 papers receiving 4.2k citations

Hit Papers

Comparative analysis of M... 2015 2026 2018 2022 2018 2017 2015 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Ching‐Ter Chang 1.2k 1.2k 823 775 479 127 4.4k
Chung‐Hsing Yeh 1.9k 1.5× 568 0.5× 837 1.0× 535 0.7× 497 1.0× 158 5.6k
Ahmad Jusoh 1.9k 1.5× 448 0.4× 1.1k 1.3× 444 0.6× 269 0.6× 122 5.4k
Joshua Ignatius 1.2k 1.0× 375 0.3× 787 1.0× 486 0.6× 418 0.9× 73 3.7k
Serafim Opricović 4.3k 3.5× 1.2k 1.0× 1.4k 1.7× 567 0.7× 593 1.2× 20 7.9k
Benjamin Lev 1.3k 1.0× 540 0.5× 835 1.0× 636 0.8× 502 1.0× 178 3.9k
Jian Chen 1.8k 1.5× 630 0.5× 1.5k 1.8× 1.7k 2.2× 371 0.8× 181 5.2k
Mirosław J. Skibniewski 3.5k 2.9× 511 0.4× 1.9k 2.4× 810 1.0× 734 1.5× 335 10.1k
Zhongsheng Hua 1.5k 1.2× 393 0.3× 1.9k 2.3× 1.9k 2.4× 532 1.1× 167 5.7k
Adiel Teixeira de Almeida 1.7k 1.4× 422 0.4× 590 0.7× 523 0.7× 232 0.5× 180 3.9k
Maghsoud Amiri 2.7k 2.2× 862 0.7× 1.3k 1.6× 599 0.8× 991 2.1× 191 5.4k

Countries citing papers authored by Ching‐Ter Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Ter Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Ter Chang. 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 Ching‐Ter Chang. The network helps show where Ching‐Ter Chang may publish in the future.

Co-authorship network of co-authors of Ching‐Ter Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Ter Chang. A scholar is included among the top collaborators of Ching‐Ter Chang 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 Ching‐Ter Chang. Ching‐Ter Chang 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.
Chang, Ting‐Yu, et al.. (2024). Sharing decision-making in knee osteoarthritis using the AHP-FMCGP method. Expert Systems with Applications. 249. 123610–123610. 1 indexed citations
2.
Chang, Ching‐Ter, et al.. (2024). Beyond throughput: Evaluating maritime port competitiveness using MABAC and Bayesian methods. Computers & Industrial Engineering. 192. 110248–110248. 6 indexed citations
3.
Chang, Ching‐Ter, et al.. (2024). Constructing renewable energy sphere for efficient search. Journal of Cleaner Production. 471. 143412–143412.
4.
Chang, Ching‐Ter, et al.. (2023). Sentiment analysis of online reviews for electric vehicles using the SMAA-2 method and interval type-2 fuzzy sets. Applied Soft Computing. 147. 110745–110745. 12 indexed citations
5.
Hu, Gang, Jingyu Zhong, Guo Wei, & Ching‐Ter Chang. (2023). DTCSMO: An efficient hybrid starling murmuration optimizer for engineering applications. Computer Methods in Applied Mechanics and Engineering. 405. 115878–115878. 40 indexed citations
6.
Wei, Guo, et al.. (2023). Monitoring and Early Warning of SMEs’ Shutdown Risk under the Impact of Global Pandemic Shock. Systems. 11(5). 260–260. 57 indexed citations
7.
Chang, Ching‐Ter, et al.. (2021). How Income Influences Health: Decomposition Based on Absolute Income and Relative Income Effects. International Journal of Environmental Research and Public Health. 18(20). 10738–10738. 18 indexed citations
8.
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
9.
Chang, Chih-Hao, et al.. (2018). A Decision for Predicting Successful Extubation of Patients in Intensive Care Unit. BioMed Research International. 2018. 1–11. 20 indexed citations
10.
Chang, Ching‐Ter, et al.. (2018). On fuzzy multiple objective linear programming problems. Expert Systems with Applications. 114. 552–562. 10 indexed citations
11.
Hajiyev, Jeyhun & Ching‐Ter Chang. (2017). Gen Y Membersâ Mobile Banking Adoption Intention and Actual Use in Azerbaijan and Turkey: The Technology Acceptance Model and Social Cognitive Theory Approach. The Journal of Internet Banking and Commerce. 2017(1). 1–33. 2 indexed citations
12.
Chang, Ching‐Ter, et al.. (2017). A multi-stage and multi-supplier inventory model allowing different order quantities. Applied Mathematical Modelling. 52. 613–625. 2 indexed citations
13.
Chang, Ching‐Ter. (2017). Fuzzy score technique for the optimal location of wind turbines installations. Applied Mathematical Modelling. 44. 576–587. 1 indexed citations
14.
Chang, Ching‐Ter, et al.. (2012). A coordination system for seasonal demand problems in the supply chain. Applied Mathematical Modelling. 37(6). 3674–3686. 19 indexed citations
15.
Chang, Ching‐Ter, et al.. (2010). A three-echelon supply chain coordination with quantity discounts for multiple items. International Journal of Systems Science. 41(5). 561–573. 10 indexed citations
17.
Paksoy, Turan & Ching‐Ter Chang. (2010). Revised multi-choice goal programming for multi-period, multi-stage inventory controlled supply chain model with popup stores in Guerrilla marketing. Applied Mathematical Modelling. 34(11). 3586–3598. 60 indexed citations
18.
Chang, Ching‐Ter. (2007). Revised multi-choice goal programming. Applied Mathematical Modelling. 32(12). 2587–2595. 204 indexed citations
19.
Chang, Ching‐Ter. (2005). An acquisition policy for a single item multi-supplier system with real-world constraints. Applied Mathematical Modelling. 30(1). 1–9. 20 indexed citations
20.
Chang, Ching‐Ter, et al.. (2000). A linearization method for mixed 0–1 polynomial programs. Computers & Operations Research. 27(10). 1005–1016. 44 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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