Te-Min Chang

409 total citations
28 papers, 299 citations indexed

About

Te-Min Chang is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Te-Min Chang has authored 28 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Management Science and Operations Research and 8 papers in Information Systems. Recurrent topics in Te-Min Chang's work include Stock Market Forecasting Methods (6 papers), Financial Distress and Bankruptcy Prediction (4 papers) and Neural Networks and Applications (3 papers). Te-Min Chang is often cited by papers focused on Stock Market Forecasting Methods (6 papers), Financial Distress and Bankruptcy Prediction (4 papers) and Neural Networks and Applications (3 papers). Te-Min Chang collaborates with scholars based in Taiwan and United States. Te-Min Chang's co-authors include Yuehwern Yih, Sin‐Jin Lin, Ming-Fu Hsu, Keng‐Pei Lin, Hsin‐Hui Lin, Chih-Ya Shen, Jen‐Her Wu, Hao-Yun Kao, Yu‐Feng Su and Erwin Thomas and has published in prestigious journals such as Computers in Human Behavior, Expert Systems with Applications and Information Sciences.

In The Last Decade

Te-Min Chang

27 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Te-Min Chang Taiwan 11 96 91 62 46 40 28 299
Shuning Wu China 5 127 1.3× 21 0.2× 81 1.3× 37 0.8× 16 0.4× 13 263
Viara Popova Netherlands 9 86 0.9× 26 0.3× 106 1.7× 58 1.3× 160 4.0× 17 317
Stefan Weß Germany 9 251 2.6× 36 0.4× 98 1.6× 21 0.5× 40 1.0× 21 359
Kamalendu Pal United Kingdom 8 48 0.5× 42 0.5× 93 1.5× 21 0.5× 55 1.4× 19 220
Herwig Mannaert Belgium 9 86 0.9× 43 0.5× 151 2.4× 17 0.4× 78 1.9× 48 302
Marjan Krisper Slovenia 11 119 1.2× 45 0.5× 234 3.8× 43 0.9× 204 5.1× 31 428
Dongmei Zhang China 9 77 0.8× 33 0.4× 26 0.4× 8 0.2× 11 0.3× 42 319
Dongmo Zhang Australia 13 264 2.8× 55 0.6× 23 0.4× 85 1.8× 23 0.6× 55 425
Özden Gür Ali Türkiye 9 63 0.7× 17 0.2× 43 0.7× 137 3.0× 48 1.2× 20 304
Hironori Takeuchi Japan 8 151 1.6× 9 0.1× 83 1.3× 26 0.6× 60 1.5× 40 310

Countries citing papers authored by Te-Min Chang

Since Specialization
Citations

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

Fields of papers citing papers by Te-Min Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Te-Min 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 Te-Min Chang. The network helps show where Te-Min Chang may publish in the future.

Co-authorship network of co-authors of Te-Min Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Te-Min Chang. A scholar is included among the top collaborators of Te-Min 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 Te-Min Chang. Te-Min 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.
Lin, Sin‐Jin, Jhih‐Hong Zeng, Te-Min Chang, & Ming-Fu Hsu. (2023). Linguistic complexity consideration for advanced risk decision making and handling. Research in International Business and Finance. 69. 102199–102199. 5 indexed citations
2.
Lin, Sin‐Jin, Te-Min Chang, & Ming-Fu Hsu. (2023). Valuing and Risk Analysis for Supply Chain Management. Journal of Global Information Management. 31(1). 1–25. 3 indexed citations
3.
Chang, Te-Min, et al.. (2019). NEWS-BASED SOFT INFORMATION AS A CORPORATE COMPETITIVE ADVANTAGE. Technological and Economic Development of Economy. 26(1). 48–70. 10 indexed citations
4.
Lin, Sin‐Jin, et al.. (2019). An emerging online business decision making architecture in a dynamic economic environment. Journal of Intelligent & Fuzzy Systems. 37(2). 1893–1903. 7 indexed citations
5.
6.
7.
Chang, Te-Min, et al.. (2017). Integrated news mining technique and AI-based mechanism for corporate performance forecasting. Information Sciences. 424. 273–286. 28 indexed citations
8.
Lin, Keng‐Pei, et al.. (2017). A Consumer Review-Driven Recommender Service for Web E-Commerce. 206–210. 15 indexed citations
9.
Chang, Te-Min, et al.. (2016). Salient corporate performance forecasting based on financial and textual information. 3. 959–964. 2 indexed citations
10.
Chang, Te-Min & Ming-Fu Hsu. (2016). Integration of incremental filter-wrapper selection strategy with artificial intelligence for enterprise risk management. International Journal of Machine Learning and Cybernetics. 9(3). 477–489. 11 indexed citations
11.
Chang, Te-Min, Hao-Yun Kao, Jen‐Her Wu, & Yu‐Feng Su. (2015). Improving physicians' performance with a stroke CDSS: A cognitive fit design approach. Computers in Human Behavior. 54. 577–586. 10 indexed citations
12.
Chang, Te-Min, et al.. (2015). Hybrid Segmentation Strategy and Multi-Agent SVMs for Corporate Risk Management in Class Imbalanced Situations. Journal of Testing and Evaluation. 44(3). 1364–1375. 4 indexed citations
13.
Chang, Te-Min, et al.. (2014). LDA-BASED GROUP DOCUMENT RECOMMENDATION. Journal of the Association for Information Systems. 299. 2 indexed citations
14.
Chang, Te-Min, et al.. (2014). Extracting bibliographical data for PDF documents with HMM and external resources. Program electronic library and information systems. 48(3). 293–313. 3 indexed citations
15.
Chang, Te-Min, et al.. (2008). A hybrid approach to automatic text summarization. 65–70. 16 indexed citations
16.
Chang, Te-Min, et al.. (2007). An incremental cluster-based approach to spam filtering. Expert Systems with Applications. 34(3). 1599–1608. 45 indexed citations
17.
Chang, Te-Min & Yuehwern Yih. (1999). Constructing a Fuzzy Rule System from Examples. Integrated Computer-Aided Engineering. 6(3). 213–222. 2 indexed citations
18.
Chang, Te-Min & Yuehwern Yih. (1998). A fuzzy rule-based approach for dynamic control of kanbans in a generic kanban system. International Journal of Production Research. 36(8). 2247–2257. 11 indexed citations
19.
Chang, Te-Min & Yuehwern Yih. (1994). Determining the number of kanbans and lotsizes in a generic kanban system: a simulated annealing approach. International Journal of Production Research. 32(8). 1991–2004. 25 indexed citations
20.
Chang, Te-Min, et al.. (1979). Choledochitis: a lesson in applied physiology.. BMJ. 2(6205). 1627.2–1628. 3 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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