Te-Min Chang

23 papers and 221 indexed citations i.

About

Te-Min Chang is a scholar working on Management Science and Operations Research, Artificial Intelligence and Accounting. According to data from OpenAlex, Te-Min Chang has authored 23 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Science and Operations Research, 9 papers in Artificial Intelligence and 5 papers in Accounting. Recurrent topics in Te-Min Chang’s work include Stock Market Forecasting Methods (7 papers), Financial Distress and Bankruptcy Prediction (4 papers) and Supply Chain Resilience and Risk Management (3 papers). Te-Min Chang is often cited by papers focused on Stock Market Forecasting Methods (7 papers), Financial Distress and Bankruptcy Prediction (4 papers) and Supply Chain Resilience and Risk Management (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, Hao-Yun Kao, Jen‐Her Wu, Hsin‐Hui Lin, Yu‐Feng Su, Erwin Thomas, Jhih‐Hong Zeng and Yuliang Sun and has published in prestigious journals such as Computers in Human Behavior, Expert Systems with Applications and Information Sciences.

In The Last Decade

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

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.

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).

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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2025