Ping-Teng Chang

1.6k citations
44 papers · 1.2k indexed · h-index 21

Impact in

Papers in

Ping-Teng Chang

41 papers receiving 1.1k citations

Peers

Ping-Teng Chang
Comparison fields: 5 of 113
  • Management Science and Operations Research 664
  • Statistics and Probability 386
  • Industrial and Manufacturing Engineering 153
  • Management Information Systems 99
  • Management of Technology and Innovation 66
Replace Tian‐Shy Liou with:
Tian‐Shy Liou Taiwan
Hélène Fargier France
Matteo Brunelli Italy
Ta‐Chung Chu Taiwan
Soheil Sadi‐Nezhad Iran
Eng Ung Choo Canada
Jaroslav Ramı́k Czechia
Dorota Kuchta Poland
Pankaj Gupta India
Deng-Feng Li China
Ping-Teng Chang relative to Tian‐Shy Liou Taiwan Tian‐Shy Liou's profile →
Citations per field
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Tian‐Shy Liou · 1×
Citations per year

Countries citing papers authored by Ping-Teng Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ping-Teng Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Ping-Teng Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ping-Teng Chang Line = papers co-authored together Ping-Teng Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20183
3 20142
4 201170
5 200922
6 200926
7 200932
8 200823
9 20069
10 200638
11 200545
12 200410
13 20009
14 199927
15
The Fuzzy Managerial Talent Assessment Model: A Pilot Study
19974
16 199540
17 199416
18 199459
19 199427
20 199474

About Ping-Teng Chang

Ping-Teng Chang is a scholar working on Statistics and Probability, Management Science and Operations Research, Control and Systems Engineering, Industrial and Manufacturing Engineering and Ecological Modeling, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (22 papers), Fuzzy Systems and Optimization (22 papers), Optimization and Mathematical Programming (14 papers), Fuzzy Logic and Control Systems (7 papers), Stock Market Forecasting Methods (4 papers), Supply Chain and Inventory Management (4 papers), Forecasting Techniques and Applications (4 papers) and Advanced Manufacturing and Logistics Optimization (3 papers). The work is most often cited by research in Management Science and Operations Research (664 citations), Statistics and Probability (386 citations), Industrial and Manufacturing Engineering (153 citations), Management Information Systems (99 citations) and Management of Technology and Innovation (66 citations). Ping-Teng Chang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include E.S. Lee, Kuo-Ping Lin, Ping‐Feng Pai, E. Stanley Lee, Liang‐Chih Huang, Kuo-Chen Hung, Yuming Lu, Stephan Konz, Kuo‐Chuan Hung and Chih‐Hsiang Lin. Their work appears in journals such as Computers & Mathematics with Applications, Fuzzy Sets and Systems, Mathematical and Computer Modelling, Expert Systems with Applications and The International Journal of Advanced Manufacturing Technology.

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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