Chih-Te Yang

2.3k citations
58 papers · 1.8k · h-index 21

Impact in

Papers in

Chih-Te Yang

55 papers receiving 1.7k citations

Peers

Chih-Te Yang
Comparison fields: 5 of 74
  • Management Information Systems 1.6k
  • Strategy and Management 1.4k
  • Industrial and Manufacturing Engineering 522
  • Marketing 213
  • Management Science and Operations Research 163
Replace K. Skouri with:
K. Skouri Greece
Md. Al‐Amin Khan Bangladesh
Ioannis Konstantaras Greece
Chung-Yuan Dye Taiwan
Gerardo Treviño-Garza Mexico
Yannick Frein France
P.L. Abad Canada
Gour Chandra Mahata India
Amalesh Kumar Manna India
Moueen K. Salameh Lebanon
Chih-Te Yang relative to K. Skouri Greece K. Skouri's profile →
Citations per field
00.5×
K. Skouri · 1×
Citations per year

Countries citing papers authored by Chih-Te Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chih-Te Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chih-Te Yang, 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 Chih-Te Yang Line = papers co-authored together Chih-Te Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005312
2 2006202
3 2015143
4 2007131
5 2015124
6 201590
7 202070
8 201465
9 201961
10 202250
11 201347
12 200947
13 201547
14 201745
15 200944
16 202030
17 201230
18 200827
19 201426
20 201325

About Chih-Te Yang

Chih-Te Yang is a scholar working on Management Information Systems, Strategy and Management, Industrial and Manufacturing Engineering, Control and Systems Engineering and Marketing, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (47 papers), Sustainable Supply Chain Management (45 papers), Scheduling and Optimization Algorithms (12 papers), Optimization and Mathematical Programming (7 papers), Energy, Environment, and Transportation Policies (5 papers), Quality and Supply Management (4 papers), Consumer Market Behavior and Pricing (3 papers) and Management and Optimization Techniques (2 papers). The work is most often cited by research in Management Information Systems (1.6k citations), Strategy and Management (1.4k citations), Industrial and Manufacturing Engineering (522 citations), Marketing (213 citations) and Management Science and Operations Research (163 citations). Chih-Te Yang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Liang‐Yuh Ouyang, Kun‐Shan Wu, Chung-Yuan Dye, Chi-Jie Lu, Suresh Kumar Goyal, Jinn‐Tsair Teng, Ji‐Feng Ding, Tian‐Shyug Lee, Chi‐Chuan Wu and Chia-Huei Ho. Their work appears in journals such as European Journal of Operational Research, Computers & Industrial Engineering, International Journal of Production Economics, Journal of Industrial and Management Optimization and Omega.

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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