Chih‐Ching Yang

33 papers receiving 423 citations

Peers

Chih‐Ching Yang
Comparison fields: 5 of 118
  • Management Science and Operations Research 131
  • Nephrology 44
  • Finance 56
  • Economics and Econometrics 93
  • Statistics, Probability and Uncertainty 23
Replace Giovanni De Luca with:
Giovanni De Luca Italy
Filippo Domma Italy
John H. Huston United States
Brian G. Peterson United States
Pier Alda Ferrari Italy
Ming-Shu Chen Taiwan
Andrea Tancredi Italy
Kai Zhu China
Shaw‐Hwa Lo United States
Xuekui Zhang Canada
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Citations per field
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Citations per year

Countries citing papers authored by Chih‐Ching Yang

Since Specialization
Citations

This map shows the geographic impact of Chih‐Ching 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‐Ching 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‐Ching Yang more than expected).

Fields of papers citing papers by Chih‐Ching Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200846
2 200835
3 200730
4 201130
5 201627
6 201626
7 200722
8 201219
9 200818
10 201718
11 201517
12 199516
13 200914
14 201714
15 201313
16 201511
17 201110
18 20129
19 20138
20 19967

About Chih‐Ching Yang

Chih‐Ching Yang is a scholar working on Management Science and Operations Research, Statistics and Probability, Economics and Econometrics, Statistics, Probability and Uncertainty and Finance, having authored 35 papers that have together received 432 indexed citations. Recurring topics across this work include Efficiency Analysis Using DEA (10 papers), Advanced Statistical Process Monitoring (5 papers), Advanced Statistical Methods and Models (5 papers), Fuzzy Systems and Optimization (4 papers), Banking stability, regulation, efficiency (4 papers), Dialysis and Renal Disease Management (3 papers), Scientific Measurement and Uncertainty Evaluation (3 papers) and Healthcare Policy and Management (2 papers). The work is most often cited by research in Management Science and Operations Research (131 citations), Nephrology (44 citations), Finance (56 citations), Economics and Econometrics (93 citations) and Statistics, Probability and Uncertainty (23 citations). Chih‐Ching Yang has collaborated with scholars based in Taiwan, South Korea and China. Frequent co-authors include Ming‐Miin Yu, Chung‐Liang Shih, Chiang‐Ting Chien, Chau‐Fong Chen, Ming‐Chieh Ma, Ming‐Shiou Wu, Su‐Fen Yang, Tun‐Jun Tsai, Yu-Ting Cheng and Po‐Huang Lee. Their work appears in journals such as Service Industries Journal, American Journal of Nephrology, Blood Purification, Transportation Planning and Technology and Journal of Business Research.

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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