Kuo-Chen Hung

1.1k citations
61 papers · 940 · h-index 18

Impact in

Papers in

Kuo-Chen Hung

60 papers receiving 882 citations

Peers

Kuo-Chen Hung
Comparison fields: 5 of 78
  • Management Science and Operations Research 434
  • Management Information Systems 191
  • Statistics and Probability 63
  • Artificial Intelligence 113
  • Transportation 20
Replace Cerry M. Klein with:
Cerry M. Klein United States
Yasuhiro Tsujimura Japan
Barry R. Cobb United States
Ilya O. Ryzhov United States
Henry L. W. Nuttle United States
Arne Thesen United States
Huey-Ming Lee Taiwan
Zhou-Jing Wang China
Paul Grigas United States
Shyamal Kumar Mondal India
Kuo-Chen Hung relative to Cerry M. Klein United States Cerry M. Klein's profile →
Citations per field
00.5×2×2.6×
Cerry M. Klein · 1×
Citations per year

Countries citing papers authored by Kuo-Chen Hung

Since Specialization
Citations

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

Fields of papers citing papers by Kuo-Chen Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo-Chen Hung. 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 Kuo-Chen Hung. The network helps show where Kuo-Chen Hung may publish in the future.

Co-authors

The 20 scholars most cited alongside Kuo-Chen Hung, 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 Kuo-Chen Hung Line = papers co-authored together Kuo-Chen Hung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201085
2 201384
3 201461
4 201151
5 200545
6 201143
7 201443
8 201237
9 200936
10 201235
11 200629
12 201126
13 200925
14 200923
15 200821
16 201220
17 201719
18 201018
19 201118
20 200916

About Kuo-Chen Hung

Kuo-Chen Hung is a scholar working on Management Science and Operations Research, Management Information Systems, Statistics and Probability, Transportation and Health Information Management, having authored 61 papers that have together received 940 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (23 papers), Supply Chain and Inventory Management (12 papers), Fuzzy and Soft Set Theory (9 papers), Fuzzy Systems and Optimization (6 papers), Advanced Clustering Algorithms Research (3 papers), Forecasting Techniques and Applications (3 papers), Transportation Planning and Optimization (3 papers) and Grey System Theory Applications (3 papers). The work is most often cited by research in Management Science and Operations Research (434 citations), Management Information Systems (191 citations), Statistics and Probability (63 citations), Artificial Intelligence (113 citations) and Transportation (20 citations). Kuo-Chen Hung has collaborated with scholars based in Taiwan, United States and Philippines. Frequent co-authors include Kuo-Ping Lin, Ping-Teng Chang, Ping‐Feng Pai, Chih‐Hung Jen, Ming‐Chang Wu, Peter Chu, Yiyo Kuo, Shuo‐Yan Chou, Yu‐Ting Lin and Kuei‐Hu Chang. Their work appears in journals such as Expert Systems with Applications, Applied Mathematical Modelling, Knowledge-Based Systems, IEEE Transactions on Fuzzy Systems and Journal of Testing and Evaluation.

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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