Ching-Chin Chern

37 papers receiving 856 citations

Peers

Ching-Chin Chern
Comparison fields: 5 of 110
  • Management Science and Operations Research 241
  • Sociology and Political Science 176
  • Industrial and Manufacturing Engineering 156
  • Management Information Systems 133
  • Strategy and Management 130
Replace Hsin‐Pin Fu with:
Hsin‐Pin Fu Taiwan
Tsung‐Sheng Chang Taiwan
Ming‐Tsang Lu Taiwan
Gerhard Satzger Germany
Holmes E. Miller United States
Rudolf Vetschera Austria
Jun-Der Leu Taiwan
Chi-Yo Huang Taiwan
Guisseppi A. Forgionne United States
Ching-Chin Chern relative to Hsin‐Pin Fu Taiwan Hsin‐Pin Fu's profile →
Citations per field
00.5×1.5×1.9×
Hsin‐Pin Fu · 1×
Citations per year

Countries citing papers authored by Ching-Chin Chern

Since Specialization
Citations

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

Fields of papers citing papers by Ching-Chin Chern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching-Chin Chern. 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 Ching-Chin Chern. The network helps show where Ching-Chin Chern may publish in the future.

Co-authorship network of co-authors of Ching-Chin Chern

This figure shows the co-authorship network connecting the top 25 collaborators of Ching-Chin Chern. A scholar is included among the top collaborators of Ching-Chin Chern based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ching-Chin Chern. Ching-Chin Chern is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 3
3 30
4 4
5 7
6 32
7 6
8 10
9 16
10 1
11 32
12 69
13 138
14 96
15 11
16 51
17 39
18 35
19
Development of a DSS to Estimate the Sales for the Retailing Industry in Taiwan
1
20 13

About Ching-Chin Chern

Ching-Chin Chern is a scholar working on Management Science and Operations Research, Management Information Systems and Industrial and Manufacturing Engineering, having authored 38 papers that have together received 903 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (7 papers), Efficiency Analysis Using DEA (7 papers) and Supply Chain and Inventory Management (5 papers). The work is most often cited by research in Management Science and Operations Research (241 citations), Industrial and Manufacturing Engineering (156 citations) and Information Systems and Management (108 citations). Ching-Chin Chern has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Houn‐Gee Chen, Bo Hsiao, Yuchen Chen, Li-Yueh Chen, Ming‐Miin Yu, Yu‐Qian Zhu, Ching‐Ren Chiu, Chun‐Che Huang, Tzu-Liang Tseng and Yung‐ho Chiu. Their work appears in journals such as European Journal of Operational Research, Computers in Human Behavior and Expert Systems with Applications.

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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