Chao‐Ton Su

4.4k citations
132 papers · 3.4k indexed · h-index 31

Impact in

Papers in

Chao‐Ton Su

131 papers receiving 3.2k citations

Peers

Chao‐Ton Su
Comparison fields: 5 of 158
  • Industrial and Manufacturing Engineering 1.2k
  • Management Information Systems 621
  • Management Science and Operations Research 533
  • Strategy and Management 540
  • Management of Technology and Innovation 221
Replace G.T.S. Ho with:
G.T.S. Ho Hong Kong
Duncan McFarlane United Kingdom
Toly Chen Taiwan
Rakesh Nagi United States
Francesco Longo Italy
Saeed Zolfaghari Canada
C.K. Kwong Hong Kong
Ratna Babu Chinnam United States
Jiafu Tang China
Kai Yang United States
Chao‐Ton Su relative to G.T.S. Ho Hong Kong G.T.S. Ho's profile →
Citations per field
00.5×1.6×
G.T.S. Ho · 1×
Citations per year

Countries citing papers authored by Chao‐Ton Su

Since Specialization
Citations

This map shows the geographic impact of Chao‐Ton Su'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 Chao‐Ton Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao‐Ton Su more than expected).

Fields of papers citing papers by Chao‐Ton Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao‐Ton Su. 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 Chao‐Ton Su. The network helps show where Chao‐Ton Su may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
ADOPTING THE HEALTHCARE FAILURE MODE AND EFFECT ANALYSIS TO IMPROVE THE BLOOD TRANSFUSION PROCESSES
20121
2 20124
3 201143
4
Applying Hierarchical Genetic Algorithm Based Neural Network and Multiple Objective Evolutionary Algorithm to Optimize Parameter Design with Dynamic Characteristics
20104
5 201056
6 201057
7 201029
8 200919
9 200818
10 200728
11 200697
12 20054
13 2005143
14 200312
15 200221
16 200211
17 20007
18
A PRODUCTION INVENTORY MODEL FOR VARIABLE DEMAND AND PRODUCTION
19992
19 19981
20 199859

About Chao‐Ton Su

Chao‐Ton Su is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems, Statistics, Probability and Uncertainty, Management Science and Operations Research and Management of Technology and Innovation, having authored 132 papers that have together received 3.4k indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (33 papers), Manufacturing Process and Optimization (21 papers), Scheduling and Optimization Algorithms (14 papers), Optimal Experimental Design Methods (13 papers), Quality and Supply Management (13 papers), Imbalanced Data Classification Techniques (12 papers), Advanced Statistical Process Monitoring (11 papers) and Advanced Manufacturing and Logistics Optimization (11 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.2k citations), Management Information Systems (621 citations), Management Science and Operations Research (533 citations), Strategy and Management (540 citations) and Management of Technology and Innovation (221 citations). Chao‐Ton Su has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yu‐Hsiang Hsiao, Tai-Lin Chiang, Yeou-Ren Shiue, Chih‐Hung Tsai, Hung‐Chang Liao, Taho Yang, Lifei Chen, Chih‐Ming Hsu, Lee‐Ing Tong and Pa‐Chun Wang. Their work appears in journals such as IEEE Transactions on Semiconductor Manufacturing, The International Journal of Advanced Manufacturing Technology, Total Quality Management & Business Excellence, International Journal of Quality & Reliability Management and International Journal of Production 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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