Yung-Chia Chang

91 papers receiving 1.9k citations

Peers

Yung-Chia Chang
Comparison fields: 5 of 159
  • Management Science and Operations Research 407
  • Industrial and Manufacturing Engineering 397
  • Statistics, Probability and Uncertainty 325
  • Materials Chemistry 310
  • Renewable Energy, Sustainability and the Environment 259
Replace Chun Su with:
Chun Su China
Sang Chan Park South Korea
Peter Sandborn United States
Abdul Raouf Canada
Morten Lind Denmark
Hua Ke China
Ali E. Abbas United States
Minqiang Li China
Stefan Wagner Germany
Masaaki Kijima Japan
Yung-Chia Chang relative to Chun Su China Chun Su's profile →
Citations per field
00.5×1.7×
Chun Su · 1×
Citations per year

Countries citing papers authored by Yung-Chia Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yung-Chia Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yung-Chia Chang. 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 Yung-Chia Chang. The network helps show where Yung-Chia Chang may publish in the future.

Co-authorship network of co-authors of Yung-Chia Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yung-Chia Chang. A scholar is included among the top collaborators of Yung-Chia Chang 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 Yung-Chia Chang. Yung-Chia Chang 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 0
2 1
3 3
4
A NOVEL NETWORK SIMULATION SOFTWARE FOR SUPPLY CHAIN MANAGEMENT COURSES
2
5 2
6 16
7 3
8 26
9 6
10 28
11 54
12
AN INNOVATIVE APPROACH INTEGRATING 2-TUPLE AND LOWGA OPERATORS IN PROCESS FAILURE MODE AND EFFECTS ANALYSIS
21
13 6
14 12
15 1
16 10
17 2
18 3
19 12
20 9

About Yung-Chia Chang

Yung-Chia Chang is a scholar working on Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 98 papers that have together received 2.0k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (14 papers), Multi-Criteria Decision Making (11 papers) and Advanced Statistical Process Monitoring (11 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (325 citations), Industrial and Manufacturing Engineering (397 citations) and Management Science and Operations Research (407 citations). Yung-Chia Chang has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Kuei‐Hu Chang, Chung-Yee Lee, Eric Wei‐Guang Diau, Ching‐Hsue Cheng, Huiping Wu, Chien‐Wei Wu, Hsien‐Yu Peng, Ching‐Yao Lin, Chin‐Li Wang and Jia‐Wei Shiu. Their work appears in journals such as ACS Nano, Energy & Environmental Science and PLoS ONE.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026