Ching-Hsin Wang

46 papers receiving 751 citations

Peers

Ching-Hsin Wang
Comparison fields: 5 of 98
  • Statistics, Probability and Uncertainty 120
  • Industrial and Manufacturing Engineering 162
  • Management Information Systems 99
  • Management Science and Operations Research 135
  • Strategy and Management 162
Replace M. Jesús Álvarez with:
M. Jesús Álvarez Spain
Canan G. Corlu United States
Melike Erdoğan Türkiye
Weiwei Chen United States
Irfan Ali India
İlker Gölcük Türkiye
Weilai Huang China
Xuting Sun China
Meimei Zheng China
Hamidreza Eskandari Iran
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Citations per year

Countries citing papers authored by Ching-Hsin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ching-Hsin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019116
2 2019103
3 201940
4 201837
5 201930
6 201730
7 201925
8 201824
9 201923
10 201222
11 201620
12 201920
13 201819
14 201918
15 201616
16 202015
17 201815
18 202214
19 202214
20 202013

About Ching-Hsin Wang

Ching-Hsin Wang is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research, Strategy and Management, Statistics, Probability and Uncertainty and Automotive Engineering, having authored 47 papers that have together received 769 indexed citations. Recurring topics across this work include Sustainable Supply Chain Management (8 papers), Advanced Statistical Process Monitoring (6 papers), Energy Load and Power Forecasting (5 papers), Advanced Battery Technologies Research (4 papers), Advanced Neural Network Applications (4 papers), Medical Image Segmentation Techniques (3 papers), Advancements in Battery Materials (3 papers) and Multi-Criteria Decision Making (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (120 citations), Industrial and Manufacturing Engineering (162 citations), Management Information Systems (99 citations), Management Science and Operations Research (135 citations) and Strategy and Management (162 citations). Ching-Hsin Wang has collaborated with scholars based in Taiwan, China and United Kingdom. Frequent co-authors include Kuen‐Suan Chen, Kim Hua Tan, Ming‐Lang Tseng, Kuo-Ping Lin, Liyi Zhang, Ling-Ling Li, Lingling Li, Yatong Zhou, Zhifeng Liu and Hsi-Tien Chen. Their work appears in journals such as Sustainability, International Journal of Production Economics, Journal of Imaging Science and Technology, Industrial Management & Data 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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