Chien‐Wei Wu

5.7k citations
205 papers · 4.8k indexed · h-index 37

Impact in

Papers in

Chien‐Wei Wu

194 papers receiving 4.7k citations

Peers

Chien‐Wei Wu
Comparison fields: 5 of 143
  • Statistics, Probability and Uncertainty 2.9k
  • Industrial and Manufacturing Engineering 1.3k
  • Management Science and Operations Research 1.4k
  • Statistics and Probability 952
  • Management Information Systems 411
Replace Shiyu Zhou with:
Shiyu Zhou United States
M. S. Phadke United States
Chun Su China
Thomas R. Bement United States
Lee‐Ing Tong Taiwan
Simme Douwe P. Flapper Netherlands
Saddam Akber Abbasi Qatar
Shahrul Kamaruddin Malaysia
Shuguang He China
P. D. T. O’Connor United States
Chien‐Wei Wu relative to Shiyu Zhou United States Shiyu Zhou's profile →
Citations per field
00.5×7.2×
Shiyu Zhou · 1×
Citations per year

Countries citing papers authored by Chien‐Wei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Wei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Wei Wu. 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 Chien‐Wei Wu. The network helps show where Chien‐Wei Wu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20243
3 20240
4 20244
5 20233
6 20158
7 201433
8 201470
9 201312
10 201210
11 201230
12 201018
13 200911
14 200826
15 20069
16 200670
17 200620
18 200430
19 200412
20 200439

About Chien‐Wei Wu

Chien‐Wei Wu is a scholar working on Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering, Management Science and Operations Research, Statistics and Probability and Medical Laboratory Technology, having authored 205 papers that have together received 4.8k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (144 papers), Optimal Experimental Design Methods (68 papers), Industrial Vision Systems and Defect Detection (52 papers), Scientific Measurement and Uncertainty Evaluation (41 papers), Advanced Statistical Methods and Models (30 papers), Fault Detection and Control Systems (19 papers), Manufacturing Process and Optimization (18 papers) and Mineral Processing and Grinding (14 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (2.9k citations), Industrial and Manufacturing Engineering (1.3k citations), Management Science and Operations Research (1.4k citations), Statistics and Probability (952 citations) and Management Information Systems (411 citations). Chien‐Wei Wu has collaborated with scholars based in Taiwan, United States and Indonesia. Frequent co-authors include W. L. Pearn, Shih‐Wen Liu, Ming‐Hung Shu, I‐Wen Peter Chen, Amy H.I. Lee, Chih‐Ching Huang, Huan‐Tsung Chang, Samuel Kotz, Muhammad Aslam and Chi‐Hyuck Jun. Their work appears in journals such as International Journal of Production Research, The International Journal of Advanced Manufacturing Technology, Quality and Reliability Engineering International, Annals of Operations Research and Quality Engineering.

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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