Ching-Ho Yen

425 citations
23 papers · 371 · h-index 10

Impact in

Papers in

Ching-Ho Yen

23 papers receiving 368 citations

Peers

Ching-Ho Yen
Comparison fields: 5 of 28
  • Statistics, Probability and Uncertainty 349
  • Statistics and Probability 171
  • Management Science and Operations Research 174
  • Industrial and Manufacturing Engineering 131
  • Safety, Risk, Reliability and Quality 30
Replace P. C. Lin with:
P. C. Lin Taiwan
Shih‐Wen Liu Taiwan
To‐Cheng Wang Taiwan
P. Jeyadurga India
Fong‐Jung Yu Taiwan
Munir Ahmad Pakistan
Mahendra Saha India
V. Kuralmani India
Chau‐Chen Torng Taiwan
Osama H. Arif Saudi Arabia
Ching-Ho Yen relative to P. C. Lin Taiwan P. C. Lin's profile →
Citations per field
00.5×6.2×
P. C. Lin · 1×
Citations per year

Countries citing papers authored by Ching-Ho Yen

Since Specialization
Citations

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

Fields of papers citing papers by Ching-Ho Yen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Ching-Ho Yen, 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-Ho Yen Line = papers co-authored together Ching-Ho Yen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201459
2 201153
3 201344
4 200943
5 201432
6 201327
7 201725
8 201224
9 202011
10 201910
11 20148
12 20157
13 20107
14 20236
15 20125
16 20103
17 20131
18 20181
19 20121
20 20181

About Ching-Ho Yen

Ching-Ho Yen is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research, Industrial and Manufacturing Engineering, Statistics and Probability and Management Information Systems, having authored 23 papers that have together received 371 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (17 papers), Optimal Experimental Design Methods (11 papers), Industrial Vision Systems and Defect Detection (6 papers), Scientific Measurement and Uncertainty Evaluation (4 papers), Advanced Statistical Methods and Models (3 papers), Statistical Distribution Estimation and Applications (2 papers), Manufacturing Process and Optimization (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (349 citations), Statistics and Probability (171 citations), Management Science and Operations Research (174 citations), Industrial and Manufacturing Engineering (131 citations) and Safety, Risk, Reliability and Quality (30 citations). Ching-Ho Yen has collaborated with scholars based in Taiwan, South Korea and Pakistan. Frequent co-authors include Chia‐Hao Chang, Muhammad Aslam, Chi‐Hyuck Jun, Chun‐Chia Lee, Munir Ahmad, Ali Hussein AL-Marshadi, Mei‐Yen Chen, Yeou-Ren Shiue, Shuhua Li and W. L. Pearn. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, IEEE Access, Journal of Statistical Computation and Simulation, Applied Mathematical Modelling and BMC Public Health.

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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