Su‐Fen Yang

1.2k citations
74 papers · 1.0k · h-index 17

Impact in

Papers in

Su‐Fen Yang

72 papers receiving 1.0k citations

Peers

Su‐Fen Yang
Comparison fields: 5 of 61
  • Statistics, Probability and Uncertainty 836
  • Statistics and Probability 485
  • Medical Laboratory Technology 76
  • Safety, Risk, Reliability and Quality 170
  • Software 70
Replace Cai Wen Zhang with:
Cai Wen Zhang China
Jen Tang United States
Loon‐Ching Tang Singapore
Muhammad Azam Pakistan
Bahram Sadeghpour Gildeh Iran
Amitava Mukherjee India
Jezdimir Knežević United Kingdom
S. Carlos Spain
Antônio Fernando Branco Costa Brazil
Su‐Fen Yang relative to Cai Wen Zhang China Cai Wen Zhang's profile →
Citations per field
00.5×4.4×
Cai Wen Zhang · 1×
Citations per year

Countries citing papers authored by Su‐Fen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Su‐Fen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Su‐Fen Yang, 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 Su‐Fen Yang Line = papers co-authored together Su‐Fen Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018178
2 2010116
3 201066
4 201234
5 200433
6 201329
7
Monitoring and Diagnosing Multistage Processes: A Review of Cause Selecting Control Charts
200828
8 200626
9 201023
10 201322
11 201522
12 200520
13 201519
14 199817
15 201016
16 199716
17 202216
18 201116
19 200015
20 200813

About Su‐Fen Yang

Su‐Fen Yang is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Control and Systems Engineering, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 74 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (65 papers), Scientific Measurement and Uncertainty Evaluation (34 papers), Advanced Statistical Methods and Models (32 papers), Fault Detection and Control Systems (16 papers), Optimal Experimental Design Methods (8 papers), Manufacturing Process and Optimization (7 papers), Quality and Safety in Healthcare (5 papers) and Quality and Supply Management (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (836 citations), Statistics and Probability (485 citations), Medical Laboratory Technology (76 citations), Safety, Risk, Reliability and Quality (170 citations) and Software (70 citations). Su‐Fen Yang has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Smiley W. Cheng, Rui Peng, Li Yang, Chi-Guhn Lee, Barry C. Arnold, Ying‐Chao Hung, A.H.M.A. Rahim, Chih‐Ching Yang, Li‐Pang Chen and Tsung‐Chi Cheng. Their work appears in journals such as Quality and Reliability Engineering International, The International Journal of Advanced Manufacturing Technology, Expert Systems with Applications, International Journal of Quality & Reliability Management and Sustainability.

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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