Yi‐Ping Chang

898 citations
51 papers · 673 indexed · h-index 18

Yi‐Ping Chang

50 papers receiving 642 citations

Peers

Yi‐Ping Chang
Comparison fields: 5 of 132
  • Software 199
  • Safety, Risk, Reliability and Quality 166
  • Statistics and Probability 83
  • Information Systems 112
  • Finance 47
Replace Hung‐Lung Lin with:
Hung‐Lung Lin Taiwan
Xi Liu China
Li G Canada
Tiejun Pan China
Jacob W. Ulvila United States
Anne D. Henriksen United States
Roberta Siciliano Italy
İpek Deveci Kocakoç Türkiye
Kaan Katırcıoğlu United States
Wan‐Lun Wang Taiwan
Yi‐Ping Chang relative to Hung‐Lung Lin Taiwan Hung‐Lung Lin's profile →
Citations per field
00.5×9.5×
Hung‐Lung Lin · 1×
Citations per year

Countries citing papers authored by Yi‐Ping Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Ping Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Ping 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 Yi‐Ping Chang. The network helps show where Yi‐Ping Chang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 202211
3 202119
4 20215
5
Effects of Transcutaneous Electrical Acupoint Stimulation on the Postoperative Sleep Quality and Pain of Patients After Video-Assisted Thoracoscopic Surgery: A Prospective, Randomized Controlled Trial
20201
6 201724
7 20164
8 20159
9 201238
10 201219
11 201234
12 201226
13 201240
14 201132
15 20118
16 20039
17 200158
18 199738
19 199712
20 199617

About Yi‐Ping Chang

Yi‐Ping Chang is a scholar working on Software, Statistics and Probability and Safety, Risk, Reliability and Quality, having authored 51 papers that have together received 673 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (11 papers), Software Reliability and Analysis Research (11 papers), Statistical Distribution Estimation and Applications (8 papers), Credit Risk and Financial Regulations (5 papers), Advanced Statistical Methods and Models (5 papers), Tendon Structure and Treatment (4 papers), Dialysis and Renal Disease Management (4 papers) and Financial Distress and Bankruptcy Prediction (4 papers). The work is most often cited by research in Software (199 citations), Safety, Risk, Reliability and Quality (166 citations) and Statistics and Probability (83 citations). Yi‐Ping Chang has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Sy‐Yen Kuo, Wentao Huang, Ying‐Ray Lee, Chih‐Ming Lin, Chieh‐Hsiang Lu, Yi‐Wen Liu, Shih‐Che Hua, Shu‐Hsin Chen, Amanda B. Nickerson and Meagan D. O’Malley. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Human Reproduction.

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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