Yan‐Hui Lin

1.6k citations
67 papers · 1.2k indexed · h-index 20

Impact in

Papers in

Yan‐Hui Lin

63 papers receiving 1.2k citations

Peers

Yan‐Hui Lin
Comparison fields: 5 of 107
  • Safety, Risk, Reliability and Quality 412
  • Statistics, Probability and Uncertainty 265
  • Software 103
  • Control and Systems Engineering 468
  • Automotive Engineering 146
Replace Mohamed-Salah Ouali with:
Mohamed-Salah Ouali Canada
Xiaolei Fang United States
Kondo H. Adjallah France
Jilun Tian China
Jong‐Min Lee South Korea
Rui Teixeira Ireland
Zhichao Feng China
Patrice Aknin France
Shuai Tan China
Yan‐Hui Lin relative to Mohamed-Salah Ouali Canada Mohamed-Salah Ouali's profile →
Citations per field
00.5×4.8×
Mohamed-Salah Ouali · 1×
Citations per year

Countries citing papers authored by Yan‐Hui Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yan‐Hui Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan‐Hui Lin. 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 Yan‐Hui Lin. The network helps show where Yan‐Hui Lin may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20259
4 20251
5 20251
6 202412
7 20241
8 20242
9 20235
10 20232
11 20233
12 202247
13 20226
14 202217
15 202113
16 202116
17 20214
18 20211
19 20172
20 201311

About Yan‐Hui Lin

Yan‐Hui Lin is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Horticulture, Software and Control and Systems Engineering, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (23 papers), Risk and Safety Analysis (10 papers), Fault Detection and Control Systems (9 papers), Machine Fault Diagnosis Techniques (9 papers), Probabilistic and Robust Engineering Design (8 papers), Advanced Battery Technologies Research (7 papers), Soybean genetics and cultivation (4 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (412 citations), Statistics, Probability and Uncertainty (265 citations), Software (103 citations), Control and Systems Engineering (468 citations) and Automotive Engineering (146 citations). Yan‐Hui Lin has collaborated with scholars based in China, Italy and France. Frequent co-authors include Yan‐Fu Li, Enrico Zio, C.-S. Chen, Chih‐Wen Liu, Liang Chang, Rui Kang, Xudong Li, Yang Hu, Ran Xu and Yan Wei. Their work appears in journals such as Reliability Engineering & System Safety, IEEE Transactions on Reliability, IEEE Transactions on Instrumentation and Measurement, Scientific Reports and IEEE Transactions on Industrial Informatics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026