Yi‐Ting Chen

1.0k citations
20 papers · 732 · 1 hit paper · h-index 11

Impact in

Papers in

Yi‐Ting Chen

18 papers receiving 722 citations

Yi‐Ting Chen's Hit Papers

Prediction of the development of acute kidney injury following cardiac surgery by machine learning 2020 · 328 citations
3280+2+4Years since publication100200300

Peers

Yi‐Ting Chen
Comparison fields: 5 of 112
  • Health Informatics 38
  • Nephrology 89
  • Physiology 106
  • Endocrine and Autonomic Systems 23
  • Pulmonary and Respiratory Medicine 92
Replace Nicola Virtuoso with:
Nicola Virtuoso Italy
Chih-Min Su Taiwan
Mira Kang South Korea
Roberto Bizzotto Italy
Prasanna Santhanam United States
Lana Catani Ferreira Pinto Brazil
Jonathan Adam Germany
Dina Mansour Aly Sweden
Brian L. VanderBeek United States
Peter Henry Scanlon United Kingdom
Yi‐Ting Chen relative to Nicola Virtuoso Italy Nicola Virtuoso's profile →
Citations per field
00.5×2×4×6×8×9×
Nicola Virtuoso · 1×
Citations per year

Countries citing papers authored by Yi‐Ting Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Ting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Prediction of the development of acute kidney injury following cardiac surgery by machine learning
Hit paper breakdown →
2020328
2 201588
3 202161
4 201153
5 201752
6 201939
7 202126
8 201724
9 201116
10 200711
11 201611
12 20175
13 20214
14 20224
15 20183
16 20223
17 20072
18 20082
19 20250
20 20150

About Yi‐Ting Chen

Yi‐Ting Chen is a scholar working on Physiology, Immunology, Artificial Intelligence, Oral Surgery and Oncology, having authored 20 papers that have together received 732 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers), Speech Recognition and Synthesis (2 papers), Obstructive Sleep Apnea Research (1 paper), COVID-19 diagnosis using AI (1 paper), Estrogen and related hormone effects (1 paper), Bone Tumor Diagnosis and Treatments (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Health Informatics (38 citations), Nephrology (89 citations), Physiology (106 citations), Endocrine and Autonomic Systems (23 citations) and Pulmonary and Respiratory Medicine (92 citations). Yi‐Ting Chen has collaborated with scholars based in Taiwan, France and China. Frequent co-authors include Oscar Kuang‐Sheng Lee, Shih-Ping Hsu, Kuan‐Ming Chiu, Yang Chih-Yu, Hsing-Hsien Cheng, Chun-Yu Liu, Tzu‐Ting Huang, Ling‐Ming Tseng, Shyue‐Yih Chang and Min-Yu Chang. Their work appears in journals such as EBioMedicine, Critical Care, PLoS ONE, SLEEP and Developmental Neurobiology.

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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