Yen‐Ting Yu

613 citations
30 papers · 466 · h-index 11

Impact in

Papers in

Yen‐Ting Yu

26 papers receiving 452 citations

Peers

Yen‐Ting Yu
Comparison fields: 5 of 73
  • Pediatrics, Perinatology and Child Health 175
  • Industrial and Manufacturing Engineering 68
  • General Decision Sciences 11
  • Cognitive Neuroscience 101
  • Hardware and Architecture 34
Replace Giuseppe Massimo Bernava with:
Giuseppe Massimo Bernava Italy
Marc Buchner United States
Robert A. North United States
Sally Whelan Ireland
José Tiberio Hernández Colombia
Ora Oudgenoeg‐Paz Netherlands
Elena Kokkoni United States
Panagiotis E. Antoniou Greece
Barbara Frank Germany
Yen‐Ting Yu relative to Giuseppe Massimo Bernava Italy Giuseppe Massimo Bernava's profile →
Citations per field
00.5×10×17×
Giuseppe Massimo Bernava · 1×
Citations per year

Countries citing papers authored by Yen‐Ting Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yen‐Ting Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013108
2 201580
3 201746
4 201340
5 201435
6 200325
7 200721
8 201920
9 201914
10 200314
11 202013
12 201110
13 20227
14 20236
15 20196
16 20133
17 20232
18 20232
19 20222
20 20202

About Yen‐Ting Yu

Yen‐Ting Yu is a scholar working on Cognitive Neuroscience, Pediatrics, Perinatology and Child Health, Developmental and Educational Psychology, Psychiatry and Mental health and Computer Networks and Communications, having authored 30 papers that have together received 466 indexed citations. Recurring topics across this work include Infant Development and Preterm Care (9 papers), Autism Spectrum Disorder Research (8 papers), Behavioral and Psychological Studies (6 papers), Neural and Behavioral Psychology Studies (5 papers), Child and Animal Learning Development (4 papers), Child Nutrition and Feeding Issues (3 papers), Caching and Content Delivery (3 papers) and Neonatal and fetal brain pathology (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (175 citations), Industrial and Manufacturing Engineering (68 citations), General Decision Sciences (11 citations), Cognitive Neuroscience (101 citations) and Hardware and Architecture (34 citations). Yen‐Ting Yu has collaborated with scholars based in Taiwan, United States and Switzerland. Frequent co-authors include Shulan Hsieh, Iris Hui-Ru Jiang, Charles Chiang, Suh‐Fang Jeng, Wu‐Shiun Hsieh, Li‐Chiou Chen, Ying‐Chin Wu, Nan‐Chang Chiu, Chyong-Hsin Hsu and Wang‐Tso Lee. Their work appears in journals such as Research in Developmental Disabilities, Research in autism spectrum disorders, Physical Therapy, American Journal of Occupational Therapy and Autism Research.

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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