Yuan-Chia Chu

543 total citations
40 papers, 323 citations indexed

About

Yuan-Chia Chu is a scholar working on Sensory Systems, Cognitive Neuroscience and Otorhinolaryngology. According to data from OpenAlex, Yuan-Chia Chu has authored 40 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Sensory Systems, 8 papers in Cognitive Neuroscience and 7 papers in Otorhinolaryngology. Recurrent topics in Yuan-Chia Chu's work include Hearing, Cochlea, Tinnitus, Genetics (12 papers), Hearing Loss and Rehabilitation (8 papers) and Ear Surgery and Otitis Media (7 papers). Yuan-Chia Chu is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (12 papers), Hearing Loss and Rehabilitation (8 papers) and Ear Surgery and Otitis Media (7 papers). Yuan-Chia Chu collaborates with scholars based in Taiwan, Australia and Bulgaria. Yuan-Chia Chu's co-authors include Yen‐Fu Cheng, Wen‐Huei Liao, Feipei Lai, Ying-Hui Lai, Der‐Cherng Tarng, Shuo‐Ming Ou, Ming‐Tsun Tsai, Chih‐Hao Chen, Kuo‐Hua Lee and Tzong‐Yang Tu and has published in prestigious journals such as Scientific Reports, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Yuan-Chia Chu

34 papers receiving 311 citations

Peers

Yuan-Chia Chu
Comparison fields: 5 of 95
  • Cognitive Neuroscience 93
  • Speech and Hearing 71
  • Sensory Systems 69
  • Neurology 48
  • Otorhinolaryngology 42
Replace Fida Almuhawas with:
Fida Almuhawas Saudi Arabia
Serafín Sánchez‐Gómez Spain
Chia‐Hsuan Lee Taiwan
Matthias Borowski Germany
Duy Duong Nguyên Australia
Sitthichok Chaichulee Thailand
Floor J. van Deudekom Netherlands
Yeu-Jhy Chang Taiwan
C. Créma Italy
Yu-Lun Lo Taiwan
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Citations per field, relative to Yuan-Chia Chu
Yuan-Chia Chu · 1×
Citations per year, relative to Yuan-Chia Chu
Yuan-Chia Chu · 1×

Countries citing papers authored by Yuan-Chia Chu

Since Specialization
Citations

This map shows the geographic impact of Yuan-Chia Chu'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 Yuan-Chia Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan-Chia Chu more than expected).

Fields of papers citing papers by Yuan-Chia Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan-Chia Chu. 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 Yuan-Chia Chu. The network helps show where Yuan-Chia Chu may publish in the future.

Co-authorship network of co-authors of Yuan-Chia Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan-Chia Chu. A scholar is included among the top collaborators of Yuan-Chia Chu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuan-Chia Chu. Yuan-Chia Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 4
3 0
4 0
5 2
6 2
7 2
8 5
9 23
10 2
11 8
12 7
13 16
14 6
15 29
16 7
17 22
18 17
19 35
20 4

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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