Wen‐Huei Liao

32 papers receiving 442 citations

Peers

Wen‐Huei Liao
Comparison fields: 5 of 67
  • Otorhinolaryngology 158
  • Sensory Systems 85
  • Neurology 104
  • Speech and Hearing 25
  • Cognitive Neuroscience 68
Replace Hans G. X. M. Thomeer with:
Hans G. X. M. Thomeer Netherlands
Rafael da Costa Monsanto Brazil
Joost van Dinther Belgium
Francesca Atturo Italy
G Babighian Italy
Soha N. Ghossaini United States
Kozo Kumakawa Japan
Yehree Kim South Korea
Charles M. Luetje United States
Sun O Chang South Korea
Wen‐Huei Liao relative to Hans G. X. M. Thomeer Netherlands Hans G. X. M. Thomeer's profile →
Citations per field
00.5×3.4×
Hans G. X. M. Thomeer · 1×
Citations per year

Countries citing papers authored by Wen‐Huei Liao

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Huei Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Huei Liao. 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 Wen‐Huei Liao. The network helps show where Wen‐Huei Liao may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201455
2 201237
3 201935
4 200032
5 201832
6 202230
7 201623
8 201322
9 201220
10 201018
11 202017
12 200917
13 200815
14 200015
15 201110
16 20189
17 20108
18 20187
19 20206
20
Using high resolution computed tomography to evaluate middle ear cleft aeration of postoperative cholesteatoma ears.
20036

About Wen‐Huei Liao

Wen‐Huei Liao is a scholar working on Otorhinolaryngology, Neurology, Cognitive Neuroscience, Sensory Systems and Speech and Hearing, having authored 35 papers that have together received 447 indexed citations. Recurring topics across this work include Ear Surgery and Otitis Media (13 papers), Vestibular and auditory disorders (9 papers), Hearing Loss and Rehabilitation (7 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers), Noise Effects and Management (3 papers), Ear and Head Tumors (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Cleft Lip and Palate Research (2 papers). The work is most often cited by research in Otorhinolaryngology (158 citations), Sensory Systems (85 citations), Neurology (104 citations), Speech and Hearing (25 citations) and Cognitive Neuroscience (68 citations). Wen‐Huei Liao has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include An‐Suey Shiao, Chin‐Lung Kuo, Tzong‐Yang Tu, Yen‐Fu Cheng, Yuan-Chia Chu, Ching‐Yin Ho, Mao-Che Wang, Chiang-Feng Lien, Ying-Hui Lai and Bruno Frachet. Their work appears in journals such as Audiology and Neurotology, Hearing Research, The Laryngoscope, JMIR mhealth and uhealth and Journal of Personalized Medicine.

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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