Chi‐Te Wang
Impact in
- Otorhinolaryngology top 2%
- Head and Neck Cancer Studies
- Neurology top 2%
- Vestibular and auditory disorders
Papers in
- Physiology 43
- Voice and Speech Disorders 42
- Neurology 10
- Vestibular and auditory disorders 10
- Co-authors
- Li‐Jen Liao (29 shared papers)Po‐Wen Cheng (32 shared papers)Mei‐Shu Lai (10 shared papers)Wu‐Chia Lo (24 shared papers)Yi‐Ho Young (12 shared papers)Feng‐Chuan Lin (13 shared papers)Wan‐Lun Hsu (4 shared papers)Shih‐Hau Fang (10 shared papers)
- Journals
- The Laryngoscope (7 papers)Journal of Voice (7 papers)Otolaryngology (5 papers)Head & Neck (4 papers)Ear and Hearing (4 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chi‐Te Wang
80 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 92
- Otorhinolaryngology 312
- Neurology 300
- Physiology 668
- Health Informatics 21
- Radiology, Nuclear Medicine and Imaging 125
Countries citing papers authored by Chi‐Te Wang
This map shows the geographic impact of Chi‐Te Wang'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 Chi‐Te Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi‐Te Wang more than expected).
Fields of papers citing papers by Chi‐Te Wang
This network shows the impact of papers produced by Chi‐Te Wang. 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 Chi‐Te Wang. The network helps show where Chi‐Te Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi‐Te Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 206 | |
| 2 | 2012 | 186 | |
| 3 | 2006 | 67 | |
| 4 | 2012 | 58 | |
| 5 | 2007 | 51 | |
| 6 | 2015 | 47 | |
| 7 | 2013 | 45 | |
| 8 | 2009 | 42 | |
| 9 | 2008 | 41 | |
| 10 | 2008 | 41 | |
| 11 | 2014 | 41 | |
| 12 | 2006 | 40 | |
| 13 | 2020 | 38 | |
| 14 | 2013 | 36 | |
| 15 | 2013 | 36 | |
| 16 | 2013 | 35 | |
| 17 | 2017 | 35 | |
| 18 | 2009 | 31 | |
| 19 | 2013 | 28 | |
| 20 | 2022 | 28 |
About Chi‐Te Wang
Chi‐Te Wang is a scholar working on Physiology, Neurology, Otorhinolaryngology, Speech and Hearing and Sensory Systems, having authored 82 papers that have together received 1.7k indexed citations. Recurring topics across this work include Voice and Speech Disorders (42 papers), Vestibular and auditory disorders (10 papers), Head and Neck Cancer Studies (6 papers), Dysphagia Assessment and Management (4 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers), Machine Learning in Healthcare (2 papers), Thyroid and Parathyroid Surgery (2 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Otorhinolaryngology (312 citations), Neurology (300 citations), Physiology (668 citations), Health Informatics (21 citations) and Radiology, Nuclear Medicine and Imaging (125 citations). Chi‐Te Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Li‐Jen Liao, Po‐Wen Cheng, Mei‐Shu Lai, Wu‐Chia Lo, Yi‐Ho Young, Feng‐Chuan Lin, Wan‐Lun Hsu, Shih‐Hau Fang, Yu Tsao and Ying-Hui Lai. Their work appears in journals such as The Laryngoscope, Journal of Voice, Otolaryngology, Head & Neck and Ear and Hearing.
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.