Feng‐Chuan Lin

12 papers receiving 347 citations

Peers

Feng‐Chuan Lin
Comparison fields: 5 of 56
  • Signal Processing 121
  • Physiology 235
  • Speech and Hearing 31
  • Health Informatics 6
  • Artificial Intelligence 139
Replace Terri Treman Gerlach with:
Terri Treman Gerlach United States
Michael Doellinger Germany
Heather S. Shaw United States
F. Šram Czechia
Shigeki Ogawa Japan
Ken‐Ichi Sakakibara Japan
Stephanie R. C. Zacharias United States
Hisayuki Yokonishi Japan
Arend M. Sulter Netherlands
Duy Duong Nguyên Australia
Feng‐Chuan Lin relative to Terri Treman Gerlach United States Terri Treman Gerlach's profile →
Citations per field
00.5×3.2×
Terri Treman Gerlach · 1×
Citations per year

Countries citing papers authored by Feng‐Chuan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Feng‐Chuan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng‐Chuan Lin. 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 Feng‐Chuan Lin. The network helps show where Feng‐Chuan Lin may publish in the future.

Co-authors

The 18 scholars most cited alongside Feng‐Chuan Lin, 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 Feng‐Chuan Lin Line = papers co-authored together Feng‐Chuan Lin links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2018205
2 202037
3 201524
4 201820
5 201919
6 201815
7 201811
8 20228
9 20177
10 20215
11 20232
12 20231
13 20250
14 20230

About Feng‐Chuan Lin

Feng‐Chuan Lin is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Speech and Hearing, Signal Processing and Artificial Intelligence, having authored 14 papers that have together received 354 indexed citations. Recurring topics across this work include Voice and Speech Disorders (12 papers), Speech Recognition and Synthesis (2 papers), Tracheal and airway disorders (2 papers), Dysphagia Assessment and Management (2 papers), Music and Audio Processing (2 papers), Advanced Power Amplifier Design (1 paper), GaN-based semiconductor devices and materials (1 paper) and Phonetics and Phonology Research (1 paper). The work is most often cited by research in Signal Processing (121 citations), Physiology (235 citations), Speech and Hearing (31 citations), Health Informatics (6 citations) and Artificial Intelligence (139 citations). Feng‐Chuan Lin has collaborated with scholars based in Taiwan and China. Frequent co-authors include Chi‐Te Wang, Shih‐Hau Fang, Yu Tsao, Ying-Hui Lai, Sheng Hwa Chen, Po‐Wen Cheng, Su‐Chiu Chen, Chii‐Wann Lin, Yu‐Hsuan Lin and Li‐Jen Liao. Their work appears in journals such as Journal of Voice, Journal of Speech Language and Hearing Research, International Journal of Speech-Language Pathology, JAMA Otolaryngology–Head & Neck Surgery and Laryngoscope Investigative Otolaryngology.

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.

Explore authors with similar magnitude of impact