Jack J. Jiang

9.0k citations
317 papers · 7.0k indexed · h-index 45

Jack J. Jiang

308 papers receiving 6.8k citations

Peers

Jack J. Jiang
Comparison fields: 5 of 168
  • Speech and Hearing 2.5k
  • Physiology 4.9k
  • Experimental and Cognitive Psychology 2.0k
  • Signal Processing 1.0k
  • Artificial Intelligence 2.2k
Replace Ulrich Eysholdt with:
Ulrich Eysholdt Germany
Michael Döllinger Germany
Nobuhiko Isshiki Japan
Jan G. Švec Czechia
Steven Bielamowicz United States
Hajime Hirose Japan
Antoine Giovanni France
Juan Ignacio Godino-Llorente Spain
Takeshi Kubo Japan
Robert A. Levine United States
Jack J. Jiang relative to Ulrich Eysholdt Germany Ulrich Eysholdt's profile →
Citations per field
00.5×
Ulrich Eysholdt · 1×
Citations per year

Countries citing papers authored by Jack J. Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jack J. Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack J. Jiang. 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 Jack J. Jiang. The network helps show where Jack J. Jiang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jack J. Jiang, 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 Jack J. Jiang Line = papers co-authored together Jack J. Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20255
3 20241
4 20231
5 20233
6 202312
7 20231
8 20225
9 20220
10 20188
11 20183
12 20186
13 20175
14 201512
15
Digital Demodulator for BFSK waveform based upon Correlator and Differentiator Systems
20143
16
Perturbation and Perceptual Analysis of Pathological Sustained Vowels according to Signal Typing
20102
17 200953
18 200826
19 199964
20 19943

About Jack J. Jiang

Jack J. Jiang is a scholar working on Speech and Hearing, Physiology, Experimental and Cognitive Psychology, Signal Processing and Otorhinolaryngology, having authored 317 papers that have together received 7.0k indexed citations. Recurring topics across this work include Voice and Speech Disorders (217 papers), Dysphagia Assessment and Management (119 papers), Speech Recognition and Synthesis (94 papers), Phonetics and Phonology Research (72 papers), Tracheal and airway disorders (46 papers), Speech and Audio Processing (42 papers), Music and Audio Processing (31 papers) and Head and Neck Cancer Studies (19 papers). The work is most often cited by research in Speech and Hearing (2.5k citations), Physiology (4.9k citations), Experimental and Cognitive Psychology (2.0k citations), Signal Processing (1.0k citations) and Artificial Intelligence (2.2k citations). Jack J. Jiang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yu Zhang, David G. Hanson, Ingo R. Titze, Chao Tao, Matthew R. Hoffman, Emily Lin, Timothy M. McCulloch, Charles N. Ford, Alicia J. Sprecher and Jennifer I. Stern. Their work appears in journals such as Journal of Voice, The Laryngoscope, Annals of Otology Rhinology & Laryngology, The Journal of the Acoustical Society of America and Journal of Speech Language and Hearing 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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