Jack J. Jiang

296 papers receiving 6.9k citations

Peers

Jack J. Jiang
Comparison fields: 5 of 158
  • Speech and Hearing 1.4k
  • Physiology 4.7k
  • Experimental and Cognitive Psychology 1.3k
  • Signal Processing 759
  • Artificial Intelligence 1.6k
Replace Ulrich Eysholdt with:
Ulrich Eysholdt Germany
Michael Döllinger Germany
Juan Ignacio Godino-Llorente Spain
Steven Bielamowicz United States
David J. Klein United States
Yuichi Yamashita Japan
Pascal Perrier France
Pedro Gómez‐Vilda Spain
Silke Anna Theresa Weber Brazil
Krishna S. Nayak United States
Jack J. Jiang relative to Ulrich Eysholdt Germany Ulrich Eysholdt's profile →
Citations per field
00.5×4.1×
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-authors

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

Showing the 20 most-cited of 304 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994229
2 2000203
3 2005142
4 1993132
5 2006130
6 2001122
7 2005118
8 2002111
9 2010103
10 2010102
11 2007101
12 201291
13 201090
14 200987
15 200186
16 200386
17 200883
18 200080
19 200074
20 200574

About Jack J. Jiang

Jack J. Jiang is a scholar working on Physiology, Artificial Intelligence, Speech and Hearing, Experimental and Cognitive Psychology and Signal Processing, having authored 304 papers that have together received 7.1k indexed citations. Recurring topics across this work include Voice and Speech Disorders (205 papers), Dysphagia Assessment and Management (52 papers), Speech Recognition and Synthesis (48 papers), Phonetics and Phonology Research (38 papers), Speech and Audio Processing (26 papers), Tracheal and airway disorders (17 papers), Music and Audio Processing (15 papers) and Chaos control and synchronization (13 papers). The work is most often cited by research in Speech and Hearing (1.4k citations), Physiology (4.7k citations), Experimental and Cognitive Psychology (1.3k citations), Signal Processing (759 citations) and Artificial Intelligence (1.6k citations). Jack J. Jiang has collaborated with scholars based in United States, China and Taiwan. 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 Yu Zhang. 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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