Yuling Yan

49 papers receiving 795 citations

Peers

Yuling Yan
Comparison fields: 5 of 89
  • Biophysics 215
  • Speech and Hearing 110
  • Structural Biology 20
  • Physiology 327
  • Experimental and Cognitive Psychology 142
Replace Ayumu Matani with:
Ayumu Matani Japan
Ben A. Duffy United States
Alessandra Paffi Italy
Iku Nemoto Japan
Daifa Wang China
Tim Blakely United States
Robert J. Summers United Kingdom
Oliver Schoppe Germany
Daniel Haehn United States
Kelvin Mok Canada
Yuling Yan relative to Ayumu Matani Japan Ayumu Matani's profile →
Citations per field
00.5×10×20×30×36.7×
Ayumu Matani · 1×
Citations per year

Countries citing papers authored by Yuling Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yuling Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuling Yan. 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 Yuling Yan. The network helps show where Yuling Yan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008176
2 200491
3 200683
4 200873
5 200650
6 201142
7 201230
8 201129
9 201027
10 201224
11 200319
12 201516
13 202213
14 201412
15 201210
16 201510
17 20239
18 20109
19 20198
20 20107

About Yuling Yan

Yuling Yan is a scholar working on Physiology, Artificial Intelligence, Human-Computer Interaction, Biomedical Engineering and Cognitive Neuroscience, having authored 52 papers that have together received 811 indexed citations. Recurring topics across this work include Voice and Speech Disorders (19 papers), Speech Recognition and Synthesis (16 papers), Gaze Tracking and Assistive Technology (12 papers), EEG and Brain-Computer Interfaces (10 papers), Phonetics and Phonology Research (9 papers), Neuroscience and Neural Engineering (7 papers), Advanced Fluorescence Microscopy Techniques (7 papers) and Muscle activation and electromyography studies (6 papers). The work is most often cited by research in Biophysics (215 citations), Speech and Hearing (110 citations), Structural Biology (20 citations), Physiology (327 citations) and Experimental and Cognitive Psychology (142 citations). Yuling Yan has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Diane M. Bless, Gerard Marriott, Kartini Ahmad, Chutima Petchprayoon, Shu Mao, Xin Chen, David K. Jackson, Melda Kunduk, Edward J. Damrose and Tomoyo Sakata. Their work appears in journals such as Journal of Voice, Proceedings of the National Academy of Sciences, IEEE Open Journal of Engineering in Medicine and Biology, Journal of the Science of Food and Agriculture and Biochemical Journal.

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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