Kathy Lee

124 papers receiving 2.3k citations

Peers

Kathy Lee
Comparison fields: 5 of 166
  • Speech and Hearing 229
  • Sensory Systems 116
  • Cognitive Neuroscience 390
  • Artificial Intelligence 609
  • Developmental and Educational Psychology 228
Replace Robin Cohen with:
Robin Cohen Canada
Andrew Stewart United Kingdom
John Bain Australia
John Aberdeen United States
Serguei Pakhomov United States
Timothy Baldwin Australia
Lena Mamykina United States
Michael D. Lieberman United States
Stephen Mayhew United Kingdom
Judy Robertson United Kingdom
Kathy Lee relative to Robin Cohen Canada Robin Cohen's profile →
Citations per field
00.5×10×16.6×
Robin Cohen · 1×
Citations per year

Countries citing papers authored by Kathy Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kathy Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011199
2 2013137
3
Towards Online Spam Filtering in Social Networks
2012132
4 200291
5 200773
6 201772
7 200068
8 201267
9 201063
10 197859
11 198052
12 199748
13 202148
14 201244
15 199741
16 201141
17 201140
18 201538
19 201736
20 200935

About Kathy Lee

Kathy Lee is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Speech and Hearing, Physiology and Experimental and Cognitive Psychology, having authored 132 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (21 papers), Voice and Speech Disorders (18 papers), Dysphagia Assessment and Management (16 papers), Phonetics and Phonology Research (14 papers), Tracheal and airway disorders (12 papers), Topic Modeling (12 papers), Hearing, Cochlea, Tinnitus, Genetics (10 papers) and Language Development and Disorders (10 papers). The work is most often cited by research in Speech and Hearing (229 citations), Sensory Systems (116 citations), Cognitive Neuroscience (390 citations), Artificial Intelligence (609 citations) and Developmental and Educational Psychology (228 citations). Kathy Lee has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Alok Choudhary, Ankit Agrawal, C. Andrew van Hasselt, Michael C. F. Tong, Diana Palsetia, Sung Nok Chiu, Ramanathan Narayanan, Md. Mostofa Ali Patwary, Yan Chen and Hongyu Gao. Their work appears in journals such as Pacing and Clinical Electrophysiology, The Laryngoscope, Journal of Voice, Ear and Hearing and Clinical Linguistics & Phonetics.

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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