Ho Ming Chow

1.9k total citations
33 papers, 1.1k citations indexed

About

Ho Ming Chow is a scholar working on Cognitive Neuroscience, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Ho Ming Chow has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 21 papers in Clinical Psychology and 19 papers in Experimental and Cognitive Psychology. Recurrent topics in Ho Ming Chow's work include Stuttering Research and Treatment (21 papers), Neurobiology of Language and Bilingualism (20 papers) and Phonetics and Phonology Research (15 papers). Ho Ming Chow is often cited by papers focused on Stuttering Research and Treatment (21 papers), Neurobiology of Language and Bilingualism (20 papers) and Phonetics and Phonology Research (15 papers). Ho Ming Chow collaborates with scholars based in United States, United Kingdom and Germany. Ho Ming Chow's co-authors include Soo‐Eun Chang, Emily O. Garnett, Yisheng Xu, Allen R. Braun, Siyuan Liu, Andrew C. Etchell, Ai Leen Choo, Michael Erkkinen, Meghan Healey and Nuria AbdulSabur and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Ho Ming Chow

32 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ho Ming Chow United States 18 811 540 457 280 115 33 1.1k
Diana Van Lancker Sidtis United States 20 630 0.8× 500 0.9× 190 0.4× 389 1.4× 132 1.1× 61 1.3k
Corianne Rogalsky United States 18 1.5k 1.9× 501 0.9× 110 0.2× 483 1.7× 290 2.5× 40 1.8k
Li‐Hai Tan China 12 613 0.8× 209 0.4× 118 0.3× 278 1.0× 215 1.9× 20 993
Edwin Maas United States 23 1.1k 1.4× 494 0.9× 359 0.8× 1.2k 4.2× 191 1.7× 52 1.8k
Matthias Wittfoth Germany 19 708 0.9× 305 0.6× 342 0.7× 100 0.4× 263 2.3× 30 1.2k
S.A. Bunge United States 8 953 1.2× 216 0.4× 208 0.5× 229 0.8× 140 1.2× 10 1.2k
Sarah E. Donohue United States 20 1.4k 1.8× 582 1.1× 78 0.2× 319 1.1× 226 2.0× 38 1.9k
Marja Laasonen Finland 23 843 1.0× 314 0.6× 159 0.3× 691 2.5× 60 0.5× 70 1.4k
Eira Jansson-Verkasalo Finland 21 907 1.1× 190 0.4× 295 0.6× 527 1.9× 32 0.3× 38 1.3k
Fabienne Samson Canada 10 973 1.2× 136 0.3× 145 0.3× 257 0.9× 35 0.3× 12 1.1k

Countries citing papers authored by Ho Ming Chow

Since Specialization
Citations

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

Fields of papers citing papers by Ho Ming Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ho Ming Chow. 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 Ho Ming Chow. The network helps show where Ho Ming Chow may publish in the future.

Co-authorship network of co-authors of Ho Ming Chow

This figure shows the co-authorship network connecting the top 25 collaborators of Ho Ming Chow. A scholar is included among the top collaborators of Ho Ming Chow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ho Ming Chow. Ho Ming Chow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chang, Soo‐Eun, Jennifer E. Below, Ho Ming Chow, et al.. (2025). Stuttering: Our Current Knowledge, Research Opportunities, and Ways to Address Critical Gaps. PubMed. 6. 3 indexed citations
2.
Chow, Ho Ming, et al.. (2025). Dysrhythmic Speech Is a Characteristic of Developmental Stuttering in Adults: A Quantitative Analysis Using Duration- and Interval-Based Rhythm Metrics. Journal of Speech Language and Hearing Research. 68(4). 1618–1633. 2 indexed citations
3.
Chow, Ho Ming, et al.. (2025). Automatic temporal analysis of speech: A quick and objective pipeline for the assessment of overt stuttering. Behavior Research Methods. 57(8). 228–228.
4.
Tourville, Jason A., Alfonso Nieto-Castañón, Emily O. Garnett, et al.. (2024). Evidence for planning and motor subtypes of stuttering based on resting state functional connectivity. Brain and Language. 253. 105417–105417. 3 indexed citations
5.
Chow, Ho Ming, Emily O. Garnett, Nan Bernstein Ratner, & Soo‐Eun Chang. (2023). Brain activity during the preparation and production of spontaneous speech in children with persistent stuttering. NeuroImage Clinical. 38. 103413–103413. 8 indexed citations
6.
Chow, Ho Ming, et al.. (2023). Brain developmental trajectories associated with childhood stuttering persistence and recovery. Developmental Cognitive Neuroscience. 60. 101224–101224. 10 indexed citations
7.
Garnett, Emily O., et al.. (2022). Neural activity during solo and choral reading: A functional magnetic resonance imaging study of overt continuous speech production in adults who stutter. Frontiers in Human Neuroscience. 16. 894676–894676. 11 indexed citations
8.
Garnett, Emily O., J. Devin McAuley, Elizabeth A. Wieland, et al.. (2022). Auditory rhythm discrimination in adults who stutter: An fMRI study. Brain and Language. 236. 105219–105219. 5 indexed citations
9.
Garnett, Emily O., et al.. (2021). Association Between Gray Matter Volume Variations and Energy Utilization in the Brain: Implications for Developmental Stuttering. Journal of Speech Language and Hearing Research. 64(6S). 2317–2324. 8 indexed citations
10.
11.
Díez, Ibai, Federico d’Oleire Uquillas, Laura Ortiz-Terán, et al.. (2019). Neurofilament-lysosomal genetic intersections in the cortical network of stuttering. Progress in Neurobiology. 184. 101718–101718. 31 indexed citations
12.
Garnett, Emily O., Ho Ming Chow, Ai Leen Choo, & Soo‐Eun Chang. (2019). Stuttering Severity Modulates Effects of Non-invasive Brain Stimulation in Adults Who Stutter. Frontiers in Human Neuroscience. 13. 411–411. 24 indexed citations
13.
Li, Hua, et al.. (2018). Comparison of NODDI and spherical mean signal for measuring intra-neurite volume fraction. Magnetic Resonance Imaging. 57. 151–155. 2 indexed citations
14.
Etchell, Andrew C., et al.. (2018). A systematic literature review of sex differences in childhood language and brain development. Neuropsychologia. 114. 19–31. 120 indexed citations
15.
Chang, Soo‐Eun, Mike Angstadt, Ho Ming Chow, et al.. (2017). Anomalous network architecture of the resting brain in children who stutter. Journal of Fluency Disorders. 55. 46–67. 59 indexed citations
16.
Chang, Soo‐Eun, Ho Ming Chow, Elizabeth A. Wieland, & J. Devin McAuley. (2016). Relation between functional connectivity and rhythm discrimination in children who do and do not stutter. NeuroImage Clinical. 12. 442–450. 45 indexed citations
17.
Xu, Yisheng, Yunxia Tong, Siyuan Liu, et al.. (2014). Denoising the speaking brain: Toward a robust technique for correcting artifact-contaminated fMRI data under severe motion. NeuroImage. 103. 33–47. 33 indexed citations
18.
19.
Liu, Siyuan, et al.. (2012). Neural Correlates of Lyrical Improvisation: An fMRI Study of Freestyle Rap. Scientific Reports. 2(1). 834–834. 117 indexed citations
20.
Chow, Ho Ming, Barbara Kaup, Markus Raabe, & Mark W. Greenlee. (2008). Evidence of fronto-temporal interactions for strategic inference processes during language comprehension. NeuroImage. 40(2). 940–954. 42 indexed citations

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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