I-Hui Hsieh

755 total citations
30 papers, 544 citations indexed

About

I-Hui Hsieh is a scholar working on Cognitive Neuroscience, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, I-Hui Hsieh has authored 30 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 8 papers in Signal Processing and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in I-Hui Hsieh's work include Hearing Loss and Rehabilitation (18 papers), Neuroscience and Music Perception (18 papers) and Music and Audio Processing (5 papers). I-Hui Hsieh is often cited by papers focused on Hearing Loss and Rehabilitation (18 papers), Neuroscience and Music Perception (18 papers) and Music and Audio Processing (5 papers). I-Hui Hsieh collaborates with scholars based in Taiwan, United States and Portugal. I-Hui Hsieh's co-authors include Kourosh Saberi, Gregory Hickok, Feng Rong, Kayoko Okada, William Matchin, John T. Serences, Jiing‐Yih Lai, Jia‐Ching Wang, Jiawei Liu and Pei‐Yuan Lee and has published in prestigious journals such as PLoS ONE, Scientific Reports and Cerebral Cortex.

In The Last Decade

I-Hui Hsieh

29 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I-Hui Hsieh Taiwan 11 318 129 87 75 60 30 544
Yichuan Liu United States 9 259 0.8× 32 0.2× 87 1.0× 112 1.5× 9 0.1× 16 387
Minnan Xu-Wilson United States 10 437 1.4× 26 0.2× 91 1.0× 17 0.2× 10 0.2× 15 667
Sasan Mahmoodi United Kingdom 11 159 0.5× 108 0.8× 29 0.3× 24 0.3× 15 0.3× 27 470
Jörg Lohscheller Germany 25 94 0.3× 708 5.5× 48 0.6× 35 0.5× 350 5.8× 69 1.8k
Robert G. Alexander United States 15 181 0.6× 35 0.3× 66 0.8× 196 2.6× 2 0.0× 29 572
Matthew B. Fitzgerald United States 16 740 2.3× 135 1.0× 21 0.2× 9 0.1× 133 2.2× 53 842
Sean L. Metzger United States 6 483 1.5× 26 0.2× 53 0.6× 10 0.1× 70 1.2× 7 654
James M. Harte Denmark 13 357 1.1× 23 0.2× 54 0.6× 17 0.2× 81 1.4× 47 516
Hugo L. Fernandes United States 13 396 1.2× 47 0.4× 74 0.9× 54 0.7× 7 0.1× 18 594
Brian W. Tansley United States 12 358 1.1× 48 0.4× 47 0.5× 57 0.8× 30 0.5× 21 594

Countries citing papers authored by I-Hui Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by I-Hui Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I-Hui Hsieh. 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 I-Hui Hsieh. The network helps show where I-Hui Hsieh may publish in the future.

Co-authorship network of co-authors of I-Hui Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of I-Hui Hsieh. A scholar is included among the top collaborators of I-Hui Hsieh 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 I-Hui Hsieh. I-Hui Hsieh 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.
Kuo, Chao‐Yin & I-Hui Hsieh. (2025). Tonotopic effects on temporal-based pitch perception of transposed tones: Insights from Holo-Hilbert Spectral Analysis. Biological Psychology. 199. 109070–109070.
2.
Hsieh, I-Hui, et al.. (2024). Effects of absolute pitch on brain activation and functional connectivity during hearing-in-noise perception. Cortex. 174. 1–18. 1 indexed citations
3.
Kuo, Chao‐Yin, et al.. (2023). The role of carrier spectral composition in the perception of musical pitch. Attention Perception & Psychophysics. 85(6). 2083–2099. 1 indexed citations
4.
Hsieh, I-Hui, et al.. (2022). Domain-specific hearing-in-noise performance is associated with absolute pitch proficiency. Scientific Reports. 12(1). 16344–16344. 5 indexed citations
5.
Hsieh, I-Hui, et al.. (2021). The Interaction Between Timescale and Pitch Contour at Pre-attentive Processing of Frequency-Modulated Sweeps. Frontiers in Psychology. 12. 637289–637289. 2 indexed citations
6.
Lai, Jiing‐Yih, et al.. (2020). Sanders classification of calcaneal fractures in CT images with deep learning and differential data augmentation techniques. Injury. 52(3). 616–624. 49 indexed citations
7.
Wu, Denise H., et al.. (2020). A Minimum Temporal Window for Direction Detection of Frequency-Modulated Sweeps: A Magnetoencephalography Study. Frontiers in Psychology. 11. 389–389. 2 indexed citations
8.
Wang, Jia‐Ching, et al.. (2019). Deep learning and SURF for automated classification and detection of calcaneus fractures in CT images. Computer Methods and Programs in Biomedicine. 171. 27–37. 112 indexed citations
9.
Saberi, Kourosh, et al.. (2016). Velocity Selective Networks in Human Cortex Reveal Two Functionally Distinct Auditory Motion Systems. PLoS ONE. 11(6). e0157131–e0157131. 1 indexed citations
10.
Hsieh, I-Hui & Kourosh Saberi. (2015). Imperfect pitch: Gabor’s uncertainty principle and the pitch of extremely brief sounds. Psychonomic Bulletin & Review. 23(1). 163–171. 3 indexed citations
11.
Gonçalves, Óscar F., et al.. (2013). Improved functional abilities of the life-extended Drosophila mutant Methuselah are reversed at old age to below control levels. AGE. 36(1). 213–221. 11 indexed citations
12.
Gonçalves, Óscar F., et al.. (2013). Enhanced Optomotor Efficiency by Expression of the Human GeneSuperoxide DismutasePrimarily inDrosophilaMotorneurons. Journal of Neurogenetics. 27(1-2). 59–67. 2 indexed citations
13.
Hsieh, I-Hui, et al.. (2011). Observer weighting of interaural cues in positive and negative envelope slopes of amplitude-modulated waveforms. Hearing Research. 277(1-2). 143–151. 4 indexed citations
14.
Okada, Kayoko, Feng Rong, William Matchin, et al.. (2010). Hierarchical Organization of Human Auditory Cortex: Evidence from Acoustic Invariance in the Response to Intelligible Speech. Cerebral Cortex. 20(10). 2486–2495. 196 indexed citations
15.
Hsieh, I-Hui & Kourosh Saberi. (2010). Detection of sinusoidal amplitude modulation in logarithmic frequency sweeps across wide regions of the spectrum. Hearing Research. 262(1-2). 9–18. 10 indexed citations
16.
Smith, Kevin R., I-Hui Hsieh, Kourosh Saberi, & Gregory Hickok. (2009). Auditory Spatial and Object Processing in the Human Planum Temporale: No Evidence for Selectivity. Journal of Cognitive Neuroscience. 22(4). 632–639. 29 indexed citations
17.
Hsieh, I-Hui & Kourosh Saberi. (2009). Detection of spatial cues in linear and logarithmic frequency-modulated sweeps. Attention Perception & Psychophysics. 71(8). 1876–1889. 5 indexed citations
18.
Hsieh, I-Hui & Kourosh Saberi. (2008). Dissociation of procedural and semantic memory in absolute-pitch processing. Hearing Research. 240(1-2). 73–79. 18 indexed citations
19.
Hsieh, I-Hui, et al.. (2007). Age-Dependent Stability of Sensorimotor Functions in the Life-Extended Drosophila mutant Methuselah. Behavior Genetics. 37(4). 585–594. 26 indexed citations
20.
Hsieh, I-Hui & Kourosh Saberi. (2007). Temporal integration in absolute identification of musical pitch. Hearing Research. 233(1-2). 108–116. 17 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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