Chun‐Hung Yeh

5.3k total citations · 3 hit papers
38 papers, 3.0k citations indexed

About

Chun‐Hung Yeh is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Chun‐Hung Yeh has authored 38 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Cognitive Neuroscience and 9 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Chun‐Hung Yeh's work include Advanced Neuroimaging Techniques and Applications (29 papers), Advanced MRI Techniques and Applications (22 papers) and Functional Brain Connectivity Studies (12 papers). Chun‐Hung Yeh is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (29 papers), Advanced MRI Techniques and Applications (22 papers) and Functional Brain Connectivity Studies (12 papers). Chun‐Hung Yeh collaborates with scholars based in Taiwan, Australia and Canada. Chun‐Hung Yeh's co-authors include Alan Connelly, Jacques‐Donald Tournier, Thijs Dhollander, Ben Jeurissen, David Raffelt, Daan Christiaens, Robert E. Smith, Maximilian Pietsch, Ching‐Po Lin and Fernando Calamante and has published in prestigious journals such as PLoS ONE, NeuroImage and Stroke.

In The Last Decade

Chun‐Hung Yeh

34 papers receiving 3.0k citations

Hit Papers

MRtrix3: A fast, flexible and op... 2008 2026 2014 2020 2019 2008 2022 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun‐Hung Yeh Taiwan 15 2.3k 1.3k 583 280 261 38 3.0k
Daan Christiaens United Kingdom 17 2.6k 1.1× 1.3k 1.0× 792 1.4× 345 1.2× 307 1.2× 41 3.6k
Alessandro Daducci Italy 26 2.0k 0.9× 1.0k 0.8× 398 0.7× 218 0.8× 236 0.9× 115 2.8k
Thijs Dhollander Australia 22 2.9k 1.3× 1.8k 1.4× 767 1.3× 406 1.4× 393 1.5× 62 4.1k
Robert E. Smith Australia 12 2.7k 1.2× 1.9k 1.5× 607 1.0× 364 1.3× 343 1.3× 18 3.8k
David Raffelt Australia 17 2.8k 1.2× 1.3k 1.0× 771 1.3× 470 1.7× 505 1.9× 24 3.6k
Kazi Akhter United States 9 2.1k 0.9× 1.1k 0.9× 516 0.9× 359 1.3× 495 1.9× 9 2.8k
Anastasia Yendiki United States 33 2.2k 1.0× 1.8k 1.4× 498 0.9× 375 1.3× 567 2.2× 96 3.9k
Tim B. Dyrby Denmark 31 3.1k 1.3× 1.2k 0.9× 542 0.9× 263 0.9× 158 0.6× 102 4.0k
Alex J. de Crespigny United States 18 2.1k 0.9× 1.1k 0.9× 460 0.8× 321 1.1× 221 0.8× 28 3.0k
Helen D’Arceuil United States 27 2.8k 1.2× 1.7k 1.3× 663 1.1× 348 1.2× 322 1.2× 49 4.1k

Countries citing papers authored by Chun‐Hung Yeh

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Hung Yeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Hung Yeh. 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 Chun‐Hung Yeh. The network helps show where Chun‐Hung Yeh may publish in the future.

Co-authorship network of co-authors of Chun‐Hung Yeh

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Hung Yeh. A scholar is included among the top collaborators of Chun‐Hung Yeh 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 Chun‐Hung Yeh. Chun‐Hung Yeh 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
2.
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Yeh, Chun‐Hung, Yi‐Ping Chao, Chen‐Te Wu, et al.. (2024). Lack of effects of eight-week left dorsolateral prefrontal theta burst stimulation on white matter macro/microstructure and connection in autism. Brain Imaging and Behavior. 18(4). 794–807. 6 indexed citations
4.
Wei, Yi‐Chia, Chemin Lin, Chun‐Hung Yeh, et al.. (2024). Differential neuropsychiatric associations of plasma biomarkers in older adults with major depression and subjective cognitive decline. Translational Psychiatry. 14(1). 333–333. 2 indexed citations
5.
Wei, Yi‐Chia, Ching‐Po Lin, Chih‐Ken Chen, et al.. (2024). White matter alterations and their associations with biomarkers and behavior in subjective cognitive decline individuals: a fixel-based analysis. Behavioral and Brain Functions. 20(1). 12–12. 3 indexed citations
6.
Liang, Xiaoyun, Claire E. Kelly, Chun‐Hung Yeh, et al.. (2024). Structural brain network organization in children with prenatal alcohol exposure. NeuroImage Clinical. 44. 103690–103690.
7.
Yeh, Chun‐Hung, et al.. (2023). Empathetic Response Generation for Distress Support. 632–644. 3 indexed citations
8.
Yeh, Chun‐Hung, Hsing‐Chang Ni, Luca Cocchi, et al.. (2022). White matter microstructural and morphometric alterations in autism: implications for intellectual capabilities. Molecular Autism. 13(1). 21–21. 9 indexed citations
9.
Zhang, Fan, Alessandro Daducci, Yong He, et al.. (2022). Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review. NeuroImage. 249. 118870–118870. 149 indexed citations breakdown →
10.
Liang, Xiaoyun, Chia‐Lin Koh, Chun‐Hung Yeh, et al.. (2021). Predicting Post-Stroke Somatosensory Function from Resting-State Functional Connectivity: A Feasibility Study. Brain Sciences. 11(11). 1388–1388. 7 indexed citations
11.
Civier, Oren, Robert E. Smith, Chun‐Hung Yeh, Alan Connelly, & Fernando Calamante. (2019). Is removal of weak connections necessary for graph-theoretical analysis of dense weighted structural connectomes from diffusion MRI?. NeuroImage. 194. 68–81. 64 indexed citations
12.
Liang, Xiaoyun, Chun‐Hung Yeh, Alan Connelly, & Fernando Calamante. (2019). A Novel Method for Extracting Hierarchical Functional Subnetworks Based on a Multisubject Spectral Clustering Approach. Brain Connectivity. 9(5). 399–414. 1 indexed citations
13.
Yang, Joseph Yuan‐Mou, Richard Beare, Sarah Barton, et al.. (2019). Optic Radiation Tractography in Pediatric Brain Surgery Applications: A Reliability and Agreement Assessment of the Tractography Method. Frontiers in Neuroscience. 13. 1254–1254. 9 indexed citations
14.
Yeh, Chun‐Hung, Robert E. Smith, Xiaoyun Liang, Fernando Calamante, & Alan Connelly. (2016). Correction for diffusion MRI fibre tracking biases: The consequences for structural connectomic metrics. NeuroImage. 142. 150–162. 62 indexed citations
15.
Yeh, Chun‐Hung, et al.. (2013). Diffusion Microscopist Simulator: A General Monte Carlo Simulation System for Diffusion Magnetic Resonance Imaging. PLoS ONE. 8(10). e76626–e76626. 38 indexed citations
16.
Yeh, Chun‐Hung, et al.. (2011). Role of the Proteasome in Fly Models of Neurodegeneration. Methods in molecular biology. 793. 149–165. 2 indexed citations
17.
Yeh, Chun‐Hung, et al.. (2010). The effect of finite diffusion gradient pulse duration on fibre orientation estimation in diffusion MRI. NeuroImage. 51(2). 743–751. 20 indexed citations
18.
Chao, Yi‐Ping, Kuan‐Hung Cho, Chun‐Hung Yeh, et al.. (2009). Probabilistic topography of human corpus callosum using cytoarchitectural parcellation and high angular resolution diffusion imaging tractography. Human Brain Mapping. 30(10). 3172–3187. 158 indexed citations
19.
Cho, Kuan‐Hung, Chun‐Hung Yeh, Yi‐Ping Chao, et al.. (2009). Potential in reducing scan times of HARDI by accurate correction of the cross‐term in a hemispherical encoding scheme. Journal of Magnetic Resonance Imaging. 29(6). 1386–1394. 6 indexed citations
20.
Tournier, Jacques‐Donald, et al.. (2008). Resolving crossing fibres using constrained spherical deconvolution: Validation using diffusion-weighted imaging phantom data. NeuroImage. 42(2). 617–625. 438 indexed citations breakdown →

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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