Chi‐Wei Huang

1.4k total citations
62 papers, 1.0k citations indexed

About

Chi‐Wei Huang is a scholar working on Psychiatry and Mental health, Physiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chi‐Wei Huang has authored 62 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Psychiatry and Mental health, 27 papers in Physiology and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chi‐Wei Huang's work include Dementia and Cognitive Impairment Research (29 papers), Alzheimer's disease research and treatments (23 papers) and Advanced Neuroimaging Techniques and Applications (19 papers). Chi‐Wei Huang is often cited by papers focused on Dementia and Cognitive Impairment Research (29 papers), Alzheimer's disease research and treatments (23 papers) and Advanced Neuroimaging Techniques and Applications (19 papers). Chi‐Wei Huang collaborates with scholars based in Taiwan, United States and Japan. Chi‐Wei Huang's co-authors include Chiung‐Chih Chang, Wen‐Neng Chang, Shu‐Hua Huang, Ya‐Ting Chang, Nai-Ching Chen, Chen‐Chang Lee, Chun‐Chung Lui, Shih‐Wei Hsu, Chih‐Cheng Chen and Chiung-Chih Chang and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Chi‐Wei Huang

57 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chi‐Wei Huang Taiwan 19 326 269 269 193 189 62 1.0k
Nai-Ching Chen Taiwan 22 362 1.1× 260 1.0× 257 1.0× 90 0.5× 159 0.8× 74 1.3k
Ross Carne Australia 11 523 1.6× 274 1.0× 208 0.8× 148 0.8× 191 1.0× 18 1.2k
Antonia Ceccarelli Italy 21 295 0.9× 241 0.9× 190 0.7× 401 2.1× 218 1.2× 34 1.5k
Ana Barabash Spain 23 456 1.4× 581 2.2× 380 1.4× 124 0.6× 302 1.6× 84 1.9k
Dimitrios Kazis Greece 19 213 0.7× 154 0.6× 152 0.6× 63 0.3× 227 1.2× 73 992
Louis Tan Singapore 22 197 0.6× 234 0.9× 183 0.7× 86 0.4× 134 0.7× 44 1.3k
Ioannis Liampas Greece 19 416 1.3× 186 0.7× 125 0.5× 44 0.2× 192 1.0× 91 1.1k
Takefumi Yuzuriha Japan 19 216 0.7× 205 0.8× 83 0.3× 75 0.4× 93 0.5× 55 1.0k
Jennifer L. Dearborn United States 18 206 0.6× 187 0.7× 122 0.5× 60 0.3× 73 0.4× 34 1.2k
Brendan Kelley United States 16 302 0.9× 244 0.9× 132 0.5× 40 0.2× 118 0.6× 33 973

Countries citing papers authored by Chi‐Wei Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Wei Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi‐Wei Huang. 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 Chi‐Wei Huang. The network helps show where Chi‐Wei Huang may publish in the future.

Co-authorship network of co-authors of Chi‐Wei Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Chi‐Wei Huang. A scholar is included among the top collaborators of Chi‐Wei Huang 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 Chi‐Wei Huang. Chi‐Wei Huang 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.
Huang, Kuo‐Lun, Ing‐Tsung Hsiao, Chi‐Wei Huang, et al.. (2025). The Taiwan‐ADNI workflow toward integrating plasma p‐tau217 into prediction models for the risk of Alzheimer's disease and tau burden. Alzheimer s & Dementia. 21(1). e14297–e14297. 4 indexed citations
2.
Ma, Mi-Chia, et al.. (2025). Optimizing timing and cost-effective use of plasma biomarkers in Alzheimer’s disease. Alzheimer s Research & Therapy. 17(1). 194–194.
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Chang, Yu‐Tzu, Chi‐Wei Huang, Shih‐Wei Hsu, et al.. (2023). Neuropsychiatric Symptoms and Caregiver Stress in Parkinson’s Disease with Cognitive Impairment, Alzheimer’s Disease, and Frontotemporal Dementia. Journal of Parkinson s Disease. 13(2). 243–254. 4 indexed citations
7.
Huang, Chi‐Wei, et al.. (2023). Gray matter reserve determines glymphatic system function in young‐onset Alzheimer's disease: Evidenced by DTI‐ALPS and compared with age‐matched controls. Psychiatry and Clinical Neurosciences. 77(7). 401–409. 44 indexed citations
8.
Huang, Chi‐Wei, Ming-Huei Lin, Che‐Hsiung Lee, et al.. (2023). Vascularized Toe Proximal Interphalangeal Joint Transfer in Posttraumatic Fingers: Analysis of Prognostic Factors for Suboptimal Outcomes. Plastic & Reconstructive Surgery Global Open. 11(10). e5314–e5314.
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Luo, Sheng‐Dean, Shufang Chen, Chi‐Wei Huang, et al.. (2022). Applicability of Oculomotor Tests for Predicting Central Vestibular Disorder Using Principal Component Analysis. Journal of Personalized Medicine. 12(2). 203–203. 1 indexed citations
11.
Chen, Hsiu‐Hui, et al.. (2018). Adequacy of nutrition and body weight in patients with early stage dementia: The cognition and aging study. Clinical Nutrition. 38(5). 2187–2194. 9 indexed citations
12.
Chang, Chiung‐Chih, Ya‐Ting Chang, Chi‐Wei Huang, et al.. (2018). Associations of Bcl-2 rs956572 genotype groups in the structural covariance network in early-stage Alzheimer’s disease. Alzheimer s Research & Therapy. 10(1). 17–17. 16 indexed citations
13.
Chang, Ya‐Ting, Etsuro Mori, Maki Suzuki, et al.. (2018). APOE-MS4A genetic interactions are associated with executive dysfunction and network abnormality in clinically mild Alzheimer's disease. NeuroImage Clinical. 21. 101621–101621. 14 indexed citations
14.
Huang, Chi‐Wei, Shih‐Wei Hsu, Shih‐Jen Tsai, et al.. (2017). Genetic effect of interleukin-1 beta (C-511T) polymorphism on the structural covariance network and white matter integrity in Alzheimer’s disease. Journal of Neuroinflammation. 14(1). 12–12. 18 indexed citations
15.
Chang, Ya‐Ting, Chi‐Wei Huang, Nai-Ching Chen, et al.. (2016). Hippocampal Amyloid Burden with Downstream Fusiform Gyrus Atrophy Correlate with Face Matching Task Scores in Early Stage Alzheimer’s Disease. Frontiers in Aging Neuroscience. 8. 145–145. 30 indexed citations
16.
Chang, Chiung‐Chih, Jung‐Lung Hsu, Wen‐Neng Chang, et al.. (2016). Metabolic Covariant Network in Relation to Nigrostriatal Degeneration in Carbon Monoxide Intoxication-Related Parkinsonism. Frontiers in Neuroscience. 10. 187–187. 14 indexed citations
17.
Chang, Chiung‐Chih, Pin‐Hsuan Lin, Ya‐Ting Chang, et al.. (2015). The Impact of Admission Etiology on Recurrent or Frequent Admission. Medicine. 94(46). e2091–e2091. 14 indexed citations
18.
Huang, Yung‐Cheng, Chien-Chin Hsu, Wei‐Che Lin, et al.. (2014). Effects of Metformin on the Cerebral Metabolic Changes in Type 2 Diabetic Patients. The Scientific World JOURNAL. 2014. 1–8. 20 indexed citations
19.
Chang, Alice Y., et al.. (2014). Interplay between brain stem angiotensins and monocyte chemoattractant protein-1 as a novel mechanism for pressor response after ischemic stroke. Neurobiology of Disease. 71. 292–304. 15 indexed citations
20.
Chang, Chiung‐Chih, Chun‐Chung Lui, Jiun‐Jie Wang, et al.. (2010). Multi-parametric neuroimaging evaluation of cerebrotendinous xanthomatosis and its correlation with neuropsychological presentations. BMC Neurology. 10(1). 59–59. 24 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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