Min‐Wei Huang

1.9k total citations · 2 hit papers
52 papers, 1.2k citations indexed

About

Min‐Wei Huang is a scholar working on Artificial Intelligence, Psychiatry and Mental health and Cognitive Neuroscience. According to data from OpenAlex, Min‐Wei Huang has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Psychiatry and Mental health and 9 papers in Cognitive Neuroscience. Recurrent topics in Min‐Wei Huang's work include Imbalanced Data Classification Techniques (9 papers), Artificial Intelligence in Healthcare (8 papers) and Schizophrenia research and treatment (6 papers). Min‐Wei Huang is often cited by papers focused on Imbalanced Data Classification Techniques (9 papers), Artificial Intelligence in Healthcare (8 papers) and Schizophrenia research and treatment (6 papers). Min‐Wei Huang collaborates with scholars based in Taiwan, United States and Singapore. Min‐Wei Huang's co-authors include Chih‐Fong Tsai, Shih-Wen Ke, Jasbir S. Arora, Li-Yu Hu, Wei‐Chao Lin, Ching Hsieh, Kuo‐Sheng Cheng, Yen-Ting Chen, Frank Huang‐Chih Chou and Chieh‐Li Chen and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and Expert Systems with Applications.

In The Last Decade

Min‐Wei Huang

47 papers receiving 1.2k citations

Hit Papers

The distance function effect on k-nearest neighbor classi... 2016 2026 2019 2022 2016 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min‐Wei Huang Taiwan 19 337 182 159 148 97 52 1.2k
Shuai Huang United States 20 460 1.4× 48 0.3× 95 0.6× 36 0.2× 138 1.4× 110 1.6k
Harry Zhang United States 16 732 2.2× 28 0.2× 106 0.7× 150 1.0× 149 1.5× 39 1.6k
Karla Brkić Croatia 13 460 1.4× 49 0.3× 94 0.6× 57 0.4× 363 3.7× 38 1.2k
Chris Seiffert United States 11 1.3k 4.0× 52 0.3× 75 0.5× 47 0.3× 207 2.1× 18 2.1k
Nikola Bogunović Croatia 14 454 1.3× 26 0.1× 110 0.7× 75 0.5× 137 1.4× 87 1.5k
Tianhua Chen China 26 399 1.2× 17 0.1× 92 0.6× 63 0.4× 99 1.0× 148 2.5k
Alan Jović Croatia 18 743 2.2× 31 0.2× 148 0.9× 66 0.4× 237 2.4× 66 1.9k
Guanjin Wang Australia 19 657 1.9× 66 0.4× 57 0.4× 27 0.2× 195 2.0× 66 1.5k
Haibo Zhang China 27 517 1.5× 103 0.6× 78 0.5× 104 0.7× 343 3.5× 273 2.7k

Countries citing papers authored by Min‐Wei Huang

Since Specialization
Citations

This map shows the geographic impact of Min‐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 Min‐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 Min‐Wei Huang more than expected).

Fields of papers citing papers by Min‐Wei Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Min‐Wei Huang. A scholar is included among the top collaborators of Min‐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 Min‐Wei Huang. Min‐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, Min‐Wei, Hailong Fu, Toh Yen Pang, et al.. (2025). On concave polygon mesh for axisymmetric problems of solids using cell-based smoothed finite element method. Engineering Analysis with Boundary Elements. 179. 106416–106416. 1 indexed citations
2.
Liang, Caiwu, Min‐Wei Huang, Tianle Chen, et al.. (2025). Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth. Advanced Functional Materials. 35(38). 2 indexed citations
4.
Huang, Min‐Wei, et al.. (2024). Interaction effect between data discretization and data resampling for class-imbalanced medical datasets. Technology and Health Care. 33(2). 1000–1013. 2 indexed citations
5.
Huang, Min‐Wei, et al.. (2023). A retrospective study of pharmacological treatment in anorexia nervosa: 6-month and 12-month follow-up. BMC Psychiatry. 23(1). 126–126. 4 indexed citations
6.
Tsai, Chih‐Fong, et al.. (2023). Deep learning based decision tree ensembles for incomplete medical datasets. Technology and Health Care. 32(1). 75–87. 1 indexed citations
7.
Huang, Min‐Wei, et al.. (2023). Combining data discretization and missing value imputation for incomplete medical datasets. PLoS ONE. 18(11). e0295032–e0295032. 3 indexed citations
8.
Huang, Min‐Wei, et al.. (2021). On Combining Feature Selection and Over-Sampling Techniques for Breast Cancer Prediction. Applied Sciences. 11(14). 6574–6574. 18 indexed citations
9.
Huang, Min‐Wei, et al.. (2020). Wavelet Analysis of Electroencephalography Signals of Visual Emotion Induction in Schizophrenia Patients. Sensors and Materials. 32(12). 4245–4245.
10.
Lin, Chieh‐Hsin, Min‐Wei Huang, Ching‐Hua Lin, Chiung-Hsien Huang, & Hsien‐Yuan Lane. (2018). Altered mRNA expressions for N-methyl-D-aspartate receptor-related genes in WBC of patients with major depressive disorder. Journal of Affective Disorders. 245. 1119–1125. 18 indexed citations
11.
Huang, Min‐Wei, et al.. (2016). A Correlative Classification Study of Schizophrenic Patients with Results of Clinical Evaluation and Structural Magnetic Resonance Images. Behavioural Neurology. 2016. 1–11. 9 indexed citations
12.
Chu, Che‐Sheng, Po‐Han Chou, Yi-Huei Chen, et al.. (2016). Association between antipsychotic drug use and cataracts in patients with bipolar disorder: A population-based, nested case-control study. Journal of Affective Disorders. 209. 86–92. 10 indexed citations
13.
Hu, Li-Yu, Min‐Wei Huang, Shih-Wen Ke, & Chih‐Fong Tsai. (2016). The distance function effect on k-nearest neighbor classification for medical datasets. SpringerPlus. 5(1). 1304–1304. 298 indexed citations breakdown →
14.
Huang, Min‐Wei, et al.. (2016). Relationship among methadone dose, polymorphisms of dopamine D2 receptor and tri-dimensional personality questionnaire in heroin-addicted patients. Behavioral and Brain Functions. 12(1). 24–24. 6 indexed citations
15.
Wu, Liucheng, Jiansi Chen, Yuzhou Qin, et al.. (2015). SATB2 suppresses gastric cancer cell proliferation and migration. Tumor Biology. 37(4). 4597–4602. 20 indexed citations
16.
Tsai, Kuan‐Yi, Ching‐Chih Lee, Chao‐Yueh Su, et al.. (2014). The risks of major osteoporotic fractures in patients with schizophrenia: A population-based 10-year follow-up study. Schizophrenia Research. 159(2-3). 322–328. 29 indexed citations
17.
Huang, Min‐Wei, Tsung‐Tsair Yang, Bojian Wu, et al.. (2012). Effects of paliperidone extended release on the symptoms and functioning of schizophrenia. PubMed. 12(1). 1–1. 31 indexed citations
18.
Chen, Yen-Ting, et al.. (2011). Physiological signal analysis for patients with depression. 805–808. 18 indexed citations
19.
Huang, Min‐Wei, et al.. (2011). A comparative study on long-term evoked auditory and visual potential responses between Schizophrenic patients and normal subjects. BMC Psychiatry. 11(1). 74–74. 10 indexed citations
20.
Huang, Min‐Wei & Jasbir S. Arora. (1997). Performance of a Genetic Algorithm for Structural Design Using Available Sections. 793–797.

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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