Chao‐Ming Huang

3.3k total citations
103 papers, 2.6k citations indexed

About

Chao‐Ming Huang is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Materials Chemistry. According to data from OpenAlex, Chao‐Ming Huang has authored 103 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Electrical and Electronic Engineering, 28 papers in Renewable Energy, Sustainability and the Environment and 16 papers in Materials Chemistry. Recurrent topics in Chao‐Ming Huang's work include Energy Load and Power Forecasting (25 papers), Advanced DC-DC Converters (20 papers) and Multilevel Inverters and Converters (19 papers). Chao‐Ming Huang is often cited by papers focused on Energy Load and Power Forecasting (25 papers), Advanced DC-DC Converters (20 papers) and Multilevel Inverters and Converters (19 papers). Chao‐Ming Huang collaborates with scholars based in Taiwan, Indonesia and China. Chao‐Ming Huang's co-authors include Hong‐Tzer Yang, Yann-Chang Huang, Lung‐Chuan Chen, Huo‐Ching Sun, Sung‐Pei Yang, Shin‐Ju Chen, Chin‐Chung Tsai, Yann‐Chang Huang, Ching-Lien Huang and Guan‐Ting Pan and has published in prestigious journals such as Journal of Hazardous Materials, Chemical Engineering Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Chao‐Ming Huang

96 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao‐Ming Huang Taiwan 25 1.6k 974 668 596 283 103 2.6k
Ali Q. Al‐Shetwi Malaysia 30 2.2k 1.4× 852 0.9× 259 0.4× 314 0.5× 1.2k 4.2× 77 3.7k
Qusay Hassan Iraq 27 1.0k 0.6× 679 0.7× 320 0.5× 351 0.6× 254 0.9× 65 2.4k
Hiranmay Saha India 25 2.0k 1.2× 630 0.6× 263 0.4× 561 0.9× 344 1.2× 133 2.6k
Dino Isa Malaysia 23 814 0.5× 262 0.3× 505 0.8× 277 0.5× 446 1.6× 81 2.2k
Akash Shukla India 22 880 0.5× 1.1k 1.1× 608 0.9× 415 0.7× 91 0.3× 39 2.4k
Sameer Algburi Iraq 22 653 0.4× 650 0.7× 200 0.3× 300 0.5× 182 0.6× 184 2.5k
Jianxiao Wang China 33 2.7k 1.6× 466 0.5× 171 0.3× 671 1.1× 997 3.5× 169 4.0k
Amjad Ali Saudi Arabia 21 859 0.5× 515 0.5× 185 0.3× 176 0.3× 274 1.0× 118 1.6k
Chao-Rong Chen Taiwan 26 669 0.4× 385 0.4× 124 0.2× 543 0.9× 326 1.2× 71 1.6k
Fan Zhang China 28 1.7k 1.0× 443 0.5× 131 0.2× 713 1.2× 603 2.1× 149 3.4k

Countries citing papers authored by Chao‐Ming Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Ming Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao‐Ming Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Chao‐Ming Huang. A scholar is included among the top collaborators of Chao‐Ming 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 Chao‐Ming Huang. Chao‐Ming 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, Chao‐Ming, et al.. (2025). A deterministic and probabilistic framework based on corrected wind speed to improve Short-Term wind power forecasting accuracy. International Journal of Electrical Power & Energy Systems. 170. 110859–110859. 1 indexed citations
2.
Yang, Sung‐Pei, et al.. (2025). High Step-Up Interleaved DC–DC Converter with Voltage-Lift Capacitor and Voltage Multiplier Cell. Electronics. 14(6). 1209–1209. 3 indexed citations
3.
Huang, Chao‐Ming, Shin‐Ju Chen, Sung‐Pei Yang, Yann‐Chang Huang, & Pao‐Yuan Huang. (2024). Parameter Estimation and Preliminary Fault Diagnosis for Photovoltaic Modules Using a Three-Diode Model. Energies. 17(13). 3214–3214.
4.
5.
Huang, Chao‐Ming, Shin‐Ju Chen, Sung‐Pei Yang, & Hsin‐Jen Chen. (2023). One-Day-Ahead Hourly Wind Power Forecasting Using Optimized Ensemble Prediction Methods. Energies. 16(6). 2688–2688. 14 indexed citations
6.
7.
Huang, Chao‐Ming, Yann‐Chang Huang, Shin‐Ju Chen, Sung‐Pei Yang, & Hsin‐Jen Chen. (2023). Optimal Ensemble Forecasting Method for One-Day Ahead Hourly Wind Power Forecasting. 562–567.
8.
9.
Huang, Chao‐Ming, Ching‐Yao Tsai, Chu-Chieh Chen, et al.. (2022). Palliative Family Conference Reduces the Risk of Death in Intensive Care Units and Cardiopulmonary Resuscitation at End of Life. Journal of Palliative Medicine. 25(7). 1050–1056. 3 indexed citations
10.
Yang, Hong‐Tzer, et al.. (2022). Short-Term PV Power Forecasting Using a Regression-Based Ensemble Method. Energies. 15(11). 4171–4171. 38 indexed citations
11.
Huang, Chao‐Ming, Shin‐Ju Chen, & Sung‐Pei Yang. (2022). A Parameter Estimation Method for a Photovoltaic Power Generation System Based on a Two-Diode Model. Energies. 15(4). 1460–1460. 10 indexed citations
12.
Yang, Hong‐Tzer, et al.. (2021). Stacking Ensemble Method with the RNN Meta-Learner for Short-Term PV Power Forecasting. Energies. 14(16). 4733–4733. 33 indexed citations
13.
Chen, Shin‐Ju, Sung‐Pei Yang, Chao‐Ming Huang, & Yuhua Chen. (2020). Interleaved High Step-Up DC–DC Converter with Voltage-Lift and Voltage-Stack Techniques for Photovoltaic Systems. Energies. 13(10). 2537–2537. 12 indexed citations
14.
Shi, Ce, et al.. (2020). Pseudogene MSTO2P enhances hypoxia-induced osteosarcoma malignancy by upregulating PD-L1. Biochemical and Biophysical Research Communications. 530(4). 673–679. 8 indexed citations
15.
Ko, Ming-Chung, et al.. (2020). Trends of Utilization of Palliative Care and Aggressive End-of-Life Care for Patients Who Died of Cancers and Those Who Died of Noncancer Diseases in Hospitals. Journal of Pain and Symptom Management. 60(6). 1136–1143. 7 indexed citations
16.
Chen, Shin‐Ju, Sung‐Pei Yang, Chao‐Ming Huang, Huann-Ming Chou, & Mengjie Shen. (2018). Interleaved High Step-Up DC-DC Converter Based on Voltage Multiplier Cell and Voltage-Stacking Techniques for Renewable Energy Applications. Energies. 11(7). 1632–1632. 16 indexed citations
17.
Huang, Chao‐Ming, et al.. (2018). [The Promotion of Resources Integration in Long-Term Care Service: The Experience of Taipei City Hospital].. PubMed. 65(1). 24–32. 3 indexed citations
18.
Huang, Chao‐Ming, et al.. (2018). Validation of a concise screening tool for the identification of palliative care needs among inpatients: A prospective study in hospital setting. Journal of the Formosan Medical Association. 118(5). 883–890. 19 indexed citations
19.
Huang, Chao‐Ming, et al.. (2012). Preparation of acrylic acid-modified chitin improved by an experimental design and its application in absorbing toxic organic compounds. Journal of Hazardous Materials. 241-242. 190–196. 14 indexed citations
20.
Huang, Chao‐Ming, et al.. (2010). A Fast Restoration Strategy in Distribution Systems Using an Enhanced Differential Evolution Approach. International Journal of Emerging Electric Power Systems. 11(3).

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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