Ming-Yuan Cho

798 total citations
55 papers, 508 citations indexed

About

Ming-Yuan Cho is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Materials Chemistry. According to data from OpenAlex, Ming-Yuan Cho has authored 55 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Electrical and Electronic Engineering, 23 papers in Control and Systems Engineering and 12 papers in Materials Chemistry. Recurrent topics in Ming-Yuan Cho's work include Power Transformer Diagnostics and Insulation (13 papers), High voltage insulation and dielectric phenomena (12 papers) and Smart Grid Energy Management (9 papers). Ming-Yuan Cho is often cited by papers focused on Power Transformer Diagnostics and Insulation (13 papers), High voltage insulation and dielectric phenomena (12 papers) and Smart Grid Energy Management (9 papers). Ming-Yuan Cho collaborates with scholars based in Taiwan, Vietnam and Yemen. Ming-Yuan Cho's co-authors include Phuong Nguyen Thanh, Tsair-Fwu Lee, Fu‐Min Fang, Mengjie Chen, Pei‐Ju Chao, Mahamad Nabab Alam, Nicholas Kiprotich Cheruiyot, Yimin Li, Chin‐Shiuh Shieh and Chitsan Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Systems and IEEE Access.

In The Last Decade

Ming-Yuan Cho

51 papers receiving 484 citations

Peers

Ming-Yuan Cho
Bing Zeng China
J.A. Jardini Brazil
Ashwani Kumar Chandel India
Jiejie Dai China
Shiue‐Der Lu Taiwan
Jiarui Hao China
Peter Mather United Kingdom
Bing Zeng China
Ming-Yuan Cho
Citations per year, relative to Ming-Yuan Cho Ming-Yuan Cho (= 1×) peers Bing Zeng

Countries citing papers authored by Ming-Yuan Cho

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Yuan Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Yuan Cho. 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 Ming-Yuan Cho. The network helps show where Ming-Yuan Cho may publish in the future.

Co-authorship network of co-authors of Ming-Yuan Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Yuan Cho. A scholar is included among the top collaborators of Ming-Yuan Cho 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 Ming-Yuan Cho. Ming-Yuan Cho 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.
Thanh, Phuong Nguyen & Ming-Yuan Cho. (2025). A cloud-based leakage current classified system for high voltage insulators with improved particle swarm optimization and hybrid deep learning technique. Engineering Applications of Artificial Intelligence. 143. 109987–109987. 9 indexed citations
2.
Thanh, Phuong Nguyen, et al.. (2025). Online prognostic failure AIoT system for industrial generators maintenance service based two-stage deep learning algorithm. Control Engineering Practice. 157. 106263–106263. 1 indexed citations
3.
Thanh, Phuong Nguyen, et al.. (2025). Fault detection of industrial air separation stations based on metaheuristic optimization and bidirectional long short-term memory technique. Internet of Things. 36. 101850–101850. 1 indexed citations
4.
Thanh, Phuong Nguyen, et al.. (2025). Cloud-based AIoT intelligent infrastructure for firefighting pump fault diagnosis-based hybrid CNN-GRU deep learning technique. The Journal of Supercomputing. 81(3). 1 indexed citations
5.
Thanh, Phuong Nguyen & Ming-Yuan Cho. (2024). Advanced AIoT for failure classification of industrial diesel generators based hybrid deep learning CNN-BiLSTM algorithm. Advanced Engineering Informatics. 62. 102644–102644. 23 indexed citations
6.
Thanh, Phuong Nguyen, et al.. (2024). Novel cloud-AIoT fault diagnosis for industrial diesel generators based hybrid deep learning CNN-BGRU algorithm. Internet of Things. 26. 101164–101164. 16 indexed citations
7.
Thanh, Phuong Nguyen, et al.. (2024). A cloud 15kV-HDPE insulator leakage current classification based improved particle swarm optimization and LSTM-CNN deep learning approach. Swarm and Evolutionary Computation. 91. 101755–101755. 8 indexed citations
8.
Liu, Wenbin, et al.. (2024). A Failure Diagnosis Approach for Firefighting Pump Based Deep Learning GRU Methodology. 1–6. 2 indexed citations
9.
Thanh, Phuong Nguyen, et al.. (2024). Real-time AIoT anomaly detection for industrial diesel generator based an efficient deep learning CNN-LSTM in industry 4.0. Internet of Things. 27. 101280–101280. 15 indexed citations
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Liu, Wenbin, et al.. (2024). Failure Classified Method for Diesel Generators Based Long Short-Term Memory Approach. 1–6. 2 indexed citations
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Thanh, Phuong Nguyen, et al.. (2022). Short-Term Load Power Prediction Based Deep Learning Gated Recurrent Unit in Solar Power Plant. 36–40. 2 indexed citations
15.
Thanh, Phuong Nguyen, et al.. (2022). Predicting Leakage Current of Distribution Insulators Based Deep Learning Gated Recurrent Unit. 46–50. 1 indexed citations
16.
Cho, Ming-Yuan, et al.. (2017). Fault Diagnosis for Distribution Networks Using Enhanced Support Vector Machine Classifier with Classical Multidimensional Scaling. SHILAP Revista de lepidopterología. 1 indexed citations
17.
Lee, Tsair-Fwu, Ming-Yuan Cho, Chin‐Shiuh Shieh, & Fu‐Min Fang. (2006). Particle Swarm Optimization-Based SVM Application: Power Transformers Incipient Fault Syndrome Diagnosis. 1. 468–472. 3 indexed citations
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Cho, Ming-Yuan, et al.. (2005). A SCADA System Application in Load Management. Journal of the Association for Information Systems. 3 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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2026