Yo‐Ping Huang

2.5k total citations · 1 hit paper
156 papers, 1.6k citations indexed

About

Yo‐Ping Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yo‐Ping Huang has authored 156 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 30 papers in Computer Vision and Pattern Recognition and 26 papers in Information Systems. Recurrent topics in Yo‐Ping Huang's work include Fuzzy Logic and Control Systems (22 papers), Rough Sets and Fuzzy Logic (14 papers) and Data Mining Algorithms and Applications (13 papers). Yo‐Ping Huang is often cited by papers focused on Fuzzy Logic and Control Systems (22 papers), Rough Sets and Fuzzy Logic (14 papers) and Data Mining Algorithms and Applications (13 papers). Yo‐Ping Huang collaborates with scholars based in Taiwan, Norway and United States. Yo‐Ping Huang's co-authors include Frode Eika Sandnes, Pritpal Singh, Satheesh Abimannan, Hsin‐Ta Chiao, Yue‐Shan Chang, Yi-Ting Tsai, Kuan-Ming Lin, Tsu‐Tian Lee, Seiji Yasunobu and Shen‐Ing Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Yo‐Ping Huang

140 papers receiving 1.6k citations

Hit Papers

Artificial Intelligence of Things (AIoT) Advances in Aqua... 2025 2026 2025 5 10 15 20
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Artificial Intelligence of Things (AIoT) Advances in Aquaculture: A Review
    2025 23 citations Yo‐Ping Huang et al. Processes profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yo‐Ping Huang Taiwan 21 318 273 258 187 186 156 1.6k
Chao‐Tung Yang Taiwan 26 362 1.1× 248 0.9× 209 0.8× 49 0.3× 154 0.8× 318 2.8k
Emilio Soria‐Olivas Spain 29 654 2.1× 188 0.7× 267 1.0× 75 0.4× 55 0.3× 122 2.5k
Annamária R. Várkonyi-Kóczy Hungary 20 492 1.5× 230 0.8× 282 1.1× 87 0.5× 49 0.3× 156 1.9k
Uzair Aslam Bhatti China 32 502 1.6× 358 1.3× 1.2k 4.6× 79 0.4× 253 1.4× 170 3.2k
Eftim Zdravevski North Macedonia 24 362 1.1× 164 0.6× 537 2.1× 35 0.2× 120 0.6× 129 2.0k
Maitreyee Dutta India 17 220 0.7× 383 1.4× 161 0.6× 67 0.4× 266 1.4× 102 1.3k
Ping‐Huan Kuo Taiwan 20 532 1.7× 470 1.7× 252 1.0× 155 0.8× 321 1.7× 97 2.1k
Juan Diego Rodríguez Spain 9 369 1.2× 200 0.7× 122 0.5× 29 0.2× 109 0.6× 11 1.6k
Sharnil Pandya India 28 1.0k 3.2× 115 0.4× 427 1.7× 158 0.8× 45 0.2× 61 2.8k
Diego P. Ruíz Spain 26 109 0.3× 374 1.4× 83 0.3× 56 0.3× 176 0.9× 127 1.8k

Countries citing papers authored by Yo‐Ping Huang

Since Specialization
Citations

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

Fields of papers citing papers by Yo‐Ping Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yo‐Ping Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Yo‐Ping Huang. A scholar is included among the top collaborators of Yo‐Ping 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 Yo‐Ping Huang. Yo‐Ping 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, Yo‐Ping, et al.. (2025). Artificial Intelligence of Things (AIoT) Advances in Aquaculture: A Review. Processes. 13(1). 73–73. 23 indexed citations breakdown →
2.
Huang, Yo‐Ping, et al.. (2025). Deep Convolutional Neural Networks to Automatically Classify Human Heart Diseases. IEEE Access. 13. 120672–120683. 1 indexed citations
3.
Huang, Yo‐Ping, et al.. (2024). UAV-Based Automatic Detection, Localization, and Cleaning of Bird Excrement on Solar Panels. IEEE Transactions on Systems Man and Cybernetics Systems. 55(3). 1657–1670. 2 indexed citations
4.
5.
Huang, Yo‐Ping, et al.. (2023). Deep Convolutional Neural Networks for the Classification and Detection of Human Vocal Exclamations of Panic in Subway Systems. IEEE Access. 11. 59417–59427. 2 indexed citations
6.
Huang, Yo‐Ping, et al.. (2023). Object-Based Hybrid Deep Learning Technique for Recognition of Sequential Actions. IEEE Access. 11. 67385–67399. 5 indexed citations
7.
Huang, Yo‐Ping, et al.. (2023). A CNN-OSELM Multi-Layer Fusion Network With Attention Mechanism for Fish Disease Recognition in Aquaculture. IEEE Access. 11. 58729–58744. 17 indexed citations
8.
Huang, Yo‐Ping, et al.. (2022). Classification of Cough Sounds Using Spectrogram Methods and a Parallel-Stream One-Dimensional Deep Convolutional Neural Network. IEEE Access. 10. 97089–97100. 7 indexed citations
9.
Huang, Yo‐Ping, Hung‐Chi Chu, Eugene Yu‐Chuan Kang, et al.. (2020). Deep Learning Models for Automated Diagnosis of Retinopathy of Prematurity in Preterm Infants. Electronics. 9(9). 1444–1444. 37 indexed citations
10.
Huang, Yo‐Ping, et al.. (2019). Comparison of Various Data Mining Classification Techniques in the Diagnosis of Diabetic Retinopathy. Acta Polytechnica Hungarica. 16(9). 27–46. 6 indexed citations
11.
Huang, Hui‐Chun, Shen-Ing Liu, Lee‐Ching Hwang, et al.. (2017). The effectiveness of Culturally Sensitive Collaborative Treatment of depressed Chinese in family medicine clinics: A randomized controlled trial. General Hospital Psychiatry. 50. 96–103. 3 indexed citations
12.
Huang, Yu‐Hsin, Hui‐Ching Liu, Fang‐Ju Tsai, et al.. (2017). Correlation of impulsivity with self-harm and suicidal attempt: a community study of adolescents in Taiwan. BMJ Open. 7(12). e017949–e017949. 20 indexed citations
13.
Huang, Yu‐Hsin, Hui‐Ching Liu, Fang‐Ju Sun, et al.. (2017). Relationship Between Predictors of Incident Deliberate Self-Harm and Suicide Attempts Among Adolescents. Journal of Adolescent Health. 60(5). 612–618. 27 indexed citations
14.
Huang, Yo‐Ping, et al.. (2010). Ubiquitous information transfer across different platforms by QR codes. Journal of Multimedia. 6(1). 3–13. 12 indexed citations
15.
Huang, Yo‐Ping, et al.. (2007). Predicting Ocean Salinity and Temperature Variations Using Data Mining and Fuzzy Inference. International Journal of Fuzzy Systems. 9(3). 143–151. 10 indexed citations
16.
Sandnes, Frode Eika & Yo‐Ping Huang. (2006). Chording with Spatial Mnemonics: Automatic Error Correction for Eyes-Free Text Entry. Journal of information science and engineering. 22(5). 1015–1031. 11 indexed citations
17.
Huang, Yo‐Ping, et al.. (2006). Designing a Shape-Based Image Retrieval System by Grey Relational Analysis and GM(1,N) Model. 9(1). 15–22. 1 indexed citations
18.
Huang, Yo‐Ping, et al.. (2004). Using Hybrid Grey Model to Achieve Revenue Assurance of Telecommunication Companies. 7(1). 38–49. 6 indexed citations
19.
Huang, Yo‐Ping, et al.. (2002). Genetic algorithms in the identification of fuzzy compensation system. 2. 1090–1095. 3 indexed citations
20.
Huang, Yo‐Ping, et al.. (1994). Optimizing the fuzzy adaptive learning by the gradient descent approach. 701–705 vol.1.

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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