Yao Chou

477 total citations
12 papers, 355 citations indexed

About

Yao Chou is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yao Chou has authored 12 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yao Chou's work include Neural Networks and Applications (3 papers), Robotic Mechanisms and Dynamics (3 papers) and Advanced Numerical Analysis Techniques (2 papers). Yao Chou is often cited by papers focused on Neural Networks and Applications (3 papers), Robotic Mechanisms and Dynamics (3 papers) and Advanced Numerical Analysis Techniques (2 papers). Yao Chou collaborates with scholars based in China and United States. Yao Chou's co-authors include Long Jin, Yunong Zhang, Yonghua Yin, Dongsheng Guo, Yuhe Li, Mei Liu, Zhiguan Huang, Liangming Chen, Dah-Jye Lee and Dong Zhang and has published in prestigious journals such as IEEE Access, Neurocomputing and Knowledge-Based Systems.

In The Last Decade

Yao Chou

12 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yao Chou China 9 132 122 117 100 29 12 355
Tillmann Falck Belgium 8 90 0.7× 55 0.5× 123 1.1× 4 0.0× 8 0.3× 12 340
Qi Feng China 8 30 0.2× 40 0.3× 31 0.3× 11 0.1× 12 0.4× 38 320
Elad Gilboa United States 9 60 0.5× 35 0.3× 77 0.7× 3 0.0× 40 1.4× 11 269
Xiping He China 10 35 0.3× 105 0.9× 15 0.1× 8 0.1× 23 0.8× 34 290
Omar Reyad Egypt 13 98 0.7× 142 1.2× 12 0.1× 6 0.1× 46 1.6× 30 379
Waleed Saad Egypt 12 58 0.4× 38 0.3× 7 0.1× 30 0.3× 32 1.1× 62 403
Yiwen Yang China 10 176 1.3× 73 0.6× 282 2.4× 3 0.0× 19 0.7× 20 415
Yue Pan China 11 137 1.0× 25 0.2× 60 0.5× 5 0.1× 18 0.6× 25 332
Zekeriya Uykan Finland 9 146 1.1× 64 0.5× 55 0.5× 3 0.0× 10 0.3× 33 340
Abhijeet V. Nandedkar India 10 233 1.8× 130 1.1× 27 0.2× 4 0.0× 12 0.4× 19 359

Countries citing papers authored by Yao Chou

Since Specialization
Citations

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

Fields of papers citing papers by Yao Chou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yao Chou. 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 Yao Chou. The network helps show where Yao Chou may publish in the future.

Co-authorship network of co-authors of Yao Chou

This figure shows the co-authorship network connecting the top 25 collaborators of Yao Chou. A scholar is included among the top collaborators of Yao Chou 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 Yao Chou. Yao Chou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Wang, Difeng, et al.. (2023). Non-convex activated zeroing neural network model for solving time-varying nonlinear minimization problems with finite-time convergence. Knowledge-Based Systems. 274. 110633–110633. 7 indexed citations
3.
Huang, Zhiguan, Liangming Chen, Yuhe Li, et al.. (2020). Convolutional Neural Network Based on Complex Networks for Brain Tumor Image Classification With a Modified Activation Function. IEEE Access. 8. 89281–89290. 103 indexed citations
4.
Chou, Yao, et al.. (2020). High-Speed Acoustic Impact-Echo Sounding of Concrete Bridge Decks. Journal of Nondestructive Evaluation. 39(3). 12 indexed citations
5.
Jin, Long, Zhiguan Huang, Liangming Chen, et al.. (2019). Modified single-output Chebyshev-polynomial feedforward neural network aided with subset method for classification of breast cancer. Neurocomputing. 350. 128–135. 15 indexed citations
6.
Chou, Yao, et al.. (2019). Flow Adaptive Video Object Segmentation. Image and Vision Computing. 94. 103864–103864. 17 indexed citations
7.
Zhang, Dong, et al.. (2018). Recognition of Chinese food using convolutional neural network. Multimedia Tools and Applications. 78(9). 11155–11172. 32 indexed citations
8.
Chou, Yao, et al.. (2017). A parallel convolutional neural network architecture for stereo vision estimation. 2508–2512. 3 indexed citations
9.
Zhang, Yunong, Ying Wang, Weibing Li, Yao Chou, & Zhijun Zhang. (2016). WASD Algorithm with Pruning-While-Growing and Twice-Pruning Techniques for Multi-Input Euler Polynomial Neural Network. International Journal of Artificial Intelligence Tools. 25(2). 1650007–1650007. 10 indexed citations
10.
Zhang, Yunong, Long Jin, Dongsheng Guo, Yonghua Yin, & Yao Chou. (2014). Taylor-type 1-step-ahead numerical differentiation rule for first-order derivative approximation and ZNN discretization. Journal of Computational and Applied Mathematics. 273. 29–40. 107 indexed citations
11.
Zhang, Yunong, Yao Chou, Jinhao Chen, Zhijun Zhang, & Lin Xiao. (2012). Presentation, error analysis and numerical experiments on a group of 1-step-ahead numerical differentiation formulas. Journal of Computational and Applied Mathematics. 239. 406–414. 31 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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