Weixin Yang

1.1k total citations
31 papers, 560 citations indexed

About

Weixin Yang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Weixin Yang has authored 31 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Electrical and Electronic Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Weixin Yang's work include Handwritten Text Recognition Techniques (8 papers), Vehicle License Plate Recognition (4 papers) and Power Systems and Renewable Energy (3 papers). Weixin Yang is often cited by papers focused on Handwritten Text Recognition Techniques (8 papers), Vehicle License Plate Recognition (4 papers) and Power Systems and Renewable Energy (3 papers). Weixin Yang collaborates with scholars based in China, United Kingdom and United States. Weixin Yang's co-authors include Lianwen Jin, Songxuan Lai, Ziyong Feng, Jun Sun, Xuefeng Xiao, Tianhai Chang, Yafeng Yang, Dacheng Tao, Zecheng Xie and Xin Zhang and has published in prestigious journals such as Scientific Reports, IEEE Access and Chemical Science.

In The Last Decade

Weixin Yang

26 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weixin Yang China	10	420	154	145	94	36	31	560
Santosh Kumar Vipparthi India	18	606 1.4×	117 0.8×	110 0.8×	107 1.1×	17 0.5×	56	815
Peter James Vial Australia	11	421 1.0×	46 0.3×	94 0.6×	57 0.6×	73 2.0×	55	668
Ziyong Feng China	11	336 0.8×	107 0.7×	76 0.5×	109 1.2×	19 0.5×	17	423
John Weng United States	11	259 0.6×	130 0.8×	58 0.4×	48 0.5×	41 1.1×	33	442
Olfa Jemai Tunisia	13	334 0.8×	140 0.9×	66 0.5×	103 1.1×	18 0.5×	42	530
Hamid Amiri Tunisia	12	678 1.6×	283 1.8×	169 1.2×	54 0.6×	16 0.4×	76	826
Filippo Vella Italy	12	263 0.6×	173 1.1×	86 0.6×	33 0.4×	23 0.6×	62	498
C.Y. Suen Canada	15	369 0.9×	204 1.3×	101 0.7×	38 0.4×	17 0.5×	40	640
Dushyant Kumar Singh India	14	325 0.8×	157 1.0×	27 0.2×	68 0.7×	55 1.5×	64	579

Countries citing papers authored by Weixin Yang

Since Specialization

Citations

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

Fields of papers citing papers by Weixin Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weixin Yang

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

All Works

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20 of 20 papers shown

Yang, Weixin, et al.. (2025). MCGAN: Enhancing GAN Training with Regression-Based Generator Loss. Proceedings of the AAAI Conference on Artificial Intelligence. 39(20). 21644–21652.

Cohen, Samuel N., James Foster, Peter R. Foster, et al.. (2024). Subtle variation in sepsis-III definitions markedly influences predictive performance within and across methods. Scientific Reports. 14(1). 1920–1920. 4 indexed citations

Zhao, Hongshan, et al.. (2024). A temperature rise calculation model of wind turbine gearbox gear considering crack fault and tooth number difference. IET Renewable Power Generation. 18(15). 3416–3428. 1 indexed citations

Wang, Wenhui, et al.. (2024). Amplifying dual-visible-light photoswitching in aqueous media via confinement promoted triplet–triplet energy transfer. Chemical Science. 15(15). 5539–5547. 13 indexed citations

Yang, Weixin, et al.. (2023). Method for Evaluating the Reliability and Competitive Failure of Wind Turbine Gearbox Bearings Considering the Fault Incubation Point. Energies. 16(14). 5261–5261. 5 indexed citations

Gong, Chao, et al.. (2022). Fault Feature Parameter Extraction Method for Wind Turbine Based on Relief Algorithm. 9. 163–168. 1 indexed citations

Cass, Thomas, et al.. (2020). Computing the untruncated signature kernel as the solution of a Goursat problem. arXiv (Cornell University). 1 indexed citations

Cass, Thomas, et al.. (2020). Computing the full signature kernel as the solution of a Goursat problem. arXiv (Cornell University).

Zhang, Xin, et al.. (2019). Skeleton-Based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer Module. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 8585–8593. 25 indexed citations

10.

Zhang, Junjun, et al.. (2019). Empirical test and evaluation of efficiency of string PV inverters. 34. 1–5. 1 indexed citations

11.

Li, Pingxue, Tiansong Zhang, Min Yang, et al.. (2019). A method to obtain the gain coefficient and dithering amplitude of multi-dithering algorithm in coherent beam combining system based on threshold testing. Applied Physics B. 125(4). 3 indexed citations

12.

Yang, Weixin, Terry Lyons, Hao Ni, et al.. (2017). Leveraging the Path Signature for Skeleton-based Human Action Recognition.. arXiv (Cornell University). 18 indexed citations

13.

Lai, Songxuan, Lianwen Jin, & Weixin Yang. (2017). Toward high-performance online HCCR: A CNN approach with DropDistortion , path signature and spatial stochastic max-pooling. Pattern Recognition Letters. 89. 60–66. 36 indexed citations

14.

Lai, Songxuan, Lianwen Jin, & Weixin Yang. (2017). Online Signature Verification Using Recurrent Neural Network and Length-Normalized Path Signature Descriptor. 400–405. 45 indexed citations

15.

Yang, Weixin, Lianwen Jin, Hao Ni, & Terry Lyons. (2016). Rotation-free online handwritten character recognition using dyadic path signature features, hanging normalization, and deep neural network. 4083–4088. 9 indexed citations

16.

Jin, Lianwen, et al.. (2016). Handwritten/Printed Receipt Classification Using Attention-Based Convolutional Neural Network. 384–389. 3 indexed citations

17.

Yang, Weixin, Lianwen Jin, Dacheng Tao, Zecheng Xie, & Ziyong Feng. (2016). DropSample : A new training method to enhance deep convolutional neural networks for large-scale unconstrained handwritten Chinese character recognition. Pattern Recognition. 58. 190–203. 95 indexed citations

18.

Yang, Weixin, et al.. (2015). Chinese character-level writer identification using path signature feature, DropStroke and deep CNN. 546–550. 44 indexed citations

19.

Cai, Ning, Xiaoyan Wang, Caixia Wang, & Weixin Yang. (2013). On controllabilization of dynamical networks via single leader. 6912–6916.

20.

Yao, Zhilei, Lan Xiao, Yong Huang, & Weixin Yang. (2008). Push-pull forward three-level converter for high-voltage fuel cell applications. International Conference on Electrical Machines and Systems. 2698–2703. 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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