Zhixia Yang

697 total citations
46 papers, 401 citations indexed

About

Zhixia Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Zhixia Yang has authored 46 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 9 papers in Computational Mechanics. Recurrent topics in Zhixia Yang's work include Face and Expression Recognition (19 papers), Machine Learning and ELM (8 papers) and Sparse and Compressive Sensing Techniques (7 papers). Zhixia Yang is often cited by papers focused on Face and Expression Recognition (19 papers), Machine Learning and ELM (8 papers) and Sparse and Compressive Sensing Techniques (7 papers). Zhixia Yang collaborates with scholars based in China, United States and Montenegro. Zhixia Yang's co-authors include Nai-Yang Deng, Yongcui Wang, Yuan‐Hai Shao, Xiaobo Wang, Yong Wang, Yong Wang, Yao‐Lin Jiang, Menglei Xia, Hongzhang Chen and Kang Xu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Frontiers in Immunology and Information Sciences.

In The Last Decade

Zhixia Yang

42 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhixia Yang China	10	167	108	105	76	59	46	401
Omar Saber Qasim Iraq	10	64 0.4×	91 0.8×	260 2.5×	58 0.8×	21 0.4×	42	417
Hang Chen China	11	61 0.4×	152 1.4×	94 0.9×	15 0.2×	50 0.8×	59	433
Hyunsoo Kim South Korea	6	99 0.6×	78 0.7×	139 1.3×	48 0.6×	21 0.4×	17	331
Hanqun Cao China	4	103 0.6×	60 0.6×	48 0.5×	103 1.4×	20 0.3×	5	330
Shin Ando Japan	11	150 0.9×	49 0.5×	224 2.1×	38 0.5×	16 0.3×	42	391
Sheng-Wei Tsai Taiwan	6	41 0.2×	63 0.6×	217 2.1×	63 0.8×	51 0.9×	7	322
Zhaohui Qi China	12	278 1.7×	26 0.2×	77 0.7×	36 0.5×	74 1.3×	46	493
Shuangbao Song Japan	11	82 0.5×	29 0.3×	215 2.0×	96 1.3×	24 0.4×	23	353
E. K. Tang Singapore	5	84 0.5×	165 1.5×	302 2.9×	25 0.3×	22 0.4×	6	465

Countries citing papers authored by Zhixia Yang

Since Specialization

Citations

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

Fields of papers citing papers by Zhixia Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhixia Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhixia Yang. A scholar is included among the top collaborators of Zhixia 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 Zhixia Yang. Zhixia 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, Zhixia, et al.. (2025). Kernel-free quadratic surface SVM for conditional probability estimation in imbalanced multi-class classification. Neural Networks. 188. 107480–107480. 1 indexed citations

Yang, Zhixia, et al.. (2025). Dual-Focus Residual Tensor Enhancement Network for Infrared Small Target Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–13.

Si, Qi, et al.. (2025). A kernel-free quadratic surface twin support vector machine with capped L1-norm distance metric for robust classification. Applied Soft Computing. 180. 113317–113317.

Wu, Mingyang & Zhixia Yang. (2024). Kernel-free Reduced Quadratic Surface Support Vector Machine with 0-1 Loss Function and L$$_p$$-norm Regularization. Annals of Data Science. 12(1). 381–412. 1 indexed citations

Chen, Rongda, et al.. (2023). Kernel‐Free Nonlinear Support Vector Machines for Multiview Binary Classification Problems. International Journal of Intelligent Systems. 2023(1). 2 indexed citations

Wang, Changlin, et al.. (2023). Kernel-Free Quadratic Surface Regression for Multi-Class Classification. Entropy. 25(7). 1103–1103.

Si, Qi, et al.. (2023). Symmetric LINEX loss twin support vector machine for robust classification and its fast iterative algorithm. Neural Networks. 168. 143–160. 8 indexed citations

Li, Congrong, et al.. (2022). Fidgetin knockdown and knockout influences female reproduction distinctly in mice. Journal of Biomedical Research. 36(4). 269–269. 2 indexed citations

Wang, Yang, Zhixia Yang, Xin Wang, et al.. (2022). Oocytes could rearrange immunoglobulin production to survive over adverse environmental stimuli. Frontiers in Immunology. 13. 990077–990077. 2 indexed citations

10.

Xu, Kang, Yao‐Lin Jiang, & Zhixia Yang. (2016). H₂optimal model order reduction by two-sided technique on Grassmann manifold via the cross-gramian of bilinear systems. International Journal of Control. 90(3). 616–626. 14 indexed citations

11.

Yang, Zhixia, Zhe Zhou, & Yao‐Lin Jiang. (2016). Least squares support vector machine with parametric margin for binary classification1. Journal of Intelligent & Fuzzy Systems. 30(5). 2897–2904. 4 indexed citations

12.

Xia, Menglei, Lan Wang, Zhixia Yang, & Hongzhang Chen. (2015). Periodic-peristole agitation for process enhancement of butanol fermentation. Biotechnology for Biofuels. 8(1). 225–225. 11 indexed citations

13.

Xu, Kang, Yao‐Lin Jiang, & Zhixia Yang. (2015). H2 order-reduction for bilinear systems based on Grassmann manifold. Journal of the Franklin Institute. 352(10). 4467–4479. 10 indexed citations

14.

Wang, Yongcui, Yong Wang, Zhixia Yang, & Nai-Yang Deng. (2011). Support vector machine prediction of enzyme function with conjoint triad feature and hierarchical context. BMC Systems Biology. 5(S1). S6–S6. 32 indexed citations

15.

Wang, Yongcui, Xiaobo Wang, Zhixia Yang, & Nai-Yang Deng. (2010). Prediction of Enzyme Subfamily Class via Pseudo Amino Acid Composition by Incorporating the Conjoint Triad Feature. Protein and Peptide Letters. 17(11). 1441–1449. 61 indexed citations

16.

Gao, Tingting, Zhixia Yang, Yong Wang, & Ling Jing. (2009). Identifying translation initiation sites in prokaryotes using support vector machine. Journal of Theoretical Biology. 262(4). 644–649. 7 indexed citations

17.

Wang, Yongcui, Jiguang Wang, Zhixia Yang, & Nai-Yang Deng. (2009). Prediction of Protein-Protein Interaction Based Only on Coding Sequences. 1 indexed citations

18.

Yang, Zhixia, et al.. (2008). Generating Method of Pair-Wise Covering Test Data Based on ACO. 776–779. 6 indexed citations

19.

Yang, Zhixia, Yingjie Tian, & Nai-Yang Deng. (2008). Leave-one-out bounds for support vector ordinal regression machine. Neural Computing and Applications. 18(7). 731–748. 4 indexed citations

20.

Yang, Zhixia, Yingjie Tian, & Nai-Yang Deng. (2007). Second Order Cone Programming Formulations for Robust Support Vector Ordinal Regression Machine. 1 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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