Zhiji Yang

567 total citations
16 papers, 480 citations indexed

About

Zhiji Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Analytical Chemistry. According to data from OpenAlex, Zhiji Yang has authored 16 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Analytical Chemistry. Recurrent topics in Zhiji Yang's work include Face and Expression Recognition (12 papers), Machine Learning and ELM (7 papers) and Spectroscopy and Chemometric Analyses (7 papers). Zhiji Yang is often cited by papers focused on Face and Expression Recognition (12 papers), Machine Learning and ELM (7 papers) and Spectroscopy and Chemometric Analyses (7 papers). Zhiji Yang collaborates with scholars based in China. Zhiji Yang's co-authors include Yitian Xu, Xianli Pan, Lai‐Sheng Wang, Jiang Zhao, Xiaoyan Li, Mei Chen, Guohui Li, Guohui Li, Jianhua Zhao and Huan Zhang and has published in prestigious journals such as IEEE Access, Pattern Recognition and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Zhiji Yang

16 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhiji Yang China	12	354	343	99	67	58	16	480
Xianli Pan China	13	364 1.0×	371 1.1×	104 1.1×	65 1.0×	51 0.9×	18	521
Xuchan Ju China	9	286 0.8×	251 0.7×	132 1.3×	42 0.6×	45 0.8×	18	417
AJ Smola Germany	7	165 0.5×	169 0.5×	71 0.7×	35 0.5×	19 0.3×	11	341
Zhuoping Zhou United States	2	253 0.7×	208 0.6×	38 0.4×	15 0.2×	11 0.2×	5	408
Shuxia Lu China	7	114 0.3×	198 0.6×	48 0.5×	21 0.3×	9 0.2×	18	344
Lai Tian China	10	346 1.0×	249 0.7×	20 0.2×	50 0.7×	13 0.2×	14	469
Yunwen Lei China	11	97 0.3×	242 0.7×	33 0.3×	111 1.7×	6 0.1×	51	355
Gui-Fu Lu China	12	341 1.0×	127 0.4×	29 0.3×	57 0.9×	17 0.3×	35	412
Danyang Wu China	14	404 1.1×	365 1.1×	27 0.3×	46 0.7×	12 0.2×	43	607
Ayan Acharya United States	9	87 0.2×	181 0.5×	100 1.0×	9 0.1×	8 0.1×	20	359

Countries citing papers authored by Zhiji Yang

Since Specialization

Citations

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

Fields of papers citing papers by Zhiji Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiji Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiji Yang. A scholar is included among the top collaborators of Zhiji 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 Zhiji Yang. Zhiji 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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16 of 16 papers shown

Yang, Zhiji, Wanyi Chen, Huan Zhang, et al.. (2024). A safe screening rule with bi-level optimization of ν support vector machine. Pattern Recognition. 155. 110644–110644. 5 indexed citations

Yang, Zhiji, et al.. (2023). A Complete Deep Support Vector Data Description for One Class Learning. IEEE Access. 11. 117494–117507. 1 indexed citations

Yang, Zhiji & Yitian Xu. (2018). A safe sample screening rule for Laplacian twin parametric-margin support vector machine. Pattern Recognition. 84. 1–12. 17 indexed citations

Yang, Zhiji & Yitian Xu. (2018). A safe accelerative approach for pinball support vector machine classifier. Knowledge-Based Systems. 147. 12–24. 15 indexed citations

Yang, Zhiji, Xianli Pan, & Yitian Xu. (2018). Piecewise linear solution path for pinball twin support vector machine. Knowledge-Based Systems. 160. 311–324. 7 indexed citations

Xu, Yitian, Xiaoyan Li, Xianli Pan, & Zhiji Yang. (2017). Asymmetric ν-twin support vector regression. Neural Computing and Applications. 30(12). 3799–3814. 29 indexed citations

Yang, Zhiji & Yitian Xu. (2017). A safe screening rule for Laplacian support vector machine. Engineering Applications of Artificial Intelligence. 67. 309–316. 23 indexed citations

Xu, Yitian, et al.. (2017). KNN-based maximum margin and minimum volume hyper-sphere machine for imbalanced data classification. International Journal of Machine Learning and Cybernetics. 10(2). 357–368. 17 indexed citations

Pan, Xianli, et al.. (2017). Safe Screening Rules for Accelerating Twin Support Vector Machine Classification. IEEE Transactions on Neural Networks and Learning Systems. 29(5). 1876–1887. 63 indexed citations

10.

Xu, Yitian, Zhiji Yang, & Xianli Pan. (2016). A Novel Twin Support-Vector Machine With Pinball Loss. IEEE Transactions on Neural Networks and Learning Systems. 28(2). 359–370. 159 indexed citations

11.

Zhao, Jiang, Zhiji Yang, & Yitian Xu. (2016). Nonparallel least square support vector machine for classification. Applied Intelligence. 45(4). 1119–1128. 11 indexed citations

12.

Xu, Yitian, et al.. (2015). Imbalanced and semi-supervised classification for prognosis of ACLF. Journal of Intelligent & Fuzzy Systems. 28(2). 737–745. 4 indexed citations

13.

Xu, Yitian, et al.. (2015). A maximum margin and minimum volume hyper-spheres machine with pinball loss for imbalanced data classification. Knowledge-Based Systems. 95. 75–85. 53 indexed citations

14.

Yang, Zhiji & Yitian Xu. (2015). Laplacian twin parametric-margin support vector machine for semi-supervised classification. Neurocomputing. 171. 325–334. 30 indexed citations

15.

Xu, Yitian, Mei Chen, Zhiji Yang, & Guohui Li. (2015). ν-twin support vector machine with Universum data for classification. Applied Intelligence. 44(4). 956–968. 14 indexed citations

16.

Xu, Yitian, et al.. (2014). Structural least square twin support vector machine for classification. Applied Intelligence. 42(3). 527–536. 32 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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