Xianli Pan

618 total citations
18 papers, 521 citations indexed

About

Xianli Pan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Analytical Chemistry. According to data from OpenAlex, Xianli Pan has authored 18 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 5 papers in Analytical Chemistry. Recurrent topics in Xianli Pan's work include Face and Expression Recognition (13 papers), Machine Learning and ELM (8 papers) and Spectroscopy and Chemometric Analyses (5 papers). Xianli Pan is often cited by papers focused on Face and Expression Recognition (13 papers), Machine Learning and ELM (8 papers) and Spectroscopy and Chemometric Analyses (5 papers). Xianli Pan collaborates with scholars based in China. Xianli Pan's co-authors include Yitian Xu, Zhiji Yang, Lai‐Sheng Wang, Hongmei Wang, Xiaoyan Li, Jiang Zhao, Guohui Li, Yingli Tian, Hongmei Wang and Jirui Yang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Signal Processing.

In The Last Decade

Xianli Pan

17 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xianli Pan China 13 371 364 104 65 51 18 521
Zhiji Yang China 12 343 0.9× 354 1.0× 99 1.0× 67 1.0× 58 1.1× 16 480
Xuchan Ju China 9 251 0.7× 286 0.8× 132 1.3× 42 0.6× 45 0.9× 18 417
Zhizheng Liang China 12 117 0.3× 188 0.5× 58 0.6× 27 0.4× 24 0.5× 31 347
AJ Smola Germany 7 169 0.5× 165 0.5× 71 0.7× 35 0.5× 19 0.4× 11 341
Fujin Zhong China 9 113 0.3× 345 0.9× 25 0.2× 77 1.2× 40 0.8× 20 485
Oleg Okun Finland 14 179 0.5× 263 0.7× 31 0.3× 28 0.4× 25 0.5× 29 483
Zhuoping Zhou United States 2 208 0.6× 253 0.7× 38 0.4× 15 0.2× 11 0.2× 5 408
Hoai Minh Le France 12 138 0.4× 126 0.3× 51 0.5× 216 3.3× 9 0.2× 21 447
Shuxia Lu China 7 198 0.5× 114 0.3× 48 0.5× 21 0.3× 9 0.2× 18 344
Jianhua Xu China 13 310 0.8× 263 0.7× 31 0.3× 22 0.3× 21 0.4× 42 554

Countries citing papers authored by Xianli Pan

Since Specialization
Citations

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

Fields of papers citing papers by Xianli Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianli Pan

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

All Works

18 of 18 papers shown
1.
2.
Pan, Xianli & Yitian Xu. (2021). A safe feature elimination rule for L1-regularized logistic regression. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(9). 1–1. 20 indexed citations
3.
Pan, Xianli, et al.. (2019). Multi-parameter safe sample elimination rule for accelerating nonlinear multi-class support vector machines. Pattern Recognition. 95. 1–11. 12 indexed citations
4.
Wang, Hongmei, Xianli Pan, & Yitian Xu. (2019). Simultaneous Safe Feature and Sample Elimination for Sparse Support Vector Regression. IEEE Transactions on Signal Processing. 67(15). 4043–4054. 13 indexed citations
5.
Xu, Yitian, Yingli Tian, Xianli Pan, & Hongmei Wang. (2018). E-ENDPP: a safe feature selection rule for speeding up Elastic Net. Applied Intelligence. 49(2). 592–604. 2 indexed citations
6.
Pan, Xianli & Yitian Xu. (2018). A safe reinforced feature screening strategy for lasso based on feasible solutions. Information Sciences. 477. 132–147. 15 indexed citations
7.
Pan, Xianli, et al.. (2018). A safe screening based framework for support vector regression. Neurocomputing. 287. 163–172. 23 indexed citations
8.
Pan, Xianli & Yitian Xu. (2018). A Novel and Safe Two-Stage Screening Method for Support Vector Machine. IEEE Transactions on Neural Networks and Learning Systems. 30(8). 2263–2274. 18 indexed citations
9.
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
10.
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
11.
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
12.
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
13.
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
14.
Pan, Xianli & Yitian Xu. (2015). Two effective sample selection methods for support vector machine. Journal of Intelligent & Fuzzy Systems. 30(2). 659–670. 9 indexed citations
15.
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
16.
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
17.
Pan, Xianli, et al.. (2015). K-nearest neighbor based structural twin support vector machine. Knowledge-Based Systems. 88. 34–44. 45 indexed citations
18.
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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