Shuxia Lu

417 total citations
18 papers, 344 citations indexed

About

Shuxia Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Shuxia Lu has authored 18 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 9 papers in Control and Systems Engineering. Recurrent topics in Shuxia Lu's work include Advanced Algorithms and Applications (9 papers), Face and Expression Recognition (9 papers) and Machine Learning and ELM (3 papers). Shuxia Lu is often cited by papers focused on Advanced Algorithms and Applications (9 papers), Face and Expression Recognition (9 papers) and Machine Learning and ELM (3 papers). Shuxia Lu collaborates with scholars based in China and Nepal. Shuxia Lu's co-authors include Xizhao Wang, Junhai Zhai, Xu Zhou, Guiqiang Zhang, Lisha Hu, Jie Meng, Le Tong, Xianhao Liu, Jie Jiang and Yufen Zhang and has published in prestigious journals such as Information Sciences, Applied Soft Computing and International Journal of Pattern Recognition and Artificial Intelligence.

In The Last Decade

Shuxia Lu

17 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuxia Lu China 7 198 114 96 57 48 18 344
Fumin Ma China 10 182 0.9× 115 1.0× 78 0.8× 62 1.1× 41 0.9× 52 367
Christian Döring Germany 7 203 1.0× 149 1.3× 49 0.5× 35 0.6× 23 0.5× 10 360
Daniel Graves Canada 8 298 1.5× 171 1.5× 47 0.5× 22 0.4× 57 1.2× 17 428
Mark W. Hauschild United States 10 374 1.9× 35 0.3× 158 1.6× 37 0.6× 59 1.2× 15 524
Roman Neruda Czechia 11 330 1.7× 38 0.3× 146 1.5× 79 1.4× 35 0.7× 92 474
Omar Saber Qasim Iraq 10 260 1.3× 91 0.8× 58 0.6× 23 0.4× 21 0.4× 42 417
Masrour Zoghi Netherlands 8 264 1.3× 50 0.4× 150 1.6× 57 1.0× 16 0.3× 13 429
Debrup Chakraborty India 10 398 2.0× 131 1.1× 141 1.5× 40 0.7× 57 1.2× 27 505
Lianmeng Jiao China 10 259 1.3× 71 0.6× 81 0.8× 75 1.3× 37 0.8× 39 382

Countries citing papers authored by Shuxia Lu

Since Specialization
Citations

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

Fields of papers citing papers by Shuxia Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuxia Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Shuxia Lu. A scholar is included among the top collaborators of Shuxia Lu 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 Shuxia Lu. Shuxia Lu 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.
Lu, Shuxia, et al.. (2025). Proximal recursive generalized hyper-gradient descent method. Applied Soft Computing. 175. 113073–113073.
2.
Lu, Shuxia & Jie Jiang. (2021). Machine Learning Regressed Causal Inference for Discrete ANM. 678–682. 1 indexed citations
3.
Lu, Shuxia, et al.. (2019). Robust SVM Based on Zeroth Order Variance Reduction. 46(11). 193–201. 1 indexed citations
4.
Lu, Shuxia, et al.. (2016). A Map Reduce - based SVM Ensemble with Stochastic Gradient Descent. International Journal of Engineering Research and. V5(12). 1 indexed citations
5.
Lu, Shuxia, et al.. (2015). Density Weighted Core Support Vector Machine. Advances in computer science : an international journal. 4(6). 150–155. 1 indexed citations
6.
Lu, Shuxia, et al.. (2015). A weighted least squares support vector machine based on covariance matrix. 192–197. 1 indexed citations
7.
Lu, Shuxia, Xizhao Wang, Guiqiang Zhang, & Xu Zhou. (2015). Effective algorithms of the Moore-Penrose inverse matrices for extreme learning machine. Intelligent Data Analysis. 19(4). 743–760. 93 indexed citations
8.
Lu, Shuxia & Le Tong. (2014). Weighted Twin Support Vector Machine with Universum. Advances in computer science : an international journal. 3(2). 17–23. 3 indexed citations
9.
Hu, Lisha, Shuxia Lu, & Xizhao Wang. (2013). A new and informative active learning approach for support vector machine. Information Sciences. 244. 142–160. 21 indexed citations
10.
Wang, Xizhao, et al.. (2012). A total error rate multi-class classification. 20. 964–969. 1 indexed citations
11.
Zhou, Xu, et al.. (2012). Imbalanced extreme support vector machine. 21. 483–489. 1 indexed citations
12.
Lu, Shuxia, et al.. (2011). Learning the parameters for least squares support vector machine. 1527–1531. 1 indexed citations
13.
Lu, Shuxia, et al.. (2010). Support vector machine based on a new reduced samples method. 42. 1510–1514. 8 indexed citations
14.
Wang, Xizhao, Junhai Zhai, & Shuxia Lu. (2008). Induction of multiple fuzzy decision trees based on rough set technique. Information Sciences. 178(16). 3188–3202. 138 indexed citations
15.
Wang, Xizhao, Shuxia Lu, & Junhai Zhai. (2008). FAST FUZZY MULTICATEGORY SVM BASED ON SUPPORT VECTOR DOMAIN DESCRIPTION. International Journal of Pattern Recognition and Artificial Intelligence. 22(1). 109–120. 48 indexed citations
16.
Lu, Shuxia, Xianhao Liu, & Junhai Zhai. (2007). A New Fuzzy Multicategory Support Vector Machines Classifier. 12. 2859–2862. 2 indexed citations
17.
Wang, Xizhao & Shuxia Lu. (2006). Improved Fuzzy Multicategory Support Vector Machines Classifier. 3585–3589. 6 indexed citations
18.
Lu, Shuxia & Xizhao Wang. (2005). A comparison among four SVM classification methods: LSVM, NLSVM, SSVM and NSVM. 7. 4277–4282. 17 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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