Xuchan Ju

521 total citations
18 papers, 417 citations indexed

About

Xuchan Ju is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Xuchan Ju has authored 18 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 8 papers in Control and Systems Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Xuchan Ju's work include Face and Expression Recognition (14 papers), Advanced Algorithms and Applications (8 papers) and Spectroscopy and Chemometric Analyses (5 papers). Xuchan Ju is often cited by papers focused on Face and Expression Recognition (14 papers), Advanced Algorithms and Applications (8 papers) and Spectroscopy and Chemometric Analyses (5 papers). Xuchan Ju collaborates with scholars based in China and United States. Xuchan Ju's co-authors include Yingjie Tian, Zhiquan Qi, Yong Shi, Xiaohui Liu, Yong Shi, Jie Zhang, Jiahui Li, Jingjing Tang, Ying Zhang and Tianhe Wang and has published in prestigious journals such as IEEE Transactions on Cybernetics, Neural Networks and Knowledge-Based Systems.

In The Last Decade

Xuchan Ju

18 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuchan Ju China 9 286 251 132 45 42 18 417
Xianli Pan China 13 364 1.3× 371 1.5× 104 0.8× 51 1.1× 65 1.5× 18 521
Zhiji Yang China 12 354 1.2× 343 1.4× 99 0.8× 58 1.3× 67 1.6× 16 480
AJ Smola Germany 7 165 0.6× 169 0.7× 71 0.5× 19 0.4× 35 0.8× 11 341
Oleg Okun Finland 14 263 0.9× 179 0.7× 31 0.2× 25 0.6× 28 0.7× 29 483
Zhuoping Zhou United States 2 253 0.9× 208 0.8× 38 0.3× 11 0.2× 15 0.4× 5 408
Chao Yao China 11 196 0.7× 179 0.7× 34 0.3× 8 0.2× 18 0.4× 31 397
Sang-Hoon Oh South Korea 11 83 0.3× 254 1.0× 48 0.4× 25 0.6× 49 1.2× 51 450
Jidong Zhao China 9 312 1.1× 243 1.0× 14 0.1× 9 0.2× 31 0.7× 17 442
E. K. Tang Singapore 5 165 0.6× 302 1.2× 22 0.2× 18 0.4× 8 0.2× 6 465
Na Han China 17 559 2.0× 329 1.3× 30 0.2× 15 0.3× 175 4.2× 34 792

Countries citing papers authored by Xuchan Ju

Since Specialization
Citations

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

Fields of papers citing papers by Xuchan Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuchan Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Xuchan Ju. A scholar is included among the top collaborators of Xuchan Ju 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 Xuchan Ju. Xuchan Ju 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.
Miao, Jianyu, Tiejun Yang, Chao Fan, et al.. (2022). Self-paced non-convex regularized analysis–synthesis dictionary learning for unsupervised feature selection. Knowledge-Based Systems. 241. 108279–108279. 9 indexed citations
2.
Tang, Jingjing, et al.. (2021). Robust cost-sensitive kernel method with Blinex loss and its applications in credit risk evaluation. Neural Networks. 143. 327–344. 28 indexed citations
3.
4.
Ju, Xuchan, et al.. (2021). Overview of Optimization Algorithms for Large-scale Support Vector Machines. 909–916. 3 indexed citations
5.
Tang, Jingjing, et al.. (2017). Multi-view deep metric learning for image classification. 4142–4146. 3 indexed citations
6.
Ju, Xuchan & Tianhe Wang. (2017). A Hash Based Method for Large Scale Nonparallel Support Vector Machines Prediction. Procedia Computer Science. 108. 1281–1291. 2 indexed citations
7.
Ju, Xuchan & Yingjie Tian. (2016). A divide-and-conquer method for large scale ν-nonparallel support vector machines. Neural Computing and Applications. 29(9). 497–509. 6 indexed citations
8.
Tian, Yingjie, Xuchan Ju, & Yong Shi. (2015). A divide-and-combine method for large scale nonparallel support vector machines. Neural Networks. 75. 12–21. 11 indexed citations
9.
Tian, Yingjie & Xuchan Ju. (2015). Nonparallel Support Vector Machine Based on One Optimization Problem for Pattern Recognition. Journal of the Operations Research Society of China. 3(4). 499–519. 13 indexed citations
10.
Ju, Xuchan, et al.. (2015). Multi-Dimensional Critical Control of Water Resource in Bayannur. Procedia Computer Science. 55. 238–245. 1 indexed citations
11.
Ju, Xuchan, Yingjie Tian, Dalian Liu, & Zhiquan Qi. (2015). Nonparallel Hyperplanes Support Vector Machine for Multi-class Classification. Procedia Computer Science. 51. 1574–1582. 9 indexed citations
12.
Zhang, Ying, Xuchan Ju, & Yingjie Tian. (2014). Nonparallel hyperplane support vector machine for PU learning. 703–708. 7 indexed citations
13.
Tian, Yingjie, Zhiquan Qi, Xuchan Ju, Yong Shi, & Xiaohui Liu. (2014). Nonparallel Support Vector Machines for Pattern Classification. IEEE Transactions on Cybernetics. 44(7). 1067–1079. 217 indexed citations
14.
Ju, Xuchan, et al.. (2014). Support Vector Regression and Time Series Analysis for the Forecasting of Bayannur's Total Water Requirement. Procedia Computer Science. 31. 523–531. 11 indexed citations
15.
Tian, Yingjie, Xuchan Ju, Zhiquan Qi, & Yong Shi. (2013). Efficient sparse least squares support vector machines for pattern classification. Computers & Mathematics with Applications. 66(10). 1935–1947. 7 indexed citations
16.
Tian, Yingjie, Xuchan Ju, & Zhiquan Qi. (2013). Efficient sparse nonparallel support vector machines for classification. Neural Computing and Applications. 24(5). 1089–1099. 28 indexed citations
17.
Tian, Yingjie, Xuchan Ju, Zhiquan Qi, & Yong Shi. (2013). Improved twin support vector machine. Science China Mathematics. 57(2). 417–432. 56 indexed citations
18.
Ju, Xuchan & Yingjie Tian. (2012). Knowledge-based Support Vector Machine Classifiers via Nearest Points. Procedia Computer Science. 9. 1240–1248. 2 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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