Maoxiang Chu

743 total citations
41 papers, 560 citations indexed

About

Maoxiang Chu is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Control and Systems Engineering. According to data from OpenAlex, Maoxiang Chu has authored 41 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 22 papers in Industrial and Manufacturing Engineering and 14 papers in Control and Systems Engineering. Recurrent topics in Maoxiang Chu's work include Industrial Vision Systems and Defect Detection (22 papers), Face and Expression Recognition (14 papers) and Advanced Algorithms and Applications (11 papers). Maoxiang Chu is often cited by papers focused on Industrial Vision Systems and Defect Detection (22 papers), Face and Expression Recognition (14 papers) and Advanced Algorithms and Applications (11 papers). Maoxiang Chu collaborates with scholars based in China, Canada and United States. Maoxiang Chu's co-authors include Rongfen Gong, Xiaoping Liu, Jie Zhao, Anna Wang, Song Gao, Chengdong Wu, Mo Sha, Yonghui Yang, Chuang Gao and Li Zhang and has published in prestigious journals such as PLoS ONE, IEEE Access and Pattern Recognition.

In The Last Decade

Maoxiang Chu

36 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maoxiang Chu China 15 352 247 155 146 100 41 560
Rongfen Gong China 15 344 1.0× 229 0.9× 150 1.0× 113 0.8× 97 1.0× 29 527
Chuanxia Jian China 9 213 0.6× 142 0.6× 66 0.4× 84 0.6× 37 0.4× 13 522
Shuanlong Niu China 11 253 0.7× 141 0.6× 67 0.4× 114 0.8× 70 0.7× 15 392
Erhu Zhang China 10 261 0.7× 335 1.4× 62 0.4× 88 0.6× 112 1.1× 29 592
Xiaoqing Zheng China 8 166 0.5× 82 0.3× 52 0.3× 69 0.5× 54 0.5× 34 328
Arcangelo Distante Italy 12 80 0.2× 227 0.9× 31 0.2× 118 0.8× 125 1.3× 42 474
K. F. Gill United Kingdom 12 119 0.3× 43 0.2× 98 0.6× 146 1.0× 42 0.4× 52 459
Andi Wang United States 11 167 0.5× 39 0.2× 43 0.3× 141 1.0× 13 0.1× 26 387

Countries citing papers authored by Maoxiang Chu

Since Specialization
Citations

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

Fields of papers citing papers by Maoxiang Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maoxiang Chu

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

All Works

20 of 20 papers shown
1.
2.
Chu, Maoxiang, et al.. (2024). Global attention module and cascade fusion network for steel surface defect detection. Pattern Recognition. 158. 110979–110979. 18 indexed citations
3.
Liu, Ling, et al.. (2024). Weighted Linear Loss Large Margin Distribution Machine for Pattern Classification. Chinese Journal of Electronics. 33(3). 753–765. 1 indexed citations
4.
Chu, Maoxiang, et al.. (2023). DLF-YOLOF: an improved YOLOF-based surface defect detection for steel plate. Journal of Iron and Steel Research International. 31(2). 442–451. 15 indexed citations
5.
Chu, Maoxiang, et al.. (2021). Stochastic gradient support vector machine with local structural information for pattern recognition. International Journal of Machine Learning and Cybernetics. 12(8). 2237–2254. 4 indexed citations
6.
7.
Chu, Maoxiang, et al.. (2020). A nonparallel support vector machine with pinball loss for pattern classification. Journal of Intelligent & Fuzzy Systems. 39(1). 911–923. 2 indexed citations
8.
Gao, Chuang, et al.. (2020). End-point dynamic control of basic oxygen furnace steelmaking based on improved unconstrained twin support vector regression. Journal of Iron and Steel Research International. 27(1). 42–54. 10 indexed citations
9.
Chu, Maoxiang, et al.. (2020). Twin support vector machine based on adjustable large margin distribution for pattern classification. International Journal of Machine Learning and Cybernetics. 11(10). 2371–2389. 9 indexed citations
10.
Chu, Maoxiang, et al.. (2020). Multi-class classification method for steel surface defects with feature noise. Journal of Iron and Steel Research International. 28(3). 303–315. 4 indexed citations
11.
Chu, Maoxiang, et al.. (2020). Unbalanced classification method using least squares support vector machine with sparse strategy for steel surface defects with label noise. Journal of Iron and Steel Research International. 27(12). 1407–1419. 7 indexed citations
12.
Chu, Maoxiang, Xiaoping Liu, Rongfen Gong, & Jie Zhao. (2019). Support vector machine with quantile hyper-spheres for pattern classification. PLoS ONE. 14(2). e0212361–e0212361. 8 indexed citations
13.
Gong, Rongfen, Chengdong Wu, & Maoxiang Chu. (2018). Multi-class Classification Method Based on Support Vector Machine with Hyper-sphere for Steel surface Defects. 9197–9202. 3 indexed citations
14.
Chu, Maoxiang, et al.. (2018). Twin Support Vector Machine With Local Structural Information for Pattern Classification. IEEE Access. 6. 64237–64249. 3 indexed citations
15.
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Gong, Rongfen, et al.. (2016). Twin pinball loss support vector hyper-sphere classifier for pattern recognition. 6551–6556. 7 indexed citations
17.
Chu, Maoxiang & Rongfen Gong. (2015). Invariant Feature Extraction Method Based on Smoothed Local Binary Pattern for Strip Steel Surface Defect. ISIJ International. 55(9). 1956–1962. 25 indexed citations
18.
Chu, Maoxiang. (2014). Improvement on Least Squares Twin Support Vector Machine for Pattern Classification. Dianzi xuebao. 2 indexed citations
19.
Chu, Maoxiang, Anna Wang, Rongfen Gong, & Mo Sha. (2014). Strip Steel Surface Defect Recognition Based on Novel Feature Extraction and Enhanced Least Squares Twin Support Vector Machine. ISIJ International. 54(7). 1638–1645. 23 indexed citations
20.
Chu, Maoxiang, et al.. (2013). An Image Filtering Algorithm for Removing Mixed Noise. Applied Mechanics and Materials. 433-435. 383–388. 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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