Shanben Chen

1.0k total citations · 1 hit paper
28 papers, 751 citations indexed

About

Shanben Chen is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Control and Systems Engineering. According to data from OpenAlex, Shanben Chen has authored 28 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Mechanical Engineering, 15 papers in Industrial and Manufacturing Engineering and 8 papers in Control and Systems Engineering. Recurrent topics in Shanben Chen's work include Welding Techniques and Residual Stresses (19 papers), Industrial Vision Systems and Defect Detection (8 papers) and Manufacturing Process and Optimization (7 papers). Shanben Chen is often cited by papers focused on Welding Techniques and Residual Stresses (19 papers), Industrial Vision Systems and Defect Detection (8 papers) and Manufacturing Process and Optimization (7 papers). Shanben Chen collaborates with scholars based in China, United States and Australia. Shanben Chen's co-authors include Tao Lin, Joseph Polden, Chunyang Xia, Huijun Li, Zengxi Pan, Hongbo Ma, Zhen Ye, Yanling Xu, Ju Jia Zou and Gu Fang and has published in prestigious journals such as The International Journal of Advanced Manufacturing Technology, Engineering Applications of Artificial Intelligence and IEEE Transactions on Automation Science and Engineering.

In The Last Decade

Shanben Chen

28 papers receiving 731 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Modelling and prediction of surface roughness in wire arc additive manufacturing using machine learning

2021 182 citations Chunyang Xia, Zengxi Pan et al. Journal of Intelligent Manufacturing profile →

Peers

Shanben Chen

ME

IME

CVPR

AE

CSE

Zhen Hou China

Igor Fernández de Bustos Spain

Gun-Hee Kim South Korea

Anna‐Karin Christiansson Sweden

Jan Petrich United States

A. Donmez United States

YuKang Liu United States

Yinshui He China

Xiang Huang China

Jiyong Zhong China

Zhen Hou China

Shanben Chen

418 ×0.7

ME

228 ×0.8

IME

159 ×1.0

CVPR

93 ×0.7

AE

55 ×0.5

CSE

Citations per year, relative to Shanben Chen Shanben Chen (= 1×) peers Zhen Hou

Countries citing papers authored by Shanben Chen

Since Specialization

Citations

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

Fields of papers citing papers by Shanben Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanben Chen

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

All Works

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20 of 20 papers shown

1.

Xia, Chunyang, et al.. (2021). Modelling and prediction of surface roughness in wire arc additive manufacturing using machine learning. Journal of Intelligent Manufacturing. 33(5). 1467–1482. 182 indexed citations breakdown →

2.

Chen, Shanben, Yuming Zhang, & Zhili Feng. (2020). Transactions on Intelligent Welding Manufacturing. 2 indexed citations

3.

Chen, Shanben, Yuming Zhang, & Zhili Feng. (2019). Transactions on Intelligent Welding Manufacturing. 4 indexed citations

4.

Chen, Shanben, Yuming Zhang, & Zhili Feng. (2019). Transactions on Intelligent Welding Manufacturing. 3 indexed citations

5.

Chen, Shanben, Yuming Zhang, & Zhili Feng. (2019). Transactions on Intelligent Welding Manufacturing. 8 indexed citations

6.

Feng, Zhi‐Qiang, et al.. (2018). On Rough Set-Based Modeling and with Application to Process Decision for Forming Plate by Line Heating. Journal of Ship Production and Design. 35(3). 289–296. 1 indexed citations

7.

Chen, Shanben, Yuming Zhang, & Zhili Feng. (2017). Transactions on Intelligent Welding Manufacturing. 9 indexed citations

8.

Xu, Yanling, Na Lv, Han Yu, & Shanben Chen. (2016). Research on the key technology of vision sensor in robotic welding. 121–125. 8 indexed citations

9.

Yang, Chengdong, Zhen Ye, Yuxi Chen, Jiyong Zhong, & Shanben Chen. (2014). Multi-pass path planning for thick plate by DSAW based on vision sensor. Sensor Review. 34(4). 416–423. 19 indexed citations

10.

Chen, Shanben, et al.. (2014). Optimal posture searching algorithm on mobile welding robot. Journal of Shanghai Jiaotong University (Science). 19(1). 84–87. 4 indexed citations

11.

Zhang, Tao, Shanben Chen, Minghui Wu, Yanzheng Zhao, & Xiaoqi Chen. (2013). Optimal Motion Planning of All Position Autonomous Mobile Welding Robot System for Fillet Seams. IEEE Transactions on Automation Science and Engineering. 10(4). 1147–1151. 18 indexed citations

12.

Wu, Minghui, et al.. (2013). Design and Optimal Research of a Non-Contact Adjustable Magnetic Adhesion Mechanism for a Wall-Climbing Welding Robot. International Journal of Advanced Robotic Systems. 10(1). 35 indexed citations

13.

Chen, Xizhang, Yu‐ming M. Huang, & Shanben Chen. (2012). Model analysis and experimental technique on computing accuracy of seam spatial position information based on stereo vision for welding robot. Industrial Robot the international journal of robotics research and application. 39(4). 349–356. 26 indexed citations

14.

Wu, Minghui, et al.. (2011). New mechanism to pass obstacles for magnetic climbing robots with high payload, using only one motor for force‐changing and wheel‐lifting. Industrial Robot the international journal of robotics research and application. 38(4). 372–380. 15 indexed citations

15.

Ma, Hongbo, et al.. (2010). Autonomous guidance of initial welding position with “single camera and double positions” method. Sensor Review. 30(1). 62–68. 27 indexed citations

16.

Shi, Fanhuai, Tao Lin, & Shanben Chen. (2009). Efficient weld seam detection for robotic welding based on local image processing. Industrial Robot the international journal of robotics research and application. 36(3). 277–283. 31 indexed citations

17.

Chen, Huabin, et al.. (2009). Closed-Loop Control of Robotic Arc Welding System with Full-penetration Monitoring. Journal of Intelligent & Robotic Systems. 56(5). 565–578. 35 indexed citations

18.

Shi, Fanhuai, et al.. (2009). SVM-based fuzzy rules acquisition system for pulsed GTAW process. Engineering Applications of Artificial Intelligence. 22(8). 1245–1255. 9 indexed citations

19.

Wu, Jing, et al.. (2007). Arc welding robot system with seam tracking and weld pool control based on passive vision. The International Journal of Advanced Manufacturing Technology. 39(7-8). 669–678. 61 indexed citations

20.

Chen, Xizhang, Shanben Chen, Tao Lin, & Yucheng Lei. (2005). Practical method to locate the initial weld position using visual technology. The International Journal of Advanced Manufacturing Technology. 30(7-8). 663–668. 31 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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