Runquan Xiao

765 total citations
29 papers, 502 citations indexed

About

Runquan Xiao is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Aerospace Engineering. According to data from OpenAlex, Runquan Xiao has authored 29 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Mechanical Engineering, 9 papers in Industrial and Manufacturing Engineering and 6 papers in Aerospace Engineering. Recurrent topics in Runquan Xiao's work include Welding Techniques and Residual Stresses (27 papers), Non-Destructive Testing Techniques (8 papers) and Industrial Vision Systems and Defect Detection (7 papers). Runquan Xiao is often cited by papers focused on Welding Techniques and Residual Stresses (27 papers), Non-Destructive Testing Techniques (8 papers) and Industrial Vision Systems and Defect Detection (7 papers). Runquan Xiao collaborates with scholars based in China and Singapore. Runquan Xiao's co-authors include Shanben Chen, Zhen Hou, Yanling Xu, Chao Chen, Na Lv, Fengjing Xu, Huajun Zhang, Huabin Chen, Qiang Liu and Shanben Chen and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics and Mechanical Systems and Signal Processing.

In The Last Decade

Runquan Xiao

26 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Runquan Xiao China 14 390 173 128 81 57 29 502
Jiyong Zhong China 12 494 1.3× 161 0.9× 73 0.6× 99 1.2× 69 1.2× 14 552
Huanwei Yu China 10 303 0.8× 102 0.6× 47 0.4× 80 1.0× 41 0.7× 19 357
Anna‐Karin Christiansson Sweden 13 583 1.5× 138 0.8× 44 0.3× 84 1.0× 58 1.0× 46 729
Nirbhar Neogi India 7 155 0.4× 281 1.6× 142 1.1× 51 0.6× 47 0.8× 11 409
Qinghua Lu China 11 194 0.5× 76 0.4× 43 0.3× 27 0.3× 63 1.1× 40 391
Fredrik Sikström Sweden 13 339 0.9× 67 0.4× 33 0.3× 90 1.1× 30 0.5× 48 463
Shuanggao Li China 13 165 0.4× 171 1.0× 120 0.9× 12 0.1× 25 0.4× 53 382
Morten Kristiansen Denmark 11 245 0.6× 106 0.6× 55 0.4× 22 0.3× 28 0.5× 51 438

Countries citing papers authored by Runquan Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Runquan Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runquan Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Runquan Xiao. A scholar is included among the top collaborators of Runquan Xiao 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 Runquan Xiao. Runquan Xiao 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.
Liu, Qiang, et al.. (2025). A multi-spectral channel attention mechanism for prediction of welding state during pulsed GTAW. Journal of Manufacturing Processes. 134. 1021–1033. 2 indexed citations
3.
Xu, Luming, Runquan Xiao, & Huabin Chen. (2025). A novel few-shot learning based feature relation model for robotic welding states monitoring. Journal of Manufacturing Processes. 138. 203–213. 2 indexed citations
4.
Liu, Kai, Zhongxi Sheng, Wei Zhang, et al.. (2025). A novel robotic multi-layer multi-pass welding adaptive path generation method based on point cloud slicing and Transformer for saddle-shaped weld seams. Journal of Manufacturing Processes. 141. 1578–1594. 2 indexed citations
5.
Lu, Yang, Zhongxi Sheng, Wei Zhang, et al.. (2025). A Novel Point Cloud-Driven Framework for Enhanced Multi-Views Model Reconstruction and Robotic Arc Welding Trajectory Generation. Robotics and Computer-Integrated Manufacturing. 95. 103022–103022.
6.
7.
Wang, Qingzhao, et al.. (2024). Robotic MAG welding defects and quality assessment with a defect threshold decision model-driven method. Mechanical Systems and Signal Processing. 224. 112056–112056. 4 indexed citations
8.
Xiao, Runquan, Qixin Cao, & Shanben Chen. (2024). A novel laser stripe key point tracker based on self-supervised learning and improved KCF for robotic welding seam tracking. Journal of Manufacturing Processes. 127. 660–670. 2 indexed citations
9.
10.
Xu, Fengjing, et al.. (2024). An automatic feature point extraction method based on laser vision for robotic multi-layer multi-pass weld seam tracking. The International Journal of Advanced Manufacturing Technology. 131(12). 5941–5960. 6 indexed citations
11.
Liu, Qiang, et al.. (2024). Review on the Application of the Attention Mechanism in Sensing Information Processing for Dynamic Welding Processes. Journal of Manufacturing and Materials Processing. 8(1). 22–22. 6 indexed citations
12.
Liu, Qiang, et al.. (2024). A defect classification algorithm for gas tungsten arc welding process based on unsupervised learning and few-shot learning strategy. Journal of Manufacturing Processes. 131. 1219–1229. 5 indexed citations
13.
Lv, Na, et al.. (2023). Recognition of penetration states based on arc sound of interest using VGG-SE network during pulsed GTAW process. Journal of Manufacturing Processes. 87. 81–96. 25 indexed citations
14.
Liu, Qiang, et al.. (2023). Review on multi-information acquisition, defect prediction and quality control of aluminum alloy GTAW process. Journal of Manufacturing Processes. 108. 624–638. 19 indexed citations
15.
Xu, Fengjing, Zhen Hou, Runquan Xiao, et al.. (2023). A novel welding path generation method for robotic multi-layer multi-pass welding based on weld seam feature point. Measurement. 216. 112910–112910. 26 indexed citations
16.
Xiao, Runquan, Yanling Xu, Zhen Hou, et al.. (2022). A novel visual guidance framework for robotic welding based on binocular cooperation. Robotics and Computer-Integrated Manufacturing. 78. 102393–102393. 24 indexed citations
17.
Xiao, Runquan, et al.. (2021). Prediction of penetration based on infrared thermal and visual images during pulsed GTAW process. Journal of Manufacturing Processes. 69. 261–272. 22 indexed citations
18.
Xiao, Runquan, Yanling Xu, Zhen Hou, Chao Chen, & Shanben Chen. (2021). An automatic calibration algorithm for laser vision sensor in robotic autonomous welding system. Journal of Intelligent Manufacturing. 33(5). 1419–1432. 21 indexed citations
19.
Chen, Chao, Runquan Xiao, Huabin Chen, Na Lv, & Shanben Chen. (2020). Arc sound model for pulsed GTAW and recognition of different penetration states. The International Journal of Advanced Manufacturing Technology. 108(9-10). 3175–3191. 24 indexed citations
20.
Xiao, Runquan, Yanling Xu, Zhen Hou, Chao Chen, & Shanben Chen. (2019). An adaptive feature extraction algorithm for multiple typical seam tracking based on vision sensor in robotic arc welding. Sensors and Actuators A Physical. 297. 111533–111533. 125 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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