Dongsen Ye

1.1k total citations
10 papers, 918 citations indexed

About

Dongsen Ye is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Automotive Engineering. According to data from OpenAlex, Dongsen Ye has authored 10 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanical Engineering, 4 papers in Industrial and Manufacturing Engineering and 2 papers in Automotive Engineering. Recurrent topics in Dongsen Ye's work include Additive Manufacturing Materials and Processes (6 papers), Welding Techniques and Residual Stresses (5 papers) and Industrial Vision Systems and Defect Detection (4 papers). Dongsen Ye is often cited by papers focused on Additive Manufacturing Materials and Processes (6 papers), Welding Techniques and Residual Stresses (5 papers) and Industrial Vision Systems and Defect Detection (4 papers). Dongsen Ye collaborates with scholars based in China and Singapore. Dongsen Ye's co-authors include Geok Soon Hong, Jerry Ying Hsi Fuh, Kunpeng Zhu, Yingjie Zhang, Yingjie Zhang, Yingjie Zhang, Tao Mei, Shaoming Sun, Jian Chen and Minzhou Luo and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics and Materials & Design.

In The Last Decade

Dongsen Ye

10 papers receiving 893 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongsen Ye China 9 800 505 347 102 87 10 918
Aniruddha Gaikwad United States 13 660 0.8× 466 0.9× 295 0.9× 110 1.1× 65 0.7× 17 838
Luke Scime United States 10 1.2k 1.5× 858 1.7× 541 1.6× 155 1.5× 92 1.1× 18 1.4k
Giulio Masinelli Switzerland 13 700 0.9× 283 0.6× 196 0.6× 137 1.3× 119 1.4× 23 826
Stijn Clijsters Belgium 8 957 1.2× 684 1.4× 315 0.9× 130 1.3× 117 1.3× 12 1.1k
Matthieu Rauch France 16 595 0.7× 234 0.5× 322 0.9× 98 1.0× 148 1.7× 46 753
Zeqi Hu China 17 788 1.0× 320 0.6× 119 0.3× 35 0.3× 47 0.5× 40 877
Yichao Dun China 13 700 0.9× 223 0.4× 126 0.4× 127 1.2× 42 0.5× 16 772
Susana Martínez-Pellitero Spain 15 512 0.6× 176 0.3× 150 0.4× 104 1.0× 93 1.1× 45 671
Vigneashwara Pandiyan Switzerland 21 1.0k 1.3× 245 0.5× 267 0.8× 420 4.1× 111 1.3× 36 1.2k
David Brackett United Kingdom 9 357 0.4× 370 0.7× 194 0.6× 72 0.7× 29 0.3× 13 667

Countries citing papers authored by Dongsen Ye

Since Specialization
Citations

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

Fields of papers citing papers by Dongsen Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongsen Ye

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

All Works

10 of 10 papers shown
2.
Zhang, Yingjie, Wentao Yan, Geok Soon Hong, et al.. (2021). Data fusion analysis in the powder-bed fusion AM process monitoring by Dempster-Shafer evidence theory. Rapid Prototyping Journal. 28(5). 841–854. 11 indexed citations
3.
Zhang, Yingjie, Geok Soon Hong, Dongsen Ye, Jerry Ying Hsi Fuh, & Kunpeng Zhu. (2019). Powder-Bed Fusion Process Monitoring by Machine Vision With Hybrid Convolutional Neural Networks. IEEE Transactions on Industrial Informatics. 16(9). 5769–5779. 90 indexed citations
4.
Ye, Dongsen, Jerry Ying Hsi Fuh, Yingjie Zhang, Geok Soon Hong, & Kunpeng Zhu. (2018). In situ monitoring of selective laser melting using plume and spatter signatures by deep belief networks. ISA Transactions. 81. 96–104. 133 indexed citations
5.
Zhang, Yingjie, Jerry Ying Hsi Fuh, Dongsen Ye, & Geok Soon Hong. (2018). In-situ monitoring of laser-based PBF via off-axis vision and image processing approaches. Additive manufacturing. 25. 263–274. 94 indexed citations
6.
Ye, Dongsen, Kunpeng Zhu, Jerry Ying Hsi Fuh, Yingjie Zhang, & Geok Soon Hong. (2018). The investigation of plume and spatter signatures on melted states in selective laser melting. Optics & Laser Technology. 111. 395–406. 62 indexed citations
7.
Zhang, Yingjie, Geok Soon Hong, Dongsen Ye, Kunpeng Zhu, & Jerry Ying Hsi Fuh. (2018). Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring. Materials & Design. 156. 458–469. 253 indexed citations
8.
Ye, Dongsen, Geok Soon Hong, Yingjie Zhang, Kunpeng Zhu, & Jerry Ying Hsi Fuh. (2018). Defect detection in selective laser melting technology by acoustic signals with deep belief networks. The International Journal of Advanced Manufacturing Technology. 96(5-8). 2791–2801. 198 indexed citations
9.
Zhu, Kunpeng, Tao Mei, & Dongsen Ye. (2015). Online condition monitoring in micro-milling: A force waveform shape analysis approach. IEEE Transactions on Industrial Electronics. 1–1. 63 indexed citations
10.
Ye, Dongsen, Shaoming Sun, Jian Chen, & Minzhou Luo. (2014). The lightweight design of the humanoid robot frameworks based on evolutionary structural optimization. 2286–2291. 10 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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