Deyong You

2.4k total citations
55 papers, 2.0k citations indexed

About

Deyong You is a scholar working on Mechanical Engineering, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, Deyong You has authored 55 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Mechanical Engineering, 23 papers in Mechanics of Materials and 18 papers in Computational Mechanics. Recurrent topics in Deyong You's work include Welding Techniques and Residual Stresses (52 papers), Thermography and Photoacoustic Techniques (19 papers) and Non-Destructive Testing Techniques (18 papers). Deyong You is often cited by papers focused on Welding Techniques and Residual Stresses (52 papers), Thermography and Photoacoustic Techniques (19 papers) and Non-Destructive Testing Techniques (18 papers). Deyong You collaborates with scholars based in China, Japan and Sweden. Deyong You's co-authors include Xiangdong Gao, Seiji Katayama, Yanxi Zhang, Nanfeng Zhang, S. Katayama, Perry P. Gao, Xiaohong Chen, Lin Wang, Xungao Zhong and Yonghua Liu and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Journal of Materials Processing Technology.

In The Last Decade

Deyong You

54 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deyong You China 24 1.6k 518 501 345 195 55 2.0k
Shanben Chen China 30 2.2k 1.4× 451 0.9× 737 1.5× 193 0.6× 267 1.4× 84 2.6k
Longchao Cao China 25 1.4k 0.9× 247 0.5× 384 0.8× 194 0.6× 154 0.8× 73 1.9k
Jian-wei Ma China 21 1.1k 0.7× 151 0.3× 302 0.6× 531 1.5× 334 1.7× 117 1.5k
Shanben Chen China 21 1.4k 0.9× 303 0.6× 442 0.9× 80 0.2× 120 0.6× 36 1.6k
Sehun Rhee South Korea 25 1.3k 0.8× 264 0.5× 211 0.4× 160 0.5× 196 1.0× 110 1.6k
Satoshi KITAYAMA Japan 22 892 0.6× 322 0.6× 420 0.8× 192 0.6× 75 0.4× 112 1.4k
Yiming Huang China 24 1.2k 0.8× 407 0.8× 186 0.4× 96 0.3× 97 0.5× 79 1.5k
Hai Li China 22 708 0.4× 304 0.6× 166 0.3× 146 0.4× 236 1.2× 100 1.7k
Elijah Kannatey‐Asibu United States 22 1.5k 1.0× 398 0.8× 236 0.5× 339 1.0× 504 2.6× 69 1.9k
Hu Shi China 23 1.2k 0.7× 203 0.4× 136 0.3× 328 1.0× 291 1.5× 68 1.7k

Countries citing papers authored by Deyong You

Since Specialization
Citations

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

Fields of papers citing papers by Deyong You

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deyong You

This figure shows the co-authorship network connecting the top 25 collaborators of Deyong You. A scholar is included among the top collaborators of Deyong You 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 Deyong You. Deyong You 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.
Li, Zheng, Hao Li, Jie Yin, et al.. (2022). A Review of Spatter in Laser Powder Bed Fusion Additive Manufacturing: In Situ Detection, Generation, Effects, and Countermeasures. Micromachines. 13(8). 1366–1366. 97 indexed citations
2.
Zhang, Yanxi, et al.. (2022). Online judgment of laser welding process based on time-frequency analyses of in-situ high-speed optical signals. Optik. 265. 169552–169552. 9 indexed citations
3.
Ma, Bo, et al.. (2021). Effect of current stability on surface formation of GMAW-based multi-layer single-pass additive deposition. Journal of Mechanical Science and Technology. 35(6). 2449–2458.
4.
Gao, Xiangdong, et al.. (2020). Skin depth and detection ability of magneto-optical imaging for weld defects in alternating magnetic field. Journal of Manufacturing Systems. 55. 44–55. 10 indexed citations
5.
Li, Yanfeng, et al.. (2020). Modeling for Tracking Micro Gap Weld Based on Magneto-Optical Sensing and Kalman Filtering. IEEE Sensors Journal. 21(10). 11598–11614. 12 indexed citations
6.
Zhang, Yanxi, Nanfeng Zhang, Deyong You, Xiangdong Gao, & Seiji Katayama. (2019). High-power disk laser welding statuses monitoring based on analyses of multiple-sensor signals. Journal of Manufacturing Processes. 41. 221–230. 22 indexed citations
7.
Gao, Xiangdong, Lin Wang, Deyong You, Ziqin Chen, & Perry P. Gao. (2019). Synchronized Monitoring of Droplet Transition and Keyhole Bottom in High Power Laser-MAG Hybrid Welding Process. IEEE Sensors Journal. 19(9). 3553–3563. 18 indexed citations
8.
Li, Yanfeng, et al.. (2019). Detection model of invisible weld defects by magneto-optical imaging at rotating magnetic field directions. Optics & Laser Technology. 121. 105772–105772. 19 indexed citations
9.
Zhang, Yanxi, Deyong You, Xiangdong Gao, Nanfeng Zhang, & Perry P. Gao. (2019). Welding defects detection based on deep learning with multiple optical sensors during disk laser welding of thick plates. Journal of Manufacturing Systems. 51. 87–94. 132 indexed citations
10.
Gao, Xiangdong, et al.. (2019). Detection of weld imperfection in high-power disk laser welding based on association analysis of multi-sensing features. Optics & Laser Technology. 115. 306–315. 16 indexed citations
11.
Gao, Xiangdong, Zhengwen Li, Deyong You, & Seiji Katayama. (2017). Novel inspection of welded joint microstructure using magneto-optical imaging technology. Chinese Physics B. 26(5). 54214–54214. 1 indexed citations
12.
13.
Gao, Xiangdong, et al.. (2015). Multi-sensor information fusion for monitoring disk laser welding. The International Journal of Advanced Manufacturing Technology. 85(5-8). 1167–1175. 29 indexed citations
14.
You, Deyong, Xiangdong Gao, & Seiji Katayama. (2014). Multisensor Fusion System for Monitoring High-Power Disk Laser Welding Using Support Vector Machine. IEEE Transactions on Industrial Informatics. 10(2). 1285–1295. 95 indexed citations
15.
You, Deyong, Xiangdong Gao, & Seiji Katayama. (2013). Multiple-optics sensing of high-brightness disk laser welding process. NDT & E International. 60. 32–39. 46 indexed citations
16.
You, Deyong, Xiangdong Gao, & S. Katayama. (2013). Review of laser welding monitoring. Science and Technology of Welding & Joining. 19(3). 181–201. 190 indexed citations
17.
You, Deyong, Xiangdong Gao, & Seiji Katayama. (2013). Visual-based spatter detection during high-power disk laser welding. Optics and Lasers in Engineering. 54. 1–7. 48 indexed citations
18.
Gao, Xiangdong, et al.. (2012). Investigation of Laser Welding Seam Tracking Based on Visual Sensing. 1 indexed citations
19.
You, Deyong, et al.. (2011). Application of Kalman filter with colored noises to the experiment of seam tracking. 28(7). 931–935. 1 indexed citations
20.
You, Deyong, et al.. (2011). Detection of seam tracking offset based on infrared image during high-power fiber laser welding. Acta Physica Sinica. 60(8). 88105–88105. 6 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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