OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Recent progress of sensing and machine learning technologies for process monitoring and defects detection in wire arc additive manufacturing
Yibo Guo, Yuming Zhang, Zengxi Pan, et al.
Journal of Manufacturing Processes (2024) Vol. 125, pp. 489-511
Closed Access | Times Cited: 12

Showing 12 citing articles:

Additive Manufacturing Modification by Artificial Intelligence, Machine Learning, and Deep Learning: A Review
Mohsen Soori, Fooad Karımı Ghaleh Jough, Roza Dastres, et al.
Deleted Journal (2025), pp. 200198-200198
Open Access | Times Cited: 3

Performance evaluation of machine learning techniques in surface roughness prediction for 3D printed micro-lattice structures
B. Veera Siva Reddy, Ameer Malik Shaik, C. Chandrasekhara Sastry, et al.
Journal of Manufacturing Processes (2025) Vol. 137, pp. 320-341
Closed Access | Times Cited: 2

From AFCC to AFCCX: Structural optimization boosting compressive strength of electron beam melted Ti-6Al-4V lattice structures
Zi-Han Ge, Liang‐Yu Chen, Yifan Zhang, et al.
Journal of Manufacturing Processes (2024) Vol. 133, pp. 271-284
Closed Access | Times Cited: 4

In situ tailoring microstructure of martensitic stainless steel during wire-arc directed energy deposition via intrinsic heat treatment
Zhiwei Lyu, Su Li, Yutaka S. Sato, et al.
Journal of Manufacturing Processes (2025) Vol. 141, pp. 282-295
Closed Access

Machine learning approaches for real-time process anomaly detection in wire arc additive manufacturing
Giulio Mattera, Luigi Nele
The International Journal of Advanced Manufacturing Technology (2025)
Open Access

Application of intelligent machine recognition technology in rapid detection of welding defects
Fei Yu
International Journal of Intelligent Robotics and Applications (2025)
Closed Access

Fundamental research on fatigue-resistant and low-stress welding repair technology through arc composite laser shock forging
Chao Dai, Cailiang Zhang, Yuanqing Chi, et al.
Journal of Manufacturing Processes (2025) Vol. 143, pp. 399-410
Closed Access

A denoising and restoration method of weld laser stripe image for robotic multi-layer multi-pass welding based on generative adversarial networks
Hui Xu, Yingjie Guo, Huiyue Dong, et al.
Journal of Manufacturing Processes (2024) Vol. 133, pp. 1183-1195
Closed Access | Times Cited: 2

Investigation of Arc Stability in Wire Arc Additive Manufacturing of 2319 Aluminum Alloy
Qiyu Gao, Feiyue Lyu, Leilei Wang, et al.
Materials (2024) Vol. 17, Iss. 21, pp. 5160-5160
Open Access | Times Cited: 2

Model decomposition method for minimizing the consumption of support structure for FFF
Wei Wei, Haixin Wu, Jiangzhao Zhang, et al.
Journal of Manufacturing Processes (2024) Vol. 133, pp. 395-407
Closed Access

High-speed and high-fidelity prediction of residual stress field distribution in micro-forging using a physical-translated cGAN
Bin Shen, Siyu Jin, Changshuo Wang, et al.
Journal of Manufacturing Processes (2024) Vol. 134, pp. 221-234
Closed Access

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