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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:

Position-dependent milling process monitoring and surface roughness prediction for complex thin-walled blade component
Zequan Yao, Jingyuan Shen, Ming Wu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 198, pp. 110439-110439
Closed Access | Times Cited: 20

Showing 20 citing articles:

Residual stress generation in grinding: Mechanism and modeling
Peng Gong, Yanbin Zhang, Chunjin Wang, et al.
Journal of Materials Processing Technology (2023) Vol. 324, pp. 118262-118262
Closed Access | Times Cited: 48
Toward digital twins for high-performance manufacturing: Tool wear monitoring in high-speed milling of thin-walled parts using domain knowledge
Runqiong Wang, Qinghua Song, Yezhen Peng, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 88, pp. 102723-102723
Closed Access | Times Cited: 19
Ensemble learning with support vector machines algorithm for surface roughness prediction in longitudinal vibratory ultrasound-assisted grinding
Mingli Zhao, Boxi Xue, Bohan Li, et al.
Precision Engineering (2024) Vol. 88, pp. 382-400
Closed Access | Times Cited: 11
Analysis of machined surface quality for multi-feature standard parts
Chongjun Wu, Cong Chen, Chen Li, et al.
Journal of Manufacturing Processes (2024) Vol. 115, pp. 452-465
Closed Access | Times Cited: 10
Development of multi-sensor data fusion and in-process expert system for monitoring precision in thin wall lens barrel turning
Ke-Er Tang, Yin-Chung Huang, Chun‐Wei Liu
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111195-111195
Closed Access | Times Cited: 7
Laser-textured cross-hatched surface topography analysis with evaluation of high-frequency measurement noise
Przemysław Podulka, Wojciech Macek, Ricardo Branco, et al.
Measurement (2024) Vol. 235, pp. 114988-114988
Open Access | Times Cited: 5
Causal inference dynamic modeling for real-time surface roughness monitoring in the milling process
Kunhong Chen, Hongguang Liu, Jun Zhang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112551-112551
Closed Access
Cutting force estimation based on machine current data-driven mathematical model
Defeng Peng, Hongkun Li, Yuhang Jiang, et al.
Measurement (2025), pp. 117408-117408
Closed Access
Aero-engine blade error distributions predictions using novel machine learning models
Hua Yang, Haoning Wang, Qian Huang, et al.
International Journal of Mechanical Sciences (2025), pp. 110262-110262
Closed Access
A trochoidal toolpath planning method for 5-axis milling of blisks with equal radial cutting depth
Xing Dai, Qi Qi, Jixiang Yang, et al.
Journal of Manufacturing Processes (2024) Vol. 123, pp. 128-141
Closed Access | Times Cited: 3
Precision enhancement in CNC face milling through vibration-aided AI prediction of surface roughness
R. S. Umamaheswara Raju, Ravi Kumar Kottala, B. Madhava Varma, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024)
Closed Access | Times Cited: 2
Surface roughness prediction based on fusion of dynamic-static data
Jiayi Wang, Xiaodan Wu, Qian Huang, et al.
Measurement (2024), pp. 116351-116351
Closed Access | Times Cited: 2
Integrated optimisation of multi-pass cutting parameters and tool path with hierarchical reinforcement learning towards green manufacturing
Fengyi Lu, Guanghui Zhou, Chao Zhang, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 91, pp. 102824-102824
Open Access | Times Cited: 1
Milling surface roughness monitoring using real-time tool wear data
Runqiong Wang, Qinghua Song, Yezhen Peng, et al.
International Journal of Mechanical Sciences (2024) Vol. 285, pp. 109821-109821
Closed Access | Times Cited: 1
Adaptive Surface Roughness Prediction in Turning Processes with Dynamic Lubrication using Fish Swarm-Intelligent Modified Xgboost Approach
Shweta Loonkar, Adarsha Harinaiha, Priyanka Chandani, et al.
Nanotechnology Perceptions (2024) Vol. 20, Iss. S2
Open Access
Analysis of Face Milling of Hard Steel 55NiCrMoV7 by Studying Rough and Semi-Finished Machining and the Influence of Cutting Parameters on Macroscopic Chip Dimensions
Claudiu Ionuţ Malea, Eduard Niţu, Monica Iordache, et al.
Materials (2024) Vol. 17, Iss. 14, pp. 3434-3434
Open Access
Tool inclination angle designing for low-deformation and high-efficiency machining of thin-wall blade based on edge-workpiece-engagement
Dongju Chen, Shuiyuan Wu, WU Jian-qiang, et al.
Precision Engineering (2024) Vol. 90, pp. 21-37
Closed Access
Non-contact surface roughness evaluation of milled Al and Cu specimens by 1D and 2D wavelet transformation using histogram based linear regression model
J. Mahashar Ali, H. Siddhi Jailani, K. Sivathanigai
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024)
Closed Access
Joint sensitivity analysis method of impeller aerodynamic performance to key geometric errors of five-axis machine tool
Hainan Zhang, Sitong Xiang, Tao Zhou, et al.
Engineering Science and Technology an International Journal (2024) Vol. 57, pp. 101814-101814
Open Access
Classification of drilling surface roughness on computer numerical control (CNC) machine tools based on Mobilenet_v3_small_improved
Gang Chen, Peng Wang, Jiajun Tu, et al.
Mechanical sciences (2024) Vol. 15, Iss. 2, pp. 567-586
Open Access
Dimensional Accuracy After Precision Milling of Magnesium Alloys Using Coated and Uncoated Cutting Tools
Jarosław Korpysa, Witold Habrat
Materials (2024) Vol. 17, Iss. 22, pp. 5578-5578
Open Access
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