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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:

On-line prediction of ultrasonic elliptical vibration cutting surface roughness of tungsten heavy alloy based on deep learning
Yanan Pan, Renke Kang, Zhigang Dong, et al.
Journal of Intelligent Manufacturing (2020) Vol. 33, Iss. 3, pp. 675-685
Closed Access | Times Cited: 64

Showing 26-50 of 64 citing articles:

Typical applications and perspectives of machine learning for advanced precision machining: A comprehensive review
Yiji Liang, Canwen Dai, Jingwei Wang, et al.
Expert Systems with Applications (2025), pp. 127770-127770
Closed Access
Development of ultrasonic elliptical vibration cutting and its application
Zi-Heng Ling, Dazhong Wang, Shujing Wu, et al.
Archives of Civil and Mechanical Engineering (2025) Vol. 25, Iss. 3
Closed Access
Deep-learning-assisted online surface roughness monitoring in ultraprecision fly cutting
Adeel Shehzad, Xiaoting Rui, Yuanyuan Ding, et al.
Science China Technological Sciences (2024) Vol. 67, Iss. 5, pp. 1482-1497
Closed Access | Times Cited: 3
Experimental and simulation investigation of ultrasonic elliptical vibration cutting of tungsten alloys in ultra-precision machining
Sen Yin, Wai Sze Yip, Zhigang Dong, et al.
Journal of Materials Research and Technology (2024)
Open Access | Times Cited: 3
Comparative Study of Popular Deep Learning Models for Machining Roughness Classification Using Sound and Force Signals
Binayak Bhandari
Micromachines (2021) Vol. 12, Iss. 12, pp. 1484-1484
Open Access | Times Cited: 22
Effects of Cutting Force on Formation of Subsurface Damage During Nano-Cutting of Single-Crystal Tungsten
Hao Wang, Xiaoguang Guo, Zhigang Dong, et al.
Journal of Manufacturing Science and Engineering (2022) Vol. 144, Iss. 11
Closed Access | Times Cited: 15
State identification of a 5-axis ultra-precision CNC machine tool using energy consumption data assisted by multi-output densely connected 1D-CNN model
Zhicheng Xu, Vignesh Selvaraj, Sangkee Min
Journal of Intelligent Manufacturing (2022) Vol. 35, Iss. 1, pp. 147-160
Closed Access | Times Cited: 15
Milling surface roughness prediction method based on spatiotemporal ensemble learning
Shi Zeng, Dechang Pi, Tao Xu
The International Journal of Advanced Manufacturing Technology (2023) Vol. 128, Iss. 1-2, pp. 91-119
Closed Access | Times Cited: 8
Theoretical and numerical studies of surface microstructural transformation in ultrasonic elliptical vibration cutting tungsten heavy alloys
Yanan Pan, Jinxuan Bai, Zhiwei Xu
The International Journal of Advanced Manufacturing Technology (2022) Vol. 123, Iss. 11-12, pp. 3943-3953
Closed Access | Times Cited: 13
A Novel Data Augmentation Method Based on CoralGAN for Prediction of Part Surface Roughness
Yongqing Wang, Mengmeng Niu, Kuo Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 10, pp. 7024-7033
Closed Access | Times Cited: 12
Design of ultrasonic elliptical vibration cutting system for tungsten heavy alloy
Sen Yin, Yan Bao, Yanan Pan, et al.
Frontiers of Mechanical Engineering (2022) Vol. 17, Iss. 4
Closed Access | Times Cited: 12
Interpolation-based virtual sample generation for surface roughness prediction
Wenwen Tian, Jiong Zhang, Fei Zhao, et al.
Journal of Intelligent Manufacturing (2022) Vol. 35, Iss. 1, pp. 343-353
Closed Access | Times Cited: 11
Cutting Chatter in Ultrasonic Elliptical Vibration Cutting and Its Influence on Surface Roughness and Tool Wear
G. Li, Jinbo Liu, Yanan Pan, et al.
Metals (2023) Vol. 13, Iss. 6, pp. 1078-1078
Open Access | Times Cited: 6
Structural transition and ductility enhancement of a tungsten heavy alloy under high pressure
Linmao Qian, Zhuoyuan Liu, Shixue Guan, et al.
International Journal of Refractory Metals and Hard Materials (2021) Vol. 100, pp. 105632-105632
Closed Access | Times Cited: 15
Modelling of surface roughness in elliptical vibration cutting of ductile materials
Zhenhua Jiao, Renke Kang, Jianguo Zhang, et al.
Precision Engineering (2022) Vol. 78, pp. 19-39
Closed Access | Times Cited: 10
Processability improvement of laser-assisted micro-machining 95W-3.5Ni-1.5Fe alloy based on surface and subsurface characteristics
Zhiwei Xu, Jinxuan Bai, Linmao Qian
Materials & Design (2022) Vol. 224, pp. 111267-111267
Closed Access | Times Cited: 9
Tool–workpiece separation characteristic and surface generation in ultrasonic assisted milling
Shaoqing Qin, Lida Zhu, Degang Qin, et al.
Mechanics Based Design of Structures and Machines (2023) Vol. 52, Iss. 6, pp. 3182-3209
Closed Access | Times Cited: 5
Prediction and optimization of surface roughness in high-speed dry milling of 30CrMnSiNiA using GPR and MOHHO algorithm
Lei Song, Chunping Yan, Gan Tu, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 128, Iss. 9-10, pp. 4357-4377
Closed Access | Times Cited: 5
Experimental Study on Laser Ablation Texture-Assisted Grinding of Tungsten Alloy
Bing Chen, Ye Guo, S. Li, et al.
Materials (2022) Vol. 15, Iss. 19, pp. 7028-7028
Open Access | Times Cited: 8
On-line surface roughness classification for multiple CNC milling conditions based on transfer learning and neural network
Congying Deng, Bo Ye, Sheng Lu, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 128, Iss. 3-4, pp. 1063-1076
Open Access | Times Cited: 4
Modelling of kerf width and surface roughness using vibration signals in laser beam machining of stainless steel using design of experiments
K. Venkata Rao, L. Suvarna Raju, Gamini Suresh, et al.
Optics & Laser Technology (2023) Vol. 169, pp. 110146-110146
Closed Access | Times Cited: 4
Surface microstructural alterations and grain refinement mechanisms of tungsten heavy alloys by thermo-mechanical coupling: A laser-assisted milling case
Zhiwei Xu, Jinxuan Bai, Linmao Qian
Journal of Manufacturing Processes (2023) Vol. 108, pp. 359-372
Closed Access | Times Cited: 4
Charpy Impact Test in 3D-FDM and Optimization with Artificial Intelligence
Mehmet Altuğ
Gazi Journal of Engineering Sciences (2024) Vol. 10, Iss. 1, pp. 12-26
Open Access | Times Cited: 1
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: 1
Comparative studies of the constitutive models for tungsten heavy alloy (95W-3.5Ni-1.5Fe) at high strain rates
Xiuwen Lai, Zhanjiang Wang, Na Qin
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2021) Vol. 236, Iss. 7, pp. 3636-3650
Closed Access | Times Cited: 7

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