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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:

Prediction of surface roughness using fuzzy broad learning system based on feature selection
Wenwen Tian, Fei Zhao, Zheng Sun, et al.
Journal of Manufacturing Systems (2022) Vol. 64, pp. 508-517
Closed Access | Times Cited: 18

Showing 18 citing articles:

A review of artificial intelligent methods for machined surface roughness prediction
Huguang Yang, Han Zheng, Taohong Zhang
Tribology International (2024) Vol. 199, pp. 109935-109935
Closed Access | Times Cited: 11
Deep learning based multi-source heterogeneous information fusion framework for online monitoring of surface quality in milling process
Xiaofeng Wang, Jihong Yan
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108043-108043
Closed Access | Times Cited: 8
Prediction and evaluation of surface roughness with hybrid kernel extreme learning machine and monitored tool wear
Minghui Cheng, Li Jiao, Pei Yan, et al.
Journal of Manufacturing Processes (2022) Vol. 84, pp. 1541-1556
Closed Access | Times Cited: 32
Surface roughness prediction in ball screw whirlwind milling considering elastic-plastic deformation caused by cutting force: Modelling and verification
Chao Liu, Zunpeng Huang, Shaofu Huang, et al.
Measurement (2023) Vol. 220, pp. 113365-113365
Closed Access | Times Cited: 19
A hybrid PV cluster power prediction model using BLS with GMCC and error correction via RVM considering an improved statistical upscaling technique
Lihong Qiu, Wentao Ma, Xiaoyang Feng, et al.
Applied Energy (2024) Vol. 359, pp. 122719-122719
Closed Access | Times Cited: 5
Surface profile estimation in milling through vibration analysis and long short-term memory networks
Tian-Yau Wu, Cheng‐Yi Lin
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
GFBLS: Graph-regularized fuzzy broad learning system for detection of interictal epileptic discharges
Zixuan Huang, Junwei Duan
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106763-106763
Closed Access | Times Cited: 9
Surface roughness prediction in turning processes using CEEMD-based vibration signal denoising and LSTM networks
A. Andrews, Manisekar Kondal
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2024)
Closed Access | Times Cited: 2
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
Multi-algorithm fusion–based intelligent decision-making method for robotic belt grinding process parameters
Yingjian Xiang, Xiaohui Lu, Deling Cai, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 11-12, pp. 6053-6068
Closed 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
Comprehensive Evaluation of Marine Ship Fires Risk Based on Fuzzy Broad Learning System
Chuang Zhang, Xiaofan Zhang, Songtao Liu, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 7, pp. 1276-1276
Open Access | Times Cited: 3
A data-driven method for prediction of surface roughness with consideration of milling tool wear
Zhao Zhang, Long Jia, Ming Luo, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 134, Iss. 9-10, pp. 4271-4282
Closed 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
Surface profile estimation in milling through vibration analysis and long short-term memory networks
Tian-Yau Wu, Cheng‐Yi Lin
Research Square (Research Square) (2024)
Open Access
Machine learning-enabled early prediction of dimensional accuracy for complex products of investment casting
Rui-zhe Dong, Wenhu Wang, Yuanbin Wang, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Optimization with artificial intelligence of the machinability of Hardox steel, which is exposed to different processes
Mehmet Altuğ, Hasan Söyler
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 1
Optimization with artificial intelligence of the machinability of Hardox steel, which is exposed to different processes
Mehmet Altuğ, Hasan Söyler
Research Square (Research Square) (2023)
Open Access
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