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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:

A deep learning-based approach for machining process route generation
Yajun Zhang, Shusheng Zhang, Rui Huang, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 115, Iss. 11-12, pp. 3493-3511
Closed Access | Times Cited: 19

Showing 19 citing articles:

Real-time 3D video-based MR remote collaboration using gesture cues and virtual replicas
Xiangyu Zhang, Xiaoliang Bai, Shusheng Zhang, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 121, Iss. 11-12, pp. 7697-7719
Closed Access | Times Cited: 30
Combining deep learning with knowledge graph for macro process planning
Yajun Zhang, Shusheng Zhang, Rui Huang, et al.
Computers in Industry (2022) Vol. 140, pp. 103668-103668
Closed Access | Times Cited: 26
mKGMPP: A multi-layer knowledge graph integration framework and its inference method for manufacturing process planning
Zechuan Huang, Xin Guo, Chong Jiang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103266-103266
Closed Access
A novel method based on deep reinforcement learning for machining process route planning
Hang Zhang, Wenhu Wang, Shusheng Zhang, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 86, pp. 102688-102688
Closed Access | Times Cited: 12
A novel method based on a convolutional graph neural network for manufacturing cost estimation
Hang Zhang, Wenhu Wang, Shusheng Zhang, et al.
Journal of Manufacturing Systems (2022) Vol. 65, pp. 837-852
Closed Access | Times Cited: 17
Machining feature process route planning based on a graph convolutional neural network
Zhen Wang, Shusheng Zhang, Hang Zhang, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102249-102249
Closed Access | Times Cited: 10
A Review and Prospects of Manufacturing Process Knowledge Acquisition, Representation, and Application
Zhongyi Wu, Cheng Liang
Machines (2024) Vol. 12, Iss. 6, pp. 416-416
Open Access | Times Cited: 3
Deep transformer networks for precise pothole segmentation tasks
Iason Katsamenis, Athanasios Sakelliou, Nikolaos Bakalos, et al.
(2023), pp. 596-602
Open Access | Times Cited: 8
An effective NC machining process planning method via integrating grammar knowledge with deep learning
Huang Rui, Fang Zhou, Bo Huang, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123872-123872
Closed Access | Times Cited: 2
A Semi-Supervised Learning Framework for Machining Feature Recognition on Small Labeled Sample
Hongjin Wu, Ruoshan Lei, Pei Huang, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3181-3181
Open Access | Times Cited: 6
Data-Driven and Knowledge-Guided Approach for NC Machining Process Planning
ZeFan Han, Rui Huang, Bo Huang, et al.
Computer-Aided Design (2023) Vol. 162, pp. 103562-103562
Closed Access | Times Cited: 5
An effective process design intent inference method of process data via integrating deep learning and grammar parsing
Rui Huang, Zefan Han, Mingtao Fei, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102174-102174
Closed Access | Times Cited: 4
A Knowledge-Guided Process Planning Approach with Reinforcement Learning
Lijun Zhang, Hongjin Wu, Chen Ye-lin, et al.
Research Square (Research Square) (2024)
Open Access
A Deep Learning Framework for Segmentation of Road Defects Using ResUNet-a
Iason Katsamenis, George Kopsiaftis, Athanasios Voulodimos, et al.
(2024), pp. 449-455
Open Access
Employing deep reinforcement learning for machining process planning: An improved framework
Hang Zhang, Wenhu Wang, Yue Wang, et al.
Journal of Manufacturing Systems (2024) Vol. 78, pp. 370-393
Closed Access
Combining Active Learning and Self-Paced Learning for Cost-Effective Process Design Intents Extraction of Process Data
Rui Huang, Shuyi Zhu, Bo Huang
Journal of Computational Design and Engineering (2024) Vol. 11, Iss. 2, pp. 161-175
Open Access
A method for detecting process design intent in the process route based on heterogeneous graph convolutional networks
Jiachen Liang, Shusheng Zhang, Changhong Xu, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 92, pp. 102872-102872
Closed Access
A knowledge-guided process planning approach with reinforcement learning
Lijun Zhang, Hongjin Wu, Chen Ye-lin, et al.
Journal of Engineering Design (2024), pp. 1-24
Open Access
Smart Patrolling Based on Spatial-Temporal Information Using Machine Learning
César Guevara, Matilde Santos
Mathematics (2022) Vol. 10, Iss. 22, pp. 4368-4368
Open Access | Times Cited: 2
Creation and validation of systems for product and process configuration based on data analysis
Alex Maximilian Frey, Marvin Carl May, Gisela Lanza
Production Engineering (2022) Vol. 17, Iss. 2, pp. 263-277
Open Access | Times Cited: 2
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