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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:

Hybrid physics-based and data-driven models for smart manufacturing: Modelling, simulation, and explainability
Jinjiang Wang, Yilin Li, Robert X. Gao, et al.
Journal of Manufacturing Systems (2022) Vol. 63, pp. 381-391
Closed Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

Machine learning-based fatigue life prediction of metal materials: Perspectives of physics-informed and data-driven hybrid methods
Haijie Wang, Bo Li, Jian‐Guo Gong, et al.
Engineering Fracture Mechanics (2023) Vol. 284, pp. 109242-109242
Closed Access | Times Cited: 104
A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities
Huiqin Li, Zhengxin Zhang, Tianmei Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111120-111120
Closed Access | Times Cited: 65
Physics-informed interpretable wavelet weight initialization and balanced dynamic adaptive threshold for intelligent fault diagnosis of rolling bearings
Chao He, Hongmei Shi, Jin Si, et al.
Journal of Manufacturing Systems (2023) Vol. 70, pp. 579-592
Closed Access | Times Cited: 59
Advancing Livestock Technology: Intelligent Systemization for Enhanced Productivity, Welfare, and Sustainability
Petru Alexandru Vlaicu, Mihail Alexandru Gras, Arabela Elena Untea, et al.
AgriEngineering (2024) Vol. 6, Iss. 2, pp. 1479-1496
Open Access | Times Cited: 15
Data–model Fusion Methods and Applications toward Smart Manufacturing and Digital Engineering
Fei Tao, Yilin Li, Yupeng Wei, et al.
Engineering (2025)
Open Access | Times Cited: 1
IDSN: A one-stage interpretable and differentiable STFT domain adaptation network for traction motor of high-speed trains cross-machine diagnosis
Chao He, Hongmei Shi, Jianbo Li
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110846-110846
Closed Access | Times Cited: 27
Prediction of melt pool width and layer height for Laser Directed Energy Deposition enabled by physics-driven temporal convolutional network
Yanghui Wang, Kaixiong Hu, Weidong Li, et al.
Journal of Manufacturing Systems (2023) Vol. 69, pp. 1-17
Closed Access | Times Cited: 26
Predictive modelling framework on the basis of artificial neural network: A case of nano-powder mixed electric discharge machining
Muhammad Sana, Muhammad Umar Farooq, Saqib Anwar, et al.
Heliyon (2023) Vol. 9, Iss. 12, pp. e22508-e22508
Open Access | Times Cited: 22
Pipeline condition monitoring towards digital twin system: A case study
Teng Wang, Ke Feng, Jiatong Ling, et al.
Journal of Manufacturing Systems (2024) Vol. 73, pp. 256-274
Closed Access | Times Cited: 13
Artificial Intelligence in Environmental Monitoring: Advancements, Challenges, and Future Directions
David B. Olawade, Ojima Z. Wada, Abimbola O. Ige, et al.
Hygiene and Environmental Health Advances (2024), pp. 100114-100114
Open Access | Times Cited: 13
High-performance Manufacturing
Dongming Guo
International Journal of Extreme Manufacturing (2024) Vol. 6, Iss. 6, pp. 060201-060201
Open Access | Times Cited: 12
BIM Integration with XAI Using LIME and MOO for Automated Green Building Energy Performance Analysis
Abdul Mateen Khan, Muhammad Abubakar Tariq, Sardar Kashif Ur Rehman, et al.
Energies (2024) Vol. 17, Iss. 13, pp. 3295-3295
Open Access | Times Cited: 10
Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects
Y Wan, Ying Liu, Zhenyuan Chen, et al.
Journal of Manufacturing Systems (2024) Vol. 76, pp. 103-132
Open Access | Times Cited: 9
Dynamic real-time forecasting technique for reclaimed water volumes in urban river environmental management
Lina Zhang, Chao Wang, Wenbin Hu, et al.
Environmental Research (2024) Vol. 248, pp. 118267-118267
Closed Access | Times Cited: 7
DT-CEPA: A digital twin-driven contour error prediction approach for machine tools based on hybrid modeling and sparse time series
Shuai Ji, Hepeng Ni, Tianliang Hu, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 88, pp. 102738-102738
Closed Access | Times Cited: 6
Accelerated Process Parameter Selection of Polymer-based Selective Laser Sintering via Hybrid Physics-informed Neural Network and Finite Element Surrogate Modelling
Hao-Ping Yeh, Mohamad Bayat, Amirhossein Arzani, et al.
Applied Mathematical Modelling (2024) Vol. 130, pp. 693-712
Open Access | Times Cited: 6
Selecting subsets of source data for transfer learning with applications in metal additive manufacturing
Yifan Tang, Mostafa Rahmani Dehaghani, Pouyan Sajadi, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 6
Digital Twin Modeling Enabled Machine Tool Intelligence: A Review
Lei Zhang, Jianhua Liu, Cunbo Zhuang
Chinese Journal of Mechanical Engineering (2024) Vol. 37, Iss. 1
Open Access | Times Cited: 6
Continuum Robots and Magnetic Soft Robots: From Models to Interdisciplinary Challenges for Medical Applications
Honghong Wang, Yi Mao, Jingli Du
Micromachines (2024) Vol. 15, Iss. 3, pp. 313-313
Open Access | Times Cited: 5
Flow field reconstruction from spray imaging: A hybrid physics-based and machine learning approach based on two-phase fluorescence particle image velocimetry measurements
Fengnian Zhao, Ziming Zhou, David L. S. Hung, et al.
Physics of Fluids (2024) Vol. 36, Iss. 4
Closed Access | Times Cited: 5
A universal tool for estimating monthly solar radiation on tilted surfaces from horizontal measurements: A machine learning approach
Bilal Rinchi, Osama Ayadi, Sameer Al‐Dahidi, et al.
Energy Conversion and Management (2024) Vol. 314, pp. 118703-118703
Closed Access | Times Cited: 5
A comparative study of dimensional and non-dimensional inputs in physics-informed and data-driven neural networks for single-droplet evaporation
Narjes Malekjani, Abdolreza Kharaghani, Evangelos Tsotsas
Chemical Engineering Science (2025), pp. 121214-121214
Open Access
A review on full-, zero-, and partial-knowledge based predictive models for industrial applications
Stefano Zampini, Guido Parodi, Luca Oneto, et al.
Information Fusion (2025), pp. 102996-102996
Open Access
Agile conceptual design and validation based on multi-source product data and large language models: a review, framework, and outlook
Shijiang Li, Xingwei Zhou, Ying Liu, et al.
Journal of Engineering Design (2025), pp. 1-31
Closed Access
Data‐centric Process, Property, and Performance of Carbon Coatings
Muhammad İkhlaq, Abdul Wasy Zia
(2025), pp. 373-412
Closed Access
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