Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 physics-aware learning architecture with input transfer networks for predictive modeling
Amir Behjat, Chen Zeng, Rahul Rai, et al.
Applied Soft Computing (2020) Vol. 96, pp. 106665-106665
Closed Access | Times Cited: 11

Showing 11 citing articles:

An automated machine-learning-assisted stochastic-fuzzy multi-criteria decision making tool: Addressing record-to-record variability in seismic design
Ali Amini, Azam Abdollahi, Mohammad Amin Hariri‐Ardebili
Applied Soft Computing (2024) Vol. 154, pp. 111354-111354
Closed Access | Times Cited: 17
Physics-informed machine learning in prognostics and health management: State of the art and challenges
Weikun Deng, Khanh T.P. Nguyen, Kamal Medjaher, et al.
Applied Mathematical Modelling (2023) Vol. 124, pp. 325-352
Open Access | Times Cited: 35
Hybrid Finite-Difference Physics-Informed Neural Networks Partial Differential Equation Solver for Complex Geometries
Zixue Xiang, Wei Peng, Wen Yao, et al.
Journal of Thermophysics and Heat Transfer (2025), pp. 1-18
Closed Access
Physics Guided Deep Learning for Data-Driven Aircraft Fuel Consumption Modeling
Mevlüt Uzun, Mustafa Umut Demirezen, Gökhan İnalhan
Aerospace (2021) Vol. 8, Iss. 2, pp. 44-44
Open Access | Times Cited: 23
Auto-Differentiable Transfer Mapping Architecture for Physics-Infused Learning of Acoustic Field
R. Iqbal, Amir Behjat, Revant Adlakha, et al.
IEEE Transactions on Artificial Intelligence (2023) Vol. 5, Iss. 3, pp. 1132-1146
Closed Access | Times Cited: 3
Large-aperture experimental characterization of the acoustic field generated by a hovering unmanned aerial vehicle
Jesse Callanan, R. Iqbal, Revant Adlakha, et al.
The Journal of the Acoustical Society of America (2021) Vol. 150, Iss. 3, pp. 2046-2057
Closed Access | Times Cited: 8
Efficient Training of Transfer Mapping in Physics-Infused Machine Learning Models of UAV Acoustic Field
R. Iqbal, Amir Behjat, Revant Adlakha, et al.
AIAA SCITECH 2022 Forum (2022)
Open Access | Times Cited: 3
Advancing Marine Surveillance: A Hybrid Approach of Physics-Infused Neural Network for Enhanced Vessel Tracking Using Automatic Identification System Data
Tasmiah Haque, Md Asif Bin Syed, Srinjoy Das, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 11, pp. 1913-1913
Open Access
Intelligent computational techniques for physical object properties discovery, detection, and prediction: A comprehensive survey
Shaili Mishra, Anuja Arora
Computer Science Review (2023) Vol. 51, pp. 100609-100609
Closed Access | Times Cited: 1
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
Naoya Takeishi, Alexandros Kalousis
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1
Physics Infused Machine Learning Based Prediction of VTOL Aerodynamics with Sparse Datasets
Manaswin Oddiraju, D. E. Amin, Michael Piedmonte, et al.
AIAA Aviation 2019 Forum (2023)
Open Access
Page 1

Scroll to top