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:

Incorporating physics into data-driven computer vision
Achuta Kadambi, Celso P. de Melo, Cho‐Jui Hsieh, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 6, pp. 572-580
Closed Access | Times Cited: 14

Showing 14 citing articles:

Inverse design of phononic meta-structured materials
Hao-Wen Dong, Chen Shen, Ze Liu, et al.
Materials Today (2024) Vol. 80, pp. 824-855
Open Access | Times Cited: 17
A review on the applications of graph neural networks in materials science at the atomic scale
Xingyue Shi, Linming Zhou, Yuhui Huang, et al.
Materials Genome Engineering Advances (2024) Vol. 2, Iss. 2
Open Access | Times Cited: 7
Integration of cognitive tasks into artificial general intelligence test for large models
Youzhi Qu, Chen Wei, Penghui Du, et al.
iScience (2024) Vol. 27, Iss. 4, pp. 109550-109550
Open Access | Times Cited: 6
Complexity of life sciences in quantum and AI era
Alexey N. Pyrkov, Alex Aliper, Dmitry S. Bezrukov, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Physics-driven learning for inverse problems in quantum chromodynamics
Gert Aarts, Kenji Fukushima, Tetsuo Hatsuda, et al.
Nature Reviews Physics (2025)
Open Access
Model-Driven Deep Neural Network for Enhancing Direction Finding with Commodity 5G gNodeB
Shengheng Liu, Zihuan Mao, Xingkang Li, et al.
ACM Transactions on Sensor Networks (2025)
Closed Access
Model interpretability enhances domain generalization in the case of textual complexity modeling
Frans van der Sluis, Egon L. van den Broek
Patterns (2025) Vol. 6, Iss. 2, pp. 101177-101177
Open Access
Physical question, virtual answer: Optimized real-time physical simulations and physics-informed learning approaches for cargo loading stability
Philipp Gabriel Mazur, Johannes Werner Melsbach, Detlef Schoder
Operations Research Perspectives (2025), pp. 100329-100329
Open Access
3D volumetric tomography of clouds using machine learning for climate analysis
Roi Ronen, Ilan Koren, Aviad Levis, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Digital twin model of a permanent magnet synchronous motor via a multiphysics-informed deep operator network
Seho Son, Hyunseung Lee, Dayeon Jeong, et al.
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112561-112561
Closed Access
Research on Yield Prediction Model Driven by Mechanism and Data Fusion
Xin Meng, Xingyu Liu, Hancong Duan, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1946-1946
Open Access
Level-Ground and Stair Adaptation for Hip Exoskeletons Based on Continuous Locomotion Mode Perception
Zhaoyang Wang, Dongfang Xu, Shunyi Zhao, et al.
Cyborg and Bionic Systems (2025) Vol. 6
Open Access
A novel Bayesian optimization prediction framework for four-axis industrial robot joint motion state
Li Zhu, Wei Liu, Hanzhong Tan, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 4, pp. 4867-4881
Open Access | Times Cited: 1
Artificial Intelligence Transformation of a Permanent Magnet Synchronous Motor Via a Multiphysics-Informed Deep Operator Network
Seho Son, Hyunseung Lee, Dayeon Jeong, et al.
(2024)
Closed Access
Unsupervised surface water mapping with airborne LiDAR data by leveraging physical properties of water
Hunsoo Song, Jinha Jung
GIScience & Remote Sensing (2024) Vol. 62, Iss. 1
Open Access
Page 1

Scroll to top