![Logo of OpenAlex.org Project OpenAlex Citations Logo](https://www.oahelper.org/wp-content/plugins/oahelper-citations/img/logo-openalex.jpg)
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:
Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics
Kedar Hippalgaonkar, Qianxiao Li, Xiaonan Wang, et al.
Nature Reviews Materials (2023) Vol. 8, Iss. 4, pp. 241-260
Closed Access | Times Cited: 81
Kedar Hippalgaonkar, Qianxiao Li, Xiaonan Wang, et al.
Nature Reviews Materials (2023) Vol. 8, Iss. 4, pp. 241-260
Closed Access | Times Cited: 81
Showing 26-50 of 81 citing articles:
Machine learning in proton exchange membrane water electrolysis — A knowledge-integrated framework
Xia Chen, Alexander Rex, Janis Woelke, et al.
Applied Energy (2024) Vol. 371, pp. 123550-123550
Open Access | Times Cited: 4
Xia Chen, Alexander Rex, Janis Woelke, et al.
Applied Energy (2024) Vol. 371, pp. 123550-123550
Open Access | Times Cited: 4
Type-printable photodetector arrays for multichannel meta-infrared imaging
Junxiong Guo, Shuyi Gu, Lin Lin, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Junxiong Guo, Shuyi Gu, Lin Lin, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Harnessing the Missing Spectral Correlation for Metasurface Inverse Design
Jie Zhang, Chao Qian, Guangfeng You, et al.
Advanced Science (2024) Vol. 11, Iss. 33
Open Access | Times Cited: 4
Jie Zhang, Chao Qian, Guangfeng You, et al.
Advanced Science (2024) Vol. 11, Iss. 33
Open Access | Times Cited: 4
Guiding experiment with Machine Learning: A case study of biochar adsorption of Ciprofloxacin
Siyuan Jiang, Yilong Hou, Zhihao Man, et al.
Separation and Purification Technology (2023) Vol. 334, pp. 126023-126023
Closed Access | Times Cited: 12
Siyuan Jiang, Yilong Hou, Zhihao Man, et al.
Separation and Purification Technology (2023) Vol. 334, pp. 126023-126023
Closed Access | Times Cited: 12
Transforming research laboratories with connected digital twins
Simon D. Rihm, Jiaru Bai, Aleksandar Kondinski, et al.
Deleted Journal (2024) Vol. 1, Iss. 1, pp. 100004-100004
Open Access | Times Cited: 4
Simon D. Rihm, Jiaru Bai, Aleksandar Kondinski, et al.
Deleted Journal (2024) Vol. 1, Iss. 1, pp. 100004-100004
Open Access | Times Cited: 4
The future of self-driving laboratories: From Human in the Loop Interactive AI to Gamification
Holland Hysmith, Elham Foadian, Shakti P. Padhy, et al.
(2024)
Open Access | Times Cited: 3
Holland Hysmith, Elham Foadian, Shakti P. Padhy, et al.
(2024)
Open Access | Times Cited: 3
A generalizable framework of solution-guided machine learning with application to nanoindentation of free-standing thin films
Ruijin Wang, Tianquan Ying, Chen Yang, et al.
Thin-Walled Structures (2024) Vol. 200, pp. 111984-111984
Closed Access | Times Cited: 3
Ruijin Wang, Tianquan Ying, Chen Yang, et al.
Thin-Walled Structures (2024) Vol. 200, pp. 111984-111984
Closed Access | Times Cited: 3
Accelerating Formulation Design via Machine Learning: Generating a High-throughput Shampoo Formulations Dataset
Aniket Chitre, Robert C. M. Querimit, Simon D. Rihm, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 3
Aniket Chitre, Robert C. M. Querimit, Simon D. Rihm, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 3
Accelerating electrocatalyst design for CO2 conversion through machine learning: Interpretable models and data-driven innovations
Zijing Li, Yingchuan Zhang, Tao Zhou, et al.
Deleted Journal (2024) Vol. 1, Iss. 3, pp. 100029-100029
Open Access | Times Cited: 3
Zijing Li, Yingchuan Zhang, Tao Zhou, et al.
Deleted Journal (2024) Vol. 1, Iss. 3, pp. 100029-100029
Open Access | Times Cited: 3
Accelerating the Discovery of Efficient High-Entropy Alloy Electrocatalysts: High-Throughput Experimentation and Data-Driven Strategies
Xiangyi Shan, Yiyang Pan, Furong Cai, et al.
Nano Letters (2024) Vol. 24, Iss. 37, pp. 11632-11640
Closed Access | Times Cited: 3
Xiangyi Shan, Yiyang Pan, Furong Cai, et al.
Nano Letters (2024) Vol. 24, Iss. 37, pp. 11632-11640
Closed Access | Times Cited: 3
Materials cartography: A forward-looking perspective on materials representation and devising better maps
Steven B. Torrisi, Martin Z. Bazant, Alexander E. Cohen, et al.
APL Machine Learning (2023) Vol. 1, Iss. 2
Open Access | Times Cited: 9
Steven B. Torrisi, Martin Z. Bazant, Alexander E. Cohen, et al.
APL Machine Learning (2023) Vol. 1, Iss. 2
Open Access | Times Cited: 9
Accelerating the Design of Multishell Upconverting Nanoparticles through Bayesian Optimization
Xiaojing Xia, Eric Sivonxay, Brett A. Helms, et al.
Nano Letters (2023) Vol. 23, Iss. 23, pp. 11129-11136
Closed Access | Times Cited: 9
Xiaojing Xia, Eric Sivonxay, Brett A. Helms, et al.
Nano Letters (2023) Vol. 23, Iss. 23, pp. 11129-11136
Closed Access | Times Cited: 9
Prediction of concrete compressive strength employing machine learning techniques
K. C. Malhotra, Dhaneshwar Mishra, Charanjeet Singh Tumrate
Materials Today Proceedings (2023)
Closed Access | Times Cited: 8
K. C. Malhotra, Dhaneshwar Mishra, Charanjeet Singh Tumrate
Materials Today Proceedings (2023)
Closed Access | Times Cited: 8
The ScholarNet and Artificial Intelligence (AI) Supervisor in Material Science Research
Yanheng Xu, Shuqian Ye, Xi Zhu
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 36, pp. 7981-7991
Closed Access | Times Cited: 8
Yanheng Xu, Shuqian Ye, Xi Zhu
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 36, pp. 7981-7991
Closed Access | Times Cited: 8
Hacking decarbonization with a community-operated CreatorSpace
Aleksandar Kondinski, Sebastian Mosbach, Jethro Akroyd, et al.
Chem (2024) Vol. 10, Iss. 4, pp. 1071-1083
Open Access | Times Cited: 2
Aleksandar Kondinski, Sebastian Mosbach, Jethro Akroyd, et al.
Chem (2024) Vol. 10, Iss. 4, pp. 1071-1083
Open Access | Times Cited: 2
Understanding the phytotoxic effects of organic contaminants on rice through predictive modeling with molecular descriptors: A data-driven analysis
Shuyuan Wang, Jie Chen, Li Zhu
Journal of Hazardous Materials (2024) Vol. 476, pp. 134953-134953
Closed Access | Times Cited: 2
Shuyuan Wang, Jie Chen, Li Zhu
Journal of Hazardous Materials (2024) Vol. 476, pp. 134953-134953
Closed Access | Times Cited: 2
When Metal Nanoclusters Meet Smart Synthesis
Zhucheng Yang, Anye Shi, Ruixuan Zhang, et al.
ACS Nano (2024)
Closed Access | Times Cited: 2
Zhucheng Yang, Anye Shi, Ruixuan Zhang, et al.
ACS Nano (2024)
Closed Access | Times Cited: 2
AI-driven 3D bioprinting for regenerative medicine: From bench to bedside
Huajin Zhang, Xianhao Zhou, Yongcong Fang, et al.
Bioactive Materials (2024) Vol. 45, pp. 201-230
Closed Access | Times Cited: 2
Huajin Zhang, Xianhao Zhou, Yongcong Fang, et al.
Bioactive Materials (2024) Vol. 45, pp. 201-230
Closed Access | Times Cited: 2
Driving school for self-driving labs
Kelsey L. Snapp, Keith A. Brown
Digital Discovery (2023) Vol. 2, Iss. 5, pp. 1620-1629
Open Access | Times Cited: 7
Kelsey L. Snapp, Keith A. Brown
Digital Discovery (2023) Vol. 2, Iss. 5, pp. 1620-1629
Open Access | Times Cited: 7
Can domain knowledge benefit machine learning for concrete property prediction?
Zhanzhao Li, Te Pei, Weichao Ying, et al.
Journal of the American Ceramic Society (2023) Vol. 107, Iss. 3, pp. 1582-1602
Open Access | Times Cited: 7
Zhanzhao Li, Te Pei, Weichao Ying, et al.
Journal of the American Ceramic Society (2023) Vol. 107, Iss. 3, pp. 1582-1602
Open Access | Times Cited: 7
Multifunctional, flexible, and mechanically robust polyimide-MXene nanocomposites: a review
Aysun Altan, Mina Namvari
2D Materials (2023) Vol. 10, Iss. 4, pp. 042001-042001
Open Access | Times Cited: 6
Aysun Altan, Mina Namvari
2D Materials (2023) Vol. 10, Iss. 4, pp. 042001-042001
Open Access | Times Cited: 6
A Survey of Visual Affordance Recognition Based on Deep Learning
Dongpan Chen, Dehui Kong, Jinghua Li, et al.
IEEE Transactions on Big Data (2023) Vol. 9, Iss. 6, pp. 1458-1476
Closed Access | Times Cited: 5
Dongpan Chen, Dehui Kong, Jinghua Li, et al.
IEEE Transactions on Big Data (2023) Vol. 9, Iss. 6, pp. 1458-1476
Closed Access | Times Cited: 5
Theoretical Insights into Neural Networks and Deep Learning: Advancing Understanding, Interpretability, and Generalization
Usman Ahmad Usmani, Mohammed Umar Usmani
(2023), pp. 1-8
Closed Access | Times Cited: 5
Usman Ahmad Usmani, Mohammed Umar Usmani
(2023), pp. 1-8
Closed Access | Times Cited: 5
High hardness and toughness potential TiN/TiSiN gradient nano-multilayer coating structure by finite element study
Wei Liu, Qiang Shen, Mai Yang, et al.
Ceramics International (2023) Vol. 50, Iss. 6, pp. 9034-9046
Closed Access | Times Cited: 5
Wei Liu, Qiang Shen, Mai Yang, et al.
Ceramics International (2023) Vol. 50, Iss. 6, pp. 9034-9046
Closed Access | Times Cited: 5
Sefnet: Linking Tabular Datasets with Semantic Feature Nets
Katarzyna Woźnica, Piotr L. Wilczyński, Przemysław Biecek
(2024)
Closed Access | Times Cited: 1
Katarzyna Woźnica, Piotr L. Wilczyński, Przemysław Biecek
(2024)
Closed Access | Times Cited: 1