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:
AI methods in materials design, discovery and manufacturing: A review
Ioannis Papadimitriou, Ilias Gialampoukidis, Stefanos Vrochidis, et al.
Computational Materials Science (2024) Vol. 235, pp. 112793-112793
Closed Access | Times Cited: 30
Ioannis Papadimitriou, Ilias Gialampoukidis, Stefanos Vrochidis, et al.
Computational Materials Science (2024) Vol. 235, pp. 112793-112793
Closed Access | Times Cited: 30
Showing 1-25 of 30 citing articles:
Human-Centered and Sustainable Artificial Intelligence in Industry 5.0: Challenges and Perspectives
Barbara Martini, Denise Bellisario, Paola Coletti
Sustainability (2024) Vol. 16, Iss. 13, pp. 5448-5448
Open Access | Times Cited: 37
Barbara Martini, Denise Bellisario, Paola Coletti
Sustainability (2024) Vol. 16, Iss. 13, pp. 5448-5448
Open Access | Times Cited: 37
AI-Driven Research Methodologies
Muhammad Usman Tariq
IGI Global eBooks (2025), pp. 97-122
Closed Access | Times Cited: 8
Muhammad Usman Tariq
IGI Global eBooks (2025), pp. 97-122
Closed Access | Times Cited: 8
Application of machine learning in adsorption energy storage using metal organic frameworks: A review
Nokubonga P. Makhanya, Michael Kumi, Charles Mbohwa, et al.
Journal of Energy Storage (2025) Vol. 111, pp. 115363-115363
Closed Access | Times Cited: 2
Nokubonga P. Makhanya, Michael Kumi, Charles Mbohwa, et al.
Journal of Energy Storage (2025) Vol. 111, pp. 115363-115363
Closed Access | Times Cited: 2
Additive manufacturing for biomedical bone implants: Shaping the future of bones
Muhammad Hassan Razzaq, Usama Zaheer, Humayun Asghar, et al.
Materials Science and Engineering R Reports (2025) Vol. 163, pp. 100931-100931
Open Access | Times Cited: 2
Muhammad Hassan Razzaq, Usama Zaheer, Humayun Asghar, et al.
Materials Science and Engineering R Reports (2025) Vol. 163, pp. 100931-100931
Open Access | Times Cited: 2
Additive Manufacturing Modification by Artificial Intelligence, Machine Learning, and Deep Learning: A Review
Mohsen Soori, Fooad Karımı Ghaleh Jough, Roza Dastres, et al.
Deleted Journal (2025), pp. 200198-200198
Open Access | Times Cited: 2
Mohsen Soori, Fooad Karımı Ghaleh Jough, Roza Dastres, et al.
Deleted Journal (2025), pp. 200198-200198
Open Access | Times Cited: 2
Recent Applications of Theoretical Calculations and Artificial Intelligence in Solid-State Electrolyte Research: A Review
Ming-Wei Wu, Zheng Wei, Yan Zhao, et al.
Nanomaterials (2025) Vol. 15, Iss. 3, pp. 225-225
Open Access | Times Cited: 1
Ming-Wei Wu, Zheng Wei, Yan Zhao, et al.
Nanomaterials (2025) Vol. 15, Iss. 3, pp. 225-225
Open Access | Times Cited: 1
Machine learning insights into the strain-stress behavior of nitinol alloys at low temperatures: Utilizing the orange data mining tool
Abdel-baset H. Mekky
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2025)
Closed Access | Times Cited: 1
Abdel-baset H. Mekky
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2025)
Closed Access | Times Cited: 1
Polyetheretherketone biomaterials and their current progress, modification-based biomedical applications and future challenges
Zhanli Yang, Weiwei Guo, Wenhao Yang, et al.
Materials & Design (2025), pp. 113716-113716
Open Access | Times Cited: 1
Zhanli Yang, Weiwei Guo, Wenhao Yang, et al.
Materials & Design (2025), pp. 113716-113716
Open Access | Times Cited: 1
Recent developments in (photo)electrocatalytic materials for wastewater treatment and resource recovery
Hugo Olvera‐Vargas, Marta Pazos, Erika Bustos, et al.
Applied Catalysis O Open (2025), pp. 207033-207033
Open Access | Times Cited: 1
Hugo Olvera‐Vargas, Marta Pazos, Erika Bustos, et al.
Applied Catalysis O Open (2025), pp. 207033-207033
Open Access | Times Cited: 1
Two heads are better than one: Unravelling the potential Impact of Artificial Intelligence in nanotechnology
Gaurav Gopal Naik, Vijay A. Jagtap
Nano TransMed (2024) Vol. 3, pp. 100041-100041
Open Access | Times Cited: 8
Gaurav Gopal Naik, Vijay A. Jagtap
Nano TransMed (2024) Vol. 3, pp. 100041-100041
Open Access | Times Cited: 8
Leveraging Machine Learning Potentials for In-Situ Searching of Active sites in Heterogeneous Catalysis
Xiran Cheng, Chenyu Wu, Jiayan Xu, et al.
Precision Chemistry (2024) Vol. 2, Iss. 11, pp. 570-586
Open Access | Times Cited: 6
Xiran Cheng, Chenyu Wu, Jiayan Xu, et al.
Precision Chemistry (2024) Vol. 2, Iss. 11, pp. 570-586
Open Access | Times Cited: 6
High-performance Carbonaceous Absorbers: From Heterogeneous Absorbents to Data-driven Metamaterials
Diana Estévez, Faxiang Qin
Carbon (2024), pp. 119850-119850
Closed Access | Times Cited: 4
Diana Estévez, Faxiang Qin
Carbon (2024), pp. 119850-119850
Closed Access | Times Cited: 4
Unlocking new horizons, challenges of integrating machine learning to energy conversion and storage research
Muthuraja Velpandian, Suddhasatwa Basu
Indian Chemical Engineer (2025), pp. 1-18
Closed Access
Muthuraja Velpandian, Suddhasatwa Basu
Indian Chemical Engineer (2025), pp. 1-18
Closed Access
Recent progress and advancement in detecting Methylmercury using a battery of biosensors and biomolecular-based techniques: An updated overview
A. F. P. Allwin Mabes Raj, Raghuraj Singh Chouhan, Aljoša Košak, et al.
TrAC Trends in Analytical Chemistry (2025), pp. 118157-118157
Open Access
A. F. P. Allwin Mabes Raj, Raghuraj Singh Chouhan, Aljoša Košak, et al.
TrAC Trends in Analytical Chemistry (2025), pp. 118157-118157
Open Access
A multiscale molecular structural neural network for molecular property prediction
Zhiwei Shi, Miao Ma, Hanyang Ning, et al.
Molecular Diversity (2025)
Closed Access
Zhiwei Shi, Miao Ma, Hanyang Ning, et al.
Molecular Diversity (2025)
Closed Access
Lean CNNs for Mapping Electron Charge Density Fields to Material Properties
Pranoy Ray, Kamal Choudhary, Surya R. Kalidindi
Integrating materials and manufacturing innovation (2025)
Closed Access
Pranoy Ray, Kamal Choudhary, Surya R. Kalidindi
Integrating materials and manufacturing innovation (2025)
Closed Access
Digital Twin Technology for Aquaculture Systems Simulation
Bejawada Chanikya Naidu, M Sahana, Muzammal Hoque, et al.
(2025), pp. 167-182
Closed Access
Bejawada Chanikya Naidu, M Sahana, Muzammal Hoque, et al.
(2025), pp. 167-182
Closed Access
Integrating Density Functional Theory Calculations and Machine Learning to Identify Conduction Band Minimum as a Descriptor for High-Efficiency Hydrogen Evolution Reaction Catalysts in Transition Metal Dichalcogenides
Xiaolin Jiang, G.H. Liu, L. Zhang, et al.
Catalysts (2025) Vol. 15, Iss. 4, pp. 309-309
Open Access
Xiaolin Jiang, G.H. Liu, L. Zhang, et al.
Catalysts (2025) Vol. 15, Iss. 4, pp. 309-309
Open Access
The Earth alignment principle for artificial intelligence
Owen Gaffney, Amy Luers, Franklin Carrero-Martinez, et al.
Nature Sustainability (2025)
Closed Access
Owen Gaffney, Amy Luers, Franklin Carrero-Martinez, et al.
Nature Sustainability (2025)
Closed Access
Effectiveness of the AI using different typologies of design methods
Vicente Chulvi
Research in Engineering Design (2025) Vol. 36, Iss. 2
Open Access
Vicente Chulvi
Research in Engineering Design (2025) Vol. 36, Iss. 2
Open Access
Accelerated material discovery of high-performance Mg alloys via active learning and high throughput multi-objective informed Bayesian optimization
Atwakyire Moses, Ying Gui, Ding Chen
Materials Today Communications (2025), pp. 112484-112484
Closed Access
Atwakyire Moses, Ying Gui, Ding Chen
Materials Today Communications (2025), pp. 112484-112484
Closed Access
Computational Insights into the structural, electronic, mechanical, and optical properties of Cu, Ge, and Au-doped CsTiO3 for Optoelectronic Applications
Tehreem Fatima, Abdul Waheed Anwar, M. Basit Shakir, et al.
Computational Condensed Matter (2025), pp. e01056-e01056
Closed Access
Tehreem Fatima, Abdul Waheed Anwar, M. Basit Shakir, et al.
Computational Condensed Matter (2025), pp. e01056-e01056
Closed Access
Atomistic simulation and machine learning predictions of mechanical response in nanotube-polymer composites considering filler morphology and aggregation
Hamid Ghasemi, Hessam Yazdani
Computational Materials Science (2024) Vol. 246, pp. 113399-113399
Closed Access | Times Cited: 3
Hamid Ghasemi, Hessam Yazdani
Computational Materials Science (2024) Vol. 246, pp. 113399-113399
Closed Access | Times Cited: 3
A review of the progress and challenges of counter-gravity casting
Dafan Du, Jiatuo An, Anping Dong, et al.
Journal of Material Science and Technology (2024) Vol. 216, pp. 1-26
Closed Access | Times Cited: 2
Dafan Du, Jiatuo An, Anping Dong, et al.
Journal of Material Science and Technology (2024) Vol. 216, pp. 1-26
Closed Access | Times Cited: 2
The Role of Artificial Intelligence and Big Data Analytics in Shaping the Future of Professions in Industry 6.0: Perspectives from an Emerging Market
Delia Deliu, Andrei Olariu
Electronics (2024) Vol. 13, Iss. 24, pp. 4983-4983
Open Access | Times Cited: 2
Delia Deliu, Andrei Olariu
Electronics (2024) Vol. 13, Iss. 24, pp. 4983-4983
Open Access | Times Cited: 2
