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:

Discovery and prediction capabilities in metal-based nanomaterials: An overview of the application of machine learning techniques and some recent advances
Emmanuel Anuoluwa Bamidele, Ahmed Olanrewaju Ijaola, Michael Oluwatosin Bodunrin, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101593-101593
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Unleashing the Power of Artificial Intelligence in Materials Design
Silvia Badini, Stefano Regondi, Raffaele Pugliese
Materials (2023) Vol. 16, Iss. 17, pp. 5927-5927
Open Access | Times Cited: 44
Machine Learning Aided Design and Optimization of Thermal Metamaterials
Changliang Zhu, Emmanuel Anuoluwa Bamidele, Xiangying Shen, et al.
Chemical Reviews (2024) Vol. 124, Iss. 7, pp. 4258-4331
Open Access | Times Cited: 21
Agricultural Waste-Derived Carbon Nanomaterials for Biomedical Applications
Jaison Jeevanandam, Michael K. Danquah
Nanostructure science and technology (2025), pp. 213-232
Closed Access | Times Cited: 1
Polymeric biomaterials for wound healing applications: a comprehensive review
Ahmed Olanrewaju Ijaola, Damilola O. Akamo, Fouad Damiri, et al.
Journal of Biomaterials Science Polymer Edition (2022) Vol. 33, Iss. 15, pp. 1998-2050
Closed Access | Times Cited: 46
Strategies of Artificial intelligence tools in the domain of nanomedicine
Mohammad Habeeb, Huay Woon You, Mutheeswaran Umapathi, et al.
Journal of Drug Delivery Science and Technology (2023) Vol. 91, pp. 105157-105157
Closed Access | Times Cited: 24
Advances in materials informatics: a review
Dawn Sivan, K. Satheesh Kumar, Aziman Abdullah, et al.
Journal of Materials Science (2024) Vol. 59, Iss. 7, pp. 2602-2643
Closed Access | Times Cited: 10
Automated synthesis and processing of functional nanomaterials: Advances and perspectives
Masoud Negahdary, Samuel Mabbott
Coordination Chemistry Reviews (2024) Vol. 523, pp. 216249-216249
Closed Access | Times Cited: 6
Development of Robust Machine Learning Models for Predicting Flexural Strengths of Fiber-Reinforced Polymeric Composites
Abdulhammed K. Hamzat, Umar Salman, Md Shafinur Murad, et al.
Hybrid Advances (2025), pp. 100385-100385
Open Access
Artificial Intelligence Enabled Biomineralization for Eco‐Friendly Nanomaterial Synthesis: Charting Future Trends
Vaisali Chandrasekar, Anu Jayanthi Panicker, Ajay Vikram Singh, et al.
Nano Select (2025)
Open Access
Immunity‐Modulating Metal‐Based Nanomaterials for Cancer Immunotherapy
Xing Sun, Xican Xu, Fengying Li, et al.
Advanced Functional Materials (2025)
Closed Access
Performance of machine learning algorithms for detecting pine wilt disease infection using visible color imagery by UAV remote sensing
Ayako H. Oide, Yoshisada Nagasaka, Katsuyuki Tanaka
Remote Sensing Applications Society and Environment (2022) Vol. 28, pp. 100869-100869
Open Access | Times Cited: 14
Accelerated design and fabrication of thermal protection coating via high-throughput experiments and machine learning
Zhiyun Ye, Ke Li, Guoliang Chen, et al.
Corrosion Science (2024) Vol. 238, pp. 112388-112388
Closed Access | Times Cited: 2
DFT CALCULATIONS AND MOLECULAR DOCKING STUDY IN 6-(2”-PYRROLIDINONE-5”-YL)-(-) EPICATECHIN MOLECULE FROM FLAVONOIDS
Mehmet Bağlan, Ümit Yıldıko, Kenan Gören
Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler (2023) Vol. 11, Iss. 1, pp. 43-55
Open Access | Times Cited: 7
Prediction of total dissolved solids, based on optimization of new hybrid SVM models
Fatemeh Akhoni Pourhosseini, Kumars Ebrahimi, M H Omid
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106780-106780
Closed Access | Times Cited: 7
The Application of Artificial Intelligence in Magnetic Hyperthermia Based Research
Magdalena Osial, Agnieszka Pręgowska
Future Internet (2022) Vol. 14, Iss. 12, pp. 356-356
Open Access | Times Cited: 9
The Round Robin approach applied to nanoinformatics: consensus prediction of nanomaterials zeta potential
Dimitra‐Danai Varsou, Arkaprava Banerjee, Joyita Roy, et al.
(2024)
Open Access | Times Cited: 1
The round-robin approach applied to nanoinformatics: consensus prediction of nanomaterials zeta potential
Dimitra‐Danai Varsou, Arkaprava Banerjee, Joyita Roy, et al.
Beilstein Journal of Nanotechnology (2024) Vol. 15, pp. 1536-1553
Open Access | Times Cited: 1
Design and performance analysis of multi-enzyme activity-doped nanozymes assisted by machine learning
Fuguo Ge, Yonghui Gao, Yujie Jiang, et al.
Colloids and Surfaces B Biointerfaces (2024) Vol. 248, pp. 114468-114468
Closed Access | Times Cited: 1
Elimination of experimentation cost and time by data analysis in mechanical property prediction of aluminum alloys
M. Arunadevi, Yashwanth H Koppal, Pradhyumnna M Vasista, et al.
Materials Today Proceedings (2023)
Closed Access | Times Cited: 4
An optimised deep learning method for the prediction of dynamic viscosity of MXene-based nanofluid
Mohammad Reza Chalak Qazani, Navid Aslfattahi, Vladimír Kulish, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 8
Closed Access | Times Cited: 2
Molecular Dynamics Simulation of 40Cr/Q345 Hot Compression Process
Youwen Liang, Wen Yang, Kun Li, et al.
Journal of Materials Engineering and Performance (2024)
Closed Access
Navigating the Divide: Exploring the Boundaries and Implications of Artificial Intelligence Compared to Human Intelligence
Varun Geetha Mohan, Mohamed Ariff Ameedeen, Al-Fahim Mubarak Ali
(2024)
Closed Access
Morphological characterization of nanoparticle using machine learning techniques: A comparative analysis
K. Sushma, Argha Sarkar, U. M. Ashwinkumar
AIP conference proceedings (2024) Vol. 3122, pp. 080013-080013
Closed Access
A CNN-GA Hybrid Approach for Efficient Analysis of Size and Shape of Nanoparticle
Sushma KSN, Argha Sarkar, Gautam Sanyal
(2024), pp. 1-8
Closed Access
Machine Learning to support prospective Life Cycle Assessment of emerging chemical technologies
Carlos F. Blanco, N. Pauliks, François Donati, et al.
Current Opinion in Green and Sustainable Chemistry (2024) Vol. 50, pp. 100979-100979
Open Access
Page 1 - Next Page

Scroll to top