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OpenAlex Citation Counts

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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:

Machine learning on properties of multiscale multisource hydroxyapatite nanoparticles datasets with different morphologies and sizes
Ziteng Liu, Yinghuan Shi, Hongwei Chen, et al.
npj Computational Materials (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Artificial intelligence and machine learning in precision medicine: A paradigm shift in big data analysis
Mehar Sahu, Rohan Gupta, Rashmi K. Ambasta, et al.
Progress in molecular biology and translational science (2022), pp. 57-100
Closed Access | Times Cited: 92
Simulation-based approaches for drug delivery systems: Navigating advancements, opportunities, and challenges
Iman Salahshoori, Mahdi Golriz, Marcos A.L. Nobre, et al.
Journal of Molecular Liquids (2023) Vol. 395, pp. 123888-123888
Open Access | Times Cited: 56
Machine Learning Descriptors for Data‐Driven Catalysis Study
Li‐Hui Mou, TianTian Han, Pieter E. S. Smith, et al.
Advanced Science (2023) Vol. 10, Iss. 22
Open Access | Times Cited: 53
Expanding the Horizons of Machine Learning in Nanomaterials to Chiral Nanostructures
Vera Kuznetsova, Áine Coogan, Dmitry Botov, et al.
Advanced Materials (2024) Vol. 36, Iss. 18
Open Access | Times Cited: 24
Automated Machine Learning of Interfacial Interaction Descriptors and Energies in Metal-Catalyzed N2 and CO2 Reduction Reactions
Jiawei Chen, Yuming Gu, Qin Zhu, et al.
Langmuir (2025) Vol. 41, Iss. 5, pp. 3490-3502
Closed Access | Times Cited: 2
Phase classification of multi-principal element alloys via interpretable machine learning
Kyungtae Lee, Mukil V. Ayyasamy, Paige Delsa, et al.
npj Computational Materials (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 57
Autonomous Navigation of Robots: Optimization with DQN
Juan Escobar-Naranjo, Gustavo Caiza, Paulina Ayala, et al.
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7202-7202
Open Access | Times Cited: 24
Clinical translation of nanomedicine with integrated digital medicine and machine learning interventions
Farooq Ahmad, Tahir Muhmood
Colloids and Surfaces B Biointerfaces (2024) Vol. 241, pp. 114041-114041
Closed Access | Times Cited: 10
MD-GNN: A mechanism-data-driven graph neural network for molecular properties prediction and new material discovery
Saian Chen, Aziguli Wulamu, Qiping Zou, et al.
Journal of Molecular Graphics and Modelling (2023) Vol. 123, pp. 108506-108506
Closed Access | Times Cited: 19
Stability prediction of gold nanoclusters with different ligands and doped metals: deep learning and experimental tests
Yuming Gu, Shisi Tang, Xu Liu, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 8, pp. 4460-4472
Closed Access | Times Cited: 8
Nitrogen reduction reaction energy and pathways in metal-zeolites: deep learning and explainable machine learning with local acidity and hydrogen bonding features
Yuming Gu, Qin Zhu, Ziteng Liu, et al.
Journal of Materials Chemistry A (2022) Vol. 10, Iss. 28, pp. 14976-14988
Closed Access | Times Cited: 23
A Review of Hydroxyapatite Synthesis for Heavy Metal Adsorption Assisted by Machine Learning
Ming He, Zhuo Zhang, Mei Wang, et al.
Journal of Hazardous Materials (2024) Vol. 481, pp. 136525-136525
Closed Access | Times Cited: 5
Computational and data driven molecular material design assisted by low scaling quantum mechanics calculations and machine learning
Wei Li, Haibo Ma, Shuhua Li, et al.
Chemical Science (2021) Vol. 12, Iss. 45, pp. 14987-15006
Open Access | Times Cited: 30
Surface Stability and Morphology of Calcium Phosphate Tuned by pH Values and Lactic Acid Additives: Theoretical and Experimental Study
Hongwei Chen, Changchang Lv, Lin Guo, et al.
ACS Applied Materials & Interfaces (2022) Vol. 14, Iss. 4, pp. 4836-4851
Open Access | Times Cited: 20
Review of Machine Learning for Lipid Nanoparticle Formulation and Process Development
Phillip J. Dorsey, Christina L Lau, Ti‐chiun Chang, et al.
Journal of Pharmaceutical Sciences (2024)
Closed Access | Times Cited: 4
Explainable machine learning techniques for hybrid nanofluids transport characteristics: an evaluation of shapley additive and local interpretable model-agnostic explanations
Praveen Kumar Kanti, Prabhakar Sharma, V. Vicki Wanatasanappan, et al.
Journal of Thermal Analysis and Calorimetry (2024) Vol. 149, Iss. 21, pp. 11599-11618
Closed Access | Times Cited: 4
Study of Azobenzene-modified Black Phosphorus for Potential Tumor Therapy
Zheng Dong, Wenxi Li, Junchuan Liang, et al.
ACS Applied Materials & Interfaces (2024) Vol. 16, Iss. 46, pp. 63225-63240
Closed Access | Times Cited: 3
Estradiol and zinc-doped nano hydroxyapatite as therapeutic agents in the prevention of osteoporosis; oxidative stress status, inflammation, bone turnover, bone mineral density, and histological alterations in ovariectomized rats
Mona M. Elghareeb, Gehad E. Elshopakey, Tarek A. Elkhooly, et al.
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 13
Determinants and performance prediction on photocatalytic properties of hydroxyapatite by machine learning
Wei Liu, Yin Fang, Hangkai Qiu, et al.
Optical Materials (2023) Vol. 146, pp. 114510-114510
Closed Access | Times Cited: 7
Quantum Chemical Calculations and Machine Learning Predictions Innovate Synthesis for High-Performance Optical Gold Nanorods
Jinchang Yin, Haonan Wu, Jintao Zhang, et al.
Chemistry of Materials (2022) Vol. 34, Iss. 13, pp. 5928-5937
Closed Access | Times Cited: 12
Emerging polyoxometalate clusters-based redox flow batteries: Performance metrics, application prospects, and development strategies
Mingjun Han, Wei Sun, Wenjihao Hu, et al.
Energy storage materials (2024) Vol. 71, pp. 103576-103576
Closed Access | Times Cited: 2
Understanding zinc-doped hydroxyapatite structures using first-principles calculations and convolutional neural network algorithm
Jing Wang, Ruihan Wang, Mingli Yang, et al.
Journal of Materials Chemistry B (2022) Vol. 10, Iss. 8, pp. 1281-1290
Closed Access | Times Cited: 10
Machine learning approaches for biomolecular, biophysical, and biomaterials research
Carolin A. Rickert, Oliver Lieleg
Biophysics Reviews (2022) Vol. 3, Iss. 2
Closed Access | Times Cited: 10
Machine Learning in Unmanned Systems for Chemical Synthesis
Guoqiang Wang, Xuefei Wu, Bo Xin, et al.
Molecules (2023) Vol. 28, Iss. 5, pp. 2232-2232
Open Access | Times Cited: 3
Toward predicting surface energy of rutile TiO2 with machine learning
Fuming Lai, Riyue Ge, Min Zhao, et al.
CrystEngComm (2022) Vol. 25, Iss. 2, pp. 199-205
Closed Access | Times Cited: 5
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