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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:

Variational quantum circuit-based quantum machine learning approach for predicting corrosion inhibition efficiency of pyridine-quinoline compounds
Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono
Deleted Journal (2024) Vol. 2, pp. 100007-100007
Open Access | Times Cited: 19

Showing 19 citing articles:

State-of-the-art progress on artificial intelligence and machine learning in accessing molecular coordination and adsorption of corrosion inhibitors
Taiwo W. Quadri, Ekemini D. Akpan, Saheed E. Elugoke, et al.
Applied Physics Reviews (2025) Vol. 12, Iss. 1
Closed Access
Quantum machine learning for ABO3 perovskite structure prediction
Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono, et al.
Computational Materials Science (2025) Vol. 250, pp. 113694-113694
Closed Access
Machine Learning-Based Prediction of Corrosion Inhibition Efficiency of Expired Pharmaceuticals: Model Development and Application
Dzaki Asari Surya Putra, Nibras Bahy Ardyansyah, Nicholaus Verdhy Putranto, et al.
Journal of Bio- and Tribo-Corrosion (2025) Vol. 11, Iss. 1
Closed Access
Quantum Circuit Learning for Predicting Nature of Band Gap of Perovskite Oxides
Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono, et al.
(2025)
Closed Access
A comprehensive approach utilizing quantum machine learning in the study of corrosion inhibition on quinoxaline compounds
Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono, et al.
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 2, pp. 100073-100073
Open Access | Times Cited: 5
Implementation of Quantum Machine Learning in Predicting Corrosion Inhibition Efficiency of Expired Drugs
Muhammad Reesa Rosyid, Lubna Mawaddah, Akbar Priyo Santosa, et al.
Materials Today Communications (2024) Vol. 40, pp. 109830-109830
Closed Access | Times Cited: 5
A feature restoration for machine learning on anti-corrosion materials
Supriadi Rustad, Muhamad Akrom, T. Sutojo, et al.
Case Studies in Chemical and Environmental Engineering (2024) Vol. 10, pp. 100902-100902
Open Access | Times Cited: 3
Investigation of Corrosion Inhibition Capability of Pyridazine Compounds via Ensemble Learning
Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono
Journal of Materials Engineering and Performance (2024)
Closed Access | Times Cited: 3
Corrosion protective and antibacterial epoxy coating via benzyldisulfide‑sulfur-doped graphene oxide with machine-learning simulation support
Sima Amanian, Sepideh Akbaripoor Tafreshi Nejad, S. Amoozadeh, et al.
Progress in Organic Coatings (2024) Vol. 194, pp. 108604-108604
Closed Access | Times Cited: 2
Machine learning for pyrimidine corrosion inhibitor small dataset
Wise Herowati, Wahyu Aji Eko Prabowo, Muhamad Akrom, et al.
Theoretical Chemistry Accounts (2024) Vol. 143, Iss. 8
Closed Access | Times Cited: 2
Development of a Machine Learning Model to Predict the Corrosion Inhibition Ability of Benzimidazole Compounds
Aprilyani Nur Safitri, Gustina Alfa Trisnapradika, Achmad Wahid Kurniawan, et al.
Journal of Multiscale Materials Informatics (2024) Vol. 1, Iss. 1, pp. 16-21
Open Access | Times Cited: 1
A Machine Learning Model for Evaluation of the Corrosion Inhibition Capacity of Quinoxaline Compounds
Noor Ageng Setiyanto, Harun Al Azies, Usman Sudibyo, et al.
Journal of Multiscale Materials Informatics (2024) Vol. 1, Iss. 1, pp. 10-15
Open Access | Times Cited: 1
Ensemble Learning Model in Predicting Corrosion Inhibition Capability of Pyridazine Compounds
Dian Arif Rachman, Muhamad Akrom
Journal of Multiscale Materials Informatics (2024) Vol. 1, Iss. 1, pp. 38-43
Open Access | Times Cited: 1
Harnessing Quantum SVR on Quantum Turing Machine for Drug Compounds Corrosion Inhibitors Analysis
Akbar Priyo Santosa, Muhammad Reesa, Lubna Mawaddah, et al.
Advance Sustainable Science Engineering and Technology (2024) Vol. 6, Iss. 3, pp. 02403013-02403013
Open Access | Times Cited: 1
Investigation of Corrosion Inhibition Efficiency of Pyridine-Quinoline Compounds through Machine Learning
Wise Herowati, Muhamad Akrom, Novianto Nur Hidayat, et al.
Journal of Multiscale Materials Informatics (2024) Vol. 1, Iss. 1, pp. 1-9
Open Access
Quantum machine learning for corrosion resistance in stainless steel
Muhamad Akrom, Supriadi Rustad, T. Sutojo, et al.
Deleted Journal (2024) Vol. 3, pp. 100013-100013
Open Access
Experimental and theoretical simulations to examine the influence of nonionic surfactant on the corrosion control of mild steel in hydrochloric acid
M.A. Deyab, Q. Mohsen, Omnia A. A. El‐Shamy
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Robust Machine Learning for Predicting Thermal Stability of Metal-Organic Framework
Harun Al Azies, Muhamad Akrom, Supriadi Rustad, et al.
Chemistry Africa (2024)
Closed Access
A machine learning approach for forecasting the efficacy of pyridazine corrosion inhibitors
Gustina Alfa Trisnapradika, Muhamad Akrom, Supriadi Rustad, et al.
Theoretical Chemistry Accounts (2024) Vol. 144, Iss. 1
Closed Access
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