Author

Ahmad Abumalek

Observed name: Ahmad ABUMALEK

Institution: Balkh University

Observed institution: Balkh University

ORCID: 0009-0008-9962-8805

Observed ORCID: 0009-0008-9962-8805

OpenAlex ID: A5116740812

Robust classification frameworks for oxide nanomaterials assisted by machine learning

2025 · Wei Ju, Usama S. Altimari, et al. · Chemical Papers · 17

Enhanced performance of nanocomposite drilling fluids with synthesized TiO2 Quillaja saponin Cr nanoparticles and their impact on rheology and filtration

2025 · Ahmed R. ALBajalan, Azad A. Rasol, et al. · Scientific Reports · 11

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Accurate modeling and simulation of the effect of bacterial growth on the pH of culture media using artificial intelligence approaches

2025 · Suleiman Ibrahim Mohammad, Hamza Abu Owida, et al. · Scientific Reports · 7

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Accurate prediction of density, viscosity, and speed of sound in aqueous aliphatic biogenic polyamine solutions using data-driven modeling

2026 · Suleiman Ibrahim Mohammad, Hamza Abu Owida, et al. · Scientific Reports · 3

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New insights into compressive strength of cement-based materials

2026 · Xiangyun Wan, Ahmad Abumalek · Applied Materials Today · 3

Machine learning based calculation of refractive index of polyethylene glycol polymer

2025 · Walid Abdelfattah, Munthar Kadhim Abosaoda, et al. · Results in Chemistry · 3

Synergistic reinforcement of HPAM/Cr(III) acetate polymer gels using Fe₃O₄@Saponin/Ni nanocomposites for conformance control applications

2026 · Heyder Mhohamdi, Raman Kumar, et al. · Discover Nano · 2

Novel PLA-Henna composite for sustainable tertiary enhanced oil recovery

2025 · Tariq Alkhrissat, Ali Raqee Abdulhadi, et al. · Scientific Reports · 2

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Experimental study and soft computing modeling of shaly oil and gas reservoir cation exchange capacity based on novel machine learning approach

2026 · Wu Xiaobin, Zyad Shaaban, et al. · Physics and Chemistry of the Earth Parts A/B/C · 1

Hybrid machine learning models for predicting density, dynamic viscosity, and speed of sound in aliphatic biogenic polyamines

2025 · Suleiman Ibrahim Mohammad, Hamza Abu Owida, et al. · Results in Engineering · 1

Intelligent prediction of heat capacity of polyethylene glycol polymer

2025 · Jamal I. Al-Nabulsi, Zaid Ajzan Alsalami, et al. · Scientific Reports · 1

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Application of hybrid gradient boosting machine to reliably predict rate of penetration

2025 · JiaNing Zhang, Farag M.A. Altalbawy, et al. · Physics and Chemistry of the Earth Parts A/B/C · 1

Permeability reduction prediction in low-salinity water flooding of clay-rich sandstones through machine learning

2025 · Yuman Li, Farag M.A. Altalbawy, et al. · Physics and Chemistry of the Earth Parts A/B/C · 1

Electrical Conductivity Characterization in Shaly Reservoir Rocks Through Measurements and Optimization Techniques

2026 · Raman Kumar, Seif Al Bustanji, et al. · Journal of Petroleum Geology

Cerium oxide and bismuth oxide nanocomposites as clay swelling inhibitors in water based drilling fluids

2026 · Ghaleb Oriquat, Basim Abdul Alrhym, et al. · Discover Nano

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Synthesis and application of HAP/NiWO4 nanocomposites for enhancing rheological filtration and shale inhibition properties of water-based drilling fluids

2026 · Ghaleb Oriquat, Basim Abdul Alrhym, et al. · Chemical Papers

Synthesizing and characterization of a novel biodegradable composite for enhancing oil recovery

2026 · Tariq Alkhrissat, Ali Raqee Abdulhadi, et al. · Unconventional Resources

Data driven based investigation of polyethylene glycol heat capacity

2026 · Jamal I. Al-Nabulsi, Zaid Ajzan Alsalami, et al. · Chemical Papers

Synergistic Physicochemical Inhibition of Reactive Shale Formations Using Hydrothermally Synthesized Hydroxyapatite Nickel Tungstate Nanocomposites in Water‐Based Drilling Fluids

2026 · Ghaleb Oriquat, Basim Abdul Alrhym, et al. · Asia-Pacific Journal of Chemical Engineering

Assessment of quantum chemical predictors for anti-colorectal cancer agents using QSAR modeling

2026 · Yasser Alharbi, Kusum Yadav, et al. · Journal of Computer-Aided Molecular Design

Machine learning frameworks to accurately compute CO2 capture in porous liquids

2026 · Farag M. A. Altalbawy, Soumya V. Menon, et al. · Chemical Papers

Predicting the Storage Modulus of Chromium‐Crosslinked Polymer Gels Through Advanced Machine Learning Techniques

2026 · Farag M. A. Altalbawy, Raed H. C. Alfilh, et al. · Polymers for Advanced Technologies

A computational study of aerodynamic impact of nozzle lateral spacing on a conceptual jet trainer across varying body regions

2025 · Yanling Lu, Kassem Jummaa, et al. · Aerospace Science and Technology

Machine Learning-Assisted Transient Modeling of Asphaltene Particles Aggregation Size

2024 · Khalid Ibrahim Hasan, Karar H. Alfarttoosi, et al. · Doklady Physical Chemistry

Works count: 25

Citation count: 53

H-index: 3

I10-index: 2