Muhamad Akrom

737 citations

43 papers · 531 indexed · h-index 13

Metals and Alloys top 5%
- Hydrogen embrittlement and corrosion behaviors in metals 7
Materials Chemistry top 10%
- Corrosion Behavior and Inhibition 16
- Machine Learning in Materials Science 12
- Material Properties and Failure Mechanisms 5
Civil and Structural Engineering top 10%
- Concrete Corrosion and Durability 11
Computational Theory and Mathematics top 10%
- Computational Drug Discovery Methods 7
Electrochemistry
Artificial Intelligence
- Quantum Computing Algorithms and Architecture 7
Computer Vision and Pattern Recognition
- Chaos-based Image/Signal Encryption 3

Co-authors: Supriadi Rustad Hermawan Kresno Dipojono T. Sutojo Adhitya Gandaryus Saputro Guruh Fajar Shidik Abdul Syukur Arifin Luthfi Maulana Ahmad Nuruddin
Cited by: Metals and Alloys Materials Chemistry Civil and Structural Engineering
Journals: SHILAP Revista de lepidopterología (5 papers)Applied Surface Science (1 paper)Optics Communications (1 paper)
Partner nations: Indonesia Japan Malaysia

In The Last Decade

Muhamad Akrom

37 papers receiving 498 citations

Peers

Countries citing papers authored by Muhamad Akrom

Since Specialization

Citations

This map shows the geographic impact of Muhamad Akrom's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Muhamad Akrom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhamad Akrom more than expected).

Fields of papers citing papers by Muhamad Akrom

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhamad Akrom. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Muhamad Akrom. The network helps show where Muhamad Akrom may publish in the future.

Co-authorship network

The 21 scholars most cited alongside Muhamad Akrom, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Muhamad Akrom Line = papers co-authored together Muhamad Akrom links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	SMOTE-ENN Resampling to Optimize Diabetes Prediction in Imbalanced Data Ingénierie des systèmes d information ·Agustinus Eko Setiawan,Supriadi Rustad,Abdul Syukur,Moch Arief Soeleman,Muhamad Akrom,Awan Setiawan	2025	1
2	SMILES-driven machine learning for high-throughput investigation of anti-corrosion materials Chemometrics and Intelligent Laboratory Systems ·Muhamad Akrom,Harun Al Azies,Wise Herowati,T. Sutojo,Supriadi Rustad,Hermawan Kresno Dipojono,Hideaki Kasai	2025	1
3	Acceptable noise level of quantum circuit for encrypting plaintext Franklin Open ·T. Sutojo,Supriadi Rustad,De Rosal Ignatius Moses Setiadi,Muhamad Akrom,Guruh Fajar Shidik,Hermawan Kresno Dipojono	2025	0
4	Stacking classical-quantum hybrid learning approach for corrosion inhibition efficiency of N-heterocyclic compounds Results in Surfaces and Interfaces ·Muhamad Akrom,Supriadi Rustad,T. Sutojo,Wahyu Aji Eko Prabowo,Hermawan Kresno Dipojono,Ryo Maezono,Hideaki Kasai	2025	0
5	Quantum machine learning for corrosion resistance in stainless steel SHILAP Revista de lepidopterología ·Muhamad Akrom,Supriadi Rustad,T. Sutojo,De Rosal Ignatius Moses Setiadi,Hermawan Kresno Dipojono,Ryo Maezono,Moses M. Solomon	2024	7
6	Implementation of quantum machine learning in predicting corrosion inhibition efficiency of expired drugs Materials Today Communications ·Muhammad Reesa Rosyid,Lubna Mawaddah,Akbar Priyo Santosa,Muhamad Akrom,Supriadi Rustad,Hermawan Kresno Dipojono	2024	12
7	Prediction of Corrosion Inhibition Efficiency Based on Machine Learning for Pyrimidine Compounds: A Comparative Study of Linear and Non-linear Algorithms KnE Engineering ·Wise Herowati,Wahyu Aji Eko Prabowo,Muhamad Akrom,T. Sutojo,Noor Ageng Setiyanto,Achmad Wahid Kurniawan,Novianto Nur Hidayat,Supriadi Rustad	2024	15
8	Quantum Support Vector Machine for Classification Task: A Review Muhamad Akrom	2024	7
9	Ensemble Learning Model in Predicting Corrosion Inhibition Capability of Pyridazine Compounds Dian Arif Rachman,Muhamad Akrom	2024	2
10	Implementation of Polynomial Functions to Improve the Accuracy of Machine Learning Models in Predicting the Corrosion Inhibition Efficiency of Pyridine-Quinoline Compounds as Corrosion Inhibitors KnE Engineering ·Setyo Budi,Muhamad Akrom,Harun Al Azies,Usman Sudibyo,T. Sutojo,Gustina Alfa Trisnapradika,Aprilyani Nur Safitri,Ayu Pertiwi,Supriadi Rustad	2024	13
11	A comprehensive approach utilizing quantum machine learning in the study of corrosion inhibition on quinoxaline compounds SHILAP Revista de lepidopterología ·Muhamad Akrom,Supriadi Rustad,Hermawan Kresno Dipojono,Ryo Maezono	2024	7
12	Robust Machine Learning for Predicting Thermal Stability of Metal-Organic Framework Chemistry Africa ·Harun Al Azies,Muhamad Akrom,Supriadi Rustad,Hermawan Kresno Dipojono	2024	2
13	Prediction of Anti-Corrosion performance of new triazole derivatives via Machine learning Computational and Theoretical Chemistry ·Muhamad Akrom,Supriadi Rustad,Hermawan Kresno Dipojono	2024	19
14	Perbandingan Algoritma Multilinear Regression dan Decision Tree Regressor dalam Memprediksi Efisiensi Penghambatan Korosi Piridazin EDUMATIC Jurnal Pendidikan Informatika ·Fachriansyah Muhammad Haikal,Muhamad Akrom,Gustina Alfa Trisnapradika	2023	2
15	Investigation of Best QSPR-Based Machine Learning Model to Predict Corrosion Inhibition Performance of Pyridine-Quinoline Compounds Journal of Physics Conference Series ·Muhamad Akrom,T. Sutojo,Ayu Pertiwi,Supriadi Rustad,Hermawan Kresno Dipojono	2023	27
16	Optimization of Polynomial Functions on the NuSVR Algorithm Based on Machine Learning: Case Studies on Regression Datasets Scientific Journal of Informatics ·Setyo Budi,Muhamad Akrom,Gustina Alfa Trisnapradika,T. Sutojo,Wahyu Aji Eko Prabowo	2023	11
17	Machine learning investigation to predict corrosion inhibition capacity of new amino acid compounds as corrosion inhibitors Results in Chemistry ·Muhamad Akrom,Supriadi Rustad,Hermawan Kresno Dipojono	2023	41
18	A machine learning approach for corrosion small datasets npj Materials Degradation ·T. Sutojo,Supriadi Rustad,Muhamad Akrom,Abdul Syukur,Guruh Fajar Shidik,Hermawan Kresno Dipojono	2023	81
19	A combination of machine learning model and density functional theory method to predict corrosion inhibition performance of new diazine derivative compounds Materials Today Communications ·Muhamad Akrom,Supriadi Rustad,Adhitya Gandaryus Saputro,Aditianto Ramelan,Fadjar Fathurrahman,Hermawan Kresno Dipojono	2023	38
20	Data-driven investigation to model the corrosion inhibition efficiency of Pyrimidine-Pyrazole hybrid corrosion inhibitors Computational and Theoretical Chemistry ·Muhamad Akrom,Supriadi Rustad,Adhitya Gandaryus Saputro,Hermawan Kresno Dipojono	2023	42

About Muhamad Akrom

Muhamad Akrom is a scholar working on Metals and Alloys, Materials Chemistry and Civil and Structural Engineering, having authored 43 papers that have together received 531 indexed citations. Recurring topics across this work include Corrosion Behavior and Inhibition (16 papers), Machine Learning in Materials Science (12 papers), Concrete Corrosion and Durability (11 papers), Computational Drug Discovery Methods (7 papers), Quantum Computing Algorithms and Architecture (7 papers), Hydrogen embrittlement and corrosion behaviors in metals (7 papers), Material Properties and Failure Mechanisms (5 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Metals and Alloys (130 citations), Materials Chemistry (422 citations) and Civil and Structural Engineering (145 citations). Muhamad Akrom has collaborated with scholars based in Indonesia, Japan and Malaysia. Frequent co-authors include Supriadi Rustad, Hermawan Kresno Dipojono, T. Sutojo, Adhitya Gandaryus Saputro, Guruh Fajar Shidik, Abdul Syukur, Arifin Luthfi Maulana, Ahmad Nuruddin, De Rosal Ignatius Moses Setiadi and Ryo Maezono. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Surface Science and Optics Communications.

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