T. Sutojo

443 total citations
39 papers, 322 citations indexed

About

T. Sutojo is a scholar working on Artificial Intelligence, Materials Chemistry and Information Systems. According to data from OpenAlex, T. Sutojo has authored 39 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Materials Chemistry and 11 papers in Information Systems. Recurrent topics in T. Sutojo's work include Edcuational Technology Systems (9 papers), Computer Science and Engineering (7 papers) and Corrosion Behavior and Inhibition (6 papers). T. Sutojo is often cited by papers focused on Edcuational Technology Systems (9 papers), Computer Science and Engineering (7 papers) and Corrosion Behavior and Inhibition (6 papers). T. Sutojo collaborates with scholars based in Indonesia, Japan and Vietnam. T. Sutojo's co-authors include Muhamad Akrom, Supriadi Rustad, De Rosal Ignatius Moses Setiadi, Hermawan Kresno Dipojono, Eko Hari Rachmawanto, Christy Atika Sari, Guruh Fajar Shidik, Abdul Syukur, Sudaryanto Sudaryanto and Arnold Adimabua Ojugo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optics Communications and Theoretical Chemistry Accounts.

In The Last Decade

T. Sutojo

29 papers receiving 304 citations

Peers

T. Sutojo
T. Sutojo
Citations per year, relative to T. Sutojo T. Sutojo (= 1×) peers Xiran Wang

Countries citing papers authored by T. Sutojo

Since Specialization
Citations

This map shows the geographic impact of T. Sutojo'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 T. Sutojo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Sutojo more than expected).

Fields of papers citing papers by T. Sutojo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Sutojo. 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 T. Sutojo. The network helps show where T. Sutojo may publish in the future.

Co-authorship network of co-authors of T. Sutojo

This figure shows the co-authorship network connecting the top 25 collaborators of T. Sutojo. A scholar is included among the top collaborators of T. Sutojo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T. Sutojo. T. Sutojo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Akrom, Muhamad, et al.. (2025). SMILES-driven machine learning for high-throughput investigation of anti-corrosion materials. Chemometrics and Intelligent Laboratory Systems. 263. 105441–105441. 1 indexed citations
2.
Sutojo, T., Supriadi Rustad, De Rosal Ignatius Moses Setiadi, et al.. (2025). Acceptable noise level of quantum circuit for encrypting plaintext. Franklin Open. 12. 100348–100348.
3.
Akrom, Muhamad, Supriadi Rustad, T. Sutojo, et al.. (2025). Stacking classical-quantum hybrid learning approach for corrosion inhibition efficiency of N-heterocyclic compounds. Results in Surfaces and Interfaces. 18. 100462–100462.
4.
Akrom, Muhamad, Supriadi Rustad, T. Sutojo, et al.. (2025). A novel quantum-enhanced model cascading approach based on support vector machine in blood-brain barrier permeability prediction. Materials Today Communications. 45. 112341–112341. 1 indexed citations
5.
Akrom, Muhamad, Supriadi Rustad, T. Sutojo, et al.. (2025). Predicting CO2 adsorption in metal-organic frameworks: Integrating machine learning with virtual sample generation. Results in Surfaces and Interfaces. 19. 100505–100505. 1 indexed citations
6.
Setiadi, De Rosal Ignatius Moses, T. Sutojo, Supriadi Rustad, et al.. (2025). Single Qubit Quantum Logistic-Sine XYZ-Rotation Maps: An Ultra-Wide Range Dynamics for Image Encryption. Computers, materials & continua/Computers, materials & continua (Print). 83(2). 2161–2188. 4 indexed citations
7.
Sutojo, T., et al.. (2025). Machine learning-based model for predicting performances of pyridines-quinolines as corrosion inhibitors on iron surfaces. AIP conference proceedings. 3197. 20010–20010. 1 indexed citations
8.
Akrom, Muhamad, Supriadi Rustad, T. Sutojo, et al.. (2024). Quantum machine learning for corrosion resistance in stainless steel. SHILAP Revista de lepidopterología. 3. 100013–100013. 7 indexed citations
11.
Rustad, Supriadi, Muhamad Akrom, T. Sutojo, & Hermawan Kresno Dipojono. (2024). A feature restoration for machine learning on anti-corrosion materials. Case Studies in Chemical and Environmental Engineering. 10. 100902–100902. 6 indexed citations
12.
Setiadi, De Rosal Ignatius Moses, et al.. (2024). Exploring Deep Q-Network for Autonomous Driving Simulation Across Different Driving Modes. 1(3). 217–227.
13.
Akrom, Muhamad, et al.. (2023). Investigation of Best QSPR-Based Machine Learning Model to Predict Corrosion Inhibition Performance of Pyridine-Quinoline Compounds. Journal of Physics Conference Series. 2673(1). 12014–12014. 27 indexed citations
14.
Akrom, Muhamad, et al.. (2023). Optimization of Polynomial Functions on the NuSVR Algorithm Based on Machine Learning: Case Studies on Regression Datasets. Scientific Journal of Informatics. 10(2). 151–158. 11 indexed citations
15.
Sutojo, T., Supriadi Rustad, Muhamad Akrom, et al.. (2023). A machine learning approach for corrosion small datasets. npj Materials Degradation. 7(1). 81 indexed citations
16.
Sutojo, T., et al.. (2014). IDENTIFIKASI DAUN BERDASARKAN FAKTOR KEKOMPAKAN DAN FAKTOR KEBUNDARAN BENTUK DAUN. SHILAP Revista de lepidopterología. 1 indexed citations
17.
Sutojo, T., et al.. (2014). MENERAPKAN LOGIKA FUZZY MAMDANI UNTUK MENENTUKAN HARGA JUAL BATIK. SHILAP Revista de lepidopterología. 5 indexed citations
19.
Sutojo, T., et al.. (2013). Penerapan Logika Fuzzy Mamdani Untuk Menentukan Harga Jual Batik. Techno Com. 13(2). 69–74. 1 indexed citations
20.
Sutojo, T., et al.. (2012). MENENTUKAN HARGA MOBIL BEKAS DENGAN MENGGUNAKAN METODE FUZZY MAMDANI DAN METODE JARINGAN SYARAF TIRUAN. SHILAP Revista de lepidopterología. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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