Irfan Bahiuddin

742 total citations
56 papers, 560 citations indexed

About

Irfan Bahiuddin is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Irfan Bahiuddin has authored 56 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Civil and Structural Engineering, 19 papers in Mechanical Engineering and 17 papers in Biomedical Engineering. Recurrent topics in Irfan Bahiuddin's work include Vibration Control and Rheological Fluids (32 papers), Hydraulic and Pneumatic Systems (11 papers) and Structural Engineering and Vibration Analysis (10 papers). Irfan Bahiuddin is often cited by papers focused on Vibration Control and Rheological Fluids (32 papers), Hydraulic and Pneumatic Systems (11 papers) and Structural Engineering and Vibration Analysis (10 papers). Irfan Bahiuddin collaborates with scholars based in Indonesia, Malaysia and South Korea. Irfan Bahiuddin's co-authors include Saiful Amri Mazlan, Fitrian Imaduddin, Ubaidillah Ubaidillah, Seung‐Bok Choi, Ubaidillah Ubaidillah, Mohd Ibrahim Shapiai, Siti Aishah Abdul Aziz, Mohd Azizi Abdul Rahman, Mohd Hatta Mohammed Ariff and Nurhazimah Nazmi and has published in prestigious journals such as Scientific Reports, IEEE Access and Energy.

In The Last Decade

Irfan Bahiuddin

46 papers receiving 529 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Irfan Bahiuddin Indonesia 15 352 165 136 59 57 56 560
Mooncheol Won South Korea 12 166 0.5× 60 0.4× 115 0.8× 255 4.3× 21 0.4× 62 529
Ratnam Chanamala India 11 78 0.2× 76 0.5× 198 1.5× 23 0.4× 20 0.4× 37 354
M.A. Jarrah Jordan 10 63 0.2× 131 0.8× 107 0.8× 113 1.9× 30 0.5× 29 375
Ali Kamran China 10 64 0.2× 109 0.7× 68 0.5× 22 0.4× 12 0.2× 26 397
Gigih Priyandoko Indonesia 10 229 0.7× 153 0.9× 265 1.9× 123 2.1× 17 0.3× 55 516
Veli Çelik Türkiye 8 31 0.1× 60 0.4× 130 1.0× 110 1.9× 12 0.2× 18 474
Wael Abdelrahman Saudi Arabia 11 115 0.3× 73 0.4× 160 1.2× 43 0.7× 14 0.2× 39 468
Angela Vincenti France 18 423 1.2× 94 0.6× 181 1.3× 45 0.8× 70 1.2× 27 746

Countries citing papers authored by Irfan Bahiuddin

Since Specialization
Citations

This map shows the geographic impact of Irfan Bahiuddin'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 Irfan Bahiuddin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irfan Bahiuddin more than expected).

Fields of papers citing papers by Irfan Bahiuddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irfan Bahiuddin

This figure shows the co-authorship network connecting the top 25 collaborators of Irfan Bahiuddin. A scholar is included among the top collaborators of Irfan Bahiuddin 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 Irfan Bahiuddin. Irfan Bahiuddin 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.
Bahiuddin, Irfan, et al.. (2025). Fine-tuned and explainable machine learning models for temperature-dependent rheological behavior prediction of magnetorheological materials. Neural Computing and Applications. 37(18). 12123–12152.
2.
Bahiuddin, Irfan, et al.. (2025). Machine learning-based surface roughness prediction in magnetorheological finishing of polyamide influenced by initial conditions. Journal of Manufacturing Processes. 145. 440–453. 4 indexed citations
3.
Nazmi, Nurhazimah, et al.. (2025). Roles of Vibration-Based Machine Learning Algorithms in Railway Vehicle Monitoring for Track Condition Assessment: A Review. Journal of Vibration Engineering & Technologies. 13(4). 2 indexed citations
4.
Bahiuddin, Irfan, et al.. (2024). Entropy and K-Nearest Neighbors-Based Feature Extraction for Bearing Fault Detection. Kinetik Game Technology Information System Computer Network Computing Electronics and Control. 1 indexed citations
5.
Ariff, Mohd Hatta Mohammed, Irfan Bahiuddin, Nurhazimah Nazmi, et al.. (2024). A Comparative Study on Various ANN Optimization Algorithms for Magnetorheological Elastomer Carbonyl Iron Particle Concentration Estimation. 16(1). 124–133.
6.
Aziz, Siti Aishah Abdul, Saiful Amri Mazlan, Mohd Aidy Faizal Johari, et al.. (2023). Magnetostriction Enhancement in Midrange Modulus Magnetorheological Elastomers for Sensor Applications. Micromachines. 14(4). 767–767. 12 indexed citations
7.
8.
Nazmi, Nurhazimah, et al.. (2022). Force Sensing Performance of Hydrogel-based Magnetorheological Plastomers with Graphite. 264–269. 3 indexed citations
9.
10.
Bahiuddin, Irfan, Fitrian Imaduddin, Saiful Amri Mazlan, et al.. (2021). A machine learning approach to estimate magnetorheological suspension composition based on magnetic field dependent-rheological properties. Smart Materials and Structures. 30(10). 105013–105013. 9 indexed citations
11.
Yunus, Nurul Azhani, et al.. (2021). Effects of Petroleum-Based Oils as Dispersing Aids on Physicochemical Characteristics of Magnetorheological Elastomers. Materials. 14(22). 7026–7026. 2 indexed citations
12.
Bahiuddin, Irfan, Saiful Amri Mazlan, Mohd Ibrahim Shapiai, et al.. (2020). Field Dependent-Shear Stress Prediction of Magnetorheological Fluid Using an Optimum Extreme Learning Machine Model. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences. 70(2). 89–96. 3 indexed citations
13.
Shabdin, Muhammad Kashfi, Saiful Amri Mazlan, Mohd Azizi Abdul Rahman, et al.. (2020). Tunable low range Gr induced magnetorheological elastomer with magnetically conductive feedback. Smart Materials and Structures. 29(5). 57001–57001. 10 indexed citations
14.
Ariff, Mohd Hatta Mohammed, et al.. (2020). Constitutive models for predicting field-dependent viscoelastic behavior of magnetorheological elastomer using machine learning. Smart Materials and Structures. 29(8). 87001–87001. 19 indexed citations
15.
Nazmi, Nurhazimah, Mohd Azizi Abdul Rahman, Saiful Amri Mazlan, et al.. (2020). Analysis of EMG Signals during Stance and Swing Phases for Controlling Magnetorheological Brake applications. Open Engineering. 11(1). 112–119. 4 indexed citations
16.
Mazlan, Saiful Amri, Ubaidillah Ubaidillah, Siti Aishah Abdul Aziz, et al.. (2020). The Rheological Studies on Poly(vinyl) Alcohol-Based Hydrogel Magnetorheological Plastomer. Polymers. 12(10). 2332–2332. 18 indexed citations
17.
Nazmi, Nurhazimah, Irfan Bahiuddin, Ubaidillah Ubaidillah, et al.. (2019). A Review on the Control of the Mechanical Properties of Ankle Foot Orthosis for Gait Assistance. Actuators. 8(1). 10–10. 31 indexed citations
18.
Shabdin, Muhammad Kashfi, Mohd Azizi Abdul Rahman, Saiful Amri Mazlan, et al.. (2019). Material Characterizations of Gr-Based Magnetorheological Elastomer for Possible Sensor Applications: Rheological and Resistivity Properties. Materials. 12(3). 391–391. 53 indexed citations
19.
Ubaidillah, Ubaidillah, Saiful Amri Mazlan, Fitrian Imaduddin, et al.. (2018). Material Characterization of a Magnetorheological Fluid Subjected to Long-Term Operation in Damper. Materials. 11(11). 2195–2195. 37 indexed citations
20.

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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