Md Nasir Uddin

464 total citations
19 papers, 333 citations indexed

About

Md Nasir Uddin is a scholar working on Civil and Structural Engineering, Building and Construction and Automotive Engineering. According to data from OpenAlex, Md Nasir Uddin has authored 19 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Civil and Structural Engineering, 11 papers in Building and Construction and 2 papers in Automotive Engineering. Recurrent topics in Md Nasir Uddin's work include Innovative concrete reinforcement materials (15 papers), Concrete and Cement Materials Research (9 papers) and Structural Behavior of Reinforced Concrete (6 papers). Md Nasir Uddin is often cited by papers focused on Innovative concrete reinforcement materials (15 papers), Concrete and Cement Materials Research (9 papers) and Structural Behavior of Reinforced Concrete (6 papers). Md Nasir Uddin collaborates with scholars based in China, United States and Hong Kong. Md Nasir Uddin's co-authors include Lingzhi Li, Bo-Yu Deng, Kequan Yu, Junhong Ye, Ziwei Cai, S. Praveenkumar, T. Tafsirojjaman, Lingzhi Li, Timon Rabczuk and Muhammad Akbar and has published in prestigious journals such as Cement and Concrete Composites, Engineering Fracture Mechanics and Journal of Building Engineering.

In The Last Decade

Md Nasir Uddin

15 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Md Nasir Uddin China 10 272 190 36 27 23 19 333
Yalin Liu China 12 361 1.3× 92 0.5× 19 0.5× 13 0.5× 38 1.7× 38 443
Priyo Suprobo Indonesia 13 476 1.8× 334 1.8× 15 0.4× 8 0.3× 31 1.3× 88 533
O.L. Oke Nigeria 7 247 0.9× 194 1.0× 7 0.2× 11 0.4× 24 1.0× 9 337
Suniti Suparp Thailand 11 359 1.3× 290 1.5× 8 0.2× 12 0.4× 24 1.0× 29 421
Kavya Vallurupalli United States 4 301 1.1× 214 1.1× 49 1.4× 7 0.3× 8 0.3× 8 355
Veerappan Sathish Kumar India 12 247 0.9× 126 0.7× 7 0.2× 21 0.8× 18 0.8× 22 303
Jan Bielak Germany 12 409 1.5× 350 1.8× 19 0.5× 8 0.3× 43 1.9× 34 465
Fahad Alsharari Saudi Arabia 11 300 1.1× 185 1.0× 6 0.2× 14 0.5× 18 0.8× 29 360

Countries citing papers authored by Md Nasir Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Md Nasir Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md Nasir Uddin. 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 Md Nasir Uddin. The network helps show where Md Nasir Uddin may publish in the future.

Co-authorship network of co-authors of Md Nasir Uddin

This figure shows the co-authorship network connecting the top 25 collaborators of Md Nasir Uddin. A scholar is included among the top collaborators of Md Nasir Uddin 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 Md Nasir Uddin. Md Nasir Uddin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Hasan, Muhammad, et al.. (2025). An interpretable machine learning approach to predict the compressive strength of fly ash-based geopolymer concrete. Innovative Infrastructure Solutions. 10(11).
2.
3.
Ye, Junhong, et al.. (2024). A data-driven approach to predicting multifactor-influenced flexural size effect and fracture behaviors of concrete. Engineering Fracture Mechanics. 315. 110794–110794.
4.
Uddin, Md Nasir, et al.. (2024). Prediction of compressive strength and tensile strain of engineered cementitious composite using machine learning. International Journal of Mechanics and Materials in Design. 20(4). 671–716. 18 indexed citations
5.
Uddin, Md Nasir, Junhong Ye, M. Aminul Haque, Kequan Yu, & Lingzhi Li. (2024). A novel compressive strength estimation approach for 3D printed fiber-reinforced concrete: integrating machine learning and gene expression programming. Multiscale and Multidisciplinary Modeling Experiments and Design. 7(5). 4889–4910. 6 indexed citations
6.
7.
Uddin, Md Nasir, et al.. (2023). Prediction of shear behavior of glass FRP bars-reinforced ultra-highperformance concrete I-shaped beams using machine learning. International Journal of Mechanics and Materials in Design. 20(2). 269–290. 28 indexed citations
8.
Uddin, Md Nasir, Junhong Ye, Bo-Yu Deng, Lingzhi Li, & Kequan Yu. (2023). Interpretable machine learning for predicting the strength of 3D printed fiber-reinforced concrete (3DP-FRC). Journal of Building Engineering. 72. 106648–106648. 60 indexed citations
9.
Uddin, Md Nasir, et al.. (2023). Prediction of compressive strength ultra-high steel fiber reinforced concrete (UHSFRC) using artificial neural networks (ANNs). Materials Today Proceedings. 14 indexed citations
10.
Uddin, Md Nasir, Lingzhi Li, Bo-Yu Deng, & Junhong Ye. (2023). Interpretable XGBoost–SHAP machine learning technique to predict the compressive strength of environment-friendly rice husk ash concrete. Innovative Infrastructure Solutions. 8(5). 19 indexed citations
11.
Uddin, Md Nasir, et al.. (2023). Prediction of rheological parameters of 3D printed polypropylene fiber-reinforced concrete (3DP-PPRC) by machine learning. Materials Today Proceedings. 13 indexed citations
12.
Uddin, Md Nasir, et al.. (2023). Prediction of compressive strength fiber-reinforced geopolymer concrete (FRGC) using gene expression programming (GEP). Materials Today Proceedings. 12 indexed citations
13.
Uddin, Md Nasir, et al.. (2022). Smart self-healing bacterial concrete for sustainable goal. Innovative Infrastructure Solutions. 8(1). 20 indexed citations
14.
Uddin, Md Nasir, et al.. (2022). Prediction of PVA fiber effect in Engineered Composite cement (ECC) by Artificial neural Network (ANN). Materials Today Proceedings. 65. 537–542. 27 indexed citations
15.
Deng, Bo-Yu, et al.. (2022). Sustainable and cost-effective ultra-lightweight engineered cementitious composite: Design and material characterization. Cement and Concrete Composites. 136. 104895–104895. 93 indexed citations
16.
Uddin, Md Nasir, et al.. (2022). Finite Element Analysis of Local Pressure Failure Mechanism of RPC. Report. 22. 686–694.
17.
Uddin, Md Nasir, et al.. (2022). Developing machine learning model to estimate the shear capacity for RC beams with stirrups using standard building codes. Innovative Infrastructure Solutions. 7(3). 8 indexed citations
18.
Saha, Gopal, et al.. (2021). Prevalence of Thyroid Dysfunction in Type 2 Diabetes Mellitus. Journal of Dhaka Medical College. 29(2). 149–152.
19.
Ghosh, Debabrata, et al.. (2014). Assessment of risk factors of multidrug resistant tuberculosis with emphasis on serum zinc. Bangladesh Medical Journal. 43(1). 3–8. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yalin Liu Breakdown of academic impact, for papers by Priyo Suprobo Breakdown of academic impact, for papers by O.L. Oke Breakdown of academic impact, for papers by Suniti Suparp Breakdown of academic impact, for papers by Kavya Vallurupalli Breakdown of academic impact, for papers by Veerappan Sathish Kumar Breakdown of academic impact, for papers by Jan Bielak Breakdown of academic impact, for papers by Fahad Alsharari
Rankless by CCL
2026