Dilsora Abduvalieva

776 total citations
86 papers, 435 citations indexed

About

Dilsora Abduvalieva is a scholar working on Biomedical Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Dilsora Abduvalieva has authored 86 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Biomedical Engineering, 43 papers in Mechanical Engineering and 25 papers in Computational Mechanics. Recurrent topics in Dilsora Abduvalieva's work include Nanofluid Flow and Heat Transfer (37 papers), Heat Transfer Mechanisms (22 papers) and Fluid Dynamics and Turbulent Flows (14 papers). Dilsora Abduvalieva is often cited by papers focused on Nanofluid Flow and Heat Transfer (37 papers), Heat Transfer Mechanisms (22 papers) and Fluid Dynamics and Turbulent Flows (14 papers). Dilsora Abduvalieva collaborates with scholars based in Uzbekistan, Saudi Arabia and India. Dilsora Abduvalieva's co-authors include M. Ijaz Khan, Fuad A. Awwad, Emad A. A. Ismail, Vediyappan Govindan, Munawar Abbas, Hakim AL Garalleh, M. Rafiq, Yasser Fouad, Mohammad Sohail and M. Ijaz Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Hydrogen Energy.

In The Last Decade

Dilsora Abduvalieva

74 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dilsora Abduvalieva Uzbekistan 11 225 215 137 82 69 86 435
Yongqiang Qiao China 17 99 0.4× 251 1.2× 96 0.7× 316 3.9× 237 3.4× 37 660
Po‐Jen Cheng Taiwan 13 110 0.5× 50 0.2× 92 0.7× 63 0.8× 129 1.9× 41 441
Raja Sekhar Dondapati India 13 259 1.2× 199 0.9× 52 0.4× 53 0.6× 102 1.5× 55 451
W. Escher Switzerland 10 285 1.3× 536 2.5× 82 0.6× 106 1.3× 219 3.2× 17 856
Wen‐Jenn Sheu Taiwan 14 152 0.7× 407 1.9× 216 1.6× 110 1.3× 105 1.5× 41 698
Wenhua Yu China 7 578 2.6× 478 2.2× 323 2.4× 62 0.8× 59 0.9× 15 738
Tiechuan Li China 11 645 2.9× 167 0.8× 135 1.0× 32 0.4× 176 2.6× 13 827
K. Chandrasekaran India 12 122 0.5× 274 1.3× 60 0.4× 82 1.0× 65 0.9× 39 454
Gufran S. Khan India 13 237 1.1× 174 0.8× 90 0.7× 69 0.8× 108 1.6× 64 459
Gongyue Tang Singapore 15 499 2.2× 280 1.3× 95 0.7× 46 0.6× 441 6.4× 69 907

Countries citing papers authored by Dilsora Abduvalieva

Since Specialization
Citations

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

Fields of papers citing papers by Dilsora Abduvalieva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dilsora Abduvalieva

This figure shows the co-authorship network connecting the top 25 collaborators of Dilsora Abduvalieva. A scholar is included among the top collaborators of Dilsora Abduvalieva 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 Dilsora Abduvalieva. Dilsora Abduvalieva 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.
Nazeer, Mubbashar, Ali B.M. Ali, F. F. Alharbi, et al.. (2025). Thermal analysis of fluid-particle suspension flow of non-Newtonian fluid through complex geometry: Applications of thermal transport in mechanical and biomedical engineering. International Communications in Heat and Mass Transfer. 168. 109434–109434. 3 indexed citations
2.
Abbas, Shajar, Muhammad Ramzan, S. Saleem, et al.. (2025). Impact of thermal radiation on fractional viscoelastic nanofluid flow with joint heat mass transfer using a neural network based approach. Journal of Radiation Research and Applied Sciences. 18(3). 101640–101640.
3.
Ahmad, Manzoor, Sami Ullah Khan, Adnan Abbasi, et al.. (2025). Analytical simulations for rate type nanomaterial stretching flow with dual convection. Partial Differential Equations in Applied Mathematics. 13. 101081–101081. 1 indexed citations
4.
Zaman, Abid, Muhammad Kamran, Asad Ali, et al.. (2025). Structural, optical, thermal, and dielectric properties of the double perovskite Sr2FeMoO6 for wireless applications. Ceramics International. 51(26). 48644–48654.
5.
Almohsen, Bandar, et al.. (2025). Performance-based comparison of Yamada–Ota and Xue models for radiative flow of dusty Ellis trihybrid nanofluid with Dufour-Soret effects. Advances in Mechanical Engineering. 17(3). 6 indexed citations
6.
Shaheen, Muhammad Ashraf, Mehreen Fiza, Hakeem Ullah, et al.. (2025). SIGNIFICANCE OF CHEMICAL REACTION AND HEAT TRANSFER IN HYBRID NANOFLUID OVER VERTICAL POROUS SURFACE WITH VARIABLE VISCOSITY. Fractals. 33(10). 1 indexed citations
7.
Taheri, Morteza, et al.. (2025). Processing of IN625-ZrB2 composite coating by laser cladding through optimization and definition of line energy and powder feeding density parameters. Materials Today Communications. 46. 112838–112838. 2 indexed citations
8.
Hsu, Chou‐Yi, et al.. (2025). Biosurfactants: Properties, applications and emerging trends. South African Journal of Chemical Engineering. 53. 21–39. 3 indexed citations
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Mahariq, Ibrahim, Mehreen Fiza, Hakeem Ullah, et al.. (2025). A NEW RECURRENT NEURAL NETWORK METHOD TO MELTING HEAT TRANSFER ANALYSIS ON MHD DARCY–FORCHHEIMER HYBRID NANOFLUID FLOW IN A POROUS MEDIUM. Fractals. 33(10). 1 indexed citations
12.
Mahariq, Ibrahim, Mehreen Fiza, Hakeem Ullah, et al.. (2025). INTELLIGENT COMPUTING OF NUMERICAL TREATMENT OF MODEL OF HEAT TRANSFER OF MICROPOLAR FLUID THROUGH A POROUS MEDIUM WITH RADIATION. Fractals. 33(10). 2 indexed citations
13.
Abbas, Munawar, Hamdi Ayed, Abir Mouldi, et al.. (2024). Numerical simulation of Stephan blowing impacts on thermally laminated 3D flow of MHD trihybrid nanofluid with Soret and Dufour effects. Case Studies in Thermal Engineering. 66. 105460–105460. 21 indexed citations
14.
Ali, Ali B.M., et al.. (2024). Numerical study of changes in the mechanical and thermal property of porous silicon sample with increasing initial temperature: A molecular dynamics approach. International Communications in Heat and Mass Transfer. 159. 108339–108339. 1 indexed citations
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Ali, Qasim, Sami Ullah Khan, Adnan Abbasi, et al.. (2024). Thermal analysis for convective transport of nanoparticles with effective phenomenon of damped shear-thermal flux: A fractional model. Partial Differential Equations in Applied Mathematics. 12. 101017–101017. 2 indexed citations
17.
Abbas, Shajar, Muhammad Ramzan, S. Saleem, et al.. (2024). Analysis of fractionalized Brinkman flow in the presence of diffusion effect. Scientific Reports. 14(1). 22507–22507. 14 indexed citations
18.
Haq, Fazal, et al.. (2024). Comparison of Approximate Analytical and Numerical Solutions of the Allen Cahn Equation. International Journal of Differential Equations. 2024. 1–9. 4 indexed citations
19.
Abduvalieva, Dilsora, et al.. (2023). Magnetic properties of soft magnetic composites used in electromechanical engineering. SHILAP Revista de lepidopterología. 383. 4047–4047. 1 indexed citations
20.
Pasha, Amjad Ali, Mohammad Sohail, Nasir Rahman, et al.. (2023). Computational study of the physical characteristics of Si-based oxide perovskites for energy generation using DFT. Materials Advances. 4(24). 6645–6654. 19 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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