Moh Yaseen
About
Moh Yaseen is a scholar working on Biomedical Engineering, Mechanical Engineering and Computational Mechanics.
According to data from OpenAlex, Moh Yaseen has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Biomedical Engineering, 33 papers in Mechanical Engineering and 22 papers in Computational Mechanics. Recurrent topics in Moh Yaseen's work include Nanofluid Flow and Heat Transfer (38 papers), Heat Transfer Mechanisms (31 papers) and Fluid Dynamics and Turbulent Flows (18 papers). Moh Yaseen is often cited by papers focused on Nanofluid Flow and Heat Transfer (38 papers), Heat Transfer Mechanisms (31 papers) and Fluid Dynamics and Turbulent Flows (18 papers). Moh Yaseen collaborates with scholars based in India, Pakistan and Malaysia. Moh Yaseen's co-authors include Sawan Kumar Rawat, Manoj Kumar, Manish Pant, Sayed M. Eldin, Anum Shafiq, Nehad Ali Shah, Ashish Mishra, Umair Khan, Kamsing Nonlaopon and B. S. Bhadauria and has published in prestigious journals such as Nanotechnology, Journal of Magnetism and Magnetic Materials and Journal of Heat Transfer.
In The Last Decade
Moh Yaseen
35 papers receiving 1.1k citations
Hit Papers
Peers
Moh Yaseen
Sawan Kumar Rawat India
Umar Farooq Pakistan
Subhajit Panda India
S. Manjunatha India
H. Thameem Basha India
B. J. Gireesha India
Maysam Molana United States
A.R. Mogharrebi Iran
Farhad Talebi Iran
Nurul Amira Zainal Malaysia
Citations per year, relative to Moh Yaseen Moh Yaseen (= 1×)
peers
Sawan Kumar Rawat
Countries citing papers authored by Moh Yaseen
Since
Specialization
Citations
This map shows the geographic impact of Moh Yaseen'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 Moh Yaseen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moh Yaseen more than expected).
Fields of papers citing papers by Moh Yaseen
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Moh Yaseen. 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 Moh Yaseen. The network helps show where Moh Yaseen may publish in the future.
Co-authorship network of co-authors of Moh Yaseen
This figure shows the co-authorship network connecting the top 25 collaborators of Moh Yaseen. A scholar is included among the top collaborators of Moh Yaseen 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 Moh Yaseen. Moh Yaseen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Rawat, Sawan Kumar, et al.. (2025). Designing artificial intelligence computing techniques to study heat transfer of a ternary hybrid nanofluid flow: Application of particle swarm optimization and artificial neural network. Modern Physics Letters B. 39(24).
3.
Rawat, Sawan Kumar, et al.. (2025). Application of soft computing for assessment of heat transfer in ternary hybrid nanofluid flow over a rotating disk. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 48(1).
4.
Kumar, B. Rushi, et al.. (2025). Investigation of heat flux and heat source/sink effect on heat transfer ferrofluid (CoFe 2 O 4 -H 2 O) flow in an induced magnetic field with porous medium within the horizontal channel. International Journal of Ambient Energy. 46(1).
5.
Yaseen, Moh, Anum Shafiq, Sawan Kumar Rawat, et al.. (2025). Analysis of entropy generation in tri-hybrid nanofluid flow towards a spinning disk under the influence of hall effect and variable viscosity. International Journal of Thermofluids. 27. 101252–101252.
6.
Yaseen, Moh, et al.. (2025). Nanoparticle aggregation impact on nanofluid flow in a rotating horizontal annulus: application of particle swarm optimization and artificial neural network. Journal of the Korean Physical Society. 87(12). 1449–1473.
7.
Yaseen, Moh, et al.. (2024). Artificial Neural Network with Levenberg-Marquardt Training Algorithm for Heat Transfer Analysis of Ag-TiO2/water Hybrid Nanofluid Flow Between Two Parallel Rotating Disks. International Journal of Mathematical Engineering and Management Sciences. 9(4). 714–736.
8.
Ismail, Ismail, B. S. Bhadauria, Moh Yaseen, Sawan Kumar Rawat, & Manish Pant. (2024). Designing machine learning based intelligent network for assessment of heat transfer performance of ternary hybrid nanofluid flow between a cone and a disk: Case of MLP feed forward neural network. Computers & Mathematics with Applications. 169. 17–38.
9.
Yaseen, Moh, et al.. (2024). Insights into the Significance of Ternary Hybrid Nanofluid Flow Between Two Rotating Disks in the Presence of Gyrotactic Microorganisms. NANO. 20(3).
10.
Yaseen, Moh, Sawan Kumar Rawat, Umair Khan, et al.. (2023). Computational analysis of heat and mass transfer flow of wall jet hybrid nanofluid with irregular heat source/sink effects and waste discharge concentration. Journal of Magnetism and Magnetic Materials. 588. 171434–171434.
11.
Ismail, Ismail, et al.. (2023). Thermal instability of Tri-hybrid Casson nanofluid with thermal radiation saturated porous medium in different enclosures. Chinese Journal of Physics. 87. 710–727.
12.
Yaseen, Moh, Sawan Kumar Rawat, Nehad Ali Shah, Manoj Kumar, & Sayed M. Eldin. (2023). Ternary Hybrid Nanofluid Flow Containing Gyrotactic Microorganisms over Three Different Geometries with Cattaneo–Christov Model. Mathematics. 11(5). 1237–1237.
13.
Kumar, Manoj, et al.. (2023). Ternary hybrid nanofluid (TiO2−SiO2−MoS2/kerosene oil) flow over a rotating disk with quadratic thermal radiation and Cattaneo-Christov model. Journal of Central South University. 30(4). 1262–1278.
14.
Kumar, Manoj, et al.. (2023). Insight into influence of thermal radiation and Cattaneo–Christov model on ternary hybrid nanofluid (TiO 2 –Al 2 O 3 –MoS 2 /kerosene oil) and hybrid nanofluid (TiO 2 –Al 2 O 3 /kerosene oil) flow and heat transfer over a stretching sheet. Numerical Heat Transfer Part A Applications. 85(21). 3627–3647.
15.
Rawat, Sawan Kumar, et al.. (2023). Designing soft computing algorithms to study heat transfer simulation of ternary hybrid nanofluid flow between parallel plates in a parabolic trough solar collector: Case of artificial neural network and particle swarm optimization. International Communications in Heat and Mass Transfer. 148. 107011–107011.
16.
Mishra, Ashish, Sawan Kumar Rawat, Moh Yaseen, & Manish Pant. (2023). Development of machine learning algorithm for assessment of heat transfer of ternary hybrid nanofluid flow towards three different geometries: Case of artificial neural network. Heliyon. 9(11). e21453–e21453.
17.
Kumar, Ashok, et al.. (2023). Effects of heat source on the stagnation point flow of a nanofluid over a stretchable sheet with magnetic field and zero mass flux at the surface. Forces in Mechanics. 11. 100190–100190.
18.
Yaseen, Moh, Sawan Kumar Rawat, Umair Khan, et al.. (2023). Numerical analysis of magnetohydrodynamics in an Eyring–Powell hybrid nanofluid flow on wall jet heat and mass transfer. Nanotechnology. 34(48). 485405–485405.
19.
Rawat, Sawan Kumar, Moh Yaseen, Umair Khan, et al.. (2023). Significance of non-uniform heat source/sink and cattaneo-christov model on hybrid nanofluid flow in a Darcy-forchheimer porous medium between two parallel rotating disks. Frontiers in Materials. 9.
20.
Yaseen, Moh, Sawan Kumar Rawat, Anum Shafiq, Manoj Kumar, & Kamsing Nonlaopon. (2022). Analysis of Heat Transfer of Mono and Hybrid Nanofluid Flow between Two Parallel Plates in a Darcy Porous Medium with Thermal Radiation and Heat Generation/Absorption. Symmetry. 14(9). 1943–1943.
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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