Shan Ali Khan

1.7k total citations
82 papers, 1.4k citations indexed

About

Shan Ali Khan is a scholar working on Biomedical Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Shan Ali Khan has authored 82 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Biomedical Engineering, 73 papers in Mechanical Engineering and 39 papers in Computational Mechanics. Recurrent topics in Shan Ali Khan's work include Nanofluid Flow and Heat Transfer (75 papers), Heat Transfer Mechanisms (60 papers) and Heat Transfer and Optimization (29 papers). Shan Ali Khan is often cited by papers focused on Nanofluid Flow and Heat Transfer (75 papers), Heat Transfer Mechanisms (60 papers) and Heat Transfer and Optimization (29 papers). Shan Ali Khan collaborates with scholars based in Pakistan, Saudi Arabia and China. Shan Ali Khan's co-authors include Hassan Waqas, Taseer Muhammad, Muhammad Imran, Umar Farooq, Sumeira Yasmin, Sadiq M. Sait, R. Ellahi, Yu‐Ming Chu, M. Ijaz Khan and Sami Ullah Khan and has published in prestigious journals such as Scientific Reports, Energy and Solar Energy Materials and Solar Cells.

In The Last Decade

Shan Ali Khan

73 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shan Ali Khan Pakistan 21 1.2k 996 730 121 70 82 1.4k
Umar Farooq Pakistan 23 1.2k 1.0× 917 0.9× 732 1.0× 91 0.8× 73 1.0× 41 1.3k
Himanshu Upreti India 25 1.6k 1.4× 1.2k 1.2× 1.1k 1.5× 105 0.9× 111 1.6× 60 1.7k
Faisal Shahzad Pakistan 26 1.3k 1.1× 1.0k 1.1× 734 1.0× 300 2.5× 66 0.9× 38 1.4k
W. Farooq Pakistan 18 1.0k 0.9× 690 0.7× 626 0.9× 74 0.6× 113 1.6× 62 1.1k
E.O. Fatunmbi Nigeria 20 1.1k 0.9× 766 0.8× 616 0.8× 110 0.9× 94 1.3× 66 1.1k
Sohail A. Khan Pakistan 22 1.4k 1.2× 1.1k 1.1× 992 1.4× 62 0.5× 105 1.5× 78 1.5k
Rachid Sehaqui Morocco 20 1.6k 1.4× 1.3k 1.3× 1.2k 1.6× 89 0.7× 123 1.8× 47 1.7k
Khursheed Muhammad Pakistan 30 1.7k 1.4× 1.4k 1.4× 979 1.3× 112 0.9× 164 2.3× 64 1.8k
S. V. K. Varma India 20 1.3k 1.1× 988 1.0× 1.0k 1.4× 46 0.4× 63 0.9× 136 1.4k

Countries citing papers authored by Shan Ali Khan

Since Specialization
Citations

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

Fields of papers citing papers by Shan Ali Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shan Ali Khan. 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 Shan Ali Khan. The network helps show where Shan Ali Khan may publish in the future.

Co-authorship network of co-authors of Shan Ali Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Ali Khan. A scholar is included among the top collaborators of Shan Ali Khan 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 Shan Ali Khan. Shan Ali Khan 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.
Alhushaybari, Abdullah, Shan Ali Khan, Umar Farooq, et al.. (2025). Thermal management analysis of thermal radiation effect on mixed convective casson fluid inside wavy wall lid-driven cavity with diamond-shaped obstacles. Journal of Radiation Research and Applied Sciences. 18(3). 101808–101808.
2.
Aziz, Shahid, Umar Farooq, Shan Ali Khan, et al.. (2025). Computational analysis for thermal radiation and heat Source–Sink on ternary hybrid nanofluid flow with Cattaneo–Christov heat flux over a stretching surface. Journal of Radiation Research and Applied Sciences. 18(3). 101565–101565. 2 indexed citations
3.
Khan, Shan Ali, et al.. (2025). Enhancing latent heat storage: Impact of geometric modifications, S-shaped enclosure walls, and L-shaped fins. Materials Today Sustainability. 30. 101114–101114. 5 indexed citations
5.
Khan, Shan Ali, et al.. (2025). Thermal optimization of PCM-based storage systems using L-shaped fins: A numerical and RSM-based approach. Energy. 336. 138309–138309. 2 indexed citations
6.
Farooq, Umar, Muhammad Imran, Shan Ali Khan, et al.. (2025). Thermal radiation effect on SiO2–MoS2/Water hybrid nanofluids with Darcy–Forchheimer flow with Cattaneo–Christov heat flux over a permeable surface. Journal of Radiation Research and Applied Sciences. 18(4). 101914–101914. 1 indexed citations
7.
Khan, Shan Ali, et al.. (2025). Investigation on enhancing thermal energy storage performance of a phase change material in triplex tube heat exchangers with novel fins configuration. International Communications in Heat and Mass Transfer. 167. 109265–109265. 1 indexed citations
8.
Khan, Shan Ali, et al.. (2025). Investigation and optimization of Shell-and-tube thermal energy storage unit with biomimetic leaf-vein fins and carbon nanotubes for superior PCM efficiency. International Communications in Heat and Mass Transfer. 167. 109250–109250. 1 indexed citations
9.
Imran, Muhammad, et al.. (2025). Numerical computation of thermal radiation effect in electrically magnetized tri-hybrid nanofluid flow across rotating disk. Journal of Radiation Research and Applied Sciences. 18(4). 102013–102013. 1 indexed citations
11.
Li, Wei, et al.. (2024). Computational analysis for efficient thermal transportation of ternary hybrid nanofluid flow across a stretching sheet with Cattaneo-Christov heat flux model. Case Studies in Thermal Engineering. 66. 105706–105706. 13 indexed citations
12.
Said, Lotfi Ben, Shan Ali Khan, Umar Farooq, et al.. (2024). Application of Box-Behnken design with RSM to predict the heat transfer performance of thermo-magnetic convection of hybrid nanofluid inside a novel oval-shaped annulus enclosure. Case Studies in Thermal Engineering. 61. 105010–105010. 3 indexed citations
13.
Asjad, Muhammad Imran, et al.. (2024). Numerical investigation of bioconvective non-Newtonian nanofluid flow across a curved surface in the presence of microbes. Case Studies in Thermal Engineering. 64. 105308–105308. 3 indexed citations
16.
Khan, Shan Ali, Sumeira Yasmin, Muhammad Imran, et al.. (2023). Computational analysis of natural convection with water based nanofluid in a square cavity with partially active side walls: Applications to thermal storage. Journal of Molecular Liquids. 382. 122003–122003. 14 indexed citations
17.
Imran, Muhammad, et al.. (2023). Use of Au-Zn/blood hybrid nano-fluid flow for drug delivery through the human circulatory system. Waves in Random and Complex Media. 36(2). 2223–2240. 5 indexed citations
18.
Basit, Muhammad Abdul, Muhammad Imran, Shan Ali Khan, et al.. (2023). Partial differential equations modeling of bio-convective sutterby nanofluid flow through paraboloid surface. Scientific Reports. 13(1). 6152–6152. 39 indexed citations
19.
Waqas, Hassan, Shan Ali Khan, Taseer Muhammad, & Sumeira Yasmin. (2021). Convective heat transfer in magnetized flow of nanofluids between two rotating parallel disks. International Journal of Chemical Reactor Engineering. 20(4). 411–422. 4 indexed citations
20.
Farooq, Umar, Hassan Waqas, Taseer Muhammad, & Shan Ali Khan. (2021). Heat transfer enhancement of hybrid nanofluids over porous cone. International Journal of Chemical Reactor Engineering. 20(4). 465–473. 10 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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