Ping Lin

2.9k total citations
132 papers, 2.3k citations indexed

About

Ping Lin is a scholar working on Computational Mechanics, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Ping Lin has authored 132 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computational Mechanics, 33 papers in Biomedical Engineering and 21 papers in Mechanical Engineering. Recurrent topics in Ping Lin's work include Nanofluid Flow and Heat Transfer (25 papers), Advanced Numerical Methods in Computational Mathematics (21 papers) and Computational Fluid Dynamics and Aerodynamics (15 papers). Ping Lin is often cited by papers focused on Nanofluid Flow and Heat Transfer (25 papers), Advanced Numerical Methods in Computational Mathematics (21 papers) and Computational Fluid Dynamics and Aerodynamics (15 papers). Ping Lin collaborates with scholars based in China, United Kingdom and United States. Ping Lin's co-authors include Jinsong Hua, Yangfan Wang, John Lowengrub, Chun Liu, Liancun Zheng, Linshan Wang, Abuzar Ghaffari, Usman Usman, Mitchell D. Smooke and Emanuele Trucco and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Biochemical and Biophysical Research Communications.

In The Last Decade

Ping Lin

126 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Lin China 26 1.2k 517 447 360 207 132 2.3k
Robert Connelly United States 24 489 0.4× 398 0.8× 1000 2.2× 859 2.4× 237 1.1× 83 3.4k
Mihir Sen United States 34 1.3k 1.2× 1.3k 2.5× 1.9k 4.2× 257 0.7× 223 1.1× 195 3.9k
Damir Jurić France 21 2.9k 2.5× 754 1.5× 440 1.0× 408 1.1× 401 1.9× 79 3.5k
H.M. Thompson United Kingdom 32 1.1k 1.0× 484 0.9× 1.2k 2.7× 431 1.2× 441 2.1× 133 2.9k
Diego Maza Spain 30 2.0k 1.7× 373 0.7× 211 0.5× 537 1.5× 82 0.4× 88 3.1k
Chun‐Hui He China 38 288 0.2× 653 1.3× 267 0.6× 177 0.5× 363 1.8× 93 3.7k
Mario Di Paola Italy 38 320 0.3× 651 1.3× 599 1.3× 833 2.3× 151 0.7× 194 5.1k
Peter K. Jimack United Kingdom 24 902 0.8× 127 0.2× 286 0.6× 432 1.2× 143 0.7× 130 1.8k
Lin Fu China 30 1.9k 1.6× 263 0.5× 631 1.4× 152 0.4× 454 2.2× 230 3.5k

Countries citing papers authored by Ping Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ping Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Lin. A scholar is included among the top collaborators of Ping Lin 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 Ping Lin. Ping Lin 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.
Rong, Zhili, et al.. (2025). A novel distributed-order time fractional derivative model of laser-induced thermal therapy for deep-lying tumor. Computers & Mathematics with Applications. 184. 107–115.
2.
Zhao, Weifeng, et al.. (2024). An automatic approach for the stability analysis of multi-relaxation-time lattice Boltzmann models. Journal of Computational Physics. 519. 113432–113432. 1 indexed citations
3.
Lin, Ping, et al.. (2024). Distinguishing Difficulty Imbalances in Strawberry Ripeness Instances in a Complex Farmland Environment. Applied Sciences. 14(22). 10690–10690. 3 indexed citations
4.
Wei, Tengda, et al.. (2024). Finite-Time Boundedness of Impulsive Delayed Reaction–Diffusion Stochastic Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 4794–4804. 7 indexed citations
5.
6.
Lin, Ping, Grant T McIntyre, Ahmed El‐Angbawi, et al.. (2021). Development of intra-oral automated landmark recognition (ALR) for dental and occlusal outcome measurements. European Journal of Orthodontics. 44(1). 43–50. 12 indexed citations
7.
Usman, Usman, Ping Lin, & Abuzar Ghaffari. (2021). Heat and mass transfer in a steady flow of Sutterby nanofluid over the surface of a stretching wedge. Physica Scripta. 96(6). 65003–65003. 30 indexed citations
8.
Usman, Usman, Ping Lin, Abuzar Ghaffari, & Irfan Mustafa. (2020). Similarity Solution of the Partial Differential Equations that model water/magnetite nanofluid flow and heat transfer on a stretchable rotating disk subject to thermal radiation and Lorentz force. Numerical Methods for Partial Differential Equations. 14 indexed citations
9.
Lin, Ping, et al.. (2020). Practical Exponential Stability of Impulsive Stochastic Reaction–Diffusion Systems With Delays. IEEE Transactions on Cybernetics. 52(5). 2687–2697. 20 indexed citations
10.
Usman, Usman, Ping Lin, Abuzar Ghaffari, & Irfan Mustafa. (2020). A theoretical analysis of steady three-dimensional flow and heat transfer of Power-Law nanofluid over a stretchable rotating disk filled with gyrotactic microorganisms. Physica Scripta. 96(1). 15008–15008. 22 indexed citations
11.
Lin, Ping, et al.. (2019). Artificial intelligence classification of wetland vegetation morphology based on deep convolutional neural network. Natural Resource Modeling. 33(1). 8 indexed citations
12.
Liu, Chunyan, Fan Yu, & Ping Lin. (2019). Numerical investigation of a fractional diffusion model on circular comb-inward structure. Applied Mathematics Letters. 100. 106053–106053. 3 indexed citations
13.
Ma, Xinhui, et al.. (2019). A 3D cephalometric protocol for the accurate quantification of the craniofacial symmetry and facial growth. Journal of Biological Engineering. 13(1). 42–42. 27 indexed citations
14.
Sun, Yanxiao, Ping Lin, & Lin Li. (2019). Temporal stability analysis for multiple similarity solutions of viscous incompressible flows in porous channels with moving walls. Applied Mathematical Modelling. 77. 738–755. 3 indexed citations
15.
Calixto, Cristiane P. G., Nikoleta A. Τzioutziou, Ping Lin, et al.. (2017). Evaluation and improvement of the regulatory inference for large co-expression networks with limited sample size. BMC Systems Biology. 11(1). 62–62. 13 indexed citations
16.
17.
Wang, Chao, et al.. (2015). The exterior unsteady viscous flow and heat transfer due to a porous expanding or contracting cylinder. Bio-Medical Materials and Engineering. 26(1_suppl). S279–85. 14 indexed citations
18.
Lin, Ping, et al.. (2010). Sonographic Findings of the Diffuse Sclerosing Variant of Papillary Carcinoma of the Thyroid. Journal of Ultrasound in Medicine. 29(8). 1223–1226. 21 indexed citations
19.
Glowinski, Roland, Ping Lin, & Xing‐Bin Pan. (2009). A three-stage operator-splitting/finite element method for the numerical simulation of liquid crystal flow. Discovery Research Portal (University of Dundee). 6(3). 440–454. 3 indexed citations
20.
Smooke, Mitchell D., et al.. (1993). Primitive Variable Modeling of Multidimensional Laminar Flames. Combustion Science and Technology. 90(5-6). 289–313. 38 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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