Lin Deng

509 total citations · 1 hit paper
11 papers, 408 citations indexed

About

Lin Deng is a scholar working on Computational Mechanics, Mechanical Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, Lin Deng has authored 11 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Mechanics, 4 papers in Mechanical Engineering and 3 papers in Fluid Flow and Transfer Processes. Recurrent topics in Lin Deng's work include Rheology and Fluid Dynamics Studies (3 papers), Lattice Boltzmann Simulation Studies (3 papers) and Injection Molding Process and Properties (2 papers). Lin Deng is often cited by papers focused on Rheology and Fluid Dynamics Studies (3 papers), Lattice Boltzmann Simulation Studies (3 papers) and Injection Molding Process and Properties (2 papers). Lin Deng collaborates with scholars based in China, United States and Hong Kong. Lin Deng's co-authors include GONGBO LONG, Boqi Xiao, Zhang Xian, Jintu Fan, Hanxin Chen, Wei Wang, Yun Zhang, Junjie Liang, Huamin Zhou and G. Hugh Song and has published in prestigious journals such as Powder Technology, Polymers and Computers & Mathematics with Applications.

In The Last Decade

Lin Deng

10 papers receiving 398 citations

Hit Papers

A novel fractal solution for permeability and Kozeny-Carm... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A novel fractal solution for permeability and Kozeny-Carman constant of fibrous porous media made up of solid particles and porous fibers
    2019 271 citations Boqi Xiao, Wei Wang et al. Powder Technology profile →

Peers

Lin Deng
Qiwen Huang China
Shiu‐Wu Chau Taiwan
Jeferson Ávila Souza Brazil
Mehrez Agnaou Canada
Pratanu Roy United States
A. Carotenuto Italy
Mohamed Nabil Noui-Mehidi United States
Shifeng Xue China
Chuang Huang China
Qiwen Huang China
Lin Deng
Citations per year, relative to Lin Deng Lin Deng (= 1×) peers Qiwen Huang

Countries citing papers authored by Lin Deng

Since Specialization
Citations

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

Fields of papers citing papers by Lin Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Deng

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

All Works

11 of 11 papers shown
1.
Deng, Lin, et al.. (2022). Study on Tensile Properties of 3D Porous Lattice Structures Based on Cube Truss Cells. Journal of Materials Engineering and Performance. 32(8). 3658–3667. 2 indexed citations
2.
Deng, Lin, et al.. (2022). Energy Absorption Characteristics of 3D Lattice Structure Filled with Periodic Inner Core Based on 3D Printing. Journal of Materials Engineering and Performance. 31(8). 6784–6794. 5 indexed citations
3.
Deng, Lin, et al.. (2022). Flattening Algorithm for Skin Wounds Based on Finite Element Method in Preoperative Flap Design. Journal of Computer-Aided Design & Computer Graphics. 34(6). 977–984. 1 indexed citations
4.
Deng, Lin, et al.. (2021). Multiscale Modeling and Simulation of Polymer Blends in Injection Molding: A Review. Polymers. 13(21). 3783–3783. 7 indexed citations
5.
6.
Xiao, Boqi, Wei Wang, Zhang Xian, et al.. (2019). A novel fractal solution for permeability and Kozeny-Carman constant of fibrous porous media made up of solid particles and porous fibers. Powder Technology. 349. 92–98. 271 indexed citations breakdown →
7.
8.
Deng, Lin, et al.. (2017). Efficient numerical simulation of injection mold filling with the lattice Boltzmann method. Engineering Computations. 34(2). 307–329. 32 indexed citations
9.
Deng, Lin, Yun Zhang, Yanwei Wen, Bin Shan, & Huamin Zhou. (2015). A fractional-step thermal lattice Boltzmann model for high Peclet number flow. Computers & Mathematics with Applications. 70(5). 1152–1161. 5 indexed citations
10.
Song, G. Hugh, Liang Wang, Lin Deng, & Huiming Yin. (2015). Mechanical characterization and inclusion based boundary element modeling of lightweight concrete containing foam particles. Mechanics of Materials. 91. 208–225. 16 indexed citations
11.
Deng, Lin, et al.. (2009). Multi-period model of portfolio investment and adjustment based on hybrid genetic algorithm. Transactions of Tianjin University. 15(6). 415–422. 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.

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