James J. Feng

11.1k total citations · 3 hit papers
161 papers, 8.9k citations indexed

About

James J. Feng is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Biomedical Engineering. According to data from OpenAlex, James J. Feng has authored 161 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Computational Mechanics, 44 papers in Fluid Flow and Transfer Processes and 38 papers in Biomedical Engineering. Recurrent topics in James J. Feng's work include Rheology and Fluid Dynamics Studies (44 papers), Fluid Dynamics and Heat Transfer (36 papers) and Lattice Boltzmann Simulation Studies (26 papers). James J. Feng is often cited by papers focused on Rheology and Fluid Dynamics Studies (44 papers), Fluid Dynamics and Heat Transfer (36 papers) and Lattice Boltzmann Simulation Studies (26 papers). James J. Feng collaborates with scholars based in Canada, United States and China. James J. Feng's co-authors include Pengtao Yue, Chunfeng Zhou, Howard H. Hu, Jie Shen, D. D. Joseph, Chun Liu, Seyed Majid Hosseini, D. D. Joseph, Fangjie Liu and Chuan-Hua Chen and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Development.

In The Last Decade

James J. Feng

156 papers receiving 8.5k citations

Hit Papers

A diffuse-interface method for simulating two-phase flows... 1994 2026 2004 2015 2004 1994 2023 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James J. Feng Canada 49 5.1k 2.3k 1.6k 1.6k 1.3k 161 8.9k
Omar K. Matar United Kingdom 52 6.0k 1.2× 3.1k 1.3× 2.0k 1.2× 1.6k 1.0× 1.5k 1.2× 338 9.7k
Jeffrey F. Morris United States 51 4.6k 0.9× 2.2k 0.9× 1.2k 0.7× 2.8k 1.8× 395 0.3× 152 8.9k
L. Gary Leal United States 62 5.4k 1.1× 3.9k 1.7× 1.4k 0.9× 2.8k 1.8× 902 0.7× 202 12.0k
Neelesh A. Patankar United States 43 4.8k 0.9× 2.5k 1.1× 1.7k 1.1× 806 0.5× 4.1k 3.1× 146 9.8k
E. J. Hinch United Kingdom 53 5.2k 1.0× 2.1k 0.9× 962 0.6× 1.9k 1.2× 665 0.5× 137 9.5k
Jens Eggers United Kingdom 47 8.3k 1.6× 2.5k 1.1× 4.2k 2.5× 2.0k 1.2× 3.9k 3.0× 141 12.0k
N. Phan‐Thien Australia 55 4.6k 0.9× 3.0k 1.3× 456 0.3× 1.5k 1.0× 628 0.5× 396 11.1k
R. G. Cox Canada 34 4.1k 0.8× 2.3k 1.0× 1.4k 0.8× 1.2k 0.7× 1.3k 1.0× 54 8.1k
C. Pozrikidis United States 46 3.9k 0.8× 1.7k 0.7× 738 0.4× 841 0.5× 579 0.4× 196 6.8k
L. Gary Leal United States 33 2.7k 0.5× 1.9k 0.8× 827 0.5× 1.2k 0.7× 534 0.4× 94 5.0k

Countries citing papers authored by James J. Feng

Since Specialization
Citations

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

Fields of papers citing papers by James J. Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James J. Feng. 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 James J. Feng. The network helps show where James J. Feng may publish in the future.

Co-authorship network of co-authors of James J. Feng

This figure shows the co-authorship network connecting the top 25 collaborators of James J. Feng. A scholar is included among the top collaborators of James J. Feng 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 James J. Feng. James J. Feng 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.
Li, Lei, et al.. (2025). Mechanical interaction between a hydrogel and an embedded cell in biomicrofluidic applications. Biomicrofluidics. 19(2). 24104–24104.
2.
Yue, Pengtao, et al.. (2024). Hystereses in flow-induced compression of a poroelastic hydrogel. Soft Matter. 20(35). 6940–6951. 1 indexed citations
3.
Yue, Pengtao, et al.. (2024). A theory of hydrogel mechanics that couples swelling and external flow. Soft Matter. 20(27). 5389–5406. 5 indexed citations
4.
Yue, Pengtao, et al.. (2024). Estimating the interfacial permeability for flow into a poroelastic medium. Soft Matter. 20(37). 7357–7361. 4 indexed citations
5.
Planelles-Herrero, Vicente J., et al.. (2023). Zasp52 strengthens whole embryo tissue integrity through supracellular actomyosin networks. Development. 150(7). 4 indexed citations
6.
Yue, Pengtao, et al.. (2023). Poroelastic modelling reveals the cooperation between two mechanisms for albuminuria. Journal of The Royal Society Interface. 20(198). 20220634–20220634. 6 indexed citations
7.
Young, Yuan‐Nan, et al.. (2022). Comparison of four boundary conditions for the fluid-hydrogel interface. Physical Review Fluids. 7(9). 9 indexed citations
8.
Li, Lei, et al.. (2021). An arbitrary Lagrangian-Eulerian method for simulating interfacial dynamics between a hydrogel and a fluid. Journal of Computational Physics. 451. 110851–110851. 9 indexed citations
9.
Dixit, Harish N., et al.. (2021). Tear-film breakup: The role of membrane-associated mucin polymers. Physical review. E. 103(1). 13108–13108. 13 indexed citations
10.
Boreyko, Jonathan B., Xiaopeng Qu, Fangjie Liu, et al.. (2015). Self-Propelled Sweeping Removal of Dropwise Condensate on Two-Tier Superhydrophobic Surfaces. Bulletin of the American Physical Society. 1 indexed citations
11.
Mohammadigoushki, Hadi & James J. Feng. (2012). Size-Differentiated Lateral Migration of Bubbles in Couette Flow of Two-Dimensional Foam. Physical Review Letters. 109(8). 84502–84502. 8 indexed citations
12.
Mohammadigoushki, Hadi, Giovanni Ghigliotti, & James J. Feng. (2012). Anomalous coalescence in sheared two-dimensional foam. Physical Review E. 85(6). 66301–66301. 7 indexed citations
13.
Hosseini, Seyed Majid & James J. Feng. (2011). How malaria merozoites reduce the deformability of infected RBC. APS. 64. 6 indexed citations
14.
Hosseini, Seyed Majid & James J. Feng. (2009). A particle-based model for the transport of erythrocytes in capillaries. Chemical Engineering Science. 64(22). 4488–4497. 117 indexed citations
15.
Zhou, Chunfeng, Pengtao Yue, & James J. Feng. (2008). Dynamic Simulation of Droplet Interaction and Self-Assembly in a Nematic Liquid Crystal. Langmuir. 24(7). 3099–3110. 37 indexed citations
16.
Yue, Pengtao, Chunfeng Zhou, James J. Feng, Carl Ollivier‐Gooch, & Howard H. Hu. (2006). Phase-field simulations of interfacial dynamics in viscoelastic fluids using finite elements with adaptive meshing. Journal of Computational Physics. 219(1). 47–67. 356 indexed citations
17.
Feng, James J., et al.. (2006). Constitutive modeling and flow simulation of polytetrafluoroethylene (PTFE) paste extrusion. Journal of Non-Newtonian Fluid Mechanics. 139(1-2). 44–53. 32 indexed citations
18.
Yue, Pengtao, James J. Feng, Chun Liu, & Jie Shen. (2004). A diffuse-interface method for simulating two-phase flows of complex fluids. Journal of Fluid Mechanics. 515. 293–317. 833 indexed citations breakdown →
19.
Feng, James J. & Chixing Zhou. (2003). Orientational defects near colloidal particles in a nematic liquid crystal. Journal of Colloid and Interface Science. 269(1). 72–78. 14 indexed citations
20.
Huang, P. Y. & James J. Feng. (1995). Wall effects on the flow of viscoelastic fluids around a circular cylinder. Journal of Non-Newtonian Fluid Mechanics. 60(2-3). 179–198. 68 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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