Fande Kong

1.8k total citations · 1 hit paper
28 papers, 845 citations indexed

About

Fande Kong is a scholar working on Computational Mechanics, Aerospace Engineering and Materials Chemistry. According to data from OpenAlex, Fande Kong has authored 28 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Mechanics, 7 papers in Aerospace Engineering and 6 papers in Materials Chemistry. Recurrent topics in Fande Kong's work include Advanced Numerical Methods in Computational Mathematics (12 papers), Computational Fluid Dynamics and Aerodynamics (7 papers) and Nuclear reactor physics and engineering (6 papers). Fande Kong is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (12 papers), Computational Fluid Dynamics and Aerodynamics (7 papers) and Nuclear reactor physics and engineering (6 papers). Fande Kong collaborates with scholars based in United States, China and Belarus. Fande Kong's co-authors include Alexander Lindsay, John W. Peterson, Xiao‐Chuan Cai, Cody Permann, Richard Martineau, Derek Gaston, Andrew E. Slaughter, Robert Carlsen, David Andrš and Jason Miller and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and International Journal for Numerical Methods in Engineering.

In The Last Decade

Fande Kong

26 papers receiving 816 citations

Hit Papers

align trajectories

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.

MOOSE: Enabling massively parallel multiphysics simulation

2020 458 citations Cody Permann, Derek Gaston et al. SoftwareX profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fande Kong United States	13	347	314	224	167	130	28	845
Roy H. Stogner United States	4	339 1.0×	283 0.9×	315 1.4×	182 1.1×	171 1.3×	5	1.1k
Glen Hansen United States	15	397 1.1×	405 1.3×	257 1.1×	203 1.2×	141 1.1×	44	1.1k
Andrew E. Slaughter United States	13	475 1.4×	424 1.4×	119 0.5×	191 1.1×	134 1.0×	31	980
Chris Newman United States	4	344 1.0×	309 1.0×	106 0.5×	129 0.8×	96 0.7×	5	681
Cody Permann United States	15	858 2.5×	756 2.4×	144 0.6×	275 1.6×	177 1.4×	32	1.3k
Fu Li China	16	733 2.1×	1.0k 3.2×	285 1.3×	252 1.5×	70 0.5×	113	1.5k
Richard Martineau United States	19	999 2.9×	1.0k 3.3×	306 1.4×	262 1.6×	160 1.2×	64	1.7k
Robert Carlsen United States	7	326 0.9×	279 0.9×	89 0.4×	140 0.8×	102 0.8×	13	613
F. Fossati Italy	15	149 0.4×	194 0.6×	403 1.8×	281 1.7×	197 1.5×	51	1.1k
David Andrš United States	17	1.1k 3.1×	947 3.0×	214 1.0×	355 2.1×	198 1.5×	33	1.7k

Countries citing papers authored by Fande Kong

Since Specialization

Citations

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

Fields of papers citing papers by Fande Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fande Kong

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Giudicelli, Guillaume, Fande Kong, Logan Harbour, et al.. (2025). Data transfers for nuclear reactor multiphysics studies using the MOOSE framework. SHILAP Revista de lepidopterología. 4.

Jin, Wencheng, Logan Harbour, Fande Kong, et al.. (2023). A robust interface finite element formulation for modeling brittle material failure problems. International Journal for Numerical Methods in Engineering. 124(23). 5356–5374. 1 indexed citations

Adams, Mark F., Satish Balay, Oana Marin, et al.. (2022). The PETSc Community as Infrastructure. Computing in Science & Engineering. 24(3). 6–15. 1 indexed citations

Peterson, John W., et al.. (2022). Characterization of the Finite Element Computational Fluid Dynamics Capabilities in the Multiphysics Object Oriented Simulation Environment. Journal of Nuclear Engineering and Radiation Science. 9(2). 2 indexed citations

Kong, Fande & Paul W. Humrickhouse. (2022). Toward a Fully Integrated Multiphysics Simulation Framework for Fusion Blanket Design. IEEE Transactions on Plasma Science. 50(11). 4446–4452. 7 indexed citations

Yushu, Dewen, Michael D McMurtrey, Wen Jiang, & Fande Kong. (2022). Directed energy deposition process modeling: A geometry-free thermo-mechanical model with adaptive subdomain construction. The International Journal of Advanced Manufacturing Technology. 122(2). 849–868. 7 indexed citations

Blondel, Sophie, David E. Bernholdt, Philip C. Roth, et al.. (2022). Modeling mesoscale fission gas behavior in UO2 by directly coupling the phase field method to spatially resolved cluster dynamics. SHILAP Revista de lepidopterología. 6(1). 20 indexed citations

Dhulipala, Somayajulu L. N., Chandrakanth Bolisetti, William Hoffman, et al.. (2022). Development, verification, and validation of comprehensive acoustic fluid‐structure interaction capabilities in an open‐source computational platform. Earthquake Engineering & Structural Dynamics. 51(10). 2188–2219. 6 indexed citations

Permann, Cody, Andrea Jokisaari, Michael Tonks, et al.. (2021). Scalable Feature Tracking for Finite Element Meshes Demonstrated with a Novel Phase-Field Grain Subdivision Model. Nuclear Technology. 207(7). 885–904. 12 indexed citations

10.

Wang, Yaqi, Sebastian Schunert, Javier Ortensi, et al.. (2021). Rattlesnake: A MOOSE-Based Multiphysics Multischeme Radiation Transport Application. Nuclear Technology. 207(7). 1047–1072. 45 indexed citations

11.

Lindsay, Alexander, Derek Gaston, Daniel Schwen, et al.. (2021). Automatic Differentiation in MetaPhysicL and Its Applications in MOOSE. Nuclear Technology. 207(7). 905–922. 27 indexed citations

12.

Martineau, Richard, David Andrš, Robert Carlsen, et al.. (2020). Multiphysics for nuclear energy applications using a cohesive computational framework. Nuclear Engineering and Design. 367. 110751–110751. 18 indexed citations

13.

Permann, Cody, Derek Gaston, David Andrš, et al.. (2020). MOOSE: Enabling massively parallel multiphysics simulation. SoftwareX. 11. 100430–100430. 458 indexed citations breakdown →

14.

Kong, Fande, Vitaly O. Kheyfets, Ender A. Finol, & Xiao‐Chuan Cai. (2019). Simulation of unsteady blood flows in a patient‐specific compliant pulmonary artery with a highly parallel monolithically coupled fluid‐structure interaction algorithm. International Journal for Numerical Methods in Biomedical Engineering. 35(7). e3208–e3208. 25 indexed citations

15.

Kong, Fande, Roy H. Stogner, Derek Gaston, et al.. (2018). A General-Purpose Hierarchical Mesh Partitioning Method with Node Balancing Strategies for Large-Scale Numerical Simulations. 65–72. 6 indexed citations

16.

Peterson, John W., Alexander Lindsay, & Fande Kong. (2018). Overview of the incompressible Navier–Stokes simulation capabilities in the MOOSE framework. Advances in Engineering Software. 119. 68–92. 42 indexed citations

17.

Kong, Fande & Xiao‐Chuan Cai. (2017). A scalable nonlinear fluid–structure interaction solver based on a Schwarz preconditioner with isogeometric unstructured coarse spaces in 3D. Journal of Computational Physics. 340. 498–518. 32 indexed citations

18.

Smith, Barry, Satish Balay, Matthew G. Knepley, et al.. (2016). petsc: Portable, Extensible Toolkit for Scientific Computation. Zenodo (CERN European Organization for Nuclear Research). 1530–1539. 35 indexed citations

19.

Kong, Fande & Xiao‐Chuan Cai. (2016). A Highly Scalable Multilevel Schwarz Method with Boundary Geometry Preserving Coarse Spaces for 3D Elasticity Problems on Domains with Complex Geometry. SIAM Journal on Scientific Computing. 38(2). C73–C95. 36 indexed citations

20.

Kong, Fande. (2016). A Parallel Implicit Fluid-structure Interaction Solver with Isogeometric Coarse Spaces for 3D Unstructured Mesh Problems with Complex Geometry. CU Scholar (University of Colorado Boulder). 3 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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