Shi Jin

10.2k total citations · 1 hit paper
254 papers, 6.8k citations indexed

About

Shi Jin is a scholar working on Computational Mechanics, Applied Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Shi Jin has authored 254 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Computational Mechanics, 82 papers in Applied Mathematics and 47 papers in Statistical and Nonlinear Physics. Recurrent topics in Shi Jin's work include Gas Dynamics and Kinetic Theory (70 papers), Computational Fluid Dynamics and Aerodynamics (67 papers) and Advanced Numerical Methods in Computational Mathematics (30 papers). Shi Jin is often cited by papers focused on Gas Dynamics and Kinetic Theory (70 papers), Computational Fluid Dynamics and Aerodynamics (67 papers) and Advanced Numerical Methods in Computational Mathematics (30 papers). Shi Jin collaborates with scholars based in United States, China and France. Shi Jin's co-authors include Zhouping Xin, Peter A. Markowich, Weizhu Bao, Francis Filbet, Lorenzo Pareschi, C. David Levermore, Xin Wen, Jian‐Guo Liu, Xiantao Li and Giuseppe Toscani and has published in prestigious journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Shi Jin

240 papers receiving 6.2k citations

Hit Papers

The relaxation schemes for systems of conservation laws i... 1995 2026 2005 2015 1995 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi Jin United States 43 3.8k 2.5k 1.1k 1.1k 901 254 6.8k
Russel E. Caflisch United States 41 2.4k 0.6× 2.2k 0.9× 698 0.7× 958 0.9× 566 0.6× 139 6.5k
Claudio Canuto Italy 28 5.3k 1.4× 1.1k 0.4× 1.3k 1.2× 2.8k 2.7× 714 0.8× 113 10.8k
Thomas A. Zang United States 27 4.5k 1.2× 859 0.3× 909 0.9× 1.9k 1.8× 524 0.6× 67 8.9k
Wolfgang Dahmen Germany 45 4.5k 1.2× 1.2k 0.5× 397 0.4× 728 0.7× 514 0.6× 202 7.6k
Eitan Tadmor United States 54 10.2k 2.7× 5.0k 2.0× 1.5k 1.4× 2.6k 2.4× 436 0.5× 179 15.9k
Tao Tang China 46 3.5k 0.9× 1.1k 0.4× 761 0.7× 3.5k 3.3× 281 0.3× 237 8.0k
Lothar Reichel United States 41 1.5k 0.4× 1.6k 0.6× 674 0.6× 1.5k 1.4× 1.4k 1.5× 348 6.9k
Pierre Degond France 44 2.6k 0.7× 3.0k 1.2× 939 0.9× 332 0.3× 857 1.0× 261 6.6k
Jian‐Guo Liu United States 40 2.4k 0.6× 1.3k 0.5× 596 0.6× 604 0.6× 265 0.3× 235 5.5k
Bengt Fornberg United States 49 4.8k 1.3× 529 0.2× 1.6k 1.5× 1.9k 1.8× 1.4k 1.6× 142 10.8k

Countries citing papers authored by Shi Jin

Since Specialization
Citations

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

Fields of papers citing papers by Shi Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Shi Jin. A scholar is included among the top collaborators of Shi Jin 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 Shi Jin. Shi Jin 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.
Zhao, Teng, Chenguang Liu, Wei Qin, et al.. (2025). RBMD: A Molecular Dynamics Package Enabling to Simulate 10 Million All-Atom Particles in a Single Graphics Processing Unit. Communications in Computational Physics. 39(1). 1 indexed citations
2.
Jin, Shi, et al.. (2025). AP-MIONet: Asymptotic-Preserving Multiple-Input Neural Operators for Capturing the High-Field Limits of Collisional Kinetic Equations. Journal of Scientific Computing. 104(1). 2 indexed citations
3.
Zhang, Yueya, Gang Li, Shi Jin, et al.. (2024). MADS1-regulated lemma and awn development benefits barley yield. Nature Communications. 15(1). 301–301. 7 indexed citations
4.
Zheng, Chao, Sha Tao, Guiqiu Wang, et al.. (2024). The wavelet transform assisted laser-induced fluorescence detector with high sensitivity. Talanta. 285. 127257–127257.
5.
Jin, Shi, et al.. (2024). Asymptotic-Preserving Neural Networks for Multiscale Vlasov–Poisson–Fokker–Planck System in the High-Field Regime. Journal of Scientific Computing. 99(3). 4 indexed citations
6.
Jin, Shi, et al.. (2024). Quantum Simulation for Quantum Dynamics with Artificial Boundary Conditions. SIAM Journal on Scientific Computing. 46(4). B403–B421. 3 indexed citations
7.
Jin, Shi & Xiantao Li. (2023). A Partially Random Trotter Algorithm for Quantum Hamiltonian Simulations. Communications on Applied Mathematics and Computation. 7(2). 442–469. 2 indexed citations
8.
Zhang, Yueya, Gang Li, Shi Jin, et al.. (2023). MADS8 is indispensable for female reproductive development at high ambient temperatures in cereal crops. The Plant Cell. 36(1). 65–84. 8 indexed citations
9.
Jin, Shi, et al.. (2023). Time complexity analysis of quantum algorithms via linear representations for nonlinear ordinary and partial differential equations. Journal of Computational Physics. 487. 112149–112149. 28 indexed citations
10.
Wang, Zihao, et al.. (2023). Fast Sinkhorn II: Collinear Triangular Matrix and Linear Time Accurate Computation of Optimal Transport. Journal of Scientific Computing. 98(1). 5 indexed citations
11.
Jin, Shi, Na Wang, Zongshan Zhou, Zhirui Ji, & Junxiang Zhang. (2022). Identification of Bacillus species causing bacterial leaf spot of peach in China. Journal of Phytopathology. 170(11-12). 811–819. 4 indexed citations
12.
Zhu, Wanwan, Yi He, Shi Jin, et al.. (2022). THERMOSENSITIVE BARREN PANICLE (TAP) is required for rice panicle and spikelet development at high ambient temperature. New Phytologist. 237(3). 855–869. 10 indexed citations
13.
Golse, François, Shi Jin, & Thierry Paul. (2019). On the Convergence of Time Splitting Methods for Quantum Dynamics in the\n Semiclassical Regime. arXiv (Cornell University). 14 indexed citations
14.
Wei, Kang, Jun Li, Ming Ding, et al.. (2019). Performance Analysis on Federated Learning with Differential Privacy. arXiv (Cornell University). 3 indexed citations
15.
Ha, Seung‐Yeal, Shi Jin, & Jinwook Jung. (2018). A local sensitivity analysis for the kinetic Cucker–Smale equation with random inputs. Journal of Differential Equations. 265(8). 3618–3649. 7 indexed citations
16.
Jin, Shi, Xu Yang, & Guangwei Yuan. (2008). A domain decomposition method for a two-scale transport equation with energy flux conserved at the interface. Kinetic and Related Models. 1(1). 65–84. 6 indexed citations
17.
Jin, Shi. (2005). Homology Analysis of A and B Genomes between Wild Emmer (T. dicoccoides) and Common Wheat(T. aestivum). ACTA AGRONOMICA SINICA. 1 indexed citations
18.
Fan, Haitao & Shi Jin. (2003). Front motion in multi-dimensional viscous conservation laws with stiff source terms driven by mean curvature and variation of front thickness. Quarterly of Applied Mathematics. 61(4). 701–721. 2 indexed citations
19.
Fan, Haitao, Shi Jin, & Judith R. Miller. (2003). Wave patterns, stability, and slow motions in inviscid and viscous hyperbolic equations with stiff reaction terms. Journal of Differential Equations. 189(1). 267–291. 6 indexed citations
20.
Jin, Shi & C. David Levermore. (1993). Fully-discrete numerical transfer in diffusive regimes. Transport Theory and Statistical Physics. 22(6). 739–791. 51 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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