Tong Qin

590 total citations
11 papers, 387 citations indexed

About

Tong Qin is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Numerical Analysis. According to data from OpenAlex, Tong Qin has authored 11 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistical and Nonlinear Physics, 4 papers in Artificial Intelligence and 3 papers in Numerical Analysis. Recurrent topics in Tong Qin's work include Model Reduction and Neural Networks (4 papers), Advanced Numerical Methods in Computational Mathematics (3 papers) and Numerical methods for differential equations (3 papers). Tong Qin is often cited by papers focused on Model Reduction and Neural Networks (4 papers), Advanced Numerical Methods in Computational Mathematics (3 papers) and Numerical methods for differential equations (3 papers). Tong Qin collaborates with scholars based in United States, China and Chile. Tong Qin's co-authors include Dongbin Xiu, Kailiang Wu, Chi‐Wang Shu, John Jakeman, Ricardo Oyarzúa, Dominik Schötzau, Yang Yang, Zhe Chen, Zhen Chen and Haitao Zhao and has published in prestigious journals such as Journal of Computational Physics, Construction and Building Materials and SIAM Journal on Scientific Computing.

In The Last Decade

Tong Qin

10 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tong Qin United States 7 203 165 82 68 52 11 387
Alessandro Alla Italy 9 331 1.6× 156 0.9× 107 1.3× 57 0.8× 70 1.3× 27 469
Kookjin Lee United States 9 302 1.5× 161 1.0× 88 1.1× 72 1.1× 27 0.5× 26 462
Yeonjong Shin United States 11 177 0.9× 103 0.6× 85 1.0× 99 1.5× 16 0.3× 20 342
Yiping Lu China 5 260 1.3× 93 0.6× 67 0.8× 101 1.5× 26 0.5× 17 386
Jakob Zech Switzerland 9 130 0.6× 94 0.6× 98 1.2× 81 1.2× 55 1.1× 20 304
Qifeng Liao China 11 197 1.0× 105 0.6× 108 1.3× 55 0.8× 15 0.3× 34 368
Yaohua Zang Germany 3 194 1.0× 86 0.5× 48 0.6× 44 0.6× 17 0.3× 6 263
Chad Lieberman United States 7 126 0.6× 40 0.2× 102 1.2× 51 0.8× 44 0.8× 9 273
Maximilian Winter Germany 10 128 0.6× 177 1.1× 53 0.6× 37 0.5× 13 0.3× 14 311
Patrick Blonigan United States 10 235 1.2× 168 1.0× 78 1.0× 26 0.4× 58 1.1× 38 385

Countries citing papers authored by Tong Qin

Since Specialization
Citations

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

Fields of papers citing papers by Tong Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Tong Qin. A scholar is included among the top collaborators of Tong Qin 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 Tong Qin. Tong Qin 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.
Shi, Jianzhe, et al.. (2025). Interlaminar shear behavior of basalt fiber-reinforced polymer tendons subjected to a combined effect of prestress, grout and seawater. Construction and Building Materials. 462. 139982–139982. 15 indexed citations
2.
Shi, Jianzhe, Tong Qin, Xu‐Yang Cao, et al.. (2025). Durability of Bonded Basalt Fiber–Reinforced Polymer Rods in Prestressed Concrete Exposed to Seawater. Journal of Composites for Construction. 30(1).
3.
Qin, Tong, et al.. (2024). Practical approach to flexible job shop scheduling with tool switching constraints using quantum annealing. Journal of Advanced Mechanical Design Systems and Manufacturing. 18(2). JAMDSM0009–JAMDSM0009. 1 indexed citations
4.
Qin, Tong, Zhe Chen, John Jakeman, & Dongbin Xiu. (2021). Data-Driven Learning of Nonautonomous Systems. SIAM Journal on Scientific Computing. 43(3). A1607–A1624. 38 indexed citations
5.
Qin, Tong, Zhen Chen, John Jakeman, & Dongbin Xiu. (2020). DEEP LEARNING OF PARAMETERIZED EQUATIONS WITH APPLICATIONS TO UNCERTAINTY QUANTIFICATION. International Journal for Uncertainty Quantification. 11(2). 63–82. 31 indexed citations
6.
Qin, Tong, Ling Zhou, & Dongbin Xiu. (2020). Reducing parameter space for neural network training. Theoretical and Applied Mechanics Letters. 10(3). 170–181. 4 indexed citations
7.
Qin, Tong, Kailiang Wu, & Dongbin Xiu. (2019). Data driven governing equations approximation using deep neural networks. Journal of Computational Physics. 395. 620–635. 183 indexed citations
8.
Qin, Tong & Chi‐Wang Shu. (2018). Implicit Positivity-Preserving High-Order Discontinuous Galerkin Methods for Conservation Laws. SIAM Journal on Scientific Computing. 40(1). A81–A107. 23 indexed citations
9.
Qin, Tong, Chi‐Wang Shu, & Yang Yang. (2016). Bound-preserving discontinuous Galerkin methods for relativistic hydrodynamics. Journal of Computational Physics. 315. 323–347. 45 indexed citations
10.
Oyarzúa, Ricardo, Tong Qin, & Dominik Schötzau. (2013). An exactly divergence-free finite element method for a generalized Boussinesq problem. IMA Journal of Numerical Analysis. 34(3). 1104–1135. 46 indexed citations
11.
Wu, Jun, et al.. (2013). Slotting Optimization Algorithm of the Stereo Warehouse. Advanced materials research. 756-759. 1371–1376. 1 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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