Quan Shi

489 total citations · 1 hit paper
36 papers, 337 citations indexed

About

Quan Shi is a scholar working on Computational Theory and Mathematics, Transportation and Building and Construction. According to data from OpenAlex, Quan Shi has authored 36 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 10 papers in Transportation and 8 papers in Building and Construction. Recurrent topics in Quan Shi's work include Matrix Theory and Algorithms (12 papers), Transportation Planning and Optimization (10 papers) and Electromagnetic Scattering and Analysis (7 papers). Quan Shi is often cited by papers focused on Matrix Theory and Algorithms (12 papers), Transportation Planning and Optimization (10 papers) and Electromagnetic Scattering and Analysis (7 papers). Quan Shi collaborates with scholars based in China, Taiwan and Hong Kong. Quan Shi's co-authors include Qinqin Shen, Yang Cao, Weiping Ding, Zhi-Ru Ren, Jiashuang Huang, Senlai Zhu, Linquan Yao, Xu An Wang, Jiandong Wang and Yuntao Guo and has published in prestigious journals such as Information Sciences, International Journal of Environmental Research and Public Health and Sustainability.

In The Last Decade

Quan Shi

36 papers receiving 325 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.

Spatial–Temporal Complex Graph Convolution Network for Traffic Flow Prediction

2023 81 citations Jiashuang Huang, Qinqin Shen et al. Engineering Applications of Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Quan Shi China	10	153	101	85	76	73	36	337
Shu Lü United States	12	116 0.8×	22 0.2×	9 0.1×	115 1.5×	21 0.3×	38	352
Doron Chen Israel	9	71 0.5×	17 0.2×	15 0.2×	16 0.2×	49 0.7×	20	238
Eulalia Martı́nez Spain	18	518 3.4×	37 0.4×	17 0.2×	27 0.4×	115 1.6×	83	1.2k
Manabu Shirosaki Japan	5	59 0.4×	78 0.8×	2 0.0×	27 0.4×	48 0.7×	20	441
Liping Zhang China	10	241 1.6×	12 0.1×	3 0.0×	12 0.2×	62 0.8×	54	490
István Maros United Kingdom	10	157 1.0×	4 0.0×	8 0.1×	10 0.1×	36 0.5×	25	347
Joey Huchette United States	7	31 0.2×	11 0.1×	9 0.1×	8 0.1×	8 0.1×	16	388
Geraldo Veiga United States	6	279 1.8×	3 0.0×	23 0.3×	4 0.1×	79 1.1×	8	447
Maximilian Balandat United States	10	49 0.3×	36 0.4×	7 0.1×	7 0.1×	6 0.1×	22	302
Dorian Chan United States	5	314 2.1×	18 0.2×		98 1.3×	31 0.4×	9	455

Countries citing papers authored by Quan Shi

Since Specialization

Citations

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

Fields of papers citing papers by Quan Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Shi. A scholar is included among the top collaborators of Quan Shi 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 Quan Shi. Quan Shi 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

Shi, Quan, et al.. (2024). Impact of attitudinal factors and mode-specific transportation policies on the intention to adopt MaaS: The moderating role of urban scale. Cities. 158. 105683–105683. 5 indexed citations

Shen, Qinqin, et al.. (2023). PLU-MCN: Perturbation learning enhanced U-shaped multi-graph convolutional network for traffic flow prediction. Information Fusion. 104. 102213–102213. 9 indexed citations

Huang, Jiashuang, et al.. (2023). Spatial–Temporal Complex Graph Convolution Network for Traffic Flow Prediction. Engineering Applications of Artificial Intelligence. 121. 106044–106044. 81 indexed citations breakdown →

Cao, Yang, et al.. (2023). A modified Newton-based matrix splitting iteration method for generalized absolute value equations. Journal of Computational and Applied Mathematics. 442. 115747–115747. 4 indexed citations

Qiu, Jie, et al.. (2022). An accelerated modulus-based matrix splitting iteration method for mixed-size cell circuits legalization. Integration. 88. 20–31. 5 indexed citations

Shen, Qinqin, et al.. (2022). A general modulus-based matrix splitting method for quasi-complementarity problem. AIMS Mathematics. 7(6). 10994–11014. 3 indexed citations

Shen, Qinqin & Quan Shi. (2022). Block symmetric-triangular preconditioners for generalized saddle point linear systems from piezoelectric equations. Computers & Mathematics with Applications. 119. 100–117. 1 indexed citations

Cao, Zhichao, et al.. (2020). Coordination Investigation of the Economic, Social and Environmental Benefits of Urban Public Transport Infrastructure in 13 Cities, Jiangsu Province, China. International Journal of Environmental Research and Public Health. 17(18). 6809–6809. 6 indexed citations

Cao, Yang, Quan Shi, & Senlai Zhu. (2020). A relaxed generalized Newton iteration method for generalized absolute value equations. AIMS Mathematics. 6(2). 1258–1275. 8 indexed citations

10.

Cao, Yang, et al.. (2020). Regularized DPSS preconditioners for generalized saddle point linear systems. Computers & Mathematics with Applications. 80(5). 956–972. 2 indexed citations

11.

Zhu, Senlai, et al.. (2019). An Adaptive Signal Control Method with Optimal Detector Locations. Sustainability. 11(3). 727–727. 10 indexed citations

12.

Shen, Qinqin & Quan Shi. (2018). Inexact modified positive-definite and skew-Hermitian splitting preconditioners for generalized saddle point problems. Advances in Mechanical Engineering. 10(10). 3 indexed citations

13.

Wang, Xu An, Yang Cao, & Quan Shi. (2018). Convergence analysis of modulus-based matrix splitting iterative methods for implicit complementarity problems. Journal of Inequalities and Applications. 2018(1). 2–2. 11 indexed citations

14.

Shen, Qinqin & Quan Shi. (2017). A variant of the HSS preconditioner for complex symmetric indefinite linear systems. Computers & Mathematics with Applications. 75(3). 850–863. 13 indexed citations

15.

Shen, Qinqin & Quan Shi. (2016). Generalized shift-splitting preconditioners for nonsingular and singular generalized saddle point problems. Computers & Mathematics with Applications. 72(3). 632–641. 32 indexed citations

16.

Ding, Weiping, et al.. (2016). An Enhanced Attribute Co‐evolutionary Game Reduction Algorithm by Integrating Self‐adaptive Multi‐level Nash Equilibrium. Chinese Journal of Electronics. 25(1). 13–19. 1 indexed citations

17.

Ding, Weiping, et al.. (2014). A more efficient attribute self-adaptive co-evolutionary reduction algorithm by combining quantum elitist frogs and cloud model operators. Information Sciences. 293. 214–234. 12 indexed citations

18.

Ding, Weiping, et al.. (2013). Enhanced minimum attribute reduction based on quantum-inspired shuffled frog leaping algorithm. Journal of Systems Engineering and Electronics. 24(3). 426–434. 10 indexed citations

19.

Shi, Quan, et al.. (2011). Optimizing K2 trees: A case for validating the maturity of network of practices. Computers & Mathematics with Applications. 63(2). 427–436. 7 indexed citations

20.

Shi, Quan. (2010). Research and Application of Dynamical Classification Model for Ensemble Learning Based on Approximation Concept Lattice of Roughness. 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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