Shaojian Qu

2.5k total citations
127 papers, 1.7k citations indexed

About

Shaojian Qu is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Management Information Systems. According to data from OpenAlex, Shaojian Qu has authored 127 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Management Science and Operations Research, 30 papers in Control and Systems Engineering and 28 papers in Management Information Systems. Recurrent topics in Shaojian Qu's work include Multi-Criteria Decision Making (32 papers), Advanced Optimization Algorithms Research (23 papers) and Risk and Portfolio Optimization (23 papers). Shaojian Qu is often cited by papers focused on Multi-Criteria Decision Making (32 papers), Advanced Optimization Algorithms Research (23 papers) and Risk and Portfolio Optimization (23 papers). Shaojian Qu collaborates with scholars based in China, Singapore and Canada. Shaojian Qu's co-authors include Ying Ji, Mark Goh, Zhong Wu, Kecun Zhang, Yefan Han, Felix T.S. Chan, M.I.M. Wahab, Lingli Shu, Hui Yang and Meng Wang and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and European Journal of Operational Research.

In The Last Decade

Shaojian Qu

123 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaojian Qu China 23 523 364 289 278 262 127 1.7k
Kin Keung Lai China 21 326 0.6× 247 0.7× 330 1.1× 285 1.0× 154 0.6× 141 1.8k
Ying Ji China 21 408 0.8× 199 0.5× 194 0.7× 154 0.6× 165 0.6× 113 1.3k
Miguel A. Lejeune United States 25 659 1.3× 135 0.4× 278 1.0× 289 1.0× 350 1.3× 91 1.8k
Jiawei Zhang United States 23 596 1.1× 236 0.6× 303 1.0× 577 2.1× 211 0.8× 92 2.1k
Frederic H. Murphy United States 25 485 0.9× 211 0.6× 120 0.4× 207 0.7× 228 0.9× 129 2.3k
G. Anandalingam United States 22 482 0.9× 481 1.3× 226 0.8× 172 0.6× 728 2.8× 66 1.9k
Han-Lin Li Taiwan 19 369 0.7× 196 0.5× 250 0.9× 246 0.9× 424 1.6× 63 1.5k
A. Hadi‐Vencheh Iran 27 1.3k 2.6× 138 0.4× 250 0.9× 221 0.8× 430 1.6× 100 2.1k
Justo Puerto Spain 32 901 1.7× 484 1.3× 216 0.7× 296 1.1× 530 2.0× 217 3.3k

Countries citing papers authored by Shaojian Qu

Since Specialization
Citations

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

Fields of papers citing papers by Shaojian Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaojian Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Shaojian Qu. A scholar is included among the top collaborators of Shaojian Qu 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 Shaojian Qu. Shaojian Qu 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, Jiannan, Shaojian Qu, Zhisheng Peng, Ying Ji, & Valentina Boamah. (2024). The impact of green finance on carbon productivity: The mediating effects of the quantity and quality of green innovation. Journal of Environmental Management. 370. 122952–122952. 9 indexed citations
2.
Qu, Shaojian, et al.. (2024). Beyond Boundaries: The AHP-DEA Model for Holistic Cross-Banking Operational Risk Assessment. Mathematics. 12(7). 968–968. 4 indexed citations
3.
Ji, Ying, et al.. (2024). Multi-objective mixed integer programming modelling for closed-loop supply chain network design: an enhanced Benders decomposition algorithm. Engineering Optimization. 56(12). 2478–2521. 2 indexed citations
4.
Qu, Shaojian, et al.. (2024). Robust Consensus Modeling: Concerning Consensus Fairness and Efficiency with Uncertain Costs. Mathematics. 12(8). 1266–1266. 1 indexed citations
5.
Qu, Shaojian, et al.. (2024). Multi-criteria group consensus model with risk aversion and minimum adjustment. Expert Systems with Applications. 266. 125989–125989. 5 indexed citations
6.
Ji, Ying, et al.. (2024). A two-stage distributionally robust maximum expert consensus model with asymmetric costs and risk aversion. Information Sciences. 689. 121518–121518. 1 indexed citations
7.
Qu, Shaojian, et al.. (2023). Two-Stage Robust Programming Modeling for Continuous Berth Allocation with Uncertain Vessel Arrival Time. Sustainability. 15(13). 10560–10560. 6 indexed citations
8.
Wang, Zhongyan, et al.. (2023). Distributionally robust sparse portfolio optimization model under satisfaction criterion. Mathematical Foundations of Computing. 8(3). 347–371. 1 indexed citations
9.
Qu, Shaojian, et al.. (2023). The Strategic Weight Manipulation Model in Uncertain Environment: A Robust Risk Optimization Approach. Systems. 11(3). 151–151. 1 indexed citations
10.
Wu, Zhong, et al.. (2022). Robust Counterpart Models for Fresh Agricultural Product Routing Planning Considering Carbon Emissions and Uncertainty. Sustainability. 14(22). 14992–14992. 4 indexed citations
11.
Qu, Shaojian, et al.. (2022). Data-Driven Robust Data Envelopment Analysis for Evaluating the Carbon Emissions Efficiency of Provinces in China. Sustainability. 14(20). 13318–13318. 18 indexed citations
12.
Yan, Mengfan, et al.. (2022). The Robust Emergency Medical Facilities Location-Allocation Models under Uncertain Environment: A Hybrid Approach. Sustainability. 15(1). 624–624. 6 indexed citations
13.
Qu, Shaojian, et al.. (2022). The impact of carbon policy on carbon emissions in various industrial sectors based on a hybrid approach. Environment Development and Sustainability. 25(12). 14437–14451. 7 indexed citations
14.
Qu, Shaojian, et al.. (2020). Cross-Docking Center Location Selection Based on Interval Multi-Granularity Multicriteria Group Decision-Making. Symmetry. 12(9). 1564–1564. 5 indexed citations
15.
Qu, Shaojian, et al.. (2020). Spatial Effects and Nonlinear Analysis of Energy Consumption, Financial Development, and Economic Growth in China. Energies. 13(18). 4982–4982. 13 indexed citations
16.
Ji, Ying, et al.. (2020). A Fuzzy Robust Weighted Approach for Multi-Criteria Bilevel Games. IEEE Transactions on Industrial Informatics. 16(8). 5369–5376. 30 indexed citations
17.
Raza, Hassan, Jia Liu, & Shaojian Qu. (2019). On Mixed Metric Dimension of Rotationally Symmetric Graphs. IEEE Access. 8. 11560–11569. 27 indexed citations
18.
Ji, Ying, et al.. (2018). Dynamic Strategies on Firm Production and Platform Advertisement in Crowdfunding considering Investor’s Perception. Discrete Dynamics in Nature and Society. 2018. 1–12. 3 indexed citations
19.
Ji, Ying, Shaojian Qu, & Zhensheng Yu. (2017). A New Method for Solving Multiobjective Bilevel Programs. Discrete Dynamics in Nature and Society. 2017. 1–10. 3 indexed citations
20.
Qu, Shaojian, et al.. (2009). A nonmonotone quasi-Newton trust-region method of conic model for unconstrained optimization. Optimization methods & software. 24(3). 339–367. 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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