Quan Long

831 total citations
23 papers, 517 citations indexed

About

Quan Long is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Computational Theory and Mathematics. According to data from OpenAlex, Quan Long has authored 23 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Management Science and Operations Research, 6 papers in Statistics, Probability and Uncertainty and 4 papers in Computational Theory and Mathematics. Recurrent topics in Quan Long's work include Probabilistic and Robust Engineering Design (6 papers), Optimal Experimental Design Methods (5 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Quan Long is often cited by papers focused on Probabilistic and Robust Engineering Design (6 papers), Optimal Experimental Design Methods (5 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Quan Long collaborates with scholars based in United States, China and Saudi Arabia. Quan Long's co-authors include Fehmi Cirak, Raúl Tempone, Suojin Wang, Min Xie, Yuan-Shun Dai, Luis Espath, Joakim Beck, Mohammad Motamed, Serge Prudhomme and Kaushik Bhattacharya and has published in prestigious journals such as Applied Physics Letters, Chemical Engineering Journal and Chemosphere.

In The Last Decade

Quan Long

22 papers receiving 498 citations

Peers

Quan Long

SPU

CTM

MSOR

Anoop Mullur United States

M. Li United States

Dipankar Ghosh United States

Shawn Gano United States

Loïc Brevault France

Jose Ignacio Aizpurua Spain

Paul D. Arendt United States

Bret A. Naylor United States

Zhangchun Tang China

Anoop Mullur United States

Quan Long

248 ×1.5

SPU

354 ×2.7

CTM

147 ×1.3

MSOR

30 ×0.3

73 ×0.9

Citations per year, relative to Quan Long Quan Long (= 1×) peers Anoop Mullur

Countries citing papers authored by Quan Long

Since Specialization

Citations

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

Fields of papers citing papers by Quan Long

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Long

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

Wu, Guangwei, Jing Lin, Bin Wang, et al.. (2025). Biochar doping of synthesized mordenite improves adsorption and oxidation in As(III) removal: Experiments and DFT calculations. Environmental Research. 270. 120949–120949. 4 indexed citations

Zhao, Xue Qiang, et al.. (2025). Adsorption-based removal of PFASs from water: mechanisms, materials and future perspective. Environmental Chemistry. 22(6). 1 indexed citations

Bhojan, Anand & Quan Long. (2025). iReflect: Enhancing Reflective Learning with LLMs: A Study on Automated Feedback in Project Based Courses. 395–403. 1 indexed citations

Chang, Hui, Junwei Qiao, Peter K. Liaw, et al.. (2024). Deformation-induced HCP phase transformation of CrCoNiSi0.3 medium-entropy alloy under high strain rate tension. Applied Physics Letters. 124(14). 4 indexed citations

Huang, Jialiang, Yi Hua, Wei Xu, et al.. (2024). The Impact of Extreme Precipitation on Soil Moisture Transport in Apple Orchards of Varying Ages on the Loess Plateau. Water. 16(22). 3322–3322. 1 indexed citations

Wu, Guangwei, Bin Wang, Fuyang Huang, et al.. (2024). Effect of montmorillonite modified straw biochar on transfer behavior of lead and copper in the historical mining areas of dry-hot valleys. Chemosphere. 352. 141344–141344. 5 indexed citations

Huang, Fuyang, Jing Lin, Bin Wang, Quan Long, & Weiguo Tu. (2024). Adsorption of Pb(II) from aqueous environment on artificially synthesized mordenite and its biochar composite. Chemical Engineering Journal. 497. 154700–154700. 10 indexed citations

Long, Quan. (2021). Multimodal information gain in Bayesian design of experiments. Computational Statistics. 37(2). 865–885. 7 indexed citations

Beck, Joakim, et al.. (2018). Fast Bayesian experimental design: Laplace-based importance sampling for the expected information gain. Computer Methods in Applied Mechanics and Engineering. 334. 523–553. 52 indexed citations

10.

Bisetti, Fabrizio, Daesang Kim, Omar M. Knio, Quan Long, & Raúl Tempone. (2016). Optimal Bayesian Experimental Design for Priors of Compact Support with Application to Shock‐Tube Experiments for Combustion Kinetics. International Journal for Numerical Methods in Engineering. 108(2). 136–155. 16 indexed citations

11.

Long, Quan, et al.. (2014). A Laplace method for under-determined Bayesian optimal experimental designs. Computer Methods in Applied Mechanics and Engineering. 285. 849–876. 18 indexed citations

12.

Long, Quan, et al.. (2014). On the detectability of transverse cracks in laminated composites using electrical potential change measurements. Composite Structures. 121. 237–246. 33 indexed citations

13.

Cirak, Fehmi, Quan Long, Kaushik Bhattacharya, & M. Warner. (2013). Computational analysis of liquid crystalline elastomer membranes: Changing Gaussian curvature without stretch energy. International Journal of Solids and Structures. 51(1). 144–153. 30 indexed citations

14.

Long, Quan, et al.. (2013). Fast estimation of expected information gains for Bayesian experimental designs based on Laplace approximations. Computer Methods in Applied Mechanics and Engineering. 259. 24–39. 88 indexed citations

15.

Long, Quan, et al.. (2012). Shear‐flexible subdivision shells. International Journal for Numerical Methods in Engineering. 90(13). 1549–1577. 43 indexed citations

16.

Cirak, Fehmi & Quan Long. (2011). Subdivision shells with exact boundary control and non‐manifold geometry. International Journal for Numerical Methods in Engineering. 88(9). 897–923. 60 indexed citations

17.

Bazilevs, Yuri, Kai‐Uwe Bletzinger, Victor M. Calo, et al.. (2008). Geometry and Mechanics. eCommons (Cornell University). 4(4). 247–51. 5 indexed citations

18.

Dai, Yuan-Shun, et al.. (2007). Uncertainty Analysis in Software Reliability Modeling by Bayesian Analysis with Maximum-Entropy Principle. IEEE Transactions on Software Engineering. 33(11). 781–795. 55 indexed citations

19.

Long, Quan, Min Xie, Sheryl Hui-Xian Ng, & Gregory Levitin. (2007). Reliability analysis and optimization of weighted voting systems with continuous states input. European Journal of Operational Research. 191(1). 240–252. 24 indexed citations

20.

Long, Quan, Zhiming Liu, Xiaoshan Li, & He Jifeng. (2005). Consistent Code Generation from UML Models. 295. 23–30. 24 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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