Ruguo Fan

1.8k total citations
66 papers, 1.3k citations indexed

About

Ruguo Fan is a scholar working on Management Science and Operations Research, Economics and Econometrics and Statistical and Nonlinear Physics. According to data from OpenAlex, Ruguo Fan has authored 66 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Management Science and Operations Research, 19 papers in Economics and Econometrics and 14 papers in Statistical and Nonlinear Physics. Recurrent topics in Ruguo Fan's work include Innovation Diffusion and Forecasting (17 papers), Complex Network Analysis Techniques (14 papers) and Energy, Environment, Economic Growth (13 papers). Ruguo Fan is often cited by papers focused on Innovation Diffusion and Forecasting (17 papers), Complex Network Analysis Techniques (14 papers) and Energy, Environment, Economic Growth (13 papers). Ruguo Fan collaborates with scholars based in China, Singapore and United Kingdom. Ruguo Fan's co-authors include Jinchai Lin, Lili Dong, Ming Luo, Dongxue Wang, Yuanyuan Wang, Kaiwei Zhu, Weiguo Yang, Pengfei Zhang, Yitong Wang and Yuanyuan Wang and has published in prestigious journals such as Journal of Cleaner Production, Applied Energy and Energy Policy.

In The Last Decade

Ruguo Fan

60 papers receiving 1.2k citations

Peers

Ruguo Fan

MSOR

EEE

RESE

Alexander Teytelboym United Kingdom

Markus Günther Austria

Franz Wirl Austria

Anna Felländer Sweden

Shoujun Huang China

Peer‐Olaf Siebers United Kingdom

Rongbing Huang Canada

Ozcan Sarıtas Russia

Biswajit Mahanty India

Longfeng Zhao China

Alexander Teytelboym United Kingdom

Ruguo Fan

903 ×2.4

118 ×0.4

217 ×0.8

MSOR

749 ×2.9

EEE

337 ×1.3

RESE

Citations per year, relative to Ruguo Fan Ruguo Fan (= 1×) peers Alexander Teytelboym

Countries citing papers authored by Ruguo Fan

Since Specialization

Citations

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

Fields of papers citing papers by Ruguo Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruguo Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Ruguo Fan. A scholar is included among the top collaborators of Ruguo Fan 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 Ruguo Fan. Ruguo Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Fan, Ruguo, et al.. (2025). Mitigating collusive manipulation of reviews in e-commerce platforms: Evolutionary game and strategy simulation. Information Processing & Management. 62(4). 104080–104080. 2 indexed citations

Fan, Ruguo, et al.. (2025). Competitive information spreading model in two-layer networks considering dual debunking mechanisms and time lag effects. Physica A Statistical Mechanics and its Applications. 665. 130479–130479. 1 indexed citations

Fan, Ruguo, et al.. (2025). Research on the optimal incentive and constraint mechanisms for corporate carbon information disclosure considering different market contexts: A network-based evolutionary game analysis. Energy Economics. 142. 108207–108207. 6 indexed citations

Fan, Ruguo, et al.. (2025). Coupling effects of RPS and CET policies on the low-carbon transformation of the Chinese power industry: A combined perspective based on tripartite evolutionary game and system dynamics. Energy. 334. 136941–136941. 1 indexed citations

Fan, Ruguo, et al.. (2025). Value allocation mechanism for multi-agent data sharing in digital innovation network: Agent-based modeling. Expert Systems with Applications. 299. 130124–130124.

Luo, Ming, et al.. (2024). Research on Interprovincial Embodied Carbon Transfer Network in China and Its Endogenous Dynamic Evolutionary Mechanism. Sustainability. 16(24). 10814–10814. 2 indexed citations

Wang, Yitong, et al.. (2023). Impact of the dual-credit policy on electric vehicle diffusion considering information transmission. Transportation Research Part D Transport and Environment. 121. 103852–103852. 20 indexed citations

Fan, Ruguo, et al.. (2023). A model of the enterprise supply chain risk propagation based on partially mapping two-layer complex networks. Physica A Statistical Mechanics and its Applications. 613. 128506–128506. 18 indexed citations

Fan, Ruguo, et al.. (2023). SHI1I2R competitive information spreading model in online and offline two-layer networks in emergencies. Expert Systems with Applications. 235. 121225–121225. 15 indexed citations

10.

Wang, Yitong, et al.. (2023). Exploring incentives to promote electric vehicles diffusion under subsidy abolition: An evolutionary analysis on multiplex consumer social networks. Energy. 276. 127587–127587. 12 indexed citations

11.

Dong, Lili & Ruguo Fan. (2023). Dynamic analysis of the optimal guiding mechanism for second emission trading market in China. Journal of Cleaner Production. 418. 138145–138145. 3 indexed citations

12.

Fan, Ruguo, et al.. (2023). The role of consumer reviews in e-commerce platform credit supervision: A signaling game model based on complex network. Electronic Commerce Research and Applications. 63. 101347–101347. 11 indexed citations

13.

Pan, Wulin, et al.. (2023). The role of climate literacy in individual response to climate change: evidence from China. Journal of Cleaner Production. 405. 136874–136874. 15 indexed citations

14.

Fan, Ruguo, et al.. (2023). Modeling the competitive propagation of rumors and counter-rumors in two-layer complex networks with nonlinear spreading and decay rates. Physica D Nonlinear Phenomena. 456. 133921–133921. 10 indexed citations

15.

Fan, Ruguo, et al.. (2023). How to promote municipal household waste management by waste classification and recycling? A stochastic tripartite evolutionary game analysis. Journal of Environmental Management. 344. 118503–118503. 24 indexed citations

16.

Fan, Ruguo, et al.. (2022). Exploring the coevolution of residents and recyclers in household solid waste recycling: Evolutionary dynamics on a two-layer heterogeneous social network. Waste Management. 157. 279–289. 24 indexed citations

17.

Wang, Yuanyuan, et al.. (2022). The effective subsidy policies for new energy vehicles considering both supply and demand sides and their influence mechanisms: An analytical perspective from the network-based evolutionary game. Journal of Environmental Management. 325(Pt A). 116483–116483. 49 indexed citations

18.

Zhou, Jin, et al.. (2021). Superdiffusion criteria on duplex networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(7). 73108–73108. 10 indexed citations

19.

Wu, Xiaoqun, et al.. (2020). A new SAIR model on complex networks for analysing the 2019 novel coronavirus (COVID-19). Nonlinear Dynamics. 101(3). 1777–1787. 43 indexed citations

20.

Fan, Ruguo. (2006). The Application to Supplier Partner Selection of the Fuzzy Analytic Hierarchy Process Based on the Triangular Fuzzy Numbers Comparative Theory. Logistics Sci-tech. 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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