Feipeng Guo

487 total citations
24 papers, 344 citations indexed

About

Feipeng Guo is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Feipeng Guo has authored 24 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 9 papers in Artificial Intelligence and 8 papers in Sociology and Political Science. Recurrent topics in Feipeng Guo's work include Recommender Systems and Techniques (9 papers), Digital Marketing and Social Media (5 papers) and Customer churn and segmentation (4 papers). Feipeng Guo is often cited by papers focused on Recommender Systems and Techniques (9 papers), Digital Marketing and Social Media (5 papers) and Customer churn and segmentation (4 papers). Feipeng Guo collaborates with scholars based in China, Canada and Hong Kong. Feipeng Guo's co-authors include Liang Xiao, Shengnan Liu, Chen Zhang, Shaobo Ji, Zifan Wang, Zifan Wang, Chunhua Ju, Xiaopeng Wang and Zifan Wang and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Journal of Medical Internet Research and Sustainability.

In The Last Decade

Feipeng Guo

23 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feipeng Guo China 8 118 91 68 66 63 24 344
Hua Xiao China 10 45 0.4× 57 0.6× 104 1.5× 57 0.9× 22 0.3× 20 294
Li Xiong China 8 82 0.7× 30 0.3× 29 0.4× 69 1.0× 90 1.4× 30 297
Leslie R. Fine United States 6 135 1.1× 60 0.7× 55 0.8× 77 1.2× 39 0.6× 8 361
Abid Hussain Denmark 12 102 0.9× 33 0.4× 27 0.4× 80 1.2× 37 0.6× 32 298
Yinghui Yang United States 9 89 0.8× 108 1.2× 116 1.7× 89 1.3× 22 0.3× 21 293
Florent Garcin Switzerland 11 95 0.8× 83 0.9× 230 3.4× 150 2.3× 15 0.2× 14 402
Shubhamoy Dey India 14 75 0.6× 45 0.5× 190 2.8× 328 5.0× 26 0.4× 39 489
Hua Yuan China 10 139 1.2× 25 0.3× 95 1.4× 135 2.0× 11 0.2× 30 318
Michael Benisch United States 11 195 1.7× 55 0.6× 51 0.8× 127 1.9× 25 0.4× 29 367

Countries citing papers authored by Feipeng Guo

Since Specialization
Citations

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

Fields of papers citing papers by Feipeng Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feipeng Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Feipeng Guo. A scholar is included among the top collaborators of Feipeng Guo 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 Feipeng Guo. Feipeng Guo 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.
Guo, Feipeng, et al.. (2024). KEMB-Rec: Knowledge-Enhanced Explainable Multibehavior Recommendation With Graph Contrastive Learning. IEEE Internet of Things Journal. 12(4). 3563–3576. 1 indexed citations
2.
Guo, Feipeng, et al.. (2024). Public Opinion About COVID-19 on a Microblog Platform in China: Topic Modeling and Multidimensional Sentiment Analysis of Social Media. Journal of Medical Internet Research. 26. e47508–e47508. 5 indexed citations
3.
Guo, Feipeng, et al.. (2024). Dual-view multi-modal contrastive learning for graph-based recommender systems. Computers & Electrical Engineering. 116. 109213–109213. 14 indexed citations
4.
Guo, Feipeng, et al.. (2024). Joint friend and item recommendation based on multidimensional feature reciprocal interaction in social e-commerce. Electronic Commerce Research and Applications. 65. 101406–101406. 3 indexed citations
5.
Guo, Feipeng, et al.. (2023). A link prediction method based on topological nearest-neighbors similarity in directed networks. Journal of Computational Science. 69. 102002–102002. 6 indexed citations
6.
7.
Guo, Feipeng, et al.. (2022). Precise Supervision of Enterprise Environmental Protection Behavior Based on Boolean Matrix Factorization under Low Carbon Background. International Journal of Environmental Research and Public Health. 19(13). 7739–7739. 1 indexed citations
8.
Guo, Feipeng, et al.. (2022). Path extension similarity link prediction method based on matrix algebra in directed networks. Computer Communications. 187. 83–92. 67 indexed citations
9.
Guo, Feipeng, et al.. (2022). Research on Determining the Critical Influencing Factors of Carbon Emission Integrating GRA with an Improved STIRPAT Model: Taking the Yangtze River Delta as an Example. International Journal of Environmental Research and Public Health. 19(14). 8791–8791. 21 indexed citations
10.
11.
Guo, Feipeng, et al.. (2019). User-based collaborative filtering recommendation method combining with privacy concerns intensity in mobile commerce. International Journal of Wireless and Mobile Computing. 17(1). 63–63. 6 indexed citations
12.
Xiao, Liang, et al.. (2019). The Effects of Online Shopping Context Cues on Consumers’ Purchase Intention for Cross-Border E-Commerce Sustainability. Sustainability. 11(10). 2777–2777. 128 indexed citations
13.
Xiao, Liang, et al.. (2018). Mobile Personalized Service Recommender Model Based on Sentiment Analysis and Privacy Concern. Mobile Information Systems. 2018. 1–13. 6 indexed citations
14.
Guo, Feipeng, et al.. (2016). A novel e-commerce customer continuous purchase recommendation model research based on colony clustering. International Journal of Wireless and Mobile Computing. 11(4). 309–309. 4 indexed citations
15.
Guo, Feipeng, et al.. (2015). A Novel Contextual Information Recommendation Model and Its Application in e-Commerce Customer Satisfaction Management. Discrete Dynamics in Nature and Society. 2015. 1–11. 8 indexed citations
16.
Guo, Feipeng, et al.. (2013). Partner Selection Optimization Model of Agricultural Enterprises in Supply Chain. Advance Journal of Food Science and Technology. 5(10). 1285–1291. 3 indexed citations
17.
Guo, Feipeng, et al.. (2013). E-commerce customer churn prediction model combined with individual activity. Systems Engineering - Theory & Practice. 4 indexed citations
18.
Guo, Feipeng, et al.. (2012). Combining Rough Set and Principal Component Analysis for Preprocessing on Commercial Data Stream. Journal of Convergence Information Technology. 7(2). 132–140. 2 indexed citations
19.
Ju, Chunhua & Feipeng Guo. (2010). Distributed data mining model based on Support Vector Machines. Systems Engineering - Theory & Practice. 3 indexed citations
20.
Guo, Feipeng, et al.. (2008). Research and Application of Customer Churn Analysis in Chain Retail Industry. 13. 670–673. 2 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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