Fu Ren

2.7k total citations · 2 hit papers
66 papers, 2.1k citations indexed

About

Fu Ren is a scholar working on Transportation, Global and Planetary Change and Economics and Econometrics. According to data from OpenAlex, Fu Ren has authored 66 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Transportation, 19 papers in Global and Planetary Change and 14 papers in Economics and Econometrics. Recurrent topics in Fu Ren's work include Land Use and Ecosystem Services (15 papers), Urban Transport and Accessibility (12 papers) and Geographic Information Systems Studies (10 papers). Fu Ren is often cited by papers focused on Land Use and Ecosystem Services (15 papers), Urban Transport and Accessibility (12 papers) and Geographic Information Systems Studies (10 papers). Fu Ren collaborates with scholars based in China, United States and Hong Kong. Fu Ren's co-authors include Qingyun Du, Chao Wu, Xinyue Ye, Xiangyuan Ma, Xueling Wu, Yuliang Xi, Luwei Feng, Yumiao Wang, Ruiqing Niu and Renfei Yang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Environmental Management.

In The Last Decade

Fu Ren

64 papers receiving 2.0k citations

Hit Papers

Check-in behaviour and spatio-temporal vibrancy: An explo... 2018 2026 2020 2023 2018 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fu Ren China 24 832 740 380 329 295 66 2.1k
Qingyun Du China 30 1.1k 1.4× 818 1.1× 325 0.9× 356 1.1× 453 1.5× 138 3.3k
M.F.A.M. van Maarseveen Netherlands 30 616 0.7× 1.3k 1.8× 152 0.4× 384 1.2× 164 0.6× 108 2.8k
Chao Wu China 25 1.1k 1.3× 784 1.1× 109 0.3× 473 1.4× 466 1.6× 68 2.3k
Mario Cools Belgium 31 520 0.6× 1.3k 1.8× 110 0.3× 274 0.8× 239 0.8× 123 2.6k
Ali Asghar Alesheikh Iran 25 845 1.0× 337 0.5× 662 1.7× 150 0.5× 88 0.3× 204 3.1k
Yoshitsugu Hayashi Japan 21 507 0.6× 992 1.3× 100 0.3× 198 0.6× 464 1.6× 152 2.3k
Jamal Jokar Arsanjani Denmark 32 2.1k 2.5× 551 0.7× 297 0.8× 383 1.2× 162 0.5× 85 3.3k
Sugie Lee South Korea 27 643 0.8× 1.3k 1.7× 116 0.3× 627 1.9× 325 1.1× 178 2.7k
Li Yin United States 21 529 0.6× 888 1.2× 68 0.2× 662 2.0× 220 0.7× 73 2.1k
Mohammad Taleai Iran 19 546 0.7× 417 0.6× 129 0.3× 141 0.4× 118 0.4× 65 1.3k

Countries citing papers authored by Fu Ren

Since Specialization
Citations

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

Fields of papers citing papers by Fu Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fu Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Fu Ren. A scholar is included among the top collaborators of Fu Ren 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 Fu Ren. Fu Ren 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.
Yan, Liang, et al.. (2024). Urban resilience assessment framework and spatiotemporal dynamics in Hubei, China. Scientific Reports. 14(1). 31391–31391. 4 indexed citations
3.
Ren, Fu, et al.. (2023). The effect of large scale photovoltaic-based projects on poverty reduction: Empirical evidence from China. Renewable Energy. 218. 119294–119294. 13 indexed citations
4.
Wang, Yong, et al.. (2023). Recognition and Semantic Information Extraction for Map Based on Deep Learning. Proceedings of the ICA. 5. 1–8. 2 indexed citations
5.
Du, Qingyun, et al.. (2023). Geolocated social media data for measuring park visitation in Shenzhen, China. Urban forestry & urban greening. 88. 128069–128069. 9 indexed citations
6.
Fu, Cheng, et al.. (2023). What Do We Know about Multidimensional Poverty in China: Its Dynamics, Causes, and Implications for Sustainability. ISPRS International Journal of Geo-Information. 12(2). 78–78. 10 indexed citations
7.
Yang, Renfei, et al.. (2021). China's ecosystem service value in 1992–2018: Pattern and anthropogenic driving factors detection using Bayesian spatiotemporal hierarchy model. Journal of Environmental Management. 302(Pt B). 114089–114089. 54 indexed citations
8.
Yang, Renfei, Fu Ren, Xiangyuan Ma, et al.. (2021). Explaining the longevity characteristics in China from a geographical perspective: A multi-scale geographically weighted regression analysis. Geospatial health. 16(2). 4 indexed citations
9.
Wang, Mingjun, et al.. (2020). A points of interest matching method using a multivariate weighting function with gradient descent optimization. Transactions in GIS. 25(1). 359–381. 8 indexed citations
10.
Wang, Yumiao, Xueling Wu, Zhangjian Chen, et al.. (2019). Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China. International Journal of Environmental Research and Public Health. 16(3). 368–368. 88 indexed citations
11.
Zhu, Yishu, et al.. (2016). Location Optimization Using a Hierarchical Location-Allocation Model for Trauma Centers in Shenzhen, China. ISPRS International Journal of Geo-Information. 5(10). 190–190. 9 indexed citations
12.
Du, Qingyun, et al.. (2016). Spatial Patterns of Ischemic Heart Disease in Shenzhen, China: A Bayesian Multi-Disease Modelling Approach to Inform Health Planning Policies. International Journal of Environmental Research and Public Health. 13(4). 436–436. 9 indexed citations
13.
Wu, Chao, et al.. (2016). Spatial and Social Media Data Analytics of Housing Prices in Shenzhen, China. PLoS ONE. 11(10). e0164553–e0164553. 81 indexed citations
14.
Hu, Tao, Qingyun Du, Fu Ren, et al.. (2014). Spatial Analysis of the Home Addresses of Hospital Patients with Hepatitis B Infection or Hepatoma in Shenzhen, China from 2010 to 2012. International Journal of Environmental Research and Public Health. 11(3). 3143–3155. 9 indexed citations
15.
Xi, Yuliang, et al.. (2014). Spatial Analysis of the Distribution, Risk Factors and Access to Medical Resources of Patients with Hepatitis B in Shenzhen, China. International Journal of Environmental Research and Public Health. 11(11). 11505–11527. 13 indexed citations
16.
Wang, Yanxia, Qingyun Du, Fu Ren, et al.. (2014). Spatio-Temporal Variation and Prediction of Ischemic Heart Disease Hospitalizations in Shenzhen, China. International Journal of Environmental Research and Public Health. 11(5). 4799–4824. 12 indexed citations
17.
Wu, Xueling & Fu Ren. (2010). Mechanism and Methods of Outdoor AR Spatial Information Visualization Representation. 6. 272–276. 4 indexed citations
18.
Ren, Fu. (2009). Establish Standards System of Platform on Urban Geography Information Sharing. 1 indexed citations
19.
Ren, Fu. (2008). Making and Application of the Basic Universal Urban Spatial Grid. Geospatial Information. 1 indexed citations
20.
Ren, Fu. (2006). Geographic Information Service Model in Mobile Context. 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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