Ruoyu Wang

7.7k total citations · 4 hit papers
150 papers, 5.7k citations indexed

About

Ruoyu Wang is a scholar working on Health, Toxicology and Mutagenesis, Transportation and Global and Planetary Change. According to data from OpenAlex, Ruoyu Wang has authored 150 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Health, Toxicology and Mutagenesis, 45 papers in Transportation and 36 papers in Global and Planetary Change. Recurrent topics in Ruoyu Wang's work include Urban Green Space and Health (70 papers), Urban Transport and Accessibility (42 papers) and Land Use and Ecosystem Services (31 papers). Ruoyu Wang is often cited by papers focused on Urban Green Space and Health (70 papers), Urban Transport and Accessibility (42 papers) and Land Use and Ecosystem Services (31 papers). Ruoyu Wang collaborates with scholars based in China, United Kingdom and Hong Kong. Ruoyu Wang's co-authors include Ye Liu, Yi Lü, Penghua Liu, Jinbao Zhang, Yao Yao, Yao Yao, Marco Helbich, George Grekousis, Yuan Yuan and Hongsheng Chen and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ruoyu Wang

138 papers receiving 5.6k citations

Hit Papers

Using deep learning to examine street view green and blue... 2019 2026 2021 2023 2019 2019 2023 2025 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruoyu Wang China 39 3.1k 1.6k 1.6k 1.1k 1.0k 150 5.7k
Chris Webster Hong Kong 52 2.1k 0.7× 1.6k 1.0× 2.0k 1.2× 647 0.6× 819 0.8× 280 9.9k
Peter James United States 52 5.0k 1.6× 1.2k 0.7× 1.3k 0.8× 2.1k 1.9× 1.4k 1.3× 207 11.4k
Chinmoy Sarkar Hong Kong 42 1.5k 0.5× 771 0.5× 523 0.3× 549 0.5× 500 0.5× 109 5.2k
Perry Hystad United States 49 7.6k 2.5× 1.1k 0.7× 1.5k 0.9× 2.3k 2.1× 2.4k 2.3× 166 9.5k
Cathryn Tonne Spain 39 3.9k 1.3× 1.1k 0.7× 627 0.4× 1.1k 1.0× 1.0k 1.0× 123 6.2k
Jun Wu United States 46 4.0k 1.3× 481 0.3× 810 0.5× 858 0.8× 984 0.9× 181 6.2k
Ye Liu China 50 2.9k 0.9× 1.9k 1.2× 1.4k 0.8× 927 0.8× 913 0.9× 165 7.2k
Clive E. Sabel United Kingdom 32 1.8k 0.6× 525 0.3× 528 0.3× 338 0.3× 668 0.6× 111 3.7k
Yi Lü China 50 3.9k 1.3× 3.3k 2.0× 2.4k 1.4× 1.3k 1.2× 1.5k 1.5× 240 8.4k
Xiaoying Zheng China 34 1.3k 0.4× 426 0.3× 1.2k 0.7× 164 0.1× 632 0.6× 219 6.3k

Countries citing papers authored by Ruoyu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ruoyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruoyu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruoyu Wang. A scholar is included among the top collaborators of Ruoyu Wang 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 Ruoyu Wang. Ruoyu Wang 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.
Yang, Linchuan, Shuyun Bi, Ya Zhao, Yuan Liang, & Ruoyu Wang. (2025). Time-dependent associations between accessibility to tram stops, proximity to tram tracks, and property prices: From construction to operation. Research in Transportation Business & Management. 59. 101286–101286.
3.
Wu, Wenjie, Mengqiu Cao, Fenglong Wang, & Ruoyu Wang. (2024). Nonlinear influences of landscape configurations and walking access to transit services on travel satisfaction. Transportation Research Part A Policy and Practice. 189. 104232–104232. 5 indexed citations
4.
Wang, Ruoyu, et al.. (2024). The Impacts of Visible Green Spaces on the Mental well-being of University Students. Applied Spatial Analysis and Policy. 17(3). 1105–1127. 8 indexed citations
5.
Wang, Ruoyu, Jing Li, Zhipeng Li, & Qingchao Sun. (2024). Multi-source data-driven technology research on carbon emission dynamics prediction in electric power industry. Applied Mathematics and Nonlinear Sciences. 9(1). 2 indexed citations
6.
Wang, Ruoyu, Claire Cleland, Ruth Weir, et al.. (2024). Rethinking the association between green space and crime using spatial quantile regression modelling: Do vegetation type, crime type, and crime rates matter?. Urban forestry & urban greening. 101. 128523–128523. 7 indexed citations
7.
Bardhan, Mondira, Li Fu, Matthew H.E.M. Browning, et al.. (2024). From space to street: A systematic review of the associations between visible greenery and bluespace in street view imagery and mental health. Environmental Research. 263(Pt 3). 120213–120213. 6 indexed citations
8.
Li, Xiaojiang, et al.. (2024). Interpretable spatial machine learning insights into urban sanitation challenges: A case study of human feces distribution in San Francisco. Sustainable Cities and Society. 113. 105695–105695. 15 indexed citations
9.
Sidhu, Gurnam Kaur, et al.. (2023). Perspectives of Visible Learning for Quality Learning Environment: A Case Study. Environment-Behaviour Proceedings Journal. 8(25). 79–85.
12.
Yao, Yao, Jianfeng Zhou, Qingfeng Guan, et al.. (2023). Estimating China’s poverty reduction efficiency by integrating multi-source geospatial data and deep learning techniques. Geo-spatial Information Science. 27(4). 1000–1016. 8 indexed citations
13.
Wang, Ruoyu, et al.. (2023). Exploring “Equigenesis” in the Associations Between Green Space and Kidney Health Among Middle-Aged and Older Adults Using Street View Data. Innovation in Aging. 8(1). igad130–igad130. 7 indexed citations
14.
Wang, Ruoyu, Shu-Li Xu, Xiang Xiao, et al.. (2022). Exposure to eye-level greenspace reduces health inequalities of high blood pressure: A gender difference perspective. SHILAP Revista de lepidopterología. 1. 100001–100001. 10 indexed citations
15.
Liu, Ye, Tong Xiao, Yuqi Liu, Yao Yao, & Ruoyu Wang. (2021). Natural outdoor environments and subjective well-being in Guangzhou, China: Comparing different measures of access. Urban forestry & urban greening. 59. 127027–127027. 33 indexed citations
16.
17.
Wang, Ruoyu, Yi Lü, Jinbao Zhang, et al.. (2019). The relationship between visual enclosure for neighbourhood street walkability and elders’ mental health in China: Using street view images. Journal of Transport & Health. 13. 90–102. 155 indexed citations
18.
Lü, Yi, et al.. (2019). Disentangling residential self-selection from impacts of built environment characteristics on travel behaviors for older adults. Social Science & Medicine. 238. 112515–112515. 74 indexed citations
19.
Wang, Ruoyu, Bo‐Yi Yang, Yao Yao, et al.. (2019). Residential greenness, air pollution and psychological well-being among urban residents in Guangzhou, China. The Science of The Total Environment. 711. 134843–134843. 138 indexed citations
20.

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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