Shuliang Ren

566 total citations
21 papers, 417 citations indexed

About

Shuliang Ren is a scholar working on Transportation, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Shuliang Ren has authored 21 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Transportation, 6 papers in Global and Planetary Change and 5 papers in Environmental Engineering. Recurrent topics in Shuliang Ren's work include Human Mobility and Location-Based Analysis (8 papers), Urban Transport and Accessibility (5 papers) and Impact of Light on Environment and Health (4 papers). Shuliang Ren is often cited by papers focused on Human Mobility and Location-Based Analysis (8 papers), Urban Transport and Accessibility (5 papers) and Impact of Light on Environment and Health (4 papers). Shuliang Ren collaborates with scholars based in China, Japan and Germany. Shuliang Ren's co-authors include Qingfeng Guan, Yao Yao, Ying Hu, Chenglong Zheng, Xiaotong Zhang, Xiaoqing Song, Lirong Chen, Yao Yao, Ganmin Yin and Peng Luo and has published in prestigious journals such as The Science of The Total Environment, Landscape and Urban Planning and Resources Conservation and Recycling.

In The Last Decade

Shuliang Ren

21 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuliang Ren China 11 134 131 100 73 70 21 417
Alessandro Crivellari Austria 12 196 1.5× 105 0.8× 37 0.4× 38 0.5× 89 1.3× 19 529
Jiannan Cai China 16 99 0.7× 156 1.2× 101 1.0× 22 0.3× 46 0.7× 37 584
Samson Mathew India 13 173 1.3× 86 0.7× 38 0.4× 24 0.3× 24 0.3× 54 584
Coco Yin Tung Kwok Hong Kong 10 109 0.8× 47 0.4× 70 0.7× 30 0.4× 18 0.3× 19 328
Hanchao Zhang China 12 120 0.9× 41 0.3× 25 0.3× 146 2.0× 28 0.4× 38 535
Fei Tao China 10 100 0.7× 96 0.7× 78 0.8× 56 0.8× 19 0.3× 24 352
Zhongyi Wang China 12 115 0.9× 64 0.5× 59 0.6× 60 0.8× 39 0.6× 23 461
Shenghua Xu China 12 111 0.8× 40 0.3× 25 0.3× 36 0.5× 29 0.4× 47 460
Yingxia Pu China 11 164 1.2× 43 0.3× 99 1.0× 15 0.2× 47 0.7× 35 519
Xizhi Zhao China 9 316 2.4× 171 1.3× 62 0.6× 29 0.4× 12 0.2× 15 502

Countries citing papers authored by Shuliang Ren

Since Specialization
Citations

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

Fields of papers citing papers by Shuliang Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuliang Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Shuliang Ren. A scholar is included among the top collaborators of Shuliang 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 Shuliang Ren. Shuliang 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.
Bao, Yi, et al.. (2025). Quantifying the impact of building material stock and green infrastructure on urban heat island intensity. Building and Environment. 280. 113068–113068. 1 indexed citations
2.
Ren, Shuliang, et al.. (2025). Spatially-optimized greenspace for more effective urban heat mitigation: Insights from regional cooling heterogeneity via explainable machine learning. Landscape and Urban Planning. 256. 105296–105296. 8 indexed citations
3.
Yin, Ganmin, et al.. (2025). Traffic prediction and road space optimization for the integration of dockless bike-sharing and subway. Sustainable Cities and Society. 121. 106162–106162. 1 indexed citations
4.
Bao, Yi, Hang Du, Zhou Huang, et al.. (2024). Assessing and mitigating the carbon emissions from illegal urban buildings: A spatial lifecycle analysis. Resources Conservation and Recycling. 215. 108097–108097. 3 indexed citations
5.
Yin, Ganmin, Zhou Huang, Chen Fu, et al.. (2024). Examining active travel behavior through explainable machine learning: Insights from Beijing, China. Transportation Research Part D Transport and Environment. 127. 104038–104038. 25 indexed citations
6.
Huang, Zhou, et al.. (2024). Monthly electricity consumption data at 1 km × 1 km grid for 280 cities in China from 2012 to 2019. Scientific Data. 11(1). 8 indexed citations
7.
Guan, Qingfeng, et al.. (2024). Predicting short-term PM 2.5 concentrations at fine temporal resolutions using a multi-branch temporal graph convolutional neural network. International Journal of Geographical Information Systems. 38(4). 778–801. 8 indexed citations
8.
Yao, Yao, et al.. (2023). Gauging urban resilience in the United States during the COVID-19 pandemic via social network analysis. Cities. 138. 104361–104361. 20 indexed citations
9.
Ren, Shuliang, et al.. (2023). Matching end-of-life household vehicle generation and recycling capacity in Chinese cities: A spatio-temporal analysis for 2022–2050. The Science of The Total Environment. 899. 165498–165498. 10 indexed citations
11.
Yao, Yao, et al.. (2023). A site selection framework for urban power substation at micro‐scale using spatial optimization strategy and geospatial big data. Transactions in GIS. 27(6). 1662–1679. 7 indexed citations
12.
Yao, Yao, Yuanyuan Li, Shuliang Ren, et al.. (2023). Fast optimization for large scale logistics in complex urban systems using the hybrid sparrow search algorithm. International Journal of Geographical Information Systems. 37(6). 1420–1448. 12 indexed citations
13.
Guan, Qingfeng, Shuliang Ren, Lirong Chen, et al.. (2022). Recognizing Multivariate Geochemical Anomalies Related to Mineralization by Using Deep Unsupervised Graph Learning. Natural Resources Research. 31(5). 2225–2245. 35 indexed citations
14.
Wu, Yuyang, et al.. (2022). How do urban services facilities affect social segregation among people of different economic levels? A case study of Shenzhen city. Environment and Planning B Urban Analytics and City Science. 50(6). 1502–1517. 13 indexed citations
15.
Guan, Qingfeng, et al.. (2022). Understanding China’s urban functional patterns at the county scale by using time-series social media data. Journal of Spatial Science. 68(4). 631–649. 4 indexed citations
16.
Zheng, Chenglong, Yao Yao, Xiaotong Zhang, et al.. (2021). Analyzing the correlation between visual space and residents' psychology in Wuhan, China using street-view images and deep-learning technique. City and Environment Interactions. 11. 100069–100069. 109 indexed citations
17.
Guan, Qingfeng, et al.. (2021). A spatial-compositional feature fusion convolutional autoencoder for multivariate geochemical anomaly recognition. Computers & Geosciences. 156. 104890–104890. 25 indexed citations
18.
Yao, Yao, Peng Luo, Shuliang Ren, et al.. (2021). Classifying land-use patterns by integrating time-series electricity data and high-spatial resolution remote sensing imagery. International Journal of Applied Earth Observation and Geoinformation. 106. 102664–102664. 48 indexed citations
19.
Ren, Shuliang, et al.. (2021). A comparison of two deep-learning-based urban perception models: which one is better?. 1(1). 30 indexed citations
20.
Yao, Yao, et al.. (2021). Delineating urban job-housing patterns at a parcel scale with street view imagery. International Journal of Geographical Information Systems. 35(10). 1927–1950. 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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