Shenjun Yao

1.9k total citations · 1 hit paper
42 papers, 1.4k citations indexed

About

Shenjun Yao is a scholar working on Transportation, Global and Planetary Change and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Shenjun Yao has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Transportation, 16 papers in Global and Planetary Change and 12 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Shenjun Yao's work include Urban Transport and Accessibility (16 papers), Traffic and Road Safety (12 papers) and Impact of Light on Environment and Health (7 papers). Shenjun Yao is often cited by papers focused on Urban Transport and Accessibility (16 papers), Traffic and Road Safety (12 papers) and Impact of Light on Environment and Health (7 papers). Shenjun Yao collaborates with scholars based in China, Hong Kong and United States. Shenjun Yao's co-authors include Jianping Wu, Bailang Yu, Becky P.Y. Loo, Zuoqi Chen, Bin Wu, Chengshu Yang, Xingjian Qian, Congxiao Wang, Yuyu Zhou and W.W.Y. Lam and has published in prestigious journals such as Journal of Cleaner Production, International Journal of Environmental Research and Public Health and Sustainability.

In The Last Decade

Shenjun Yao

38 papers receiving 1.4k citations

Hit Papers

An extended time series (2000–2018) of global NPP-VIIRS-l... 2021 2026 2022 2024 2021 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An extended time series (2000–2018) of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration
    2021 549 citations Zuoqi Chen, Bailang Yu et al. Earth system science data profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shenjun Yao China 19 751 541 282 244 196 42 1.4k
Fu Ren China 24 832 1.1× 740 1.4× 135 0.5× 154 0.6× 329 1.7× 66 2.1k
George Grekousis China 18 618 0.8× 437 0.8× 218 0.8× 43 0.2× 534 2.7× 43 1.6k
Muhammad Tauhidur Rahman Saudi Arabia 20 708 0.9× 227 0.4× 490 1.7× 204 0.8× 250 1.3× 46 1.5k
Chao Wu China 25 1.1k 1.5× 784 1.4× 251 0.9× 47 0.2× 473 2.4× 68 2.3k
Jason Parent United States 16 1.2k 1.7× 301 0.6× 448 1.6× 41 0.2× 426 2.2× 32 2.1k
José Alberto Quintanilha Brazil 15 500 0.7× 357 0.7× 196 0.7× 39 0.2× 64 0.3× 94 1.3k
John Radke United States 14 368 0.5× 329 0.6× 183 0.6× 25 0.1× 156 0.8× 43 1.1k
Alistair Ford United Kingdom 14 1.0k 1.3× 236 0.4× 309 1.1× 39 0.2× 175 0.9× 39 1.7k
Julian Hagenauer Germany 14 305 0.4× 382 0.7× 204 0.7× 29 0.1× 62 0.3× 21 1.1k

Countries citing papers authored by Shenjun Yao

Since Specialization
Citations

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

Fields of papers citing papers by Shenjun Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenjun Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Shenjun Yao. A scholar is included among the top collaborators of Shenjun Yao 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 Shenjun Yao. Shenjun Yao 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.
Fang, Lei, et al.. (2025). Spatial and social equity evaluation of sports facilities in Shanghai: An accessibility-driven assessment. Sustainable Cities and Society. 132. 106791–106791.
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Yao, Shenjun, et al.. (2025). How does the built environment affect pedestrian perception of road safety on sidewalks? Evidence from eye-tracking experiments. Transportation Research Part F Traffic Psychology and Behaviour. 110. 57–73. 1 indexed citations
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Wu, Jianping, et al.. (2024). Using UAV images and deep learning in investigating potential breeding sites of Aedes albopictus. Acta Tropica. 255. 107234–107234. 3 indexed citations
6.
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Qi, Xiaojuan, et al.. (2023). Comprehensive Dynamic Influence of Multiple Meteorological Factors on the Detection Rate of Bacterial Foodborne Diseases under Spatio-Temporal Heterogeneity. International Journal of Environmental Research and Public Health. 20(5). 4321–4321. 4 indexed citations
8.
9.
Chen, Zuoqi, Bailang Yu, Chengshu Yang, et al.. (2021). An extended time series (2000–2018) of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration. Earth system science data. 13(3). 889–906. 549 indexed citations breakdown →
10.
Zhou, Yibin, et al.. (2021). Analysis of the spatial distribution of Aedes albopictus in an urban area of Shanghai, China. Parasites & Vectors. 14(1). 501–501. 9 indexed citations
11.
Liu, Hui, et al.. (2021). How Does Low-Density Urbanization Reduce the Financial Sustainability of Chinese Cities? A Debt Perspective. Land. 10(9). 981–981. 5 indexed citations
12.
Hu, Yi, Lili Xu, Hào Pān, et al.. (2020). Transmission center and driving factors of hand, foot, and mouth disease in China: A combined analysis. PLoS neglected tropical diseases. 14(3). e0008070–e0008070. 1 indexed citations
13.
Wang, Jinzi, Xingjian Qian, Xizhi Zhao, et al.. (2019). Investigating the Potential of Using POI and Nighttime Light Data to Map Urban Road Safety at the Micro-Level: A Case in Shanghai, China. Sustainability. 11(17). 4739–4739. 12 indexed citations
14.
Zhao, Xizhi, Bailang Yu, Yan Liu, et al.. (2018). NPP-VIIRS DNB Daily Data in Natural Disaster Assessment: Evidence from Selected Case Studies. Remote Sensing. 10(10). 1526–1526. 105 indexed citations
15.
Chen, Jie, et al.. (2018). Study on spatial distribution of residential care facilities in Shanghai. Huadong Shifan Daxue xuebao. Ziran kexue ban. 2018(3). 157. 2 indexed citations
16.
Wu, Bin, Bailang Yu, Qiusheng Wu, et al.. (2017). An Extended Minimum Spanning Tree method for characterizing local urban patterns. International Journal of Geographical Information Systems. 32(3). 450–475. 48 indexed citations
17.
Wu, Jian, et al.. (2017). FCD-based analysis of taxi operation characteristics: A case of Shanghai. Huadong Shifan Daxue xuebao. Ziran kexue ban. 133. 3 indexed citations
18.
Yao, Shenjun, Becky P.Y. Loo, & W.W.Y. Lam. (2014). Measures of activity-based pedestrian exposure to the risk of vehicle-pedestrian collisions: Space-time path vs. potential path tree methods. Accident Analysis & Prevention. 75. 320–332. 55 indexed citations
19.
Zhong, Haidong, Jie Yin, Jianping Wu, et al.. (2011). Spatial analysis for crime pattern of metropolis in transition using police records and GIS: A case study of Shanghai, China. International Journal of Digital Content Technology and its Applications. 5(2). 93–105. 8 indexed citations
20.
Zhong, Haidong, et al.. (2011). Spatial Analysis for Crime Pattern of Metropolis in Transition Using Police Records and GIS: a Case Study of Shanghai, China. International Journal of Digital Content Technology and its Applications. 5(2). 93–105. 5 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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