Pengjun Zhao

7.9k total citations · 4 hit papers
180 papers, 5.9k citations indexed

About

Pengjun Zhao is a scholar working on Transportation, Building and Construction and Global and Planetary Change. According to data from OpenAlex, Pengjun Zhao has authored 180 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Transportation, 31 papers in Building and Construction and 26 papers in Global and Planetary Change. Recurrent topics in Pengjun Zhao's work include Urban Transport and Accessibility (107 papers), Transportation Planning and Optimization (55 papers) and Human Mobility and Location-Based Analysis (34 papers). Pengjun Zhao is often cited by papers focused on Urban Transport and Accessibility (107 papers), Transportation Planning and Optimization (55 papers) and Human Mobility and Location-Based Analysis (34 papers). Pengjun Zhao collaborates with scholars based in China, United Kingdom and Hong Kong. Pengjun Zhao's co-authors include Shengxiao Li, Mengzhu Zhang, Haoyu Hu, Bin Lü, Gert de Roo, Peilin Li, Zhao Yu, Haiyan Lu, Liangen Zeng and Qiyang Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Pengjun Zhao

169 papers receiving 5.7k citations

Hit Papers

Examining non-linear built environment effects on elderly... 2020 2026 2022 2024 2020 2021 2023 2024 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengjun Zhao China 46 3.4k 1.2k 1.1k 910 684 180 5.9k
Md. Kamruzzaman Australia 44 2.9k 0.8× 611 0.5× 1.2k 1.1× 1.1k 1.3× 1.1k 1.5× 176 6.9k
Martin Dijst Netherlands 52 4.9k 1.4× 1.0k 0.9× 1.7k 1.5× 1.4k 1.6× 1.2k 1.8× 164 8.5k
Jeffrey Kenworthy Australia 33 4.2k 1.2× 980 0.8× 910 0.8× 1.6k 1.7× 612 0.9× 131 6.5k
Petter Næss Norway 40 3.1k 0.9× 481 0.4× 779 0.7× 1000 1.1× 548 0.8× 136 4.6k
Dominic Stead Netherlands 39 2.2k 0.6× 735 0.6× 960 0.9× 926 1.0× 235 0.3× 151 5.3k
Yan Song United States 50 3.3k 1.0× 1.9k 1.7× 2.6k 2.4× 1.4k 1.5× 1.4k 2.1× 192 7.9k
Becky P.Y. Loo Hong Kong 39 3.2k 0.9× 587 0.5× 508 0.5× 924 1.0× 475 0.7× 245 5.2k
Siqi Zheng China 42 1.8k 0.5× 3.0k 2.6× 579 0.5× 568 0.6× 1.0k 1.5× 162 6.2k
Antonio Páez Canada 48 4.9k 1.4× 1.9k 1.6× 930 0.8× 1.0k 1.1× 663 1.0× 197 7.7k
Linchuan Yang China 42 3.0k 0.9× 694 0.6× 1.1k 1.0× 1.1k 1.3× 1.2k 1.7× 159 5.5k

Countries citing papers authored by Pengjun Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Pengjun Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengjun Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Pengjun Zhao. A scholar is included among the top collaborators of Pengjun Zhao 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 Pengjun Zhao. Pengjun Zhao 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
2.
Gong, Zhaoya, et al.. (2025). Multi-spatial urban function modeling: A multi-modal deep network approach for transfer and multi-task learning. International Journal of Applied Earth Observation and Geoinformation. 136. 104397–104397.
3.
Sun, Zongyao, et al.. (2025). Revealing the spatiotemporal pattern of urban vibrancy at the urban agglomeration scale: Evidence from the Pearl River Delta, China. Applied Geography. 181. 103694–103694. 5 indexed citations
4.
Zhao, Pengjun, et al.. (2024). Discovering temporal-spatial features of jobs-housing relationship from a regional perspective: A nationwide study. Journal of Transport Geography. 121. 104020–104020.
5.
Zhao, Pengjun, Mengzhu Zhang, Qiyang Liu, et al.. (2024). Exploring collective activity space and its spatial heterogeneity using mobile phone signaling Data: A case of Shenzhen, China. Travel Behaviour and Society. 38. 100920–100920. 6 indexed citations
6.
Zhang, Haoran, Pengjun Zhao, Wenqian Zhang, et al.. (2024). Promoting sustainable solar-energy development in harmony with global threatened bird ranges. 1(2). 100017–100017. 9 indexed citations
7.
Zhao, Pengjun, Yunlin Li, & Yu Zhang. (2024). Ships are projected to navigate whole year-round along the North Sea route by 2100. Communications Earth & Environment. 5(1). 5 indexed citations
8.
9.
Zhao, Pengjun, et al.. (2023). Spatiotemporal characteristics and driving factors of CO2 emissions from road freight transportation. Transportation Research Part D Transport and Environment. 125. 103983–103983. 34 indexed citations
10.
Lu, Haiyan, Pengjun Zhao, Haoyu Hu, Jie Yan, & Xiaoping Chen. (2023). Exploring the heterogeneous impact of road infrastructure on rural residents’ income: Evidence from nationwide panel data in China. Transport Policy. 134. 155–166. 27 indexed citations
11.
Zhao, Hongbo, et al.. (2023). Urban flood risk differentiation under land use scenario simulation. iScience. 26(4). 106479–106479. 39 indexed citations
12.
Liu, Zhengying, Pengjun Zhao, Qiyang Liu, Zhangyuan He, & Tingting Kang. (2023). Uncovering spatial and social gaps in rural mobility via mobile phone big data. Scientific Reports. 13(1). 6469–6469. 10 indexed citations
13.
Yuan, Dandan, Pengjun Zhao, Zhao Yu, & Qiyang Liu. (2023). Villagers' travel burden and the built environment in rural China: Evidence from a national level survey. Journal of Transport Geography. 113. 103717–103717. 5 indexed citations
14.
Zhao, Pengjun & Dandan Yuan. (2023). Population Growth and Sustainable Transport in China. 3 indexed citations
15.
Liu, Zhengying, et al.. (2023). Exploring the spatial characteristics of the human mobility network in rural settings of China's Greater Bay Area. Journal of Transport Geography. 112. 103699–103699. 9 indexed citations
16.
Yu, Zhao, et al.. (2023). The role of small towns in rural villagers’ use of public services in China: Evidence from a national-level survey. Journal of Rural Studies. 100. 103011–103011. 23 indexed citations
17.
Liu, Qiyang, Zhengying Liu, Siyi Lin, & Pengjun Zhao. (2022). Perceived accessibility and mental health consequences of COVID-19 containment policies. Journal of Transport & Health. 25. 101354–101354. 41 indexed citations
18.
Chen, Jun, et al.. (2022). Technical connotation and research agenda of natural resources spatio-temporal information. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Zhao, Pengjun & Philippa Howden‐Chapman. (2010). Social inequalities in mobility: the impact of the hukou system on migrants' job accessibility and commuting costs in Beijing. International Development Planning Review. 32(3-4). 363–384. 84 indexed citations
20.
Zhao, Pengjun, Bin Lü, & Johan Woltjer. (2009). Growth management and decentralisation: An assessment of urban containment policies in Beijing in the 1990s. International Development Planning Review. 31(1). 55–79. 16 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026