Jinpei Ou

3.7k total citations · 2 hit papers
32 papers, 3.1k citations indexed

About

Jinpei Ou is a scholar working on Global and Planetary Change, Environmental Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Jinpei Ou has authored 32 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Global and Planetary Change, 13 papers in Environmental Engineering and 12 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Jinpei Ou's work include Land Use and Ecosystem Services (17 papers), Air Quality and Health Impacts (9 papers) and Urban Transport and Accessibility (9 papers). Jinpei Ou is often cited by papers focused on Land Use and Ecosystem Services (17 papers), Air Quality and Health Impacts (9 papers) and Urban Transport and Accessibility (9 papers). Jinpei Ou collaborates with scholars based in China, Hong Kong and United States. Jinpei Ou's co-authors include Xiaoping Liu, Xia Li, Yimin Chen, Xiaocong Xu, Shuanjin Wang, Xun Liang, Fengsong Pei, Shaoying Li, Shaojian Wang and Chunshan Zhou and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Jinpei Ou

31 papers receiving 3.0k citations

Hit Papers

A future land use simulation model (FLUS) for simulating ... 2016 2026 2019 2022 2017 2016 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinpei Ou China 22 2.3k 844 825 681 519 32 3.1k
Limin Jiao China 37 2.6k 1.2× 1.0k 1.2× 1.2k 1.5× 788 1.2× 428 0.8× 103 3.9k
Kaifang Shi China 34 3.6k 1.6× 1.4k 1.6× 1.0k 1.3× 1.6k 2.3× 563 1.1× 107 4.7k
Xiaocong Xu China 22 3.5k 1.6× 1.1k 1.4× 910 1.1× 488 0.7× 965 1.9× 51 4.7k
Manchun Li China 33 2.1k 0.9× 621 0.7× 575 0.7× 232 0.3× 605 1.2× 131 3.1k
Fengsong Pei China 17 3.0k 1.3× 735 0.9× 616 0.7× 336 0.5× 1.1k 2.0× 25 3.5k
Yi’na Hu China 23 2.5k 1.1× 544 0.6× 877 1.1× 212 0.3× 954 1.8× 47 3.1k
Yongxian Su China 22 1.2k 0.5× 968 1.1× 563 0.7× 260 0.4× 401 0.8× 61 2.3k
Haiwei Yin China 28 2.1k 0.9× 1.5k 1.8× 1.5k 1.8× 174 0.3× 691 1.3× 102 3.2k
Muye Gan China 29 1.8k 0.8× 657 0.8× 526 0.6× 209 0.3× 737 1.4× 57 2.7k
Kangning Huang China 18 1.6k 0.7× 706 0.8× 641 0.8× 157 0.2× 313 0.6× 41 2.5k

Countries citing papers authored by Jinpei Ou

Since Specialization
Citations

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

Fields of papers citing papers by Jinpei Ou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinpei Ou

This figure shows the co-authorship network connecting the top 25 collaborators of Jinpei Ou. A scholar is included among the top collaborators of Jinpei Ou 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 Jinpei Ou. Jinpei Ou 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.
Ou, Jinpei, et al.. (2025). Large-scale building-level electricity consumption estimation for multiple building types: A case study from Dongguan, China. Sustainable Cities and Society. 121. 106224–106224. 1 indexed citations
2.
Ou, Jinpei, et al.. (2025). Large disparities in spatiotemporal distributions of building carbon emissions across China. Building and Environment. 274. 112778–112778. 2 indexed citations
4.
Zheng, Yupeng, Xucai Zhang, Jinpei Ou, & Xiaoping Liu. (2024). Identifying building function using multisource data: A case study of China's three major urban agglomerations. Sustainable Cities and Society. 108. 105498–105498. 16 indexed citations
5.
Ou, Jinpei, et al.. (2024). Peak patterns and drivers of city-level daily CO2 emissions in China. Journal of Cleaner Production. 469. 143206–143206. 5 indexed citations
6.
Huang, Xiaolei, et al.. (2023). Exploring the Effects of Socioeconomic Factors and Urban Forms on CO2 Emissions in Shrinking and Growing Cities. Sustainability. 16(1). 85–85. 8 indexed citations
7.
Shi, Qian, et al.. (2022). LCS: A Collaborative Optimization Framework of Vector Extraction and Semantic Segmentation for Building Extraction. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 30 indexed citations
8.
Xu, Xiaocong, et al.. (2022). Simulating multiple urban land use changes by integrating transportation accessibility and a vector-based cellular automata: a case study on city of Toronto. Geo-spatial Information Science. 25(3). 439–456. 25 indexed citations
9.
Ou, Jinpei, et al.. (2022). Developing a data-fusing method for mapping fine-scale urban three-dimensional building structure. Sustainable Cities and Society. 80. 103716–103716. 23 indexed citations
10.
Zeng, Li, Xiaoping Liu, Wenhao Li, et al.. (2022). Global simulation of fine resolution land use/cover change and estimation of aboveground biomass carbon under the shared socioeconomic pathways. Journal of Environmental Management. 312. 114943–114943. 26 indexed citations
11.
Chen, Guangzhao, et al.. (2022). Simulation of urban land expansion in China at 30 m resolution through 2050 under shared socioeconomic pathways. GIScience & Remote Sensing. 59(1). 1301–1320. 25 indexed citations
12.
Liu, Xiaoping, et al.. (2021). Mapping Multi-Temporal Population Distribution in China from 1985 to 2010 Using Landsat Images via Deep Learning. Remote Sensing. 13(17). 3533–3533. 18 indexed citations
13.
Xu, Xiaocong, Jinpei Ou, Penghua Liu, Xiaoping Liu, & Honghui Zhang. (2020). Investigating the impacts of three-dimensional spatial structures on CO2 emissions at the urban scale. The Science of The Total Environment. 762. 143096–143096. 54 indexed citations
14.
Ou, Jinpei, et al.. (2019). Evaluation of Luojia 1-01 nighttime light imagery for impervious surface detection: A comparison with NPP-VIIRS nighttime light data. International Journal of Applied Earth Observation and Geoinformation. 81. 1–12. 71 indexed citations
15.
Liu, Xiaoping, et al.. (2019). Quantitative analysis of the contributions of climatic and human factors to grassland productivity in northern China. Ecological Indicators. 103. 542–553. 88 indexed citations
16.
Liu, Xiaoping, Ning Niu, Xingjian Liu, et al.. (2017). Characterizing mixed-use buildings based on multi-source big data. 32(4). 738–756. 60 indexed citations
17.
Yan, Yuchao, Xiaoping Liu, Fei‐Yue Wang, et al.. (2017). Assessing the impacts of urban sprawl on net primary productivity using fusion of Landsat and MODIS data. The Science of The Total Environment. 613-614. 1417–1429. 85 indexed citations
18.
Liu, Xiaoping, Xun Liang, Xia Li, et al.. (2017). A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects. Landscape and Urban Planning. 168. 94–116. 1334 indexed citations breakdown →
19.
Wang, Shaojian, et al.. (2016). Examining the impacts of socioeconomic factors, urban form, and transportation networks on CO2 emissions in China’s megacities. Applied Energy. 185. 189–200. 371 indexed citations breakdown →
20.
Ou, Jinpei, Xiaoping Liu, Xia Li, Meifang Li, & Wenkai Li. (2015). Evaluation of NPP-VIIRS Nighttime Light Data for Mapping Global Fossil Fuel Combustion CO2 Emissions: A Comparison with DMSP-OLS Nighttime Light Data. PLoS ONE. 10(9). e0138310–e0138310. 105 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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