Pengyu Hao

2.4k total citations
55 papers, 1.8k citations indexed

About

Pengyu Hao is a scholar working on Ecology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Pengyu Hao has authored 55 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Ecology, 21 papers in Global and Planetary Change and 14 papers in Atmospheric Science. Recurrent topics in Pengyu Hao's work include Remote Sensing in Agriculture (39 papers), Land Use and Ecosystem Services (19 papers) and Remote Sensing and Land Use (14 papers). Pengyu Hao is often cited by papers focused on Remote Sensing in Agriculture (39 papers), Land Use and Ecosystem Services (19 papers) and Remote Sensing and Land Use (14 papers). Pengyu Hao collaborates with scholars based in China, United States and Italy. Pengyu Hao's co-authors include Zheng Niu, Li Wang, Yulin Zhan, Liping Di, Muhammad Shakir, Chen Zhang, Weilong Shi, Feng Guo, Liying Guo and Le Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Pengyu Hao

53 papers receiving 1.7k citations

Peers

Pengyu Hao

ECOLO

GPC

Stefania Di Tommaso France

Liang Sun China

Adam Oliphant United States

I. Yu. Savin Russia

Baozhong Zhang China

SeungHyun Son South Korea

Yu Ren China

Qingdong Shi China

Stefania Di Tommaso France

Pengyu Hao

510 ×0.5

ECOLO

340 ×0.6

GPC

241 ×0.6

138 ×0.4

256 ×0.7

Citations per year, relative to Pengyu Hao Pengyu Hao (= 1×) peers Stefania Di Tommaso

Countries citing papers authored by Pengyu Hao

Since Specialization

Citations

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

Fields of papers citing papers by Pengyu Hao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengyu Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Pengyu Hao. A scholar is included among the top collaborators of Pengyu Hao 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 Pengyu Hao. Pengyu Hao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hao, Pengyu, Pengnian Shan, Xueying Wang, et al.. (2025). Ni-Co Prussian blue analogues with tunable defects as heat-core materials for achieving ultra-high photothermal-assisted photocatalytic H2 production. Renewable Energy. 256. 124159–124159.

Shan, Pengnian, Pengyu Hao, Kun Geng, et al.. (2025). Hierarchical confinement effect of Co-Co Prussian blue analogues for photothermal-assisted photocatalytic H2 production. Chemical Engineering Journal. 509. 161502–161502. 17 indexed citations

Hao, Pengyu, Pengnian Shan, Jun Luo, et al.. (2025). Tunable localized surface plasmon resonance in Prussian blue analogues for enhanced photothermal-photocatalytic hydrogen evolution. Chemical Engineering Journal. 519. 164899–164899. 6 indexed citations

Shan, Pengnian, Kun Geng, Yu Shen, et al.. (2024). Facile synthesis of hierarchical core-shell carbon@ZnIn2S4 composite for boosted photothermal-assisted photocatalytic H2 production. Journal of Colloid and Interface Science. 677(Pt A). 1098–1107. 28 indexed citations

Sun, Lei, Pengyu Hao, Shunhong Zhang, et al.. (2024). Construction of black g-C3N4/loofah/chitosan hydrogel as an efficient solar evaporator for desalination coupled with antibiotic degradation. Separation and Purification Technology. 355. 129615–129615. 50 indexed citations

Qin, Haoyuan, Kaiqu Sun, Pengyu Hao, et al.. (2024). Efficient photocatalytic H2O2 production by using unstable S-O functional groups as oxygen adsorption and active sites in shuttlecock waste-derived N, S-doped carbon dots. Journal of Catalysis. 435. 115579–115579. 35 indexed citations

Hao, Pengyu, Pengnian Shan, Jialin Lu, et al.. (2024). Magnetic-field-induced activation of S-scheme heterojunction with core–shell structure for boosted photothermal-assisted photocatalytic H2 production. Fuel. 373. 132394–132394. 33 indexed citations

Tubiello, Francesco N., et al.. (2023). A new cropland area database by country circa 2020. Earth system science data. 15(11). 4997–5015. 9 indexed citations

Shi, Yuxing, Zhouze Chen, Pengyu Hao, et al.. (2023). Boosting photothermal-assisted photocatalytic water/seawater splitting into hydrogen based on greenhouse-induced photothermal effect. Journal of Colloid and Interface Science. 653(Pt B). 1339–1347. 72 indexed citations

10.

Zhao, Qiang, Le Yu, Zhenrong Du, et al.. (2022). An Overview of the Applications of Earth Observation Satellite Data: Impacts and Future Trends. Remote Sensing. 14(8). 1863–1863. 106 indexed citations

11.

Yu, Le, et al.. (2021). A 1 km global cropland dataset from 10 000 BCE to 2100 CE. Earth system science data. 13(11). 5403–5421. 39 indexed citations

12.

Hao, Pengyu, Liping Di, Chen Zhang, & Liying Guo. (2020). Transfer Learning for Crop classification with Cropland Data Layer data (CDL) as training samples. The Science of The Total Environment. 733. 138869–138869. 119 indexed citations

13.

Zhang, Chen, Liping Di, Zhengwei Yang, Li Lin, & Pengyu Hao. (2020). AgKit4EE: A toolkit for agricultural land use modeling of the conterminous United States based on Google Earth Engine. Environmental Modelling & Software. 129. 104694–104694. 46 indexed citations

14.

Hao, Pengyu, Fabian Löw, & Çhandrashekhar Biradar. (2018). Annual Cropland Mapping Using Reference Landsat Time Series—A Case Study in Central Asia. Remote Sensing. 10(12). 2057–2057. 28 indexed citations

15.

Hao, Pengyu, Li Wang, Yulin Zhan, et al.. (2016). Crop classification using crop knowledge of the previous-year: Case study in Southwest Kansas, USA. European Journal of Remote Sensing. 49(1). 1061–1077. 37 indexed citations

16.

Shakir, Muhammad, et al.. (2015). Crop Classification Based on Time Series MODIS EVI and Ground Observation for Three Adjoining Years in Xinjiang.. PubMed. 35(5). 1345–50. 5 indexed citations

17.

Hao, Pengyu, Li Wang, & Zheng Niu. (2015). Comparison of Hybrid Classifiers for Crop Classification Using Normalized Difference Vegetation Index Time Series: A Case Study for Major Crops in North Xinjiang, China. PLoS ONE. 10(9). e0137748–e0137748. 28 indexed citations

18.

Hao, Pengyu, et al.. (2015). Spatiotemporal changes of urban impervious surface area and land surface temperature in Beijing from 1990 to 2014. GIScience & Remote Sensing. 53(1). 63–84. 33 indexed citations

19.

Huang, Ni, Li Wang, Yiqiang Guo, Pengyu Hao, & Zheng Niu. (2014). Modeling Spatial Patterns of Soil Respiration in Maize Fields from Vegetation and Soil Property Factors with the Use of Remote Sensing and Geographical Information System. PLoS ONE. 9(8). e105150–e105150. 15 indexed citations

20.

Hao, Pengyu, et al.. (2013). Planting Information Extraction of Cotton based on MODIS EVI Time-series Matching:A Case Study of Bole County in Xinjiang. Yaogan jishu yu yingyong. 28(2). 309–314. 1 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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