Gaoxiang Zhou

416 total citations
22 papers, 303 citations indexed

About

Gaoxiang Zhou is a scholar working on Ecology, Health, Toxicology and Mutagenesis and Global and Planetary Change. According to data from OpenAlex, Gaoxiang Zhou has authored 22 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 6 papers in Health, Toxicology and Mutagenesis and 6 papers in Global and Planetary Change. Recurrent topics in Gaoxiang Zhou's work include Remote Sensing in Agriculture (7 papers), Air Quality and Health Impacts (6 papers) and Air Quality Monitoring and Forecasting (4 papers). Gaoxiang Zhou is often cited by papers focused on Remote Sensing in Agriculture (7 papers), Air Quality and Health Impacts (6 papers) and Air Quality Monitoring and Forecasting (4 papers). Gaoxiang Zhou collaborates with scholars based in China, Canada and United States. Gaoxiang Zhou's co-authors include Ming Liu, Xiangnan Liu, Ling Han, Jonathan Li, Meiling Liu, Rebecca K. Saari, Xiangnan Liu, Chao Ding, Shuang Zhao and Chao Ding and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Environmental Pollution.

In The Last Decade

Gaoxiang Zhou

18 papers receiving 299 citations

Peers

Gaoxiang Zhou

ECOLO

GPC

HTM

Xingyu Xue China

Leonid Shumilo Ukraine

Phan Kieu Diem Vietnam

Cheng Feng China

Yusuf Kurucu Türkiye

Danni Xie China

Avinash Kumar Ranjan India

Vahagn Muradyan Armenia

Saumya Singh India

Xingyu Xue China

Gaoxiang Zhou

88 ×0.8

ECOLO

195 ×2.1

GPC

72 ×0.9

HTM

135 ×1.8

36 ×0.8

Citations per year, relative to Gaoxiang Zhou Gaoxiang Zhou (= 1×) peers Xingyu Xue

Countries citing papers authored by Gaoxiang Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Gaoxiang Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaoxiang Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Gaoxiang Zhou. A scholar is included among the top collaborators of Gaoxiang Zhou 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 Gaoxiang Zhou. Gaoxiang Zhou 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

Zhang, Jianpeng, Jingwei Lin, Yangzhou Liu, et al.. (2025). Prognostic and Predictive Value of Machine Learning‐Based Biomarker and Pathomics Signatures in Patients With Prostate Cancer. Cancer Science. 116(10). 2893–2906.

Zhou, Gaoxiang, Ming Liu, & Liangzhi Li. (2024). A Spatiotemporal Fusion Transformer Model for Chlorophyll-a Concentrations Prediction Over Large Areas With Satellite Time Series Data. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–11.

Ahmed, Yasmine, Cheryl A. Telmer, Gaoxiang Zhou, & Nataša Miškov-Živanov. (2024). Context-aware knowledge selection and reliable model recommendation with ACCORDION. SHILAP Revista de lepidopterología. 4. 1308292–1308292. 3 indexed citations

Zhou, Gaoxiang, Ming Liu, Linlin Xu, & Liangzhi Li. (2024). A gap-filling method for satellite-derived chlorophyll-a time series based on neighborhood spatiotemporal information. International Journal of Applied Earth Observation and Geoinformation. 128. 103724–103724. 3 indexed citations

Liu, Ming, Gaoxiang Zhou, Lingfei Ma, Liangzhi Li, & Qiong Mei. (2023). SIFNet: A self-attention interaction fusion network for multisource satellite imagery template matching. International Journal of Applied Earth Observation and Geoinformation. 118. 103247–103247. 8 indexed citations

Liu, Ming, et al.. (2023). Spatiotemporal Disparity and Environmental Inequality in Fossil Fuel Carbon Emissions in China: 2010-2019. 2099–2102.

Zhang, Jinhu, Gaoxiang Zhou, Min Lei, et al.. (2022). Distinct immune and inflammatory response patterns contribute to the identification of poor prognosis and advanced clinical characters in bladder cancer patients. Frontiers in Immunology. 13. 1008865–1008865. 12 indexed citations

Liu, Ming, Yang Wang, Ruochen Liu, et al.. (2022). How magnitude of PM2.5 exposure disparities have evolved across Chinese urban-rural population during 2010–2019. Journal of Cleaner Production. 382. 135333–135333. 31 indexed citations

Liu, Ming, Rebecca K. Saari, Gaoxiang Zhou, et al.. (2021). Recent trends in premature mortality and health disparities attributable to ambient PM2.5 exposure in China: 2005–2017. Environmental Pollution. 279. 116882–116882. 50 indexed citations

10.

Zhou, Gaoxiang, Ming Liu, & Xiangnan Liu. (2021). An autoencoder-based model for forest disturbance detection using Landsat time series data. International Journal of Digital Earth. 14(9). 1087–1102. 12 indexed citations

11.

Zhou, Gaoxiang, et al.. (2020). Forecast of Urban Rail Transit Passenger Flow in Holidays Based on Support Vector Machine Model. 585–589. 9 indexed citations

12.

Liu, Ming, Rebecca K. Saari, Gaoxiang Zhou, Xiangnan Liu, & Jonathan Li. (2020). Size-differentiated patterns of exposure to submicron particulate matter across regions and seasons in China. Atmospheric Environment. 238. 117745–117745. 2 indexed citations

13.

Meng, Yuanyuan, et al.. (2020). Analysis of ecological resilience to evaluate the inherent maintenance capacity of a forest ecosystem using a dense Landsat time series. Ecological Informatics. 57. 101064–101064. 29 indexed citations

14.

Zhou, Gaoxiang, Xiangnan Liu, & Ming Liu. (2019). Assimilating Remote Sensing Phenological Information into the WOFOST Model for Rice Growth Simulation. Remote Sensing. 11(3). 268–268. 34 indexed citations

15.

Liu, Ming, Gaoxiang Zhou, Rebecca K. Saari, et al.. (2019). Quantifying PM2.5 mass concentration and particle radius using satellite data and an optical-mass conversion algorithm. ISPRS Journal of Photogrammetry and Remote Sensing. 158. 90–98. 14 indexed citations

16.

Liu, Ming, Gaoxiang Zhou, Rebecca K. Saari, & Jonathan Li. (2019). Long-Term Trend of Ground-Level PM2.5 Concentrations Over 2012-2017 in China. 7842–7845. 4 indexed citations

17.

Zhou, Gaoxiang, Kai-Wen Liang, & Nataša Miškov-Živanov. (2018). Sensitivity Analysis of Discrete Models and Application in Biological Networks. 605–606.

18.

Zhou, Gaoxiang, Ming Liu, Xiangnan Liu, & Jonathan Li. (2018). Combination of Crop Growth Model and Radiation Transfer Model with Remote Sensing Data Assimilation for Fapar Estimation. 5. 1882–1885. 2 indexed citations

19.

Liu, Meiling, et al.. (2018). A New Vegetation Index Based on Multitemporal Sentinel-2 Images for Discriminating Heavy Metal Stress Levels in Rice. Sensors. 18(7). 2172–2172. 50 indexed citations

20.

Zhou, Gaoxiang, Xiangnan Liu, Shuang Zhao, Ming Liu, & Ling Wu. (2017). Estimating FAPAR of Rice Growth Period Using Radiation Transfer Model Coupled with the WOFOST Model for Analyzing Heavy Metal Stress. Remote Sensing. 9(5). 424–424. 26 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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