Yong Ge

7.4k total citations · 4 hit papers
199 papers, 5.5k citations indexed

About

Yong Ge is a scholar working on Global and Planetary Change, Environmental Engineering and Media Technology. According to data from OpenAlex, Yong Ge has authored 199 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Global and Planetary Change, 52 papers in Environmental Engineering and 50 papers in Media Technology. Recurrent topics in Yong Ge's work include Remote Sensing in Agriculture (46 papers), Remote-Sensing Image Classification (39 papers) and Land Use and Ecosystem Services (30 papers). Yong Ge is often cited by papers focused on Remote Sensing in Agriculture (46 papers), Remote-Sensing Image Classification (39 papers) and Land Use and Ecosystem Services (30 papers). Yong Ge collaborates with scholars based in China, United Kingdom and Netherlands. Yong Ge's co-authors include Jinfeng Wang, Yongze Song, Chengdong Xu, Yuehong Chen, Jianghao Wang, Feng Cao, Alfred Stein, Feng Ling, Xiaodong Li and G.B.M. Heuvelink and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yong Ge

198 papers receiving 5.3k citations

Hit Papers

align trajectories sort by overperformance

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.

An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data

2020 795 citations Yongze Song, Jinfeng Wang et al. profile →
Enhanced mangrove vegetation index based on hyperspectral images for mapping mangrove

2022 123 citations Yong Ge et al. profile →
A 100 m gridded population dataset of China's seventh census using ensemble learning and big geospatial data

2024 56 citations Yuehong Chen, Yong Ge et al. profile →
Revolutionizing ecological security pattern with multi-source data and deep learning: An adaptive generation approach

2025 18 citations Min Huang, Yong Ge et al. Ecological Indicators profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yong Ge	2.3k	1.5k	1.5k	1.1k	981	199	5.5k
Changshan Wu	2.9k 1.3×	1.2k 0.8×	2.1k 1.4×	1.1k 1.0×	1.0k 1.0×	89	4.9k
Li Wang	2.5k 1.1×	2.6k 1.7×	1.7k 1.1×	1.2k 1.1×	539 0.5×	420	6.6k
Alexis Comber	2.3k 1.0×	1.4k 0.9×	783 0.5×	603 0.6×	666 0.7×	148	5.4k
Qingfeng Guan	2.6k 1.1×	859 0.6×	864 0.6×	721 0.7×	862 0.9×	185	5.3k
Xiaohua Tong	3.5k 1.5×	2.1k 1.4×	2.4k 1.6×	1.9k 1.8×	2.0k 2.0×	435	9.3k
Daniel L. Civco	2.3k 1.0×	1.3k 0.8×	1.2k 0.8×	776 0.7×	1.4k 1.5×	80	4.8k
Zhenfeng Shao	2.3k 1.0×	1.4k 0.9×	1.9k 1.3×	1.1k 1.1×	3.4k 3.5×	287	9.1k
Dafang Zhuang	3.6k 1.6×	2.5k 1.6×	1.4k 0.9×	1.5k 1.4×	539 0.5×	151	7.1k
Gilberto Câmara	2.0k 0.9×	1.2k 0.8×	645 0.4×	428 0.4×	560 0.6×	146	4.9k
Desheng Liu	1.8k 0.8×	2.1k 1.4×	1.9k 1.3×	1.0k 1.0×	1.1k 1.1×	120	5.1k

Countries citing papers authored by Yong Ge

Since Specialization

Citations

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

Fields of papers citing papers by Yong Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Ge

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Huang, Min, et al.. (2025). Revolutionizing ecological security pattern with multi-source data and deep learning: An adaptive generation approach. Ecological Indicators. 173. 113315–113315. 18 indexed citations breakdown →

Chen, Yuehong, et al.. (2025). Structure-aware deep learning network for building height estimation. International Journal of Applied Earth Observation and Geoinformation. 137. 104443–104443. 2 indexed citations

Foody, Giles M., et al.. (2024). DeepWaterFraction: A globally applicable, self-training deep learning approach for percent surface water area estimation from Landsat mission imagery. Journal of Hydrology. 638. 131512–131512. 5 indexed citations

Ge, Yong, et al.. (2024). Resolving data gaps in global surface water monthly records through a self-supervised deep learning strategy. Journal of Hydrology. 640. 131673–131673. 1 indexed citations

Chen, Yuehong, et al.. (2024). Uncovering the rapid expansion of photovoltaic power plants in China from 2010 to 2022 using satellite data and deep learning. Remote Sensing of Environment. 305. 114100–114100. 47 indexed citations

Zhang, Mo, Yong Ge, & Jianghao Wang. (2024). Integrating infiltration processes in hybrid downscaling methods to estimate sub-surface soil moisture. Ecological Informatics. 84. 102875–102875. 2 indexed citations

Wang, Qunming, Yijie Tang, Yong Ge, et al.. (2023). A comprehensive review of spatial-temporal-spectral information reconstruction techniques. SHILAP Revista de lepidopterología. 8. 100102–100102. 25 indexed citations

Ge, Yong, et al.. (2023). High-quality super-resolution mapping using spatial deep learning. iScience. 26(6). 106875–106875. 8 indexed citations

Chen, Wei, Yong Ge, Daoping Wang, et al.. (2023). After the pandemic: the global seafood trade market forecasts in 2030. Humanities and Social Sciences Communications. 10(1). 11 indexed citations

10.

Jin, Yan, et al.. (2023). Mapping Gross Domestic Product Distribution at 1 km Resolution across Thailand Using the Random Forest Area-to-Area Regression Kriging Model. ISPRS International Journal of Geo-Information. 12(12). 481–481. 3 indexed citations

11.

Liu, Mengxiao, Yong Ge, Shan Hu, & Haiguang Hao. (2023). The Spatial Effects of Regional Poverty: Spatial Dependence, Spatial Heterogeneity and Scale Effects. ISPRS International Journal of Geo-Information. 12(12). 501–501. 3 indexed citations

12.

Liu, Mengxiao, Yong Ge, Shan Hu, Alfred Stein, & Zhoupeng Ren. (2022). The spatial–temporal variation of poverty determinants. Spatial Statistics. 50. 100631–100631. 9 indexed citations

13.

Ge, Yong, Wenbin Zhang, Corrine W. Ruktanonchai, et al.. (2022). Untangling the changing impact of non-pharmaceutical interventions and vaccination on European COVID-19 trajectories. Nature Communications. 13(1). 3106–3106. 67 indexed citations

14.

Ge, Yong, Mengxiao Liu, Hu Shan, et al.. (2022). Who and which regions are at high risk of returning to poverty during the COVID-19 pandemic?. Humanities and Social Sciences Communications. 9(1). 10 indexed citations

15.

Jin, Yan, Xudong Guan, Yong Ge, Yan Jia, & Wenmei Li. (2022). Improved Spatiotemporal Information Fusion Approach Based on Bayesian Decision Theory for Land Cover Classification. Remote Sensing. 14(23). 6003–6003. 5 indexed citations

16.

Liu, Mengxiao, Shan Hu, Yong Ge, et al.. (2020). Using multiple linear regression and random forests to identify spatial poverty determinants in rural China. Spatial Statistics. 42. 100461–100461. 61 indexed citations

17.

Jin, Yan, et al.. (2020). A Machine Learning-Based Geostatistical Downscaling Method for Coarse-Resolution Soil Moisture Products. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 1025–1037. 21 indexed citations

18.

Ling, Feng, Doreen S. Boyd, Yong Ge, et al.. (2019). Measuring River Wetted Width From Remotely Sensed Imagery at the Subpixel Scale With a Deep Convolutional Neural Network. Water Resources Research. 55(7). 5631–5649. 63 indexed citations

19.

Li, Chang, et al.. (2017). A likelihood-based spatial statistical transformation model (LBSSTM) of regional economic development using DMSP/OLS time-series nighttime light imagery. Spatial Statistics. 21. 421–439. 23 indexed citations

20.

Mu, Xihan, et al.. (2015). Evaluation of Sampling Methods for Validation of Remotely Sensed Fractional Vegetation Cover. Remote Sensing. 7(12). 16164–16182. 51 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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