Jun Ge

1.0k total citations
43 papers, 680 citations indexed

About

Jun Ge is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Jun Ge has authored 43 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Global and Planetary Change, 20 papers in Atmospheric Science and 9 papers in Environmental Engineering. Recurrent topics in Jun Ge's work include Climate variability and models (24 papers), Plant Water Relations and Carbon Dynamics (20 papers) and Meteorological Phenomena and Simulations (12 papers). Jun Ge is often cited by papers focused on Climate variability and models (24 papers), Plant Water Relations and Carbon Dynamics (20 papers) and Meteorological Phenomena and Simulations (12 papers). Jun Ge collaborates with scholars based in China, Australia and United States. Jun Ge's co-authors include Weidong Guo, A. J. Pitman, Congbin Fu, Bo Qiu, Martin G. De Kauwe, Mengyuan Mu, Xuelong Chen, Jianglin Li, Wenkai Li and Yu Liu and has published in prestigious journals such as Nature Communications, Remote Sensing of Environment and Journal of Climate.

In The Last Decade

Jun Ge

40 papers receiving 670 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Ge China	16	504	259	169	151	99	43	680
Yinghui Guan China	10	485 1.0×	271 1.0×	132 0.8×	226 1.5×	97 1.0×	14	717
Xinyao Zhou China	15	441 0.9×	130 0.5×	162 1.0×	379 2.5×	81 0.8×	24	713
Xiuliang Yuan China	14	408 0.8×	157 0.6×	174 1.0×	78 0.5×	145 1.5×	31	546
Marcella Cannarozzo Italy	15	602 1.2×	220 0.8×	180 1.1×	319 2.1×	87 0.9×	31	797
P. Ciais France	9	476 0.9×	190 0.7×	95 0.6×	195 1.3×	39 0.4×	10	589
Per Skougaard Kaspersen Denmark	9	451 0.9×	124 0.5×	141 0.8×	127 0.8×	160 1.6×	15	572
Xianglan Li China	13	538 1.1×	137 0.5×	145 0.9×	234 1.5×	193 1.9×	33	751
Rebecca Hiller Switzerland	8	501 1.0×	186 0.7×	146 0.9×	56 0.4×	85 0.9×	9	585
B. Shifteh Some’e Iran	11	811 1.6×	246 0.9×	149 0.9×	282 1.9×	78 0.8×	11	962
Dhyan Singh Arya India	15	731 1.5×	316 1.2×	198 1.2×	314 2.1×	75 0.8×	39	915

Countries citing papers authored by Jun Ge

Since Specialization

Citations

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

Fields of papers citing papers by Jun Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ge

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

Hauser, Mathias, Jonas Schwaab, Fulden Batıbeniz, et al.. (2025). Conversion from coniferous to broadleaved trees can make European forests more climate-effective. Nature Communications. 16(1). 9536–9536. 1 indexed citations

Li, Yitao, Jun Ge, Hua Wu, et al.. (2025). Amplified local cooling effect of forestation in warming Europe. Nature Communications. 16(1). 8412–8412.

Wang, Le, et al.. (2025). Dynamic identification of snow phenology in the Northern Hemisphere. The cryosphere. 19(7). 2733–2750. 1 indexed citations

Luo, Wenting, Qitao Shi, Ruowei Yi, et al.. (2025). SiO_x enhances prelithiation kinetics and homogeneity in graphite-based anodes. Journal of Materials Chemistry A. 13(40). 34640–34647.

Tang, Tao, Jun Ge, Haiyun Shi, & Junji Cao. (2025). Divergent response of aridity index to historical land use and land cover change. npj Climate and Atmospheric Science. 8(1). 3 indexed citations

Spracklen, Dominick V., et al.. (2025). Recent Forest Loss in the Brazilian Amazon Causes Substantial Reductions in Dry Season Precipitation. AGU Advances. 6(2). 2 indexed citations

Yi, Ruowei, Lei Zheng, Yifan Li, et al.. (2024). Roll-to-roll Prelithiation of Li-ion Batteries Anodes Using Ultrathin Lithium Strips. Chemical Engineering Journal. 500. 157201–157201. 10 indexed citations

Huang, Shaojian, Peng Zhang, Zhengcheng Song, et al.. (2024). Potential decoupling of CO2 and Hg uptake process by global vegetation in the 21st century. Nature Communications. 15(1). 4490–4490. 10 indexed citations

Ge, Jun, et al.. (2024). Local and Nonlocal Biophysical Effects of Historical Land Use and Land Cover Changes in CMIP6 Models and the Intermodel Uncertainty. Earth s Future. 12(6). 6 indexed citations

10.

Guo, Weidong, et al.. (2024). Instant Response of Tibetan Plateau Surface Albedo to Snow Coverage and Depth in Snow Season. Geophysical Research Letters. 51(3). 15 indexed citations

11.

Ge, Jun, et al.. (2024). Enhanced Cooling Efficiency of Urban Trees on Hotter Summer Days in 70 Cities of China. Advances in Atmospheric Sciences. 41(11). 2259–2275. 3 indexed citations

12.

Ge, Jun, et al.. (2023). An Evaluation of CMIP6 Models in Representing the Biophysical Effects of Deforestation With Satellite‐Based Observations. Journal of Geophysical Research Atmospheres. 128(12). 10 indexed citations

13.

Guo, Weidong, et al.. (2023). Greening vegetation cools mean and extreme near-surface air temperature in China. Environmental Research Letters. 19(1). 14040–14040. 9 indexed citations

14.

Ge, Jun, et al.. (2023). Revisiting Biophysical Impacts of Greening on Precipitation Over the Loess Plateau of China Using WRF With Water Vapor Tracers. Geophysical Research Letters. 50(8). 40 indexed citations

15.

Shi, Wei, et al.. (2023). Study on the Temporal and Spatial Evolution of China’s Carbon Dioxide Emissions and Its Emission Reduction Path. Energies. 16(2). 829–829. 5 indexed citations

16.

Ge, Jun, et al.. (2023). Local surface cooling from afforestation amplified by lower aerosol pollution. Nature Geoscience. 16(9). 781–788. 24 indexed citations

17.

Ge, Jun, et al.. (2022). Deforestation intensifies daily temperature variability in the northern extratropics. Nature Communications. 13(1). 5955–5955. 30 indexed citations

18.

Huang, Ying, Weidong Guo, Yixin Wang, et al.. (2021). Comprehensive evaluation of satellite-based and reanalysis soil moisture products using in situ observations over China. Hydrology and earth system sciences. 25(7). 4209–4229. 35 indexed citations

19.

Gong, Xuewen, et al.. (2020). Evaluation of the dual source model to simulate transpiration and evaporation of tomato plants cultivated in a solar greenhouse. European Journal of Horticultural Science. 85(5). 362–371. 6 indexed citations

20.

Ge, Jun, et al.. (2020). Impact of revegetation of the Loess Plateau of China on the regional growing season water balance. Hydrology and earth system sciences. 24(2). 515–533. 124 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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