Ge Han

2.0k total citations
88 papers, 1.4k citations indexed

About

Ge Han is a scholar working on Global and Planetary Change, Atmospheric Science and Spectroscopy. According to data from OpenAlex, Ge Han has authored 88 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Global and Planetary Change, 52 papers in Atmospheric Science and 26 papers in Spectroscopy. Recurrent topics in Ge Han's work include Atmospheric and Environmental Gas Dynamics (53 papers), Atmospheric chemistry and aerosols (41 papers) and Spectroscopy and Laser Applications (26 papers). Ge Han is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (53 papers), Atmospheric chemistry and aerosols (41 papers) and Spectroscopy and Laser Applications (26 papers). Ge Han collaborates with scholars based in China, United States and France. Ge Han's co-authors include Xin Ma, Wei Gong, Wei Gong, Zhipeng Pei, Tianqi Shi, Ailin Liang, Ruonan Qiu, Miao Zhang, Hang Su and Jiqiao Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Ge Han

78 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ge Han China 22 1.1k 682 260 256 223 88 1.4k
Lesley Ott United States 24 1.7k 1.5× 1.5k 2.2× 200 0.8× 205 0.8× 121 0.5× 85 2.2k
Tobias Borsdorff Netherlands 26 1.8k 1.6× 1.4k 2.1× 210 0.8× 242 0.9× 192 0.9× 75 2.0k
Maximilian Reuter Germany 29 2.3k 2.0× 1.9k 2.8× 261 1.0× 211 0.8× 217 1.0× 75 2.5k
N. L. Miles United States 25 2.2k 2.0× 1.8k 2.6× 474 1.8× 400 1.6× 170 0.8× 63 2.4k
Oliver Schneising Germany 25 2.2k 2.0× 1.9k 2.8× 214 0.8× 217 0.8× 267 1.2× 60 2.4k
Thomas Nehrkorn United States 22 2.1k 1.8× 1.7k 2.6× 417 1.6× 381 1.5× 77 0.3× 71 2.5k
S. C. Olsen United States 18 1.6k 1.4× 1.5k 2.2× 208 0.8× 299 1.2× 58 0.3× 39 2.1k
Xiaozhen Xiong United States 22 957 0.8× 1.2k 1.8× 194 0.7× 239 0.9× 76 0.3× 61 1.5k
D. F. Baker United States 19 2.1k 1.9× 1.5k 2.3× 128 0.5× 68 0.3× 72 0.3× 60 2.3k
Camille Yver Kwok France 19 877 0.8× 700 1.0× 142 0.5× 91 0.4× 118 0.5× 40 1.1k

Countries citing papers authored by Ge Han

Since Specialization
Citations

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

Fields of papers citing papers by Ge Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Han

This figure shows the co-authorship network connecting the top 25 collaborators of Ge Han. A scholar is included among the top collaborators of Ge Han 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 Ge Han. Ge Han 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.
2.
Han, Ge, Yiyang Huang, Weibiao Chen, et al.. (2025). First global XCO2 observations from spaceborne lidar: methodology and initial result. Remote Sensing of Environment. 330. 114954–114954. 2 indexed citations
3.
4.
Qiu, Ruonan, Ge Han, Xing Li, et al.. (2024). Contrasting responses of relationship between solar-induced fluorescence and gross primary production to drought across aridity gradients. Remote Sensing of Environment. 302. 113984–113984. 21 indexed citations
5.
Li, Sheng, et al.. (2024). Carbon emissions assessment of ultra-high performance concrete in construction industry: Calculation method and case study. Energy and Buildings. 329. 115260–115260. 9 indexed citations
6.
Shi, Tianqi, Xin Ma, Ge Han, et al.. (2024). China's “coal-to-gas” policy had large impact on PM1.0 distribution during 2016–2019. Journal of Environmental Management. 359. 121071–121071. 2 indexed citations
7.
Zhang, Haowei, Wei Gong, Hu He, et al.. (2024). Global Elevation Inversion for Multiband Spaceborne Lidar: Predevelopment of Forest Canopy Height. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 2928–2941. 1 indexed citations
8.
Han, Ge, Weibiao Chen, Zhipeng Pei, et al.. (2024). Validation Method for Spaceborne IPDA LIDAR ${{\mathrm{X}}_{\mathrm{C}{{\mathrm{O}}_2}}}$ Products via TCCON. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 16984–16992. 7 indexed citations
9.
Han, Ge, et al.. (2024). FI-SCAPE: A Divergence Theorem Based Emission Quantification Model for Air/Spaceborne Imaging Spectrometer Derived XCH4 Observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 255–272. 3 indexed citations
10.
Pei, Zhipeng, Ge Han, Tianqi Shi, Xin Ma, & Wei Gong. (2023). A XCO Retrieval Algorithm Coupled Spatial Correlation for the Aerosol and Carbon Detection Lidar. Atmospheric Environment. 309. 119933–119933. 12 indexed citations
11.
Pei, Zhipeng, Ge Han, Huiqin Mao, et al.. (2023). Improving quantification of methane point source emissions from imaging spectroscopy. Remote Sensing of Environment. 295. 113652–113652. 39 indexed citations
12.
Zhang, Haowei, Ge Han, Siwei Li, et al.. (2023). Spectral Energy Model-Driven Inversion of XCO2 in IPDA Lidar Remote Sensing. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–9. 9 indexed citations
13.
Han, Ge, et al.. (2023). EFFC-Net: lightweight fully convolutional neural networks in remote sensing disaster images. Geo-spatial Information Science. 28(1). 212–223. 12 indexed citations
14.
Liu, Yilin, et al.. (2023). Analysis of the Income Enhancement Potential of the Terrestrial Carbon Sink in China Based on Remotely Sensed Data. Remote Sensing. 15(15). 3849–3849. 4 indexed citations
15.
Shi, Tianqi, Ge Han, Xin Ma, et al.. (2023). Quantifying strong point sources emissions of CO2 using spaceborne LiDAR: Method development and potential analysis. Energy Conversion and Management. 292. 117346–117346. 26 indexed citations
16.
Sun, Wanqi, et al.. (2023). Background Characteristics and Influence Analysis of Greenhouse Gases at Jinsha Atmospheric Background Station in China. Atmosphere. 14(10). 1541–1541. 4 indexed citations
17.
Qiu, Ruonan, Ge Han, Siwei Li, et al.. (2023). Soil moisture dominates the variation of gross primary productivity during hot drought in drylands. The Science of The Total Environment. 899. 165686–165686. 33 indexed citations
18.
Zhang, Miao, Bo Su, Muhammad Bilal, et al.. (2020). An Investigation of Vertically Distributed Aerosol Optical Properties over Pakistan Using CALIPSO Satellite Data. Remote Sensing. 12(14). 2183–2183. 23 indexed citations
19.
Pei, Zhipeng, Ge Han, Xin Ma, Hang Su, & Wei Gong. (2020). Response of major air pollutants to COVID-19 lockdowns in China. The Science of The Total Environment. 743. 140879–140879. 167 indexed citations
20.
Han, Ge, et al.. (2014). Spatial and temporal distributions of contaminants emitted because of Chinese New Year's Eve celebrations in Wuhan. Environmental Science Processes & Impacts. 16(4). 916–916. 23 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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