J. Ge

1.1k total citations
40 papers, 810 citations indexed

About

J. Ge is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, J. Ge has authored 40 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 13 papers in Environmental Engineering and 11 papers in Global and Planetary Change. Recurrent topics in J. Ge's work include Remote Sensing in Agriculture (15 papers), Remote Sensing and LiDAR Applications (10 papers) and Land Use and Ecosystem Services (8 papers). J. Ge is often cited by papers focused on Remote Sensing in Agriculture (15 papers), Remote Sensing and LiDAR Applications (10 papers) and Land Use and Ecosystem Services (8 papers). J. Ge collaborates with scholars based in China, United States and United Kingdom. J. Ge's co-authors include Tiangang Liang, Qisheng Feng, Baoping Meng, Mengjing Hou, Jinlong Gao, Jianpeng Yin, Hongjie Xie, Xia Cui, Ronnen Levinson and Xiaodong Huang 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

J. Ge

36 papers receiving 796 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Ge China	15	435	339	317	135	117	40	810
Tingxiang Liu China	16	256 0.6×	445 1.3×	210 0.7×	159 1.2×	20 0.2×	41	708
Natalya Panov Israel	10	394 0.9×	620 1.8×	365 1.2×	275 2.0×	27 0.2×	15	969
Nadja Gomes Machado Brazil	15	402 0.9×	449 1.3×	211 0.7×	92 0.7×	17 0.1×	106	849
Shuangxi Miao China	11	237 0.5×	285 0.8×	106 0.3×	93 0.7×	23 0.2×	23	610
Zhouyuan Li China	18	192 0.4×	289 0.9×	112 0.4×	74 0.5×	22 0.2×	46	927
Sushma Panigrahy India	21	567 1.3×	314 0.9×	222 0.7×	222 1.6×	19 0.2×	51	1.0k
Shaoxiu Ma China	15	129 0.3×	238 0.7×	147 0.5×	132 1.0×	53 0.5×	49	684
Martin Karlson Sweden	12	426 1.0×	314 0.9×	303 1.0×	88 0.7×	12 0.1×	24	704
Khaled Abutaleb South Africa	16	210 0.5×	296 0.9×	310 1.0×	126 0.9×	27 0.2×	39	790

Countries citing papers authored by J. Ge

Since Specialization

Citations

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

Fields of papers citing papers by J. Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Ge

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

Yang, Changgang, J. Ge, Yanjun Cao, et al.. (2025). 3D Trajectory Reconstruction of High‐Speed Irregularly Moving Objects via Single‐Photon Spatiotemporal Correlation. Laser & Photonics Review. 19(21). 1 indexed citations

Ge, J., Yi Niu, Caixia Ding, et al.. (2025). A fully annotated pathology slide dataset for early gastric cancer and precancerous lesions. Scientific Data. 12(1). 1326–1326. 1 indexed citations

Ge, J., et al.. (2025). StaDis: Stability distance to detecting out-of-distribution data in computational pathology. Medical Image Analysis. 106. 103774–103774.

Ge, J., Zhexin Li, Kai Song, et al.. (2025). 10-km passive drone detection using broadband quantum compressed sensing imaging. Light Science & Applications. 14(1). 244–244.

Ge, J., Mengjing Hou, Qisheng Feng, et al.. (2023). Model Construction and System Design of Natural Grassland-Type Recognition Based on Deep Learning. Remote Sensing. 15(4). 1045–1045. 1 indexed citations

Hou, Mengjing, J. Ge, Baoping Meng, et al.. (2022). The urgent need to develop a new grassland map in China: based on the consistency and accuracy of ten land cover products. Science China Life Sciences. 66(2). 385–405. 12 indexed citations

Ge, J., Mengjing Hou, Tiangang Liang, et al.. (2022). Spatiotemporal dynamics of grassland aboveground biomass and its driving factors in North China over the past 20 years. The Science of The Total Environment. 826. 154226–154226. 82 indexed citations

Gao, Hongyuan, et al.. (2021). Hyperspectral Estimation of Aboveground Biomass of Alpine Grassland based on Random Forest Algorithm. Acta Agrestia Sinica. 29(8). 1757. 1 indexed citations

Liu, Jie, Qisheng Feng, Tiangang Liang, et al.. (2021). Estimating the Forage Neutral Detergent Fiber Content of Alpine Grassland in the Tibetan Plateau Using Hyperspectral Data and Machine Learning Algorithms. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 18 indexed citations

10.

Hou, Mengjing, Jinlong Gao, J. Ge, et al.. (2020). An analysis of dynamic changes and their driving factors in marsh wetlands in the eastern Qinghai-Tibet Plateau. Acta Pratacultural Science. 29(1). 13. 4 indexed citations

11.

Meng, Baoping, Tiangang Liang, Shuhua Yi, et al.. (2020). Modeling Alpine Grassland Above Ground Biomass Based on Remote Sensing Data and Machine Learning Algorithm: A Case Study in East of the Tibetan Plateau, China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 2986–2995. 47 indexed citations

12.

Gao, Jinlong, Tiangang Liang, Jie Liu, et al.. (2020). Potential of hyperspectral data and machine learning algorithms to estimate the forage carbon-nitrogen ratio in an alpine grassland ecosystem of the Tibetan Plateau. ISPRS Journal of Photogrammetry and Remote Sensing. 163. 362–374. 18 indexed citations

13.

Yin, Jianpeng, Qisheng Feng, Tiangang Liang, et al.. (2019). Estimation of Grassland Height Based on the Random Forest Algorithm and Remote Sensing in the Tibetan Plateau. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 178–186. 26 indexed citations

14.

Ge, J., et al.. (2017). Monitoring of above-ground biomass in alpine grassland based on agricultural digital camera and MODIS remote sensing data: a case study in the Yellow River Headwater Region.. Acta Pratacultural Science. 26(7). 23–34. 2 indexed citations

15.

Ge, J.. (2010). Discussion on management and mode of land use for developing bauxite in Guangxi. China Mining Magazine. 2 indexed citations

16.

Gálvez, M. C. & J. Ge. (2007). HIGH RESOLUTION SPECTROSCOPY OF PLANET BEARING STARS. Redalyc (Universidad Autónoma del Estado de México). 29. 148–152. 1 indexed citations

17.

Ge, J., James P. Lloyd, Donald T. Gavel, et al.. (2000). High spectral and spatial resolution spectroscopy of YSOs with a silicon grism and adaptive optics. AAS. 197. 1 indexed citations

18.

Ge, J., D. Ciarlo, Bruce Macintosh, et al.. (1999). The First Light of the World's First Silicon Grisms. AAS. 195. 2 indexed citations

19.

Ge, J. & Jill Bechtold. (1999). H_2 and C I in Damped LY alpha Quasar Absorbers at Intermediate and High Redshifts. ASPC. 156. 121. 1 indexed citations

20.

Ge, J., et al.. (1996). A Prototype Very High Resolution Spectrograph With Adaptive Optics. 188. 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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