Ge Liu

5.5k total citations · 2 hit papers
154 papers, 4.3k citations indexed

About

Ge Liu is a scholar working on Oceanography, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Ge Liu has authored 154 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Oceanography, 41 papers in Global and Planetary Change and 38 papers in Water Science and Technology. Recurrent topics in Ge Liu's work include Marine and coastal ecosystems (86 papers), Water Quality Monitoring and Analysis (29 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (26 papers). Ge Liu is often cited by papers focused on Marine and coastal ecosystems (86 papers), Water Quality Monitoring and Analysis (29 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (26 papers). Ge Liu collaborates with scholars based in China, United States and Hong Kong. Ge Liu's co-authors include Kaishan Song, Zhidan Wen, Yingxin Shang, Lili Lyu, Chong Fang, Yunmei Li, Zhubin Zheng, Hui Tao, Sijia Li and Chenggong Du and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Environmental Science & Technology.

In The Last Decade

Ge Liu

142 papers receiving 4.1k citations

Hit Papers

Regional disparities and influencing factors of high qual... 2023 2026 2024 2025 2023 2025 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ge Liu China 39 1.9k 1.4k 944 866 861 154 4.3k
Yibo Zhang China 33 1.0k 0.5× 892 0.6× 428 0.5× 596 0.7× 878 1.0× 135 3.2k
Mark A. Schlautman United States 35 619 0.3× 874 0.6× 498 0.5× 521 0.6× 520 0.6× 141 4.4k
Junjie Wang China 26 509 0.3× 317 0.2× 160 0.2× 376 0.4× 303 0.4× 113 2.4k
Jida Wang China 37 568 0.3× 1.7k 1.2× 87 0.1× 599 0.7× 243 0.3× 108 4.2k
Baoshan Cui China 30 174 0.1× 820 0.6× 419 0.4× 901 1.0× 291 0.3× 176 4.4k
Dianne F. Jolley Australia 36 492 0.3× 463 0.3× 204 0.2× 528 0.6× 1.2k 1.4× 120 4.3k
Steven F. Thornton United Kingdom 29 355 0.2× 454 0.3× 384 0.4× 873 1.0× 500 0.6× 113 3.5k
Seong‐Taek Yun South Korea 41 159 0.1× 2.0k 1.4× 456 0.5× 319 0.4× 1.0k 1.2× 263 6.8k
William P. Ball United States 45 376 0.2× 1.6k 1.1× 449 0.5× 233 0.3× 571 0.7× 90 6.4k
Wang China 28 229 0.1× 817 0.6× 289 0.3× 383 0.4× 536 0.6× 564 3.6k

Countries citing papers authored by Ge Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ge Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ge Liu. A scholar is included among the top collaborators of Ge Liu 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 Liu. Ge Liu 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.
Jian, Li, et al.. (2025). Satellite remote sensing of turbidity in Lake Xingkai using eight years of OLCI observations. Journal of Environmental Management. 377. 124636–124636. 1 indexed citations
2.
Guo, Junjiang, Kai Liu, Jiaming Na, et al.. (2025). A three-decade lake dataset on the Mongolian plateau tracking water area and quality dynamics (1990–2020). Scientific Data. 12(1). 1788–1788.
3.
Zheng, Zhubin, Yunmei Li, Heng Lyu, et al.. (2025). Enhanced Algorithm for Water Transparency Estimation in Turbid Plateau Waters Using Orbita Hyperspectral (OHS) Imagery. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16.
4.
Zhao, Ruixue, Yingxin Shang, Pierre-André Jacinthe, et al.. (2024). Variations in surface area and biogeochemistry of subarctic-arctic lakes established through satellite and in-situ observations: An overview of published research from the past 30 years. The Science of The Total Environment. 931. 172797–172797. 3 indexed citations
5.
Tao, Hui, Shiwei Liu, Ge Liu, et al.. (2024). Using satellite imagery to estimate CO2 partial pressure and exchange with the atmosphere in the Songhua River. Journal of Hydrology. 634. 131074–131074. 39 indexed citations
6.
Hu, Yating, et al.. (2024). The evaluation of Small River water pollution caused by tailing spill in the Northeast of China using high-resolution images. Environmental Impact Assessment Review. 109. 107633–107633. 2 indexed citations
7.
Fan, Fan, et al.. (2024). Cyanobacterial blooms in Lake Taihu: Temporal trends and potential drivers. The Science of The Total Environment. 942. 173684–173684. 16 indexed citations
8.
Li, Jianzhong, Zhubin Zheng, Yunmei Li, et al.. (2024). A hybrid algorithm for estimating total nitrogen from a large eutrophic plateau lake using Orbita hyperspectral (OHS) satellite imagery. International Journal of Applied Earth Observation and Geoinformation. 131. 103971–103971. 3 indexed citations
9.
Hu, Yating, Yu Wang, Ge Liu, et al.. (2023). Extraction of eutrophic and green ponds from segmentation of high-resolution imagery based on the EAF-Unet algorithm. Environmental Pollution. 343. 123207–123207. 4 indexed citations
10.
Li, Sijia, Kaishan Song, Ge Liu, et al.. (2023). Sentinel-3 OLCI observations of Chinese lake turbidity using machine learning algorithms. Journal of Hydrology. 622. 129668–129668. 18 indexed citations
12.
Zhao, Ruixue, Qian Yang, Zhidan Wen, et al.. (2023). Satellite Estimation of pCO2 and Quantification of CO2 Fluxes in China’s Chagan Lake in the Context of Climate Change. Remote Sensing. 15(24). 5680–5680. 2 indexed citations
14.
Wu, Han, Yiming Zhong, Yuxiao Tang, et al.. (2021). Precise regulation of weakly negative permittivity in CaCu3Ti4O12 metacomposites by synergistic effects of carbon nanotubes and grapheme. Advanced Composites and Hybrid Materials. 5(1). 419–430. 172 indexed citations
15.
Bi, Shun, Yunmei Li, Ge Liu, et al.. (2021). Assessment of Algorithms for Estimating Chlorophyll-a Concentration in Inland Waters: A Round-Robin Scoring Method Based on the Optically Fuzzy Clustering. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 22 indexed citations
16.
Lei, Shaohua, Jie Xu, Yunmei Li, et al.. (2019). Temporal and spatial distribution of Kd(490) and its response to precipitation and wind in lake Hongze based on MODIS data. Ecological Indicators. 108. 105684–105684. 33 indexed citations
17.
Lei, Shaohua, Jie Xu, Yunmei Li, et al.. (2019). An approach for retrieval of horizontal and vertical distribution of total suspended matter concentration from GOCI data over Lake Hongze. The Science of The Total Environment. 700. 134524–134524. 50 indexed citations
18.
Zhang, Bo, et al.. (2017). Hybrid and integrated schottky diode based 330GHz and 420GHz subharmonic mixers. 1 indexed citations
19.
Liu, Ge, Stefan Simis, Lin Li, et al.. (2017). A Four-Band Semi-Analytical Model for Estimating Phycocyanin in Inland Waters From Simulated MERIS and OLCI Data. IEEE Transactions on Geoscience and Remote Sensing. 56(3). 1374–1385. 52 indexed citations
20.
Guo, Yulong, et al.. (2015). [A Three Band Chlorophyll-a Concentration Estimation Model Based on GOCI Imagery].. PubMed. 36(9). 3175–85. 2 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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