Le Gao

2.0k total citations · 1 hit paper
68 papers, 1.5k citations indexed

About

Le Gao is a scholar working on Ceramics and Composites, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Le Gao has authored 68 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Ceramics and Composites, 25 papers in Mechanical Engineering and 18 papers in Materials Chemistry. Recurrent topics in Le Gao's work include Advanced ceramic materials synthesis (25 papers), Advanced materials and composites (19 papers) and Oceanographic and Atmospheric Processes (10 papers). Le Gao is often cited by papers focused on Advanced ceramic materials synthesis (25 papers), Advanced materials and composites (19 papers) and Oceanographic and Atmospheric Processes (10 papers). Le Gao collaborates with scholars based in China, United Kingdom and Sweden. Le Gao's co-authors include Shaoming Dong, Haijun Zhou, Xiaofeng Li, Dewei Ni, Yibin Ren, Xiangyu Zhang, Fan Wang, Bin Liu, Yuhai Liu and Bin Zhang and has published in prestigious journals such as Advanced Materials, Carbon and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Le Gao

63 papers receiving 1.5k citations

Hit Papers

Deep-learning-based information mining from ocean remote-... 2020 2026 2022 2024 2020 50 100 150 200 250
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.

  1. Deep-learning-based information mining from ocean remote-sensing imagery
    2020 275 citations Xiaofeng Li, Yingjie Liu et al. profile →

Peers

Le Gao
Qianjie Chen China
Hongliang Li China
N. Daghbouj Czechia
Hu Wang China
Claudia Voigt Germany
William Bell United States
Xinfu Wang China
Yuanqiang Cai China
Atíye Tuğrul Türkiye
N. Christiansen Denmark
Qianjie Chen China
Le Gao
Citations per year, relative to Le Gao Le Gao (= 1×) peers Qianjie Chen

Countries citing papers authored by Le Gao

Since Specialization
Citations

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

Fields of papers citing papers by Le Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Le Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Le Gao. A scholar is included among the top collaborators of Le Gao 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 Le Gao. Le Gao 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.
Ren, Lei, Le Gao, Cong Liu, et al.. (2025). A QCM gas sensor based on Ce-MOF-808 and graphene oxide nanocomposite for rapid and sensitive detection of trimethylamine. Journal of Food Composition and Analysis. 148. 108604–108604.
2.
Liu, Cong, Shihao Chen, Le Gao, et al.. (2025). A QCM gas sensor based on 0.5Co-Mn-BTC MOF nanocomposites for salmon meat freshness detection. Microchemical Journal. 217. 114992–114992. 1 indexed citations
3.
Hu, Jianbao, Yunhui Zhang, Le Gao, et al.. (2024). Water vapor corrosion behaviors of Yb2SiO5-Yb2O3-Si-SiC ceramic fabricated by tape casting and reactive melt infiltration. Journal of the European Ceramic Society. 44(10). 5917–5924. 2 indexed citations
4.
Liu, Bingyang, et al.. (2024). Efficient activation of peroxymonosulfate for trichloroethylene degradation by cobalt ferrites anchored on CeO2 surfaces: Radical to non-radical pathway shift. Journal of environmental chemical engineering. 12(2). 112280–112280. 4 indexed citations
5.
Gao, Le, et al.. (2024). Contrasting physical mechanisms of yellowfin tuna fluctuations between the western and eastern Indian Ocean. Journal of Oceanology and Limnology. 42(3). 960–971.
6.
Zhao, Ziwei, Weiyi Zhang, Yue Wu, et al.. (2024). EyeGPT for Patient Inquiries and Medical Education: Development and Validation of an Ophthalmology Large Language Model. Journal of Medical Internet Research. 26. e60063–e60063. 17 indexed citations
7.
Zhou, Yuan, et al.. (2024). Graph-Based Memory Recall Recurrent Neural Network for Mid-Term Sea-Surface Height Anomaly Forecasting. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 6642–6657. 2 indexed citations
8.
9.
Cai, Feiyan, Dewei Ni, Bowen Chen, et al.. (2023). Efficient fabrication and properties of 2D Cf/(Ti0.2Zr0.2Hf0.2Nb0.2Ta0.2)C-SiC high-entropy ceramic matrix composites via slurry infiltration lamination combined with precursor infiltration and pyrolysis. Journal of the European Ceramic Society. 43(16). 7403–7410. 13 indexed citations
10.
Lu, Huibin, et al.. (2023). Remote Parkinson's disease severity prediction based on causal game feature selection. Expert Systems with Applications. 241. 122690–122690. 3 indexed citations
11.
Lu, Huibin, et al.. (2023). Remote assessment of Parkinson’s disease symptom severity based on group interaction feature assistance. International Journal of Machine Learning and Cybernetics. 15(7). 2595–2618.
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14.
Qi, Jifeng, et al.. (2022). An Ensemble-Based Machine Learning Model for Estimation of Subsurface Thermal Structure in the South China Sea. Remote Sensing. 14(13). 3207–3207. 20 indexed citations
15.
Song, Dongmei, Bin Wang, Xiaofeng Li, et al.. (2020). A Novel Marine Oil Spillage Identification Scheme Based on Convolution Neural Network Feature Extraction From Fully Polarimetric SAR Imagery. IEEE Access. 8. 59801–59820. 44 indexed citations
16.
Zhou, Haijun, et al.. (2019). Effect of ZrC amount and distribution on the thermomechanical properties of C f /SiC‐ZrC composites. International Journal of Applied Ceramic Technology. 16(4). 1321–1328. 25 indexed citations
17.
Cheng, Yongcun, Qing Xu, Le Gao, et al.. (2019). Sea State Bias Variability in Satellite Altimetry Data. Remote Sensing. 11(10). 1176–1176. 7 indexed citations
18.
Wang, Zeyu, Pin Gong, Xiaobin Tang, et al.. (2019). Spectrometry analysis algorithm based on R-L deconvolution and fuzzy inference. Applied Radiation and Isotopes. 153. 108817–108817. 1 indexed citations
19.
Xue, Yudong, Jianbao Hu, Jinshan Yang, et al.. (2018). Influence of boron nitride nanotubes on the damage evolution of SiCf/SiC composites. Journal of the European Ceramic Society. 38(14). 4614–4622. 16 indexed citations
20.
Gao, Le, et al.. (2017). Boron Content on Microstructure and Mechanical Properties of Amorphous Boron Carbide by Chemical Vapor Deposition. Journal of Inorganic Materials. 32(11). 1228–1228. 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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