Liangke Huang

1.8k total citations
91 papers, 1.2k citations indexed

About

Liangke Huang is a scholar working on Aerospace Engineering, Oceanography and Astronomy and Astrophysics. According to data from OpenAlex, Liangke Huang has authored 91 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Aerospace Engineering, 57 papers in Oceanography and 50 papers in Astronomy and Astrophysics. Recurrent topics in Liangke Huang's work include GNSS positioning and interference (55 papers), Geophysics and Gravity Measurements (55 papers) and Ionosphere and magnetosphere dynamics (49 papers). Liangke Huang is often cited by papers focused on GNSS positioning and interference (55 papers), Geophysics and Gravity Measurements (55 papers) and Ionosphere and magnetosphere dynamics (49 papers). Liangke Huang collaborates with scholars based in China, United Kingdom and United States. Liangke Huang's co-authors include Lilong Liu, Weiping Jiang, Hua Chen, Hongchang He, Ge Zhu, Junyu Li, Bolin Fu, Lv Zhou, Si Xiong and Ertao Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Liangke Huang

85 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liangke Huang China 21 735 651 529 277 223 91 1.2k
Lilong Liu China 20 762 1.0× 706 1.1× 519 1.0× 305 1.1× 281 1.3× 105 1.3k
Wanqiang Yao China 22 848 1.2× 738 1.1× 532 1.0× 305 1.1× 287 1.3× 73 1.4k
Pierre Féménias Italy 16 334 0.5× 691 1.1× 125 0.2× 400 1.4× 197 0.9× 59 1.2k
Şenol Hakan Kutoğlu Türkiye 16 243 0.3× 185 0.3× 103 0.2× 140 0.5× 280 1.3× 68 876
William Straka United States 16 184 0.3× 127 0.2× 422 0.8× 466 1.7× 91 0.4× 44 1.1k
Ying-Hwa Kuo United States 22 432 0.6× 448 0.7× 615 1.2× 1.7k 6.0× 156 0.7× 46 2.2k
Maike Schumacher Germany 18 379 0.5× 1.0k 1.6× 349 0.7× 173 0.6× 231 1.0× 49 1.6k
Mathew M. Gunshor United States 12 277 0.4× 137 0.2× 132 0.2× 1.0k 3.6× 146 0.7× 31 1.4k
Linguo Yuan China 20 567 0.8× 572 0.9× 193 0.4× 52 0.2× 81 0.4× 41 930
Raj Kumar India 23 305 0.4× 866 1.3× 63 0.1× 778 2.8× 326 1.5× 132 1.6k

Countries citing papers authored by Liangke Huang

Since Specialization
Citations

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

Fields of papers citing papers by Liangke Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangke Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Liangke Huang. A scholar is included among the top collaborators of Liangke Huang 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 Liangke Huang. Liangke Huang 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.
Huang, Liangke, et al.. (2025). The Role and Pathogenesis of Tau Protein in Alzheimer’s Disease. Biomolecules. 15(6). 824–824. 6 indexed citations
2.
Liu, Lilong, et al.. (2024). An improved soil moisture retrieval method considering azimuth angle changes for spaceborne GNSS-R. Advances in Space Research. 75(1). 178–189.
3.
Li, Haojun, et al.. (2024). An improved method for developing the precipitable water vapor vertical correction global grid model. Atmospheric Research. 311. 107664–107664. 4 indexed citations
4.
Huang, Liangke, et al.. (2024). A deep learning-based model for tropospheric wet delay prediction based on multi-layer 1D convolution neural network. Advances in Space Research. 73(10). 5031–5042. 11 indexed citations
5.
Chen, Jun, et al.. (2024). Assessment of selected ionospheric mapping functions using SF-PPP on different solar activities. Advances in Space Research. 75(1). 886–894. 2 indexed citations
6.
Huang, Liangke, et al.. (2024). A Deep Learning-Based Approach for Directly Retrieving GNSS Precipitable Water Vapor and Its Application in Typhoon Monitoring. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 9 indexed citations
7.
8.
Liu, Junzhao, et al.. (2024). Improvement of BDS-3 inter-frequency clock bias estimation and its application in multi-frequency precise point positioning. Measurement. 238. 115425–115425. 2 indexed citations
9.
Li, Junyu, et al.. (2024). A grid model for vertical correction of precipitable water vapor over the Chinese mainland and surrounding areas using random forest. Geoscientific model development. 17(7). 2569–2581. 3 indexed citations
10.
Xiong, Si, et al.. (2024). Methods and Evaluation of AI-Based Meteorological Models for Zenith Tropospheric Delay Prediction. Remote Sensing. 16(22). 4231–4231. 1 indexed citations
11.
Zhang, Lulu, et al.. (2024). A GRNN-Based Model for ERA5 PWV Adjustment with GNSS Observations Considering Seasonal and Geographic Variations. Remote Sensing. 16(13). 2424–2424. 3 indexed citations
12.
13.
Huang, Liangke, et al.. (2023). Spatial interpolation of regional PM2.5 concentrations in China during COVID-19 incorporating multivariate data. Atmospheric Pollution Research. 14(3). 101688–101688. 11 indexed citations
14.
Huang, Liangke, Zhedong Liu, Si Xiong, et al.. (2023). A Novel Global Grid Model for Atmospheric Weighted Mean Temperature in Real-Time GNSS Precipitable Water Vapor Sounding. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 3322–3335. 11 indexed citations
15.
Ren, Ding, Yuanjin Pan, Lilong Liu, et al.. (2023). Interannual hydrological variability in the Mississippi River Basin based on contemporary geodetic measurements and land surface models. Journal of Hydrology. 626. 130232–130232. 4 indexed citations
16.
Zhou, Lv, et al.. (2023). Investigating Surface Deformation and Its Intrinsic Mechanism in Shenzhen, China Using Sentinel‐1A SAR Imagery. Earth and Space Science. 10(6). 6 indexed citations
17.
Li, Haojun, Ge Zhu, Qi Kang, Liangke Huang, & Hu Wang. (2023). A global zenith tropospheric delay model with ERA5 and GNSS-based ZTD difference correction. GPS Solutions. 27(3). 34 indexed citations
18.
Chen, Jun, Xiaodong Ren, Pengxin Yang, et al.. (2023). Global Ionosphere Modeling Based on GNSS, Satellite Altimetry, Radio Occultation, and DORIS Data Considering Ionospheric Variation. Journal of Geophysical Research Space Physics. 128(10). 6 indexed citations
19.
Huang, Liangke, et al.. (2023). A global grid model for the estimation of zenith tropospheric delay considering the variations at different altitudes. Geoscientific model development. 16(24). 7223–7235. 14 indexed citations
20.
Huang, Liangke, Junyu Li, Lilong Liu, et al.. (2021). A Comprehensive Evaluation of Key Tropospheric Parameters from ERA5 and MERRA-2 Reanalysis Products Using Radiosonde Data and GNSS Measurements. Remote Sensing. 13(15). 3008–3008. 25 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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