Fanlin Yang

2.7k total citations · 1 hit paper
128 papers, 1.7k citations indexed

About

Fanlin Yang is a scholar working on Oceanography, Environmental Engineering and Ocean Engineering. According to data from OpenAlex, Fanlin Yang has authored 128 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Oceanography, 40 papers in Environmental Engineering and 32 papers in Ocean Engineering. Recurrent topics in Fanlin Yang's work include Underwater Acoustics Research (51 papers), Remote Sensing and LiDAR Applications (35 papers) and 3D Surveying and Cultural Heritage (20 papers). Fanlin Yang is often cited by papers focused on Underwater Acoustics Research (51 papers), Remote Sensing and LiDAR Applications (35 papers) and 3D Surveying and Cultural Heritage (20 papers). Fanlin Yang collaborates with scholars based in China, Australia and United States. Fanlin Yang's co-authors include Yue Ma, Xiao Hua Wang, Dianpeng Su, Nan Xu, Song Li, Zhen Liu, Bisheng Yang, Bo Ai, Ziyin Wu and Eugene Rozanov and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Fanlin Yang

115 papers receiving 1.6k citations

Hit Papers

Satellite-derived bathymetry using the ICESat-2 lidar and... 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. Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets
    2020 278 citations Yue Ma, Fanlin Yang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fanlin Yang China 22 653 634 373 301 297 128 1.7k
Yue Ma China 22 863 1.3× 375 0.6× 482 1.3× 147 0.5× 356 1.2× 115 1.6k
D. W. Hancock United States 17 723 1.1× 691 1.1× 521 1.4× 104 0.3× 316 1.1× 42 2.3k
Michael F. Jasinski United States 22 966 1.5× 389 0.6× 776 2.1× 83 0.3× 551 1.9× 45 1.8k
Yi Ma China 23 306 0.5× 505 0.8× 313 0.8× 106 0.4× 347 1.2× 119 1.6k
Christopher Jackson United Kingdom 27 577 0.9× 1.1k 1.8× 764 2.0× 210 0.7× 93 0.3× 110 2.5k
Manoochehr Shirzaei United States 32 447 0.7× 508 0.8× 454 1.2× 321 1.1× 105 0.4× 99 3.0k
Ziyin Wu China 19 137 0.2× 486 0.8× 90 0.2× 243 0.8× 307 1.0× 81 1.2k
Jinyun Guo China 25 197 0.3× 1.3k 2.1× 297 0.8× 105 0.3× 93 0.3× 222 2.5k
Brian R. Calder United States 16 181 0.3× 511 0.8× 95 0.3× 249 0.8× 237 0.8× 98 1.0k
João Catalão Portugal 25 432 0.7× 643 1.0× 212 0.6× 74 0.2× 158 0.5× 114 1.9k

Countries citing papers authored by Fanlin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Fanlin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanlin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Fanlin Yang. A scholar is included among the top collaborators of Fanlin Yang 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 Fanlin Yang. Fanlin Yang 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
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Wang, Ruifu, et al.. (2024). An improved tidal prediction method using meteorological parameters and historical residual water levels. Applied Ocean Research. 153. 104289–104289. 2 indexed citations
4.
Li, Qianqian, et al.. (2024). An improved positioning model of deep-seafloor datum point at large incidence angle. Journal of Oceanology and Limnology. 42(1). 90–100.
5.
Zhao, Xingwang, et al.. (2024). A satellite-derived bathymetry method combining depth invariant index and adaptive logarithmic ratio: A case study in the Xisha Islands without in-situ measurements. International Journal of Applied Earth Observation and Geoinformation. 134. 104232–104232. 3 indexed citations
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Xin, Rui, et al.. (2024). Graph deep learning recognition of port ship behavior patterns from a network approach. Ocean Engineering. 305. 117921–117921. 12 indexed citations
8.
Wang, Jing, et al.. (2024). The Influence of Optical Imaging Features and Stratification Parameters on the Inversion of ISW Amplitudes. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 1 indexed citations
9.
Yang, Fanlin, et al.. (2024). Application of Sample Enhancement Method Combining Superpixel Segmentation and Active Learning in MBES Seafloor Sediment Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–11. 1 indexed citations
10.
Qi, Chao, et al.. (2022). Analysis and correction in the airborne LiDAR bathymetric error caused by the effect of seafloor topography slope. National Remote Sensing Bulletin. 26(12). 2642–2654. 3 indexed citations
11.
Li, Shaoyu, et al.. (2022). Bathymetric LiDAR and multibeam echo-sounding data registration methodology employing a point cloud model. Applied Ocean Research. 123. 103147–103147. 15 indexed citations
12.
Zhao, Lihong, et al.. (2021). Comparison of Marine Gravity Measurements from Shipborne and Satellite Altimetry in the Arctic Ocean. Remote Sensing. 14(1). 41–41. 6 indexed citations
13.
Yang, Fanlin, et al.. (2021). Deep-Sea Sediment Mixed Pixel Decomposition Based on Multibeam Backscatter Intensity Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 2 indexed citations
14.
Ai, Bo, Zhen Wen, Zhenhua Wang, et al.. (2020). Convolutional Neural Network to Retrieve Water Depth in Marine Shallow Water Area From Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 2888–2898. 59 indexed citations
15.
Zhu, Lin, et al.. (2020). Retrieving Wave Parameters From GNSS Buoy Measurements Using the PPP Mode. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 5 indexed citations
16.
Huang, Jue, et al.. (2019). Quantifying DOC and Its Controlling Factors in Major Arctic Rivers during Ice-Free Conditions using Sentinel-2 Data. Remote Sensing. 11(24). 2904–2904. 14 indexed citations
17.
Su, Dianpeng, Fanlin Yang, Yue Ma, et al.. (2018). Classification of Coral Reefs in the South China Sea by Combining Airborne LiDAR Bathymetry Bottom Waveforms and Bathymetric Features. IEEE Transactions on Geoscience and Remote Sensing. 57(2). 815–828. 58 indexed citations
18.
Yang, Fanlin, et al.. (2017). Refraction Correction of Airborne LiDAR Bathymetry Based on Sea Surface Profile and Ray Tracing. IEEE Transactions on Geoscience and Remote Sensing. 55(11). 6141–6149. 54 indexed citations
19.
Yang, Fanlin, et al.. (2017). Mosaicing of airborne LiDAR bathymetry strips based on Monte Carlo matching. Marine Geophysical Research. 38(3). 303–311. 7 indexed citations
20.
Yang, Fanlin, et al.. (1979). A Preliminary Analysis of the Accuracy of the Satellite Laser Ranging System at Shanghai-Observatory. 1. 88. 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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