Lin Cao

3.1k total citations · 1 hit paper
75 papers, 2.4k citations indexed

About

Lin Cao is a scholar working on Environmental Engineering, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Lin Cao has authored 75 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Environmental Engineering, 32 papers in Ecology and 30 papers in Nature and Landscape Conservation. Recurrent topics in Lin Cao's work include Remote Sensing and LiDAR Applications (52 papers), Remote Sensing in Agriculture (30 papers) and Forest ecology and management (30 papers). Lin Cao is often cited by papers focused on Remote Sensing and LiDAR Applications (52 papers), Remote Sensing in Agriculture (30 papers) and Forest ecology and management (30 papers). Lin Cao collaborates with scholars based in China, Canada and United States. Lin Cao's co-authors include Xin Shen, Guibin Wang, Zhengnan Zhang, Renjie Xu, Yunfei Liu, Haifeng Lin, She Guang-hui, Fuliang Cao, Nicholas C. Coops and Ting Yun and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

Lin Cao

70 papers receiving 2.4k citations

Hit Papers

align trajectories

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.

A Forest Fire Detection System Based on Ensemble Learning

2021 378 citations Lin Cao et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lin Cao China	26	1.6k	964	716	406	405	75	2.4k
Michele Dalponte Italy	33	2.8k 1.8×	2.6k 2.7×	1.5k 2.1×	924 2.3×	770 1.9×	95	4.3k
Stefano Puliti Norway	22	1.6k 1.0×	873 0.9×	567 0.8×	362 0.9×	479 1.2×	46	1.9k
Peter Surový Czechia	22	1.4k 0.9×	902 0.9×	614 0.9×	464 1.1×	478 1.2×	105	2.1k
Shichao Jin China	27	1.0k 0.7×	915 0.9×	284 0.4×	311 0.8×	95 0.2×	69	2.0k
Midhun Mohan United States	21	1.1k 0.7×	616 0.6×	524 0.7×	441 1.1×	351 0.9×	68	1.6k
Yunsheng Wang Finland	30	3.1k 2.0×	997 1.0×	1.8k 2.5×	447 1.1×	1.2k 3.0×	74	3.6k
Matti Lehtomäki Finland	20	1.6k 1.1×	417 0.4×	534 0.7×	188 0.5×	401 1.0×	38	2.1k
Ting Yun China	18	729 0.5×	389 0.4×	328 0.5×	150 0.4×	131 0.3×	62	1.0k
Paula Litkey Finland	26	2.1k 1.3×	1.2k 1.3×	662 0.9×	322 0.8×	457 1.1×	48	2.7k

Countries citing papers authored by Lin Cao

Since Specialization

Citations

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

Fields of papers citing papers by Lin Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Cao

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

Deng, Xuliang, Liying Ma, Chao Wang, et al.. (2025). Recent Progress in Materials Design and Fabrication Techniques for Membrane Electrode Assembly in Proton Exchange Membrane Fuel Cells. Catalysts. 15(1). 74–74. 7 indexed citations

Tong, Xin, Kai Sun, Hao Ye, et al.. (2025). Recent advances in the high entropy materials for advanced energy storage with machine learning. SHILAP Revista de lepidopterología. 5(4). 100379–100379.

Shen, Xin, et al.. (2025). Terrain and individual tree vertical structure-based approach for point clouds co-registration by UAV and Backpack LiDAR. International Journal of Applied Earth Observation and Geoinformation. 139. 104544–104544. 1 indexed citations

Hou, Guoqiang, et al.. (2025). A novel adaptive similarity-based ecological niche model for the endangered Yunnan snub-nosed monkey (Rhinopithecus bieti) using UAV LiDAR data. Remote Sensing of Environment. 326. 114804–114804.

Shen, Xin, Aolei Yang, Kai Zhou, et al.. (2025). An advanced approach for multiscale aboveground biomass estimation by integrating UAV, backpack LiDAR and high-resolution imageries: A case study in Liriodendron sino-americanum mixed forests. Computers and Electronics in Agriculture. 239. 110898–110898.

Cao, Lin, et al.. (2025). Design of gradient polyamide membrane for anti-fouling high-performance reverse osmosis desalination. Journal of Membrane Science. 722. 123881–123881. 7 indexed citations

Shen, Xin, et al.. (2024). Estimating structure of understory bamboo for giant panda habitat by developing an advanced vertical vegetation classification approach using UAS-LiDAR data. International Journal of Applied Earth Observation and Geoinformation. 136. 104304–104304. 2 indexed citations

Shen, Xin, et al.. (2024). FO-Net: An advanced deep learning network for individual tree identification using UAV high-resolution images. ISPRS Journal of Photogrammetry and Remote Sensing. 220. 323–338. 2 indexed citations

Cao, Lin. (2024). Comparison of Machine Learning Methods in Customer Segment. Highlights in Science Engineering and Technology. 92. 133–137.

10.

Zhou, Kai, et al.. (2024). Coupling PROSPECT with Prior Estimation of Leaf Structure to Improve the Retrieval of Leaf Nitrogen Content in Ginkgo from Bidirectional Reflectance Factor Spectra. Plant Phenomics. 6. 282–282. 3 indexed citations

11.

Cao, Lin, et al.. (2024). An advanced three-dimensional phenotypic measurement approach for extracting Ginkgo root structural parameters based on terrestrial laser scanning. Frontiers in Plant Science. 15. 1356078–1356078. 2 indexed citations

12.

Zhou, Kai, Lin Cao, Xin Shen, & Guibin Wang. (2023). Novel spectral indices for enhanced estimations of 3-dimentional flavonoid contents for Ginkgo plantations using UAV-borne LiDAR and hyperspectral data. Remote Sensing of Environment. 299. 113882–113882. 8 indexed citations

13.

Shen, Xin, et al.. (2023). Extraction of Forest Structural Parameters by the Comparison of Structure from Motion (SfM) and Backpack Laser Scanning (BLS) Point Clouds. Remote Sensing. 15(8). 2144–2144. 6 indexed citations

14.

Shen, Xin, et al.. (2023). Tree Species Classification in Subtropical Natural Forests Using High-Resolution UAV RGB and SuperView-1 Multispectral Imageries Based on Deep Learning Network Approaches: A Case Study within the Baima Snow Mountain National Nature Reserve, China. Remote Sensing. 15(10). 2697–2697. 14 indexed citations

15.

Cao, Lin, et al.. (2022). Phenotypic Traits Extraction and Genetic Characteristics Assessment of Eucalyptus Trials Based on UAV-Borne LiDAR and RGB Images. Remote Sensing. 14(3). 765–765. 18 indexed citations

16.

Shen, Xin, et al.. (2022). An Advanced Framework for Multi-Scale Forest Structural Parameter Estimations Based on UAS-LiDAR and Sentinel-2 Satellite Imagery in Forest Plantations of Northern China. Remote Sensing. 14(13). 3023–3023. 8 indexed citations

17.

Shen, Xin, et al.. (2019). Estimation of Forest Structural Attributes Using Spectral Indices and Point Clouds from UAS-Based Multispectral and RGB Imageries. Remote Sensing. 11(7). 800–800. 36 indexed citations

18.

Shen, Xin, et al.. (2019). Assessment of Individual Tree Detection and Canopy Cover Estimation using Unmanned Aerial Vehicle based Light Detection and Ranging (UAV-LiDAR) Data in Planted Forests. Remote Sensing. 11(8). 908–908. 93 indexed citations

19.

Cao, Lin, et al.. (2018). Extraction of Leaf Biophysical Attributes Based on a Computer Graphic-based Algorithm Using Terrestrial Laser Scanning Data. Remote Sensing. 11(1). 15–15. 30 indexed citations

20.

Ye, Ning, et al.. (2006). Support vector machine with orthogonal Chebyshev kernel. 752–755. 20 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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