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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends
Nicholas C. Coops, Piotr Tompalski, Tristan R.H. Goodbody, et al.
Remote Sensing of Environment (2021) Vol. 260, pp. 112477-112477
Open Access | Times Cited: 236

Showing 1-25 of 236 citing articles:

Remote sensing in forestry: current challenges, considerations and directions
Fabian Ewald Fassnacht, Joanne C. White, Michael A. Wulder, et al.
Forestry An International Journal of Forest Research (2023) Vol. 97, Iss. 1, pp. 11-37
Open Access | Times Cited: 128
Mapping high-resolution forest aboveground biomass of China using multisource remote sensing data
Qiuli Yang, Chunyue Niu, Xiaoqiang Liu, et al.
GIScience & Remote Sensing (2023) Vol. 60, Iss. 1
Open Access | Times Cited: 45
Aboveground biomass modeling using simulated Global Ecosystem Dynamics Investigation (GEDI) waveform LiDAR and forest inventories in Amazonian rainforests
Nadeem Fareed, Izaya Numata, Mark A. Cochrane, et al.
Forest Ecology and Management (2025) Vol. 578, pp. 122491-122491
Closed Access | Times Cited: 4
Plant height measurement using UAV-based aerial RGB and LiDAR images in soybean
Lalit Pun Magar, Jeremy Sandifer, Deepak Khatri, et al.
Frontiers in Plant Science (2025) Vol. 16
Open Access | Times Cited: 2
Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery
Eduarda Martiniano de Oliveira Silveira, Volker C. Radeloff, Sebastián Martinuzzi, et al.
Remote Sensing of Environment (2022) Vol. 285, pp. 113391-113391
Open Access | Times Cited: 53
Modeling carbon storage in urban vegetation: Progress, challenges, and opportunities
Qingwei Zhuang, Zhenfeng Shao, Jianya Gong, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 114, pp. 103058-103058
Open Access | Times Cited: 46
Evaluating ICESat-2 for monitoring, modeling, and update of large area forest canopy height products
Christopher Mulverhill, Nicholas C. Coops, Txomin Hermosilla, et al.
Remote Sensing of Environment (2022) Vol. 271, pp. 112919-112919
Open Access | Times Cited: 41
Closing the gap between phenotyping and genotyping: review of advanced, image-based phenotyping technologies in forestry
Liming Bian, Huichun Zhang, Yufeng Ge, et al.
Annals of Forest Science (2022) Vol. 79, Iss. 1
Open Access | Times Cited: 39
A LiDAR biomass index-based approach for tree- and plot-level biomass mapping over forest farms using 3D point clouds
Liming Du, Yong Pang, Qiang Wang, et al.
Remote Sensing of Environment (2023) Vol. 290, pp. 113543-113543
Closed Access | Times Cited: 35
Hybrid model for estimating forest canopy heights using fused multimodal spaceborne LiDAR data and optical imagery
Shufan Wang, Chun Liu, Weiyue Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 122, pp. 103431-103431
Open Access | Times Cited: 26
Integrating forest structural diversity measurement into ecological research
Jeff W. Atkins, Parth Bhatt, Luis Carrasco, et al.
Ecosphere (2023) Vol. 14, Iss. 9
Open Access | Times Cited: 26
A brief overview and perspective of using airborne Lidar data for forest biomass estimation
Dengsheng Lu, Xiandie Jiang
International Journal of Image and Data Fusion (2024) Vol. 15, Iss. 1, pp. 1-24
Closed Access | Times Cited: 14
Landsat assessment of variable spectral recovery linked to post-fire forest structure in dry sub-boreal forests
Sarah Smith‐Tripp, Nicholas C. Coops, Christopher Mulverhill, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 208, pp. 121-135
Open Access | Times Cited: 11
Mapping vegetation height and identifying the northern forest limit across Canada using ICESat-2, Landsat time series and topographic data
Hana Travers-Smith, Nicholas C. Coops, Christopher Mulverhill, et al.
Remote Sensing of Environment (2024) Vol. 305, pp. 114097-114097
Open Access | Times Cited: 11
Multispectral Light Detection and Ranging Technology and Applications: A Review
Narges Takhtkeshha, Gottfried Mandlburger, Fabio Remondino, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1669-1669
Open Access | Times Cited: 10
Testing temporal transferability of remote sensing models for large area monitoring
Steven K. Filippelli, Karen Schleeweis, Mark D. Nelson, et al.
Science of Remote Sensing (2024) Vol. 9, pp. 100119-100119
Open Access | Times Cited: 9
A hierarchical, multi‐sensor framework for peatland sub‐class and vegetation mapping throughout the Canadian boreal forest
Nicholas Pontone, Koreen Millard, Dan K. Thompson, et al.
Remote Sensing in Ecology and Conservation (2024) Vol. 10, Iss. 4, pp. 500-516
Open Access | Times Cited: 9
Characterizing the structural complexity of the Earth’s forests with spaceborne lidar
Tiago de Conto, John Armston, R. Dubayah
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9
Improving Forest Canopy Height Mapping in Wuyishan National Park Through Calibration of ZiYuan-3 Stereo Imagery Using Limited Unmanned Aerial Vehicle LiDAR Data
Jian Kai, Dengsheng Lu, Yagang Lu, et al.
Forests (2025) Vol. 16, Iss. 1, pp. 125-125
Open Access | Times Cited: 1
Improving aboveground biomass density mapping of arid and semi-arid vegetation by combining GEDI LiDAR, Sentinel-1/2 imagery and field data
Luis Ángel Hernández-Martínez, Juan Manuel Dupuy, Alfonso Medel‐Narváez, et al.
Science of Remote Sensing (2025) Vol. 11, pp. 100204-100204
Open Access | Times Cited: 1
Mapping Forest Aboveground Biomass Using Multisource Remotely Sensed Data
Dekker Ehlers, Chao Wang, John W. Coulston, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1115-1115
Open Access | Times Cited: 34
Allometry-based estimation of forest aboveground biomass combining LiDAR canopy height attributes and optical spectral indexes
Qiuli Yang, Yanjun Su, Tianyu Hu, et al.
Forest Ecosystems (2022) Vol. 9, pp. 100059-100059
Open Access | Times Cited: 34
Integrating spaceborne LiDAR and Sentinel-2 images to estimate forest aboveground biomass in Northern China
Fugen Jiang, Muli Deng, Jie Tang, et al.
Carbon Balance and Management (2022) Vol. 17, Iss. 1
Open Access | Times Cited: 29
Remotely sensed functional diversity and its association with productivity in a subtropical forest
Zhaoju Zheng, Bernhard Schmid, Yuan Zeng, et al.
Remote Sensing of Environment (2023) Vol. 290, pp. 113530-113530
Open Access | Times Cited: 19
Forest terrain and canopy height estimation using stereo images and spaceborne LiDAR data from GF-7 satellite
Liming Du, Yong Pang, Wenjian Ni, et al.
Geo-spatial Information Science (2023) Vol. 27, Iss. 3, pp. 811-821
Open Access | Times Cited: 18
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