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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:

Estimates of Forest Canopy Height Using a Combination of ICESat-2/ATLAS Data and Stereo-Photogrammetry
Xiaojuan Lin, Min Xu, Chunxiang Cao, et al.
Remote Sensing (2020) Vol. 12, Iss. 21, pp. 3649-3649
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Correcting forest aboveground biomass biases by incorporating independent canopy height retrieval with conventional machine learning models using GEDI and ICESat-2 data
Biao Zhang, Zhichao Wang, Tiantian Ma, et al.
Ecological Informatics (2025), pp. 103045-103045
Open Access | Times Cited: 2
Spatially Continuous Mapping of Forest Canopy Height in Canada by Combining GEDI and ICESat-2 with PALSAR and Sentinel
Camile Sothe, Alemu Gonsamo, Ricardo Barros Lourenço, et al.
Remote Sensing (2022) Vol. 14, Iss. 20, pp. 5158-5158
Open Access | Times Cited: 49
Forest Canopy Height Mapping by Synergizing ICESat-2, Sentinel-1, Sentinel-2 and Topographic Information Based on Machine Learning Methods
Zhilong Xi, Huadong Xu, Yanqiu Xing, et al.
Remote Sensing (2022) Vol. 14, Iss. 2, pp. 364-364
Open Access | Times Cited: 45
A noise removal algorithm based on adaptive elevation difference thresholding for ICESat-2 photon-counting data
Bikang Wang, Yi Ma, Jingyu Zhang, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 117, pp. 103207-103207
Open Access | Times Cited: 36
Vertical Accuracy Assessment of the ASTER, SRTM, GLO-30, and ATLAS in a Forested Environment
Jiapeng Huang, Yang Yu
Forests (2024) Vol. 15, Iss. 3, pp. 426-426
Open Access | Times Cited: 10
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
Mapping the Forest Canopy Height in Northern China by Synergizing ICESat-2 with Sentinel-2 Using a Stacking Algorithm
Fugen Jiang, Feng Zhao, Kaisen Ma, et al.
Remote Sensing (2021) Vol. 13, Iss. 8, pp. 1535-1535
Open Access | Times Cited: 55
Assessing GEDI-NASA system for forest fuels classification using machine learning techniques
Raúl Hoffrén, María Teresa Lamelas Gracia, Juan de la Riva, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 116, pp. 103175-103175
Open Access | Times Cited: 23
Forest Canopy Height Retrieval and Analysis Using Random Forest Model with Multi-Source Remote Sensing Integration
Weidong Zhu, Yaqin Li, Kuifeng Luan, et al.
Sustainability (2024) Vol. 16, Iss. 5, pp. 1735-1735
Open Access | Times Cited: 6
Estimating aboveground biomass of urban trees based on ICESat-2 LiDAR and Zhuhai-1 hyperspectral data
Chao Wei, Haiming Qin, Jinwen Ji, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 135, pp. 103605-103605
Closed Access | Times Cited: 6
Retrieval of forest canopy height in a mountainous region with ICESat-2 ATLAS
Shiyun Pang, Guiying Li, Xiandie Jiang, et al.
Forest Ecosystems (2022) Vol. 9, pp. 100046-100046
Open Access | Times Cited: 22
Assessing the Vertical Structure of Forests Using Airborne and Spaceborne LiDAR Data in the Austrian Alps
Manuela Hirschmugl, Florian Lippl, Carina Sobe
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 664-664
Open Access | Times Cited: 13
Predicting the Forest Canopy Height from LiDAR and Multi-Sensor Data Using Machine Learning over India
Sujit Madhab Ghosh, Mukunda Dev Behera, Shubham Kumar, et al.
Remote Sensing (2022) Vol. 14, Iss. 23, pp. 5968-5968
Open Access | Times Cited: 17
Monitoring Canopy Height in the Hainan Tropical Rainforest Using Machine Learning and Multi-Modal Data Fusion
Qingping Ling, Y. S. Chen, Zhongke Feng, et al.
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 966-966
Open Access
Estimation of mangrove heights and aboveground biomass using UAV-LiDAR, Sentinel-1 and ZY-3 stereo images
Bolin Fu, Yingying Wei, Linhang Jiang, et al.
Ecological Informatics (2025), pp. 103160-103160
Open Access
A Comparison of Machine Learning and Geostatistical Approaches for Mapping Forest Canopy Height over the Southeastern US Using ICESat-2
Kasip Tiwari, Lana L. Narine
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5651-5651
Open Access | Times Cited: 16
Retrieval of Tree Height Percentiles over Rugged Mountain Areas via Target Response Waveform of Satellite Lidar
Hao Song, Hui Zhou, Heng Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 425-425
Open Access | Times Cited: 3
DLCD: Deep learning-based change detection approach to monitor deforestation
Saurabh Srivastava, Tasneem Ahmed
Signal Image and Video Processing (2024) Vol. 18, Iss. S1, pp. 167-181
Closed Access | Times Cited: 3
Forest Canopy Height Retrieval Model Based on a Dual Attention Mechanism Deep Network
Zongze Zhao, Baogui Jiang, Hongtao Wang, et al.
Forests (2024) Vol. 15, Iss. 7, pp. 1132-1132
Open Access | Times Cited: 3
Retrieval of DTM under Complex Forest Stand Based on Spaceborne LiDAR Fusion Photon Correction
Bin Li, Guangpeng Fan, Tianzhong Zhao, et al.
Remote Sensing (2022) Vol. 14, Iss. 1, pp. 218-218
Open Access | Times Cited: 14
Evaluation of ICESat-2 ATL03/08 Surface Heights in Urban Environments Using Airborne LiDAR Point Cloud Data
Yi Zhao, Bin Wu, Song Shu, et al.
IEEE Geoscience and Remote Sensing Letters (2021) Vol. 19, pp. 1-5
Closed Access | Times Cited: 18
Improving GEDI Forest Canopy Height Products by Considering the Stand Age Factor Derived from Time-Series Remote Sensing Images: A Case Study in Fujian, China
Xiaocheng Zhou, Youzhuang Hao, Liping Di, et al.
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 467-467
Open Access | Times Cited: 7
Integration of very high-resolution stereo satellite images and airborne or satellite Lidar for Eucalyptus canopy height estimation
Manizheh Rajab Pourrahmati, Nicolas Baghdadi, Henrique Ferraço Scolforo, et al.
Science of Remote Sensing (2024) Vol. 10, pp. 100170-100170
Open Access | Times Cited: 2
The ATL08 as a height reference for the global digital elevation models
Nahed Osama, Zhenfeng Shao, Yue Ma, et al.
Geo-spatial Information Science (2022) Vol. 27, Iss. 2, pp. 327-346
Closed Access | Times Cited: 9
Extrapolation of canopy height and cover metrics of GEDI LiDAR in tropical montane forest ecosystem
Tenaw Geremew, Alemu Gonsamo, Worku Zewdie, et al.
African Geographical Review (2023) Vol. 43, Iss. 3, pp. 467-483
Closed Access | Times Cited: 5
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