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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:

Evaluation of modelling approaches in predicting forest volume and stand age for small-scale plantation forests in New Zealand with RapidEye and LiDAR
Cong Xu, Bruce Manley, Justin Morgenroth
International Journal of Applied Earth Observation and Geoinformation (2018) Vol. 73, pp. 386-396
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Estimating and mapping forest age across Canada's forested ecosystems
James C. Maltman, Txomin Hermosilla, Michael A. Wulder, et al.
Remote Sensing of Environment (2023) Vol. 290, pp. 113529-113529
Open Access | Times Cited: 35
Comparative analysis of k-nearest neighbors distance metrics for retrieving coastal water quality based on concurrent in situ and satellite observations
Bonyad Ahmadi, Mehdi Gholamalifard, Seyed Mahmoud Ghasempouri, et al.
Marine Pollution Bulletin (2025) Vol. 214, pp. 117816-117816
Closed Access | Times Cited: 1
An Integrated Approach for Post-Disaster Flood Management Via the Use of Cutting-Edge Technologies and UAVs: A Review
Hafiz Suliman Munawar, Ahmed W. A. Hammad, S. Travis Waller, et al.
Sustainability (2021) Vol. 13, Iss. 14, pp. 7925-7925
Open Access | Times Cited: 44
An Assessment of High-Density UAV Point Clouds for the Measurement of Young Forestry Trials
Robin J. L. Hartley, Ellen Mae C. Leonardo, Peter Massam, et al.
Remote Sensing (2020) Vol. 12, Iss. 24, pp. 4039-4039
Open Access | Times Cited: 44
Improved estimation of forest stand volume by the integration of GEDI LiDAR data and multi-sensor imagery in the Changbai Mountains Mixed forests Ecoregion (CMMFE), northeast China
Lin Chen, Chunying Ren, Bai Zhang, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 100, pp. 102326-102326
Open Access | Times Cited: 39
Modelling and Predicting the Growing Stock Volume in Small-Scale Plantation Forests of Tanzania Using Multi-Sensor Image Synergy
Ernest William Mauya, Joni Koskinen, Katri Tegel, et al.
Forests (2019) Vol. 10, Iss. 3, pp. 279-279
Open Access | Times Cited: 31
A Modified KNN Method for Mapping the Leaf Area Index in Arid and Semi-Arid Areas of China
Fugen Jiang, Andrew R. Smith, Mykola Kutia, et al.
Remote Sensing (2020) Vol. 12, Iss. 11, pp. 1884-1884
Open Access | Times Cited: 28
Sensitivity Analysis of the DART Model for Forest Mensuration with Airborne Laser Scanning
Osian Roberts, Peter Bunting, Andrew Hardy, et al.
Remote Sensing (2020) Vol. 12, Iss. 2, pp. 247-247
Open Access | Times Cited: 24
EcoDes-DK15: high-resolution ecological descriptors of vegetation and terrain derived from Denmark's national airborne laser scanning data set
Jakob J. Assmann, Jesper Erenskjold Moeslund, Urs A. Treier, et al.
Earth system science data (2022) Vol. 14, Iss. 2, pp. 823-844
Open Access | Times Cited: 15
Time-series forest age estimation in Xinjiang based on forest disturbance and recovery detection
Lili Zhai, Mei Zan, Mao Ye, et al.
Ecological Indicators (2025) Vol. 170, pp. 113043-113043
Open Access
Multi-Sensor Prediction of Stand Volume by a Hybrid Model of Support Vector Machine for Regression Kriging
Lin Chen, Chunying Ren, Bai Zhang, et al.
Forests (2020) Vol. 11, Iss. 3, pp. 296-296
Open Access | Times Cited: 22
Generalized models for subtropical forest inventory attribute estimations using a rule-based exhaustive combination approach with airborne LiDAR-derived metrics
Chungan Li, Zhongchao Chen, Xiangbei Zhou, et al.
GIScience & Remote Sensing (2023) Vol. 60, Iss. 1
Open Access | Times Cited: 8
Evaluation of Prescribed Fires from Unmanned Aerial Vehicles (UAVs) Imagery and Machine Learning Algorithms
Luis A. Pérez-Rodríguez, Carmen Quintano, Elena Marcos, et al.
Remote Sensing (2020) Vol. 12, Iss. 8, pp. 1295-1295
Open Access | Times Cited: 19
Forest age mapping based on multiple-resource remote sensing data
Xiguang Yang, Yuqi Liu, Zechuan Wu, et al.
Environmental Monitoring and Assessment (2020) Vol. 192, Iss. 11
Closed Access | Times Cited: 18
Effect of sample size on the estimation of forest inventory attributes using airborne LiDAR data in large-scale subtropical areas
Chungan Li, Zhu Yu, Huabing Dai, et al.
Annals of Forest Science (2023) Vol. 80, Iss. 1
Open Access | Times Cited: 6
Effects of model-overfit on model-assisted forest inventory in boreal forests with remote sensing data
Diogo Nepomuceno Cosenza, Svetlana Saarela, Jacob Strunk, et al.
Forestry An International Journal of Forest Research (2024)
Open Access | Times Cited: 2
Regional Forest Volume Estimation by Expanding LiDAR Samples Using Multi-Sensor Satellite Data
Bo Xie, Chunxiang Cao, Min Xu, et al.
Remote Sensing (2020) Vol. 12, Iss. 3, pp. 360-360
Open Access | Times Cited: 13
Biophysical feedback of forest canopy height on land surface temperature over contiguous United States
Zhijiang Zhang, Xinxin Li, Hongguang Liu
Environmental Research Letters (2021) Vol. 17, Iss. 3, pp. 034002-034002
Open Access | Times Cited: 13
USING MACHINE LEARNING CLASSIFIERS AND REGRESSION MODELS FOR ESTIMATING THE STAND AGES OF FALCATA PLANTATIONS FROM SENTINEL DATA
John Carl Escasio, Jojene R. Santillan, Meriam Makinano-Santillan
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2023) Vol. XLVIII-4/W6-2022, pp. 465-472
Open Access | Times Cited: 5
China’s larch stock volume estimation using Sentinel-2 and LiDAR data
Tao Yu, Yong Pang, Xiaojun Liang, et al.
Geo-spatial Information Science (2022) Vol. 26, Iss. 3, pp. 392-405
Open Access | Times Cited: 7
Forest age estimation using UAV-LiDAR and Sentinel-2 data with machine learning algorithms- a case study of Masson pine ( Pinus massoniana )
Jinjin Chen, Xuejian Li, Zihao Huang, et al.
Geo-spatial Information Science (2024), pp. 1-21
Open Access | Times Cited: 1
Updating Forest Stand Inventories: Integration of Photo-Interpreted and Airborne Laser Scanning Forest Attributes Using Generic Region Merging Segmentation and kNN Imputation
Ethan E. Berman, Nicholas C. Coops, Geordie Robere-McGugan, et al.
Canadian Journal of Remote Sensing (2024) Vol. 50, Iss. 1
Open Access | Times Cited: 1
An updated survey on the use of geospatial technologies in New Zealand’s plantation forestry sector
Sarah de Gouw, Justin Morgenroth, Cong Xu
New Zealand journal of forestry science (2020) Vol. 50
Open Access | Times Cited: 6
Predicting forest stand attributes using the integration of airborne laser scanning and Worldview-3 data in a mixed forest in Turkey
Ulaş Yunus Özkan, Tufan Demirel, İbrahim Özdemir, et al.
Advances in Space Research (2021) Vol. 69, Iss. 2, pp. 1146-1158
Closed Access | Times Cited: 6
Research on Estimating and Evaluating Subtropical Forest Carbon Stocks by Combining Multi-Payload High-Resolution Satellite Data
Yisha Du, Donghua Chen, Hu Li, et al.
Forests (2023) Vol. 14, Iss. 12, pp. 2388-2388
Open Access | Times Cited: 2
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