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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:

Investigating the robustness of the new Landsat-8 Operational Land Imager derived texture metrics in estimating plantation forest aboveground biomass in resource constrained areas
Timothy Dube, Onisimo Mutanga
ISPRS Journal of Photogrammetry and Remote Sensing (2015) Vol. 108, pp. 12-32
Closed Access | Times Cited: 146

Showing 1-25 of 146 citing articles:

Soybean yield prediction from UAV using multimodal data fusion and deep learning
Maitiniyazi Maimaitijiang, Vasit Sagan, Paheding Sidike, et al.
Remote Sensing of Environment (2019) Vol. 237, pp. 111599-111599
Open Access | Times Cited: 703
Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years
Jingfeng Xiao, Frédéric Chevallier, Cécile Gomez, et al.
Remote Sensing of Environment (2019) Vol. 233, pp. 111383-111383
Open Access | Times Cited: 498
Estimation and mapping of above-ground biomass of mangrove forests and their replacement land uses in the Philippines using Sentinel imagery
Jose Alan A. Castillo, Armando Apan, Tek Maraseni, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2017) Vol. 134, pp. 70-85
Closed Access | Times Cited: 254
Examining Spectral Reflectance Saturation in Landsat Imagery and Corresponding Solutions to Improve Forest Aboveground Biomass Estimation
Panpan Zhao, Dengsheng Lu, Guangxing Wang, et al.
Remote Sensing (2016) Vol. 8, Iss. 6, pp. 469-469
Open Access | Times Cited: 211
Review of Remote Sensing-Based Methods for Forest Aboveground Biomass Estimation: Progress, Challenges, and Prospects
Lei Tian, Xiaocan Wu, Tao Yu, et al.
Forests (2023) Vol. 14, Iss. 6, pp. 1086-1086
Open Access | Times Cited: 78
Forest biomass carbon stock estimates via a novel approach: K-nearest neighbor-based weighted least squares multiple birth support vector regression coupled with whale optimization algorithm
Nianchun Deng, Riwei Xu, Ying Zhang, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110020-110020
Closed Access | Times Cited: 2
Examining the potential of Sentinel-2 MSI spectral resolution in quantifying above ground biomass across different fertilizer treatments
Mbulisi Sibanda, Onisimo Mutanga, Mathieu Rouget
ISPRS Journal of Photogrammetry and Remote Sensing (2015) Vol. 110, pp. 55-65
Closed Access | Times Cited: 163
Monitoring mangrove biomass change in Vietnam using SPOT images and an object-based approach combined with machine learning algorithms
Lien T.H. Pham, Lars Brabyn
ISPRS Journal of Photogrammetry and Remote Sensing (2017) Vol. 128, pp. 86-97
Closed Access | Times Cited: 163
Examining the strength of the newly-launched Sentinel 2 MSI sensor in detecting and discriminating subtle differences between C3 and C4 grass species
Cletah Shoko, Onisimo Mutanga
ISPRS Journal of Photogrammetry and Remote Sensing (2017) Vol. 129, pp. 32-40
Closed Access | Times Cited: 129
Using Landsat Spectral Indices in Time-Series to Assess Wildfire Disturbance and Recovery
Samuel Hislop, Simon Jones, Mariela Soto‐Berelov, et al.
Remote Sensing (2018) Vol. 10, Iss. 3, pp. 460-460
Open Access | Times Cited: 129
Estimating Above-Ground Biomass in Sub-Tropical Buffer Zone Community Forests, Nepal, Using Sentinel 2 Data
Santa Pandit, Satoshi Tsuyuki, Timothy Dube
Remote Sensing (2018) Vol. 10, Iss. 4, pp. 601-601
Open Access | Times Cited: 123
Comparison of machine learning algorithms for forest parameter estimations and application for forest quality assessments
Qingxia Zhao, Shichuan Yu, Fei Zhao, et al.
Forest Ecology and Management (2018) Vol. 434, pp. 224-234
Closed Access | Times Cited: 122
Estimating biomass of winter oilseed rape using vegetation indices and texture metrics derived from UAV multispectral images
Yinuo Liu, Shishi Liu, Jing Li, et al.
Computers and Electronics in Agriculture (2019) Vol. 166, pp. 105026-105026
Closed Access | Times Cited: 117
Stacked Sparse Autoencoder Modeling Using the Synergy of Airborne LiDAR and Satellite Optical and SAR Data to Map Forest Above-Ground Biomass
Zhenfeng Shao, Linjing Zhang, Lei Wang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2017) Vol. 10, Iss. 12, pp. 5569-5582
Closed Access | Times Cited: 100
Enhancing the Nitrogen Signals of Rice Canopies across Critical Growth Stages through the Integration of Textural and Spectral Information from Unmanned Aerial Vehicle (UAV) Multispectral Imagery
Hengbiao Zheng, Jifeng Ma, Meng Zhou, et al.
Remote Sensing (2020) Vol. 12, Iss. 6, pp. 957-957
Open Access | Times Cited: 76
Integrating spectral and textural information for identifying the tasseling date of summer maize using UAV based RGB images
Yahui Guo, Yongshuo H. Fu, Shouzhi Chen, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102435-102435
Open Access | Times Cited: 71
Diagnosis of winter-wheat water stress based on UAV-borne multispectral image texture and vegetation indices
Yongcai Zhou, Congcong Lao, Yalong Yang, et al.
Agricultural Water Management (2021) Vol. 256, pp. 107076-107076
Closed Access | Times Cited: 71
Improved estimation of aboveground biomass in rubber plantations by fusing spectral and textural information from UAV-based RGB imagery
Yuying Liang, Weili Kou, Hongyan Lai, et al.
Ecological Indicators (2022) Vol. 142, pp. 109286-109286
Closed Access | Times Cited: 46
Geospatial technology in agroforestry: status, prospects, and constraints
Prashant Sharma, D. R. Bhardwaj, M. K. Singh, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 55, pp. 116459-116487
Closed Access | Times Cited: 42
Forest Aboveground Biomass Estimation and Inventory: Evaluating Remote Sensing-Based Approaches
Muhammad Nouman Khan, Yumin Tan, Ahmad Ali Gul, et al.
Forests (2024) Vol. 15, Iss. 6, pp. 1055-1055
Open Access | Times Cited: 10
Diagnosis of nitrogen status in winter oilseed rape (Brassica napus L.) using in-situ hyperspectral data and unmanned aerial vehicle (UAV) multispectral images
Shishi Liu, Lantao Li, Wenhan Gao, et al.
Computers and Electronics in Agriculture (2018) Vol. 151, pp. 185-195
Closed Access | Times Cited: 79
Progress in the remote sensing of C3 and C4 grass species aboveground biomass over time and space
Cletah Shoko, Onisimo Mutanga, Timothy Dube
ISPRS Journal of Photogrammetry and Remote Sensing (2016) Vol. 120, pp. 13-24
Closed Access | Times Cited: 77
Prediction of aboveground grassland biomass on the Loess Plateau, China, using a random forest algorithm
Yinyin Wang, Gao‐Lin Wu, Lei Deng, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 69
Estimating Biomass of Native Grass Grown under Complex Management Treatments Using WorldView-3 Spectral Derivatives
Mbulisi Sibanda, Onisimo Mutanga, Mathieu Rouget, et al.
Remote Sensing (2017) Vol. 9, Iss. 1, pp. 55-55
Open Access | Times Cited: 67
Mapping forest aboveground biomass in the reforested Buffelsdraai landfill site using texture combinations computed from SPOT-6 pan-sharpened imagery
Sizwe Thamsanqa Hlatshwayo, Onisimo Mutanga, Romano Lottering, et al.
International Journal of Applied Earth Observation and Geoinformation (2018) Vol. 74, pp. 65-77
Closed Access | Times Cited: 67
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