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:

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: 68

Showing 1-25 of 68 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

Remote Sensing of Above-Ground Biomass
Lalit Kumar, Onisimo Mutanga
Remote Sensing (2017) Vol. 9, Iss. 9, pp. 935-935
Open Access | Times Cited: 227

Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning
Vasit Sagan, Maitiniyazi Maimaitijiang, Sourav Bhadra, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 174, pp. 265-281
Open Access | Times Cited: 124

Spectral saturation in the remote sensing of high-density vegetation traits: A systematic review of progress, challenges, and prospects
Onisimo Mutanga, Anita Masenyama, Mbulisi Sibanda
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 198, pp. 297-309
Closed Access | Times Cited: 92

High-resolution satellite imagery applications in crop phenotyping: An overview
Chongyuan Zhang, Afef Marzougui, Sindhuja Sankaran
Computers and Electronics in Agriculture (2020) Vol. 175, pp. 105584-105584
Open Access | Times Cited: 117

dPEN: deep Progressively Expanded Network for mapping heterogeneous agricultural landscape using WorldView-3 satellite imagery
Paheding Sidike, Vasit Sagan, Maitiniyazi Maimaitijiang, et al.
Remote Sensing of Environment (2018) Vol. 221, pp. 756-772
Open Access | Times Cited: 93

Estimating Aboveground Biomass Using Sentinel-2 MSI Data and Ensemble Algorithms for Grassland in the Shengjin Lake Wetland, China
Chunhua Li, Lizhi Zhou, Wenbin Xu
Remote Sensing (2021) Vol. 13, Iss. 8, pp. 1595-1595
Open Access | Times Cited: 87

Estimating above ground biomass as an indicator of carbon storage in vegetated wetlands of the grassland biome of South Africa
Laven Naidoo, Heidi van Deventer, Abel Ramoelo, et al.
International Journal of Applied Earth Observation and Geoinformation (2019) Vol. 78, pp. 118-129
Open Access | Times Cited: 78

Improving estimation of maize leaf area index by combining of UAV-based multispectral and thermal infrared data: The potential of new texture index
Ning Yang, Zhitao Zhang, Junrui Zhang, et al.
Computers and Electronics in Agriculture (2023) Vol. 214, pp. 108294-108294
Closed Access | Times Cited: 33

Application of Convolutional Neural Network on Lei Bamboo Above-Ground-Biomass (AGB) Estimation Using Worldview-2
Luofan Dong, Huaqiang Du, Ning Han, et al.
Remote Sensing (2020) Vol. 12, Iss. 6, pp. 958-958
Open Access | Times Cited: 67

Estimating Crop Biophysical Parameters Using Machine Learning Algorithms and Sentinel-2 Imagery
Mahlatse Kganyago, Paidamwoyo Mhangara, Clement Adjorlolo
Remote Sensing (2021) Vol. 13, Iss. 21, pp. 4314-4314
Open Access | Times Cited: 42

Assessing the Prospects of Remote Sensing Maize Leaf Area Index Using UAV-Derived Multi-Spectral Data in Smallholder Farms across the Growing Season
Siphiwokuhle Buthelezi, Onisimo Mutanga, Mbulisi Sibanda, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1597-1597
Open Access | Times Cited: 21

Estimating high-density aboveground biomass within a complex tropical grassland using Worldview-3 imagery
Rowan Naicker, Onisimo Mutanga, Kabir Peerbhay, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 4
Open Access | Times Cited: 6

Biomass Estimation and Saturation Value Determination Based on Multi-Source Remote Sensing Data
Rula Sa, Yonghui Nie, С. И. Чумаченко, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2250-2250
Open Access | Times Cited: 6

Integration of UAV-sensed features using machine learning methods to assess species richness in wet grassland ecosystems
Clara Oliva Gonçalves Bazzo, Bahareh Kamali, Murilo dos Santos Vianna, et al.
Ecological Informatics (2024), pp. 102813-102813
Open Access | Times Cited: 5

Mapping changes in artisanal and small-scale mining (ASM) landscape using machine and deep learning algorithms. - a proxy evaluation of the 2017 ban on ASM in Ghana
Clement Nyamekye, Benjamin Ghansah, Emmanuel Agyapong, et al.
Environmental Challenges (2021) Vol. 3, pp. 100053-100053
Open Access | Times Cited: 28

Better Inversion of Wheat Canopy SPAD Values before Heading Stage Using Spectral and Texture Indices Based on UAV Multispectral Imagery
Yin Quan, Yuting Zhang, Weilong Li, et al.
Remote Sensing (2023) Vol. 15, Iss. 20, pp. 4935-4935
Open Access | Times Cited: 12

Contributions of landscape heterogeneity within the footprint of eddy-covariance towers to flux measurements
Vincenzo Giannico, Jiquan Chen, Changliang Shao, et al.
Agricultural and Forest Meteorology (2018) Vol. 260-261, pp. 144-153
Closed Access | Times Cited: 36

Estimating biomass of savanna grasslands as a proxy of carbon stock using multispectral remote sensing
Lazarus Chapungu, Luxon Nhamo, Roberto Cazzolla Gatti
Remote Sensing Applications Society and Environment (2019) Vol. 17, pp. 100275-100275
Closed Access | Times Cited: 35

Monitoring drought response and chlorophyll content in Quercus by consumer-grade, near-infrared (NIR) camera: a comparison with reflectance spectroscopy
Sabrina Raddi, Francesca Giannetti, Sofia Martini, et al.
New Forests (2021) Vol. 53, Iss. 2, pp. 241-265
Open Access | Times Cited: 24

Estimating Crop Seed Composition Using Machine Learning from Multisensory UAV Data
Kamila Dilmurat, Vasit Sagan, Maitiniyazi Maimaitijiang, et al.
Remote Sensing (2022) Vol. 14, Iss. 19, pp. 4786-4786
Open Access | Times Cited: 19

Evaluation of winter-wheat water stress with UAV-based multispectral data and ensemble learning method
Ning Yang, Zhitao Zhang, Binbin Ding, et al.
Plant and Soil (2023) Vol. 497, Iss. 1-2, pp. 647-668
Closed Access | Times Cited: 11

Prediction of pasture yield using machine learning-based optical sensing: a systematic review
Christoph Stumpe, Joerg Leukel, Tobias Zimpel
Precision Agriculture (2023) Vol. 25, Iss. 1, pp. 430-459
Open Access | Times Cited: 10

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