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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:

Ensemble Feature Selection for Plant Phenotyping: A Journey From Hyperspectral to Multispectral Imaging
Ali Moghimi, Ce Yang, Peter Marchetto
IEEE Access (2018) Vol. 6, pp. 56870-56884
Open Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning
Luwei Feng, Zhou Zhang, Yuchi Ma, et al.
Remote Sensing (2020) Vol. 12, Iss. 12, pp. 2028-2028
Open Access | Times Cited: 201
UAV in the advent of the twenties: Where we stand and what is next
Francesco Nex, Costas Armenakis, Michael Cramer, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 184, pp. 215-242
Open Access | Times Cited: 195
Retrieval of aboveground crop nitrogen content with a hybrid machine learning method
Katja Berger, Jochem Verrelst, Jean‐Baptiste Féret, et al.
International Journal of Applied Earth Observation and Geoinformation (2020) Vol. 92, pp. 102174-102174
Open Access | Times Cited: 147
Application of gradient boosting regression model for the evaluation of feature selection techniques in improving reservoir characterisation predictions
Daniel Asante Otchere, Tarek Ganat, Jude Oghenerurie Ojero, et al.
Journal of Petroleum Science and Engineering (2021) Vol. 208, pp. 109244-109244
Closed Access | Times Cited: 144
Feature Selection and Its Use in Big Data: Challenges, Methods, and Trends
Rong Miao, Dunwei Gong, Xiao‐Zhi Gao
IEEE Access (2019) Vol. 7, pp. 19709-19725
Open Access | Times Cited: 93
A Novel Machine Learning Approach to Estimate Grapevine Leaf Nitrogen Concentration Using Aerial Multispectral Imagery
Ali Moghimi, Alireza Pourreza, German Zuniga-Ramirez, et al.
Remote Sensing (2020) Vol. 12, Iss. 21, pp. 3515-3515
Open Access | Times Cited: 89
Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat
Ali Moghimi, Ce Yang, James A. Anderson
Computers and Electronics in Agriculture (2020) Vol. 172, pp. 105299-105299
Closed Access | Times Cited: 75
Plant trait estimation and classification studies in plant phenotyping using machine vision – A review
Shrikrishna Kolhar, Jayant Jagtap
Information Processing in Agriculture (2021) Vol. 10, Iss. 1, pp. 114-135
Open Access | Times Cited: 72
Machine Learning for Plant Stress Modeling: A Perspective towards Hormesis Management
Amanda Kim Rico-Chávez, Jesus Alejandro Franco, Arturo A. Fernandez‐Jaramillo, et al.
Plants (2022) Vol. 11, Iss. 7, pp. 970-970
Open Access | Times Cited: 45
A SYSTEMATIC LITERATURE REVIEW: RECURSIVE FEATURE ELIMINATION ALGORITHMS
Arif Mudi Priyatno, Triyanna Widiyaningtyas
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) (2024) Vol. 9, Iss. 2, pp. 196-207
Open Access | Times Cited: 16
Unsupervised band selection based on weighted information entropy and 3D discrete cosine transform for hyperspectral image classification
Shrutika S. Sawant, Prabukumar Manoharan
International Journal of Remote Sensing (2020) Vol. 41, Iss. 10, pp. 3948-3969
Closed Access | Times Cited: 58
Predictive spectral analysis using an end-to-end deep model from hyperspectral images for high-throughput plant phenotyping
Tanzeel U. Rehman, Dongdong Ma, Liangju Wang, et al.
Computers and Electronics in Agriculture (2020) Vol. 177, pp. 105713-105713
Closed Access | Times Cited: 55
Technical workflows for hyperspectral plant image assessment and processing on the greenhouse and laboratory scale
Stefan Paulus, Anne‐Katrin Mahlein
GigaScience (2020) Vol. 9, Iss. 8
Open Access | Times Cited: 53
A Machine-Learning-Based Framework for Retrieving Water Quality Parameters in Urban Rivers Using UAV Hyperspectral Images
Liu Bing, Tianhong Li
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 905-905
Open Access | Times Cited: 8
Leaf Area Index Estimation of Pergola-Trained Vineyards in Arid Regions Based on UAV RGB and Multispectral Data Using Machine Learning Methods
Osman Ilniyaz, Alishir Kurban, Qingyun Du
Remote Sensing (2022) Vol. 14, Iss. 2, pp. 415-415
Open Access | Times Cited: 27
A Review on Plant Disease Detection Using Hyperspectral Imaging
Rakiba Rayhana, Zhenyu Ma, Zheng Liu, et al.
IEEE Transactions on AgriFood Electronics (2023) Vol. 1, Iss. 2, pp. 108-134
Closed Access | Times Cited: 16
DeepAProt: Deep learning based abiotic stress protein sequence classification and identification tool in cereals
Bulbul Ahmed, Md. Ashraful Haque, Mir Asif Iquebal, et al.
Frontiers in Plant Science (2023) Vol. 13
Open Access | Times Cited: 15
CEU-Net: ensemble semantic segmentation of hyperspectral images using clustering
Nicholas Soucy, Salimeh Yasaei Sekeh
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 15
A Synthetic Review of Various Dimensions of Non-Destructive Plant Stress Phenotyping
Dapeng Ye, Libin Wu, Xiaobin Li, et al.
Plants (2023) Vol. 12, Iss. 8, pp. 1698-1698
Open Access | Times Cited: 15
Hyperspectral Imaging and Machine Learning as a Nondestructive Method for Proso Millet Seed Detection and Classification
Nader Ekramirad, Lauren E. Doyle, Julia R. Loeb, et al.
Foods (2024) Vol. 13, Iss. 9, pp. 1330-1330
Open Access | Times Cited: 5
Comparison of Selected Dimensionality Reduction Methods for Detection of Root-Knot Nematode Infestations in Potato Tubers Using Hyperspectral Imaging
Janez Lapajne, M. Knapič, Uroš Žibrat
Sensors (2022) Vol. 22, Iss. 1, pp. 367-367
Open Access | Times Cited: 22
Hyperspectral imaging detects biological stress of wheat for early diagnosis of crown rot disease
Yiting Xie, Darren Plett, Margaret L. Evans, et al.
Computers and Electronics in Agriculture (2023) Vol. 217, pp. 108571-108571
Open Access | Times Cited: 12
Estimation of soil organic matter content by combining Zhuhai-1 hyperspectral and Sentinel-2A multispectral images
Weihao Wang, Zhang Xia, Kun Shang, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109377-109377
Closed Access | Times Cited: 4
Fluorescence imaging for rapid monitoring of translocation behaviour of systemic markers in snap beans for automated crop/weed discrimination
Wen‐Hao Su, Steven A. Fennimore, David C. Slaughter
Biosystems Engineering (2019) Vol. 186, pp. 156-167
Open Access | Times Cited: 31
The Performances of Hyperspectral Sensors for Proximal Sensing of Nitrogen Levels in Wheat
Huajian Liu, Brooke Bruning, Trevor Garnett, et al.
Sensors (2020) Vol. 20, Iss. 16, pp. 4550-4550
Open Access | Times Cited: 28
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