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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:

Improved potato AGB estimates based on UAV RGB and hyperspectral images
Yang Liu, Haikuan Feng, Jibo Yue, et al.
Computers and Electronics in Agriculture (2023) Vol. 214, pp. 108260-108260
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Estimating potato above-ground biomass based on vegetation indices and texture features constructed from sensitive bands of UAV hyperspectral imagery
Yang Liu, Yiguang Fan, Haikuan Feng, et al.
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108918-108918
Closed Access | Times Cited: 49
Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data
Yang Liu, Haikuan Feng, Jibo Yue, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108808-108808
Closed Access | Times Cited: 45
A model suitable for estimating above-ground biomass of potatoes at different regional levels
Yang Liu, Yiguang Fan, Jibo Yue, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109081-109081
Closed Access | Times Cited: 30
Utilizing UAV-based hyperspectral remote sensing combined with various agronomic traits to monitor potato growth and estimate yield
Yang Liu, Haikuan Feng, Yiguang Fan, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109984-109984
Closed Access | Times Cited: 4
A novel winter wheat yield prediction framework using fused spatial–temporal-spectral (STS) information from Sentinel-2 and Landsat 8 via improved Pix2Pix network
Haiyang Zhang, Yao Zhang, Fanghui Tong, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109982-109982
Closed Access | Times Cited: 2
Predicting stomatal conductance of chili peppers using TPE-optimized LightGBM and SHAP feature analysis based on UAVs’ hyperspectral, thermal infrared imagery, and meteorological data
Haiyang Zhang, Wenwen Li, Guolong Wang, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 110036-110036
Closed Access | Times Cited: 2
Multi-vegetation indices based handheld device for precise nitrogen assessment and prescription in direct seeded rice
Manojit Chowdhury, Tapan Kumar Khura, Roaf Ahmad Parray, et al.
Computers and Electronics in Agriculture (2025) Vol. 229, pp. 109886-109886
Closed Access | Times Cited: 1
Estimation of potato above-ground biomass based on the VGC-AGB model and deep learning
Haikuan Feng, Yiguang Fan, Jibo Yue, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110122-110122
Closed Access | Times Cited: 1
Assessing radiometric calibration methods for multispectral UAV imagery and the influence of illumination, flight altitude and flight time on reflectance, vegetation index and inversion of winter wheat AGB and LAI
Honglei Zhu, Yanwei Huang, Z. H. An, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108821-108821
Closed Access | Times Cited: 12
Improved estimation of canopy water status in cotton using vegetation indices along with textural information from UAV-based multispectral images
Shengzhao Pei, Yulong Dai, Zhentao Bai, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109176-109176
Closed Access | Times Cited: 10
Estimation of winter canola growth parameter from UAV multi-angular spectral-texture information using stacking-based ensemble learning model
Ruiqi Du, Junsheng Lu, Youzhen Xiang, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109074-109074
Closed Access | Times Cited: 9
Crop canopy volume weighted by color parameters from UAV-based RGB imagery to estimate above-ground biomass of potatoes
Yang Liu, Fuqin Yang, Jibo Yue, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109678-109678
Closed Access | Times Cited: 8
Pretrained Deep Learning Networks and Multispectral Imagery Enhance Maize LCC, FVC, and Maturity Estimation
Jingyu Hu, Hao Feng, Qilei Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 784-784
Open Access | Times Cited: 7
Evaluating machine learning approaches for aboveground biomass prediction in fragmented high-elevated forests using multi-sensor satellite data
Asim Qadeer, Muhammad Shakir, Li Wang, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 36, pp. 101291-101291
Closed Access | Times Cited: 7
A novel lameness detection method for dairy cows based on temporal gait and spatial post features
Qian Li, Yongsheng Si, Mengyuan Chu, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109172-109172
Closed Access | Times Cited: 6
A study on an accurate modeling for distinguishing nitrogen, phosphorous and potassium status in summer maize using in situ canopy hyperspectral data
Di Lin, Yue Chen, Yongliang Qiao, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 108989-108989
Closed Access | Times Cited: 5
Bridging the gap between hyperspectral imaging and crop breeding: soybean yield prediction and lodging classification with prototype contrastive learning
Guangyao Sun, Zhang Yong, Lei Wang, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109859-109859
Closed Access
Thresholding and continuous wavelet transform (CWT) analysis of Ground Penetrating Radar (GPR) data for estimation of potato biomass
Henry Ruiz, Tyler Adams, Afolabi Agbona, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110114-110114
Open Access
Enhancing potato leaf protein content, carbon-based constituents, and leaf area index monitoring using radiative transfer model and deep learning
Haikuan Feng, Yiguang Fan, Jibo Yue, et al.
European Journal of Agronomy (2025) Vol. 166, pp. 127580-127580
Closed Access
Detection of Botrytis cinerea severity in rose petals using hyperspectral imaging for plant breeding applications
Maikel Zerdoner, S.H.E.J. Gabriëls, Paul Arens, et al.
Computers and Electronics in Agriculture (2025) Vol. 233, pp. 110210-110210
Open Access
Screening drought-resistant and water-saving winter wheat varieties by predicting yields with multi-source UAV remote sensing data
Xu Liu, Yang Han, Syed Tahir Ata-Ul-Karim, et al.
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110213-110213
Closed Access
Winter Wheat Yield Estimation with Color Index Fusion Texture Feature
Fuqin Yang, Yang Liu, Jiayu Yan, et al.
Agriculture (2024) Vol. 14, Iss. 4, pp. 581-581
Open Access | Times Cited: 4
Using spectral vegetation indices and machine learning models for predicting the yield of sugar beet (Beta vulgaris L.) under different irrigation treatments
Hasan Ali İrik, Ewa Ropelewska, Necati Çetin
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 109019-109019
Closed Access | Times Cited: 4
Study on the Estimation of Leaf Area Index in Rice Based on UAV RGB and Multispectral Data
Yuan Zhang, Youyi Jiang, Bo Xu, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 3049-3049
Open Access | Times Cited: 4
An overview of recent advancements in hyperspectral imaging in the egg and hatchery industry
Md Wadud Ahmed, Alin Khaliduzzaman, J.L. Emmert, et al.
Computers and Electronics in Agriculture (2024) Vol. 230, pp. 109847-109847
Open Access | Times Cited: 4
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