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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:

Downscaling solar-induced chlorophyll fluorescence for field-scale cotton yield estimation by a two-step convolutional neural network
Xiaoyan Kang, Changping Huang, Lifu Zhang, et al.
Computers and Electronics in Agriculture (2022) Vol. 201, pp. 107260-107260
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Assessing the environmental impact of agricultural production structure transformation — Evidence from the non-grain production of cropland in China
Qiao Li, Wei Chen, Haimeng Shi, et al.
Environmental Impact Assessment Review (2024) Vol. 106, pp. 107489-107489
Closed Access | Times Cited: 21
Spatiotemporal analysis of AGB and BGB in China: Responses to climate change under SSP scenarios
Chuanmei Zhu, Yupu Li, Jianli Ding, et al.
Geoscience Frontiers (2025), pp. 102038-102038
Open Access | Times Cited: 2
From leaf to multiscale models of photosynthesis: applications and challenges for crop improvement
Alexandrina Stirbet, Ya Guo, Dušan Lazár, et al.
Photosynthesis Research (2024) Vol. 161, Iss. 1-2, pp. 21-49
Closed Access | Times Cited: 7
The relationship between wheat yield and sun-induced chlorophyll fluorescence from continuous measurements over the growing season
Jie Zhu, Yuming Yin, Jingshan Lu, et al.
Remote Sensing of Environment (2023) Vol. 298, pp. 113791-113791
Closed Access | Times Cited: 15
Integrating environmental and satellite data to estimate county-level cotton yield in Xinjiang Province
Ping Lang, Lifu Zhang, Changping Huang, et al.
Frontiers in Plant Science (2023) Vol. 13
Open Access | Times Cited: 14
Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data
Mehmet Furkan Çelik, Mustafa Serkan Ișık, Gülşen Taşkın, et al.
IEEE Geoscience and Remote Sensing Letters (2023) Vol. 20, pp. 1-5
Closed Access | Times Cited: 14
Can Yield Prediction Be Fully Digitilized? A Systematic Review
Nicoleta Darra, Evangelos Anastasiou, Olga Kriezi, et al.
Agronomy (2023) Vol. 13, Iss. 9, pp. 2441-2441
Open Access | Times Cited: 13
Broad Scope of Site‐Specific Crop Management and Specific Role of Remote Sensing Technologies Within It—A Review
Abid Ali, Muhammad Hassan, Hans‐Peter Kaul
Journal of Agronomy and Crop Science (2024) Vol. 210, Iss. 4
Open Access | Times Cited: 4
Assessing the severity of cotton Verticillium wilt disease from in situ canopy images and spectra using convolutional neural networks
Xiaoyan Kang, Changping Huang, Lifu Zhang, et al.
The Crop Journal (2022) Vol. 11, Iss. 3, pp. 933-940
Open Access | Times Cited: 19
Solar Induced Chlorophyll Fluorescence: Origins and Applications, Relation to Photosynthesis and Retrieval
Yongguang Zhang, Zhaoying Zhang
Elsevier eBooks (2025)
Closed Access
A practical approach for grading cotton Verticillium wilt severity for remote sensing monitoring
Y. S. Gui, Changping Huang, Junru Zhou, et al.
Agricultural and Forest Meteorology (2025) Vol. 368, pp. 110559-110559
Closed Access
A Comprehensive Review of Deep Learning Applications in Cotton Industry: From Field Monitoring to Smart Processing
Zheng Yang, W. L. Xia, Hone‐Jay Chu, et al.
Plants (2025) Vol. 14, Iss. 10, pp. 1481-1481
Open Access
Net Primary Productivity Estimation of Terrestrial Ecosystems in China with Regard to Saturation Effects and Its Spatiotemporal Evolutionary Impact Factors
Shuaiyang Qi, Huaiqing Zhang, Meng Zhang
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2871-2871
Open Access | Times Cited: 9
The 10-m cotton maps in Xinjiang, China during 2018–2021
Xiaoyan Kang, Changping Huang, Jing M. Chen, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 9
Stratified diagnosis of cotton canopy spectral characteristics based on CWT-SPA and its relationship with moisture, nitrogen, and SPAD values
Nannan Zhang, Xiao Zhang, Peng Shang, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 2, pp. 325-350
Closed Access | Times Cited: 3
YOLO SSPD: a small target cotton boll detection model during the boll-spitting period based on space-to-depth convolution
Mengli Zhang, Wei Chen, Pan Gao, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 3
Regional-scale cotton yield forecast via data-driven spatio-temporal prediction (STP) of solar-induced chlorophyll fluorescence (SIF)
Xiaoyan Kang, Changping Huang, Lifu Zhang, et al.
Remote Sensing of Environment (2023) Vol. 299, pp. 113861-113861
Closed Access | Times Cited: 8
Using enhanced vegetation index and land surface temperature to reconstruct the solar-induced chlorophyll fluorescence of forests and grasslands across latitude and phenology
Peipei Zhang, Haiqiu Liu, Hangzhou Li, et al.
Frontiers in Forests and Global Change (2023) Vol. 6
Open Access | Times Cited: 7
Planting Age Identification and Yield Prediction of Apple Orchard Using Time-Series Spectral Endmember and Logistic Growth Model
Xiang Gao, Wenchao Han, Qiyuan Hu, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 642-642
Open Access | Times Cited: 6
A New Drought Fluorescence Monitoring Index Established for Detecting Drought Evolution Characteristics in the Middle and Lower Reaches of the Yangtze River, China During 2001–2020
Meng Li, Ronghao Chu, Abu Reza Md. Towfiqul Islam
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-13
Closed Access | Times Cited: 6
A novel nondestructive detection approach for seed cotton lint percentage using deep learning
Lijie Geng, Pengji Yan, Zhikun Ji, et al.
Journal of Cotton Research (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2
Hybrid Machine Learning and Geostatistical Methods for Gap Filling and Predicting Solar-Induced Fluorescence Values
Jovan M. Tadić, Velibor Ilić, Slobodan Ilić, et al.
Remote Sensing (2024) Vol. 16, Iss. 10, pp. 1707-1707
Open Access | Times Cited: 2
A high-resolution satellite-based solar-induced chlorophyll fluorescence dataset for China from 2000 to 2022
Shiyu Tao, Jing M. Chen, Zhaoying Zhang, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Soil Salinity Estimation in Cotton Fields in Arid Regions Based on Multi-Granularity Spectral Segmentation (MGSS)
Xianglong Fan, Xiaoyan Kang, Pan Gao, et al.
Remote Sensing (2023) Vol. 15, Iss. 13, pp. 3358-3358
Open Access | Times Cited: 4
Downscaling Solar-Induced Chlorophyll Fluorescence to a 0.05° Monthly Product Using AVHRR Data in East Asia (1995–2003)
Yan Jin, Yong Ge, Haoyu Fan, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 6379-6393
Open Access | Times Cited: 1
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