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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:

Rice Yield Prediction in Hubei Province Based on Deep Learning and the Effect of Spatial Heterogeneity
Shitong Zhou, Lei Xu, Nengcheng Chen
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1361-1361
Open Access | Times Cited: 17

Showing 17 citing articles:

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: 43
A Review of CNN Applications in Smart Agriculture Using Multimodal Data
Mohammad El Sakka, Mihai Ivanovici, Lotfi Chaâri, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 472-472
Open Access | Times Cited: 2
Applied Deep Learning-Based Crop Yield Prediction: A Systematic Analysis of Current Developments and Potential Challenges
Khadija Meghraoui, Imane Sebari, Jürgen Pilz, et al.
Technologies (2024) Vol. 12, Iss. 4, pp. 43-43
Open Access | Times Cited: 12
Monthly NDVI Prediction Using Spatial Autocorrelation and Nonlocal Attention Networks
Lei Xu, Runsheng Cai, Hongchu Yu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 3425-3437
Open Access | Times Cited: 9
Deep Learning for Multi-Source Data-Driven Crop Yield Prediction in Northeast China
Jian Lü, Jian Li, Hongkun Fu, et al.
Agriculture (2024) Vol. 14, Iss. 6, pp. 794-794
Open Access | Times Cited: 9
Advancements in Utilizing Image-Analysis Technology for Crop-Yield Estimation
Yu Feng, Ming Wang, Jun Xiao, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 1003-1003
Open Access | Times Cited: 8
Rice Yield Estimation Using Multi-Temporal Remote Sensing Data and Machine Learning: A Case Study of Jiangsu, China
Zhangxin Liu, Haoran Ju, Qiyun Ma, et al.
Agriculture (2024) Vol. 14, Iss. 4, pp. 638-638
Open Access | Times Cited: 7
Analysis and forecasting of Australian rice yield using phenology-based aggregation of satellite and weather data
James Brinkhoff, Allister Clarke, Brian W. Dunn, et al.
Agricultural and Forest Meteorology (2024) Vol. 353, pp. 110055-110055
Open Access | Times Cited: 5
Modern computational approaches for rice yield prediction: A systematic review of statistical and machine learning-based methods
Djavan De Clercq, Adam Mahdi
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109852-109852
Closed Access
Emerging Technologies for Precision Crop Management Towards Agriculture 5.0: A Comprehensive Overview
Mohamed Farag Taha, Hanping Mao, Zhao Zhang, et al.
Agriculture (2025) Vol. 15, Iss. 6, pp. 582-582
Open Access
3D-ResNet-BiLSTM Model: A Deep Learning Model for County-Level Soybean Yield Prediction with Time-Series Sentinel-1, Sentinel-2 Imagery, and Daymet Data
Mahdiyeh Fathi, Reza Shah-Hosseini, Armin Moghimi
Remote Sensing (2023) Vol. 15, Iss. 23, pp. 5551-5551
Open Access | Times Cited: 11
Winter Wheat Yield Prediction Based on the ASTGNN Model Coupled with Multi-Source Data
Zhicheng Ye, Xu Zhai, Tianlong She, et al.
Agronomy (2024) Vol. 14, Iss. 10, pp. 2262-2262
Open Access | Times Cited: 2
Progress in Research on Deep Learning-Based Crop Yield Prediction
Yuhan Wang, Qian Zhang, Yu Feng, et al.
Agronomy (2024) Vol. 14, Iss. 10, pp. 2264-2264
Open Access | Times Cited: 2
Research Progress on the Application of Crop Yield Calculation based on Image Analysis Technology
Feng Yu, Ming Wang, Jun Xiao, et al.
(2024)
Open Access | Times Cited: 1
Identifying Spatial Determinants of Rice Yields in Main Producing Areas of China Using Geospatial Machine Learning
Qingyan Wang, Longzhi Sun, Xuan Yang
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 3, pp. 76-76
Open Access | Times Cited: 1
Improving the estimation of rice above-ground biomass based on spatio-temporal UAV imagery and phenological stages
Yan Dai, Shuang’en Yu, Tao Ma, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access
Enhancing rice yield prediction: a deep fusion model integrating ResNet50-LSTM with multi source data
Aqsa Aslam, Saima Farhan
PeerJ Computer Science (2024) Vol. 10, pp. e2219-e2219
Open Access
Rice Yield Analysis and Forecasting Using Phenology-Based Time-Series Features
James Brinkhoff, Allister Clarke, Brian W. Dunn, et al.
(2023)
Closed Access
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