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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:

Knowledge transfer for adapting pre-trained deep neural models to predict different greenhouse environments based on a low quantity of data
Taewon Moon, Jung Eek Son
Computers and Electronics in Agriculture (2021) Vol. 185, pp. 106136-106136
Closed Access | Times Cited: 17

Showing 17 citing articles:

Deep-Learning Temporal Predictor via Bidirectional Self-Attentive Encoder–Decoder Framework for IOT-Based Environmental Sensing in Intelligent Greenhouse
Xue‐Bo Jin, Wei-Zhen Zheng, Jianlei Kong, et al.
Agriculture (2021) Vol. 11, Iss. 8, pp. 802-802
Open Access | Times Cited: 73
Long Short-Term Memory Recurrent Neural Network and Extreme Gradient Boosting Algorithms Applied in a Greenhouse’s Internal Temperature Prediction
Juan M. Esparza-Gómez, Luis F. Luque-Vega, Héctor A. Guerrero-Osuna, et al.
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12341-12341
Open Access | Times Cited: 11
Integration of Deep Learning and Sparrow Search Algorithms to Optimize Greenhouse Microclimate Prediction for Seedling Environment Suitability
Dongyuan Shi, Pan Yuan, Longwei Liang, et al.
Agronomy (2024) Vol. 14, Iss. 2, pp. 254-254
Open Access | Times Cited: 3
Standardizing and Centralizing Datasets for Efficient Training of Agricultural Deep Learning Models
Amogh Joshi, Darío Guevara, Mason Earles
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 9
A hierarchical optimization strategy in the intelligent ecological control of the greenhouse downy mildew
Ran Liu, José Luís Guzmán, Juan D. Gil, et al.
Computers and Electronics in Agriculture (2023) Vol. 214, pp. 108337-108337
Closed Access | Times Cited: 8
Enhanced detection of mango leaf diseases in field environments using MSMP-CNN and transfer learning
Yi-Chen Chen, Jen-Cheng Wang, Mu-Hwa Lee, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109636-109636
Closed Access | Times Cited: 2
Parallel Control of Greenhouse Climate With a Transferable Prediction Model
Xiaoxuan Zhao, Yingqi Han, Udom Lewlomphaisarl, et al.
IEEE Journal of Radio Frequency Identification (2022) Vol. 6, pp. 857-861
Closed Access | Times Cited: 11
Prediction of Internal Temperature in Greenhouses Using the Supervised Learning Techniques: Linear and Support Vector Regressions
Fabian García-Vázquez, Jesús R. Ponce-González, Héctor A. Guerrero-Osuna, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8531-8531
Open Access | Times Cited: 5
Non-Destructive Monitoring of Crop Fresh Weight and Leaf Area with a Simple Formula and a Convolutional Neural Network
Taewon Moon, Dongpil Kim, Sungmin Kwon, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 7728-7728
Open Access | Times Cited: 8
Estimation of cucumber net primary production using environmental and control information in a smart multi-span plastic greenhouse
Minseok Kang, Jeong Yong Lee, Seungwon Sohn, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108819-108819
Closed Access | Times Cited: 1
Parameterization and Calibration of Wild Blueberry Machine Learning Models to Predict Fruit-Set in the Northeast China Bog Blueberry Agroecosystem
Hongchun Qu, Rui Xiang, Efrem Yohannes Obsie, et al.
Agronomy (2021) Vol. 11, Iss. 9, pp. 1736-1736
Open Access | Times Cited: 10
CWD30: A new benchmark dataset for crop weed recognition in precision agriculture
Talha Ilyas, Dewa Made Sri Arsa, Khubaib Ahmad, et al.
Computers and Electronics in Agriculture (2024) Vol. 229, pp. 109737-109737
Closed Access
A novel approach to screening patents for securitization: a machine learning-based predictive analysis of high-quality basic asset
Cheng Liu, Shi Yi, Wenjing Xie, et al.
Kybernetes (2023) Vol. 53, Iss. 2, pp. 763-778
Closed Access | Times Cited: 1
A Seasonal-Trend Decomposition and Single Dendrite Neuron-Based Predicting Model for Greenhouse Time Series
Qianqian Li, Houtian He, Chenxi Xue, et al.
Environmental Modeling & Assessment (2023) Vol. 29, Iss. 3, pp. 427-440
Closed Access | Times Cited: 1
A Hybrid Model for Temperature Prediction in a Sheep House
Dachun Feng, Bing Zhou, Shahbaz Gul Hassan, et al.
Animals (2022) Vol. 12, Iss. 20, pp. 2806-2806
Open Access | Times Cited: 2
Automated Crop Growth Monitoring and Optimizing the Yield with Reinforcement Learning
Snehitha Gorantla, S. Veluchamy
(2023), pp. 1-6
Closed Access
Factors affecting energy consumption and productivity in greenhouses
Mohammad Younesi Alamooti, Hamid Khafajeh, Mohammad Zarein
Spanish Journal of Agricultural Research (2021) Vol. 19, Iss. 4, pp. e0209-e0209
Open Access
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