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:
Predicting oil palm yield using a comprehensive agronomy dataset and 17 machine learning and deep learning models
Ehsan Jolous Jamshidi, Yusri Yusup, Chee‐Wooi Hooy, et al.
Ecological Informatics (2024) Vol. 81, pp. 102595-102595
Open Access | Times Cited: 7
Ehsan Jolous Jamshidi, Yusri Yusup, Chee‐Wooi Hooy, et al.
Ecological Informatics (2024) Vol. 81, pp. 102595-102595
Open Access | Times Cited: 7
Showing 7 citing articles:
Oilpalm-RTMDet: An lightweight oil palm detector base on RTMDet
Jirong Ding, Runlian Huang, Yehua Liang, et al.
Ecological Informatics (2025) Vol. 85, pp. 103000-103000
Open Access | Times Cited: 1
Jirong Ding, Runlian Huang, Yehua Liang, et al.
Ecological Informatics (2025) Vol. 85, pp. 103000-103000
Open Access | Times Cited: 1
Deep learning approaches for bias correction in WRF model outputs for enhanced solar and wind energy estimation: A case study in East and West Malaysia
Abigail Birago Adomako, Ehsan Jolous Jamshidi, Yusri Yusup, et al.
Ecological Informatics (2024), pp. 102898-102898
Open Access | Times Cited: 4
Abigail Birago Adomako, Ehsan Jolous Jamshidi, Yusri Yusup, et al.
Ecological Informatics (2024), pp. 102898-102898
Open Access | Times Cited: 4
The usage of machine learning approach in predicting oil extraction rate based on yield making, yield taking and mill processing factors on oil palm plantations in East Kalimantan, Indonesia
NA Suharyanti, H. Heriansyah, Ernawati Sinaga, et al.
IOP Conference Series Earth and Environmental Science (2025) Vol. 1477, Iss. 1, pp. 012055-012055
Open Access
NA Suharyanti, H. Heriansyah, Ernawati Sinaga, et al.
IOP Conference Series Earth and Environmental Science (2025) Vol. 1477, Iss. 1, pp. 012055-012055
Open Access
Estimation of Biophysical Parameters of Forage Cactus Under Different Agricultural Systems Through Vegetation Indices and Machine Learning Using RGB Images Acquired with Unmanned Aerial Vehicles
Gabriel Ítalo Novaes da Silva, Alexandre Maniçoba da Rosa Ferraz Jardim, Wagner Martins dos Santos, et al.
Agriculture (2024) Vol. 14, Iss. 12, pp. 2166-2166
Open Access | Times Cited: 2
Gabriel Ítalo Novaes da Silva, Alexandre Maniçoba da Rosa Ferraz Jardim, Wagner Martins dos Santos, et al.
Agriculture (2024) Vol. 14, Iss. 12, pp. 2166-2166
Open Access | Times Cited: 2
The quality of university educational programs on environmental and agrobiological focus in graduates’ opinion
Valentina Ivashova, Л. К. Парсиева, Juliya Lesnykh, et al.
BIO Web of Conferences (2024) Vol. 130, pp. 08009-08009
Open Access
Valentina Ivashova, Л. К. Парсиева, Juliya Lesnykh, et al.
BIO Web of Conferences (2024) Vol. 130, pp. 08009-08009
Open Access
U + LSTM-F: A data-driven growth process model of rice seedlings
Xin Tian, Wan-Quan Cao, Shaowen Liu, et al.
Ecological Informatics (2024), pp. 102922-102922
Open Access
Xin Tian, Wan-Quan Cao, Shaowen Liu, et al.
Ecological Informatics (2024), pp. 102922-102922
Open Access
Ratoon rice strategy for enhanced water resource management: A simulation-based study in tropical monsoon climates
Shutaro Shiraki, Kywae, Nwe Ni, et al.
Agricultural Water Management (2024) Vol. 307, pp. 109251-109251
Open Access
Shutaro Shiraki, Kywae, Nwe Ni, et al.
Agricultural Water Management (2024) Vol. 307, pp. 109251-109251
Open Access
Modelling height to crown base using non-parametric methods for mixed forests in China
Zeyu Zhou, Huiru Zhang, Ram P. Sharma, et al.
Ecological Informatics (2024), pp. 102957-102957
Open Access
Zeyu Zhou, Huiru Zhang, Ram P. Sharma, et al.
Ecological Informatics (2024), pp. 102957-102957
Open Access
