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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:

Evaluation of a deep-learning model for multispectral remote sensing of land use and crop classification
Lijun Wang, Jiayao Wang, Zhenzhen Liu, et al.
The Crop Journal (2022) Vol. 10, Iss. 5, pp. 1435-1451
Open Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

A Review on Multiscale-Deep-Learning Applications
Elizar Elizar, Mohd Asyraf Zulkifley, Rusdha Muharar, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7384-7384
Open Access | Times Cited: 60
Deep Learning Semantic Segmentation for Land Use and Land Cover Types Using Landsat 8 Imagery
Wuttichai Boonpook, Yumin Tan, Attawut Nardkulpat, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 1, pp. 14-14
Open Access | Times Cited: 30
Characterising the distribution of mangroves along the southern coast of Vietnam using multi-spectral indices and a deep learning model
Thuong V. Tran, Ruth Reef, Xuan Zhu, et al.
The Science of The Total Environment (2024) Vol. 923, pp. 171367-171367
Open Access | Times Cited: 14
Mapping upland crop–rice cropping systems for targeted sustainable intensification in South China
Bingwen Qiu, Linhai Yu, Peng Yang, et al.
The Crop Journal (2024) Vol. 12, Iss. 2, pp. 614-629
Open Access | Times Cited: 9
Deep segmentation and classification of complex crops using multi-feature satellite imagery
Lijun Wang, Jiayao Wang, Xiwang Zhang, et al.
Computers and Electronics in Agriculture (2022) Vol. 200, pp. 107249-107249
Closed Access | Times Cited: 31
MP-Net: An efficient and precise multi-layer pyramid crop classification network for remote sensing images
Changhong Xu, Maofang Gao, Jingwen Yan, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108065-108065
Open Access | Times Cited: 14
Machine learning versus deep learning in land system science: a decision-making framework for effective land classification
Jane Southworth, Audrey Culver Smith, Mohammad Reza Safaei, et al.
Frontiers in Remote Sensing (2024) Vol. 5
Open Access | Times Cited: 5
A framework base on deep neural network (DNN) for land use land cover (LULC) and rice crop classification without using survey data
Mamoon Ur Rasheed, Syed Amer Mahmood
Climate Dynamics (2023) Vol. 61, Iss. 11-12, pp. 5629-5652
Closed Access | Times Cited: 12
A Method for Calculating the Leaf Area of Pak Choi Based on an Improved Mask R-CNN
Fei Huang, Yanming Li, Zixiang Liu, et al.
Agriculture (2024) Vol. 14, Iss. 1, pp. 101-101
Open Access | Times Cited: 4
Farmland Segmentation in Landsat 8 Satellite Images Using Deep Learning and Conditional Generative Adversarial Networks
Shruti Nair, Sara Sharifzadeh, Vasile Palade
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 823-823
Open Access | Times Cited: 4
A Multispectral Remote Sensing Crop Segmentation Method Based on Segment Anything Model Using Multistage Adaptation Fine-Tuning
Binbin Song, Hui Yang, Yanlan Wu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-18
Closed Access | Times Cited: 4
A multi-angle comprehensive solution based on deep learning to extract cultivated land information from high-resolution remote sensing images
Zhenzhen Liu, Ning Li, Lijun Wang, et al.
Ecological Indicators (2022) Vol. 141, pp. 108961-108961
Open Access | Times Cited: 19
Investigating the Potential of Crop Discrimination in Early Growing Stage of Change Analysis in Remote Sensing Crop Profiles
Mengfan Wei, Hongyan Wang, Yuan Zhang, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 853-853
Open Access | Times Cited: 11
Cotton crop classification using satellite images with score level fusion based hybrid model
Amandeep Kaur, Geetanjali Singla, Manjinder Singh, et al.
Pattern Analysis and Applications (2024) Vol. 27, Iss. 2
Closed Access | Times Cited: 4
Transferability of Machine Learning Models for Crop Classification in Remote Sensing Imagery Using a New Test Methodology: A Study on Phenological, Temporal, and Spatial Influences
Hauke Hoppe, Peter Dietrich, Philip Marzahn, et al.
Remote Sensing (2024) Vol. 16, Iss. 9, pp. 1493-1493
Open Access | Times Cited: 4
Remote Sensing Data for Predicting Crop Growth
Yunan Li, Sahraoui Dhelim, Liming Chen, et al.
Lecture notes in computer science (2025), pp. 12-26
Closed Access
A novel framework for developing accurate and explainable leaf nitrogen content estimation model for aquilaria sinensis seedlings using canopy RGB imagery
Zhulin Chen, Xuefeng Wang
Biosystems Engineering (2025) Vol. 251, pp. 128-144
Closed Access
Semantic Segmentation for Simultaneous Crop and Land Cover Land Use Classification Using Multi-Temporal Landsat Imagery
Saman Ebrahimi, Saurav Kumar
Remote Sensing Applications Society and Environment (2025), pp. 101505-101505
Closed Access
Effective Cultivated Land Extraction in Complex Terrain Using High-Resolution Imagery and Deep Learning Method
Zhenzhen Liu, Jianhua Guo, C. Li, et al.
Remote Sensing (2025) Vol. 17, Iss. 5, pp. 931-931
Open Access
Evaluation of a CNN model to map vegetation classification in a subalpine coniferous forest using UAV imagery
Weibo Shi, Xiaohan Liao, Shaoqiang Wang, et al.
Ecological Informatics (2025), pp. 103111-103111
Open Access
Next-generation high-throughput phenotyping with trait prediction through adaptable multi-task computational intelligence
Jan Zdrazil, Lingping Kong, Pavel Klimeš, et al.
Computers and Electronics in Agriculture (2025) Vol. 235, pp. 110390-110390
Open Access
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
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
Crop Identification of UAV Images Based on an Unsupervised Semantic Segmentation Method
Zhang Zebing, Leiguang Wang, Yuncheng Chen, et al.
IEEE Geoscience and Remote Sensing Letters (2024) Vol. 21, pp. 1-5
Closed Access | Times Cited: 3
UAV-Based Classification of Intercropped Forage Cactus: A Comparison of RGB and Multispectral Sample Spaces Using Machine Learning in an Irrigated Area
Oto Barbosa de Andrade, Abelardo Antônio de Assunção Montenegro, Moisés Alves da Silva Neto, et al.
AgriEngineering (2024) Vol. 6, Iss. 1, pp. 509-525
Open Access | Times Cited: 3
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