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:

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: 30

Showing 1-25 of 30 citing articles:

Recent Advancements and Challenges of AIoT Application in Smart Agriculture: A Review
Hasyiya Karimah Adli, Muhammad Akmal Remli, Khairul Nizar Syazwan Wan Salihin Wong, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3752-3752
Open Access | Times Cited: 67

Foundation Models for Generalist Geospatial Artificial Intelligence
Johannes Jakubik, Sujit Roy, Chris Phillips, et al.
(2024)
Open Access | Times Cited: 58

A review of remote sensing image segmentation by deep learning methods
Jiangyun Li, Yuanxiu Cai, Qing Li, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 20

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

Contribution of the Ramsar convention to the conservation of West-African mangroves: a case study in Benin
Babatondé Innocent Kochoni, Kolawolé Valère Salako, Jones Abrefa Danquah, et al.
Wetlands Ecology and Management (2025) Vol. 33, Iss. 1
Closed Access

Ensemble machine learning models for monitoring riparian vegetation dynamics using historical aerial orthophotos
Hamid Afzali, Miloš Rusnák
Remote Sensing Applications Society and Environment (2025), pp. 101545-101545
Closed Access

PEBU-Net: A lightweight segmentation network for blueberry bruising based on Unet3 + using hyperspectral transmission imaging
Jingyuan Dai, Guozheng Wang, Mianqing Yang, et al.
Measurement (2025), pp. 117700-117700
Closed Access

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: 3

Soil and satellite remote sensing variables importance using machine learning to predict cotton yield
Franciele Morlin Carneiro, Armando Lopes de Brito Filho, F. M. de B. Ferreira, et al.
Smart Agricultural Technology (2023) Vol. 5, pp. 100292-100292
Open Access | Times Cited: 8

Few-Shot Learning for Crop Mapping from Satellite Image Time Series
Sina Mohammadi, Mariana Belgiu, Alfred Stein
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 1026-1026
Open Access | Times Cited: 2

SiamC Transformer: Siamese coupling swin transformer Multi-Scale semantic segmentation network for vegetation extraction under shadow conditions
Shichao Cui, Wei Chen, Wenzhu Gu, et al.
Computers and Electronics in Agriculture (2023) Vol. 213, pp. 108245-108245
Closed Access | Times Cited: 5

Histogram matching-based semantic segmentation model for crop classification with Sentinel-2 satellite imagery
Lijun Wang, Yang Bai, Jiayao Wang, et al.
GIScience & Remote Sensing (2023) Vol. 60, Iss. 1
Open Access | Times Cited: 5

A Novel Method for Identifying Crops in Parcels Constrained by Environmental Factors Through the Integration of a Gaofen-2 High-Resolution Remote Sensing Image and Sentinel-2 Time Series
Weijia Chen, Guilin Liu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 450-463
Open Access | Times Cited: 4

A new method for classifying maize by combining the phenological information of multiple satellite-based spectral bands
Qiongyan Peng, Ruoque Shen, Jie Dong, et al.
Frontiers in Environmental Science (2023) Vol. 10
Open Access | Times Cited: 3

Feature-reinforced dual-encoder aggregation network for flue-cured tobacco grading
Dongdong Chen, Yinhui Zhang, Zifen HE, et al.
Computers and Electronics in Agriculture (2023) Vol. 210, pp. 107887-107887
Closed Access | Times Cited: 3

Deep Learning Analysis of Urban Growth Boundaries: An Evaluation of Effectiveness in Mitigating Urban Sprawl in China
Yong Liu, Lulu He, Jinzhu Wang, et al.
Journal of Urban Planning and Development (2023) Vol. 150, Iss. 1
Closed Access | Times Cited: 2

Bayesian Aggregation Improves Traditional Single-Image Crop Classification Approaches
Ivan Matvienko, Mikhail Gasanov, Anna Petrovskaia, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8600-8600
Open Access | Times Cited: 3

A Transferable Learning Classification Model and Carbon Sequestration Estimation of Crops in Farmland Ecosystem
Lijun Wang, Yang Bai, Jiayao Wang, et al.
Remote Sensing (2022) Vol. 14, Iss. 20, pp. 5216-5216
Open Access | Times Cited: 3

ENHANCED U-NET ALGORITHM FOR TYPICAL CROP CLASSIFICATION USING GF-6 WFV REMOTE SENSING IMAGES
Yinjiang Jia, Hao Lan, Renshan Jia, et al.
Engenharia Agrícola (2024) Vol. 44
Open Access

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