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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:

Water Quality Chl-a Inversion Based on Spatio-Temporal Fusion and Convolutional Neural Network
Haibo Yang, Yao Du, Hongling Zhao, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1267-1267
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

A Review of Remote Sensing for Water Quality Retrieval: Progress and Challenges
Haibo Yang, Jialin Kong, Huihui Hu, et al.
Remote Sensing (2022) Vol. 14, Iss. 8, pp. 1770-1770
Open Access | Times Cited: 215
Application and recent progress of inland water monitoring using remote sensing techniques
Qi Cao, Gongliang Yu, Zhiyi Qiao
Environmental Monitoring and Assessment (2022) Vol. 195, Iss. 1
Closed Access | Times Cited: 48
Spatiotemporal-aware machine learning approaches for dissolved oxygen prediction in coastal waters
Wenzhao Liang, Tongcun Liu, Yuntao Wang, et al.
The Science of The Total Environment (2023) Vol. 905, pp. 167138-167138
Closed Access | Times Cited: 26
Estimation of Non-Optically Active Water Quality Parameters in Zhejiang Province Based on Machine Learning
Lingfang Gao, Yulin Shangguan, Sun Zhong, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 514-514
Open Access | Times Cited: 13
Spatio-temporal data fusion techniques for modeling digital twin City
Yuejin Li, Shengpeng Chen, Kai Hwang, et al.
Geo-spatial Information Science (2024), pp. 1-24
Open Access | Times Cited: 10
Retrieval of Chlorophyll-a Concentrations Using Sentinel-2 MSI Imagery in Lake Chagan Based on Assessments with Machine Learning Models
Xuming Shi, Lingjia Gu, Tao Jiang, et al.
Remote Sensing (2022) Vol. 14, Iss. 19, pp. 4924-4924
Open Access | Times Cited: 31
Meta-Analysis of Satellite Observations for United Nations Sustainable Development Goals: Exploring the Potential of Machine Learning for Water Quality Monitoring
Sabastian Simbarashe Mukonza, Jie‐Lun Chiang
Environments (2023) Vol. 10, Iss. 10, pp. 170-170
Open Access | Times Cited: 19
Evaluating optically and non-optically active water quality and its response relationship to hydro-meteorology using multi-source data in Poyang Lake, China
Bolin Fu, Zhinan Lao, Yiyin Liang, et al.
Ecological Indicators (2022) Vol. 145, pp. 109675-109675
Open Access | Times Cited: 24
Water Chlorophyll a Estimation Using UAV-Based Multispectral Data and Machine Learning
Xiyong Zhao, Yanzhou Li, Yongli Chen, et al.
Drones (2022) Vol. 7, Iss. 1, pp. 2-2
Open Access | Times Cited: 24
Medium-Sized Lake Water Quality Parameters Retrieval Using Multispectral UAV Image and Machine Learning Algorithms: A Case Study of the Yuandang Lake, China
Ying Lo, Lang Fu, Tiancheng Lu, et al.
Drones (2023) Vol. 7, Iss. 4, pp. 244-244
Open Access | Times Cited: 16
Retrieval performance of mangrove tree heights using multiple machine learning regression models and UAV-LiDAR point clouds
Bolin Fu, Linhang Jiang, Hang Yao, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 5
Spatiotemporal fusion for spectral remote sensing: A statistical analysis and review
Guangsheng Chen, Hailiang Lu, Weitao Zou, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 3, pp. 259-273
Open Access | Times Cited: 13
Machine learning for cyanobacteria inversion via remote sensing and AlgaeTorch in the Třeboň fishponds, Czech Republic
Ying Ge, Feilong Shen, Petr Sklenička, et al.
The Science of The Total Environment (2024) Vol. 947, pp. 174504-174504
Closed Access | Times Cited: 5
Long-Term Monitoring of Inland Water Quality Parameters Using Landsat Time-Series and Back-Propagated ANN: Assessment and Usability in a Real-Case Scenario
Gordana Jakovljević, María Flor Álvarez Taboada, Miro Govedarica
Remote Sensing (2023) Vol. 16, Iss. 1, pp. 68-68
Open Access | Times Cited: 10
Application of residual convolutional neural network based on mixed attention mechanism to water quality inversion: a case study of the Yellow River basin in Ningxia
Qi Li, Zhonghua Guo, Jialong Li, et al.
(2025), pp. 115-115
Closed Access
Spatial modeling of chlorophyll-a parameter by Landsat-8 satellite data and deep learning techniques: The case of Lake Mogan
Osman Karakoç, İlkay Buğdaycı
Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi (2025) Vol. 14, Iss. 2, pp. 615-629
Open Access
Assimilation of satellite-derived profile observations for enhanced estimation of water quality variables in a deep reservoir
Farzad Shahi, Mohammad Reza Nikoo, Sadegh Vanda, et al.
The Science of The Total Environment (2025) Vol. 982, pp. 179643-179643
Closed Access
Review on sea water quality (SWQ) monitoring using satellite remote sensing techniques (SRST)
Md Masudur Rahman, Roman Shults, Surya Prakash Tiwari, et al.
Marine Pollution Bulletin (2025) Vol. 217, pp. 118108-118108
Closed Access
Understanding the potential, uncertainties, and limitations of spatio-temporal fusion for monitoring chlorophyll-a concentration in inland eutrophic lakes
Linwei Yue, Lei Zhang, Rui Peng, et al.
Journal of Remote Sensing (2024) Vol. 4
Open Access | Times Cited: 3
Dissolved Oxygen Inversion Based on Himawari-8 Imagery and Machine Learning: A Case Study of Lake Chaohu
Kaifang Shi, Peng Wang, Hang Yin, et al.
Water (2023) Vol. 15, Iss. 17, pp. 3081-3081
Open Access | Times Cited: 7
A CNN–LSTM Machine-Learning Method for Estimating Particulate Organic Carbon from Remote Sensing in Lakes
Banglong Pan, Hanming Yu, Hongwei Cheng, et al.
Sustainability (2023) Vol. 15, Iss. 17, pp. 13043-13043
Open Access | Times Cited: 7
An Advanced Spatiotemporal Fusion Model for Suspended Particulate Matter Monitoring in an Intermontane Lake
Zhang Fei, Pan Duan, C.Y. Jim, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1204-1204
Open Access | Times Cited: 6
Estimating the vertical profile of water quality variables in reservoirs: Application of remotely sensed data and machine learning techniques
Farzad Shahi, Mohammad Reza Nikoo, Sadegh Vanda, et al.
The Science of The Total Environment (2024) Vol. 957, pp. 177543-177543
Closed Access | Times Cited: 2
Mapping the Continuous Cover of Invasive Noxious Weed Species Using Sentinel-2 Imagery and a Novel Convolutional Neural Regression Network
Fei Xing, Ru An, Xulin Guo, et al.
Remote Sensing (2024) Vol. 16, Iss. 9, pp. 1648-1648
Open Access | Times Cited: 1
Enhanced Water Quality Inversion in the Ningxia Yellow River Basin Using a Hybrid PCWA-ResCNN Model: Insights from Landsat-8 Data
Qi Li, Zhonghua Guo, Jialong Li, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8264-8264
Open Access | Times Cited: 1
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