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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:

Applications of Convolutional Neural Network for Classification of Land Cover and Groundwater Potentiality Zones
Asnakew Mulualem Tegegne
Journal of Engineering (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 23

Showing 23 citing articles:

Spatial prediction of groundwater potential and driving factor analysis based on deep learning and geographical detector in an arid endorheic basin
Zitao Wang, Jianping Wang, Jinjun Han
Ecological Indicators (2022) Vol. 142, pp. 109256-109256
Closed Access | Times Cited: 42
Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India
Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 7
The potential evaluation of groundwater by integrating rank sum ratio (RSR) and machine learning algorithms in the Qaidam Basin
Zitao Wang, Jianping Wang, Dongmei Yu, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 23, pp. 63991-64005
Closed Access | Times Cited: 15
Enhancing groundwater level prediction accuracy using interpolation techniques in deep learning models
Erfan Abdi, Mumtaz Ali, Celso Augusto Guimarães Santos, et al.
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101213-101213
Closed Access | Times Cited: 6
Convolutional Neural Network-Based Deep Learning Approach for Automatic Flood Mapping Using NovaSAR-1 and Sentinel-1 Data
Ogbaje Andrew, Armando Apan, Dev Raj Paudyal, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 5, pp. 194-194
Open Access | Times Cited: 13
Integrated fuzzy logic and multicriteria decision model methods for selecting suitable sites for wastewater treatment plant: A case study in the center of Basrah, Iraq
F Lefta, Ahmed Naseh Ahmed Hamdan
Open Engineering (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
A deep learning-based approach for distinguishing different stress levels of human brain using EEG and pulse rate
Prithwijit Mukherjee, Anisha Halder Roy
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 16, pp. 2303-2324
Closed Access | Times Cited: 11
Groundwater potential assessment using GIS-based ensemble learning models in Guanzhong Basin, China
Zitao Wang, Jianping Wang, Dongmei Yu, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 6
Closed Access | Times Cited: 10
Spatial modeling of brine level and salinity in the Qarhan Salt Lake using GIS and automated machine learning algorithms
Dongmei Yu, Zitao Wang, Chao Yue, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102195-102195
Closed Access
Deep Learning-Based Classification of Agricultural Soil Textures for Enhanced Crop Productivity
G. C. Jayashree, S Dharshini, D. Lokesh, et al.
Lecture notes in networks and systems (2025), pp. 83-95
Closed Access
Topic Words‐Based Multilingual Hateful Linguistic Resources Construction for Developing Multilingual Hateful Content Detection Model Using Deep Learning Technique
Naol Bakala Defersha, Kula Kekeba Tune, Solomon Teferra Abate
IET Information Security (2025) Vol. 2025, Iss. 1
Open Access
Groundwater potential delineation using geodetector based convolutional neural network in the Gunabay watershed of Ethiopia
Asnakew Mulualem Tegegne, Tarun Kumar Lohani, Abunu Atlabachew Eshete
Environmental Research (2023) Vol. 242, pp. 117790-117790
Closed Access | Times Cited: 9
Groundwater level prediction for excessive agricultural irrigation to achieve SDGs: vulnerability assessment using field-based empirical method
Dipankar Ruidas, Subodh Chandra Pal, Asish Saha, et al.
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101304-101304
Closed Access | Times Cited: 2
Spatial predictions of groundwater potential using automated machine learning (AutoML): a comparative study of feature selection and training sample size in Qinghai Province, China
Zitao Wang, Jianping Wang, Mengling Li
Environmental Science and Pollution Research (2023) Vol. 31, Iss. 1, pp. 1127-1145
Closed Access | Times Cited: 4
A “Region-Specific Model Adaptation (RSMA)”-Based Training Data Method for Large-Scale Land Cover Mapping
Congcong Li, George Xian, Suming Jin
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3717-3717
Open Access | Times Cited: 1
Prediction of Sulfur Removal from Iron Concentrate Using Column Flotation Froth Features: Comparison of k-Means Clustering, Regression, Backpropagation Neural Network, and Convolutional Neural Network
Fardis Nakhaei, Samira Rahimi, Mohammadbagher Fathi
Minerals (2022) Vol. 12, Iss. 11, pp. 1434-1434
Open Access | Times Cited: 6
Discriminating WirelessHART Communication Devices Using Sub-Nyquist Stimulated Responses
Jeffrey D. Long, Michael A. Temple, Christopher M. Rondeau
Electronics (2023) Vol. 12, Iss. 9, pp. 1973-1973
Open Access | Times Cited: 3
Assessment of Object-Based Classification for Mapping Land Use and Land Cover using Google Earth
Rohini Selvaraj, D. Geraldine Bessie Amali
Global NEST Journal (2023)
Open Access | Times Cited: 3
(Retracted) Feature extraction method CNDFA for target contour of coal and gangue based on multifractal
Na Li, Jiameng Xue, Sheng Gao
Journal of Electronic Imaging (2022) Vol. 31, Iss. 04
Closed Access | Times Cited: 4
Prediction of Land Use and Landcover Changes in Tiruppur Tamilnadu Using Hybrid Convolutional Neural Network
Sathyanarayan Sridhar
Global NEST Journal (2023)
Open Access | Times Cited: 2
Comparative analysis of deep learning and machine learning algorithm for concrete crack detection
R. Padmavathy, G. Kalaiarasi, R. Venkatasubramanian, et al.
AIP conference proceedings (2024) Vol. 3022, pp. 020020-020020
Closed Access
SABO–LSTM: A Novel Human Behavior Recognition Method for Wearable Devices
Wei Zhang, Guibo Yu, Shijie Deng
Journal of Engineering (2024) Vol. 2024, Iss. 1
Open Access
Convolutional Encoder-Decoder with LSTM Approach-Based Groundwater Potential Mapping Using Remote Sensing and GIS
Soundharyaa Shri Harini. R, Vidhya Lakshmi Sivakumar, V. Amudha, et al.
(2023), pp. 1182-1191
Closed Access
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