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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:

Deep learning with data preprocessing methods for water quality prediction in ultrafiltration
Jaegyu Shim, Seokmin Hong, Jiye Lee, et al.
Journal of Cleaner Production (2023) Vol. 428, pp. 139217-139217
Closed Access | Times Cited: 19

Showing 19 citing articles:

Water quality prediction in the Yellow River source area based on the DeepTCN-GRU model
Qingqing Tian, Wei Luo, Lei Guo
Journal of Water Process Engineering (2024) Vol. 59, pp. 105052-105052
Closed Access | Times Cited: 19
Simulation models of microbial community, pH, and volatile fatty acids of anaerobic digestion developed by machine learning
Sung Il Yu, Heewon Jeong, Juhee Shin, et al.
Journal of Water Process Engineering (2024) Vol. 60, pp. 105225-105225
Closed Access | Times Cited: 8
Predicting the distribution coefficient of cesium in solid phase groups using machine learning
Seok Min Hong, In-Ho Yoon, Kyung Hwa Cho
Chemosphere (2024) Vol. 352, pp. 141462-141462
Closed Access | Times Cited: 7
Adsorption of uranyl ion on hexagonal boron nitride for remediation of real U-contaminated soil and its interpretation using random forest
Byung-Moon Jun, Sung Ho Chae, Deokhwan Kim, et al.
Journal of Hazardous Materials (2024) Vol. 469, pp. 134072-134072
Closed Access | Times Cited: 6
Efficiency assessment and scenario simulation of the water-energy-food system in the Yellow river basin, China
Chenjun Zhang, Xiangyang Zhao, Changfeng Shi
Energy (2024) Vol. 305, pp. 132279-132279
Closed Access | Times Cited: 5
Assessment and enhancement pathways of the Water-Energy-Food-Economy-Ecosystem Nexus in China's Yellow River Basin
Chenjun Zhang, Y. Wei, Xiangyang Zhao, et al.
Energy (2025), pp. 134492-134492
Closed Access
Enhancing Water Quality Monitoring with Explainable AI and WGAN-Based Data Augmentation
Shofia Priyadharshini D., G. P. Ramesh
Remote Sensing in Earth Systems Sciences (2025)
Closed Access
Frontiers in machine learning strategies for dye removal in water treatment
Guanfeng Zheng, Peng Fu, Xinglin Li
Journal of Water Process Engineering (2025) Vol. 71, pp. 107251-107251
Closed Access
Water quality prediction of artificial intelligence model: a case of Huaihe River Basin, China
Jing Chen, H. Li, Manirankunda Felix, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 10, pp. 14610-14640
Closed Access | Times Cited: 3
Distribution coefficient prediction using multimodal machine learning based on soil adsorption factors, XRF, and XRD spectrum data
Seongyeon Na, Heewon Jeong, Ilgook Kim, et al.
Journal of Hazardous Materials (2024) Vol. 478, pp. 135285-135285
Closed Access | Times Cited: 3
Traceability analysis of wastewater in coal to ethylene glycol process based on dynamic simulation and deep learning
Zhe Cui, Yang Sun, Zhe Li, et al.
Journal of Cleaner Production (2024) Vol. 443, pp. 141133-141133
Closed Access | Times Cited: 2
Determining water and solute permeability of reverse osmosis membrane using a data-driven machine learning pipeline
Sung Ho Chae, Seok Won Hong, Moon Son, et al.
Journal of Water Process Engineering (2024) Vol. 64, pp. 105634-105634
Open Access | Times Cited: 2
Multimodal deep learning models incorporating the adsorption characteristics of the adsorbent for estimating the permeate flux in dynamic membranes
Heewon Jeong, B.K. Yun, Seongyeon Na, et al.
Journal of Membrane Science (2024) Vol. 709, pp. 123105-123105
Closed Access | Times Cited: 2
Forecasting the potential of reclaimed water using signal decomposition and deep learning
Yinglong Chen, Hongling Zhang, Jingkai Peng, et al.
Journal of Water Process Engineering (2024) Vol. 65, pp. 105770-105770
Closed Access | Times Cited: 2
Evaluating nano-metal oxide mixed matrix membranes for whey protein separation using hybrid intelligent optimization learning
Lukka Thuyavan Yogarathinam, Jamilu Usman, Sani I. Abba, et al.
Process Safety and Environmental Protection (2024) Vol. 205, pp. 388-400
Closed Access | Times Cited: 1
Spatiotemporal Changes and Simulation Prediction of Ecological Security Pattern on the Qinghai–Tibet Plateau Based on Deep Learning
Longqing Liu, Shidong Zhang, Wenshu Liu, et al.
Land (2024) Vol. 13, Iss. 7, pp. 1073-1073
Open Access | Times Cited: 1
Energy-saving analysis of desalination equipment based on a machine-learning sequence modeling
Xiaodong Zhang, Yuepeng Jiang, Ke Li, et al.
Energy Harvesting and Systems (2024) Vol. 11, Iss. 1
Closed Access
A hybrid deep learning model based on signal decomposition and dynamic feature selection for forecasting the influent parameters of wastewater treatment plants
Yinglong Chen, Hongling Zhang, You Yang, et al.
Environmental Research (2024) Vol. 266, pp. 120615-120615
Closed Access
Short-term forecasting of dissolved oxygen based on spatial-temporal attention mechanism and kernel-based loss function
Neha Pant, Durga Toshniwal, Bhola R. Gurjar
Journal of Water Process Engineering (2024) Vol. 69, pp. 106677-106677
Closed Access
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