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.

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Showing 20 citing articles:

Interpretable prediction, classification and regulation of water quality: A case study of Poyang Lake, China
Zhiyuan Yao, Zhaocai Wang, Jinghan Huang, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175407-175407
Closed Access | Times Cited: 17

Dissolved oxygen prediction using regularized extreme learning machine with clustering mechanism in a black bass aquaculture pond
Pei Shi, Liang Kuang, Limin Yuan, et al.
Aquacultural Engineering (2024) Vol. 105, pp. 102408-102408
Closed Access | Times Cited: 9

Qualitative and quantitative detection of microplastics in soil based on LIF technology combined with OOA-ELM/SPA-PLS
Pengcheng Yan, Guodong Li, Wenchang Wang, et al.
Microchemical Journal (2024) Vol. 201, pp. 110632-110632
Closed Access | Times Cited: 5

Optimal selection of machine learning algorithms for ciprofloxacin prediction based on conventional water quality indicators
Shenqiong Jiang, Xiangju Cheng, Baoshan Shi, et al.
Ecotoxicology and Environmental Safety (2025) Vol. 289, pp. 117628-117628
Open Access

Soft Computing and Machine Learning Application on Water Quality Prognostication
Mallika, Nanhay Singh, Pankaj Lathar
Lecture notes in networks and systems (2025), pp. 737-751
Closed Access

Long-term spatiotemporal assessment of water quality in the Karun River, Southern Iran: a novel Python-based approach for rapid processing
Amirreza Arabameri, Samad Emamgholizadeh, Barkha Chaplot, et al.
Water quality research journal. (2025)
Open Access

Synergistic optimization of predictive models for water quality analysis in treatment plants using machine learning and evolutionary algorithms
Ahmed Ghareeb, Orhan Nooruldeen, Chelang A. Arslan, et al.
Evolutionary Intelligence (2025) Vol. 18, Iss. 2
Closed Access

An attempt to augment performance of machine learning models in a pilot-scale urban wastewater treatment system
Yinan Bu, Conghe Liu, Zhonglin Pan, et al.
Journal of Water Process Engineering (2024) Vol. 63, pp. 105410-105410
Closed Access | Times Cited: 3

Monthly Runoff Prediction for Xijiang River via Gated Recurrent Unit, Discrete Wavelet Transform, and Variational Modal Decomposition
Yuanyuan Yang, Weiyan Li, Dengfeng Liu
Water (2024) Vol. 16, Iss. 11, pp. 1552-1552
Open Access | Times Cited: 3

Enhancing battery state of charge estimation through hybrid integration of barnacles mating optimizer with deep learning
Zuriani Mustaffa, Mohd Herwan Sulaiman
Franklin Open (2023) Vol. 5, pp. 100053-100053
Open Access | Times Cited: 7

Dynamic optimization can effectively improve the accuracy of reference evapotranspiration in southern China
Xiang Xiao, Ziniu Xiao, Xiaogang Liu, et al.
Computers and Electronics in Agriculture (2024) Vol. 230, pp. 109881-109881
Closed Access | Times Cited: 1

Assessing the impact of rainfall on water quality in a coastal urban river utilizing the environmental fluid dynamics code
Qingqing Sun, Suyun Chang, Jingfu Wang, et al.
Urban Climate (2024) Vol. 56, pp. 102082-102082
Closed Access

Enhancing sewage flow prediction using an integrated improved SSA-CNN-Transformer-BiLSTM model
Jiawen Ye, Lei Dai, HaiYing Wang
AIMS Mathematics (2024) Vol. 9, Iss. 10, pp. 26916-26950
Open Access

Enhancing sewage flow prediction using an integrated improved SSA-CNN-Transformer-BiLSTM model
Jiawen Ye, Lei Dai, HaiYing Wang
AIMS Mathematics (2024) Vol. 9, Iss. 10, pp. 26916-26950
Open Access

Virtual special issue “Changes in hydrological processes and water resources in the context of climate change and carbon neutrality”
Huimin Lei, Xiaojun Wang, Yanlan Liu
Journal of Hydrology (2023) Vol. 627, pp. 130268-130268
Closed Access

A novel outlier calendrical heterogeneity reconstruction deep learning model for electricity demand forecasting
Huan Songhua
Journal of Intelligent & Fuzzy Systems (2023) Vol. 46, Iss. 2, pp. 3363-3394
Closed Access

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