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:

Physics-informed neural network-based serial hybrid model capturing the hidden kinetics for sulfur-driven autotrophic denitrification process
Xu Zou, Hongxiao Guo, Chu-Kuan Jiang, et al.
Water Research (2023) Vol. 243, pp. 120331-120331
Closed Access | Times Cited: 13

Showing 13 citing articles:

Optimization of a Novel Engineered Ecosystem Integrating Carbon, Nitrogen, Phosphorus, and Sulfur Biotransformation for Saline Wastewater Treatment Using an Interpretable Machine Learning Approach
Jinqi Jiang, Xiang Xiang, Qinhao Zhou, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 29, pp. 12989-12999
Closed Access | Times Cited: 10

Integrated real-time intelligent control for wastewater treatment plants: data-driven modeling for enhanced prediction and regulatory strategies
Wei Dai, Ji-Wei Pang, Jie Ding, et al.
Water Research (2025) Vol. 274, pp. 123099-123099
Closed Access

Deciphering and Mitigating of Dynamic Greenhouse Gas Emission in Urban Drainage Systems with Knowledge-Infused Graph Neural Network
Wanxin Yin, Kehua Chen, Jia-Qiang Lv, et al.
Environmental Science & Technology (2025)
Closed Access

Making waves: Knowledge and data fusion in urban water modelling
Haoran Duan, Jiuling Li, Zhiguo Yuan
Water Research X (2024) Vol. 24, pp. 100234-100234
Closed Access | Times Cited: 5

Operator learning for urban water clarification hydrodynamics and particulate matter transport with physics-informed neural networks
Haochen Li, Mohamed Shatarah
Water Research (2024) Vol. 251, pp. 121123-121123
Closed Access | Times Cited: 3

Novel sulfide-driven denitrification methane oxidation (SDMO) system based on SBR-MBfR and EGSB-MBfR
Wei Wang, Miao Yu, Lei Zhao, et al.
Chemical Engineering Journal (2024), pp. 155948-155948
Closed Access | Times Cited: 1

Sulfur cycle-mediated biological nitrogen removal and greenhouse gas abatement processes: Micro-oxygen regulation tells the story
Yu Zhang, Wei Wang, Xijun Xu, et al.
Bioresource Technology (2024) Vol. 414, pp. 131614-131614
Closed Access | Times Cited: 1

Structure-activity relationship between crystal plane and pyrite-driven autotrophic denitrification efficacy: Electron transfer and metagenome-based microbial mechanism
Yingmu Wang, Shi Chen, Yuanjing Chen, et al.
Water Research (2024) Vol. 268, pp. 122756-122756
Closed Access | Times Cited: 1

Supporting data–enhanced hybrid ordinary differential equation model for phosphate dynamics in municipal wastewater treatment
Guang-yao Zhao, Hiroaki Furumai, Masafumi Fujita
Bioresource Technology (2024) Vol. 409, pp. 131217-131217
Closed Access

Causal Prior-Embedded Physics-Informed Neural Networks and a Case Study on Metformin Transport in Porous Media
Qiao Kang, Baiyu Zhang, Yiqi Cao, et al.
Water Research (2024) Vol. 261, pp. 121985-121985
Open Access

A Novel Hybrid Deep Learning Framework for Evaluating Field Evapotranspiration Considering the Impact of Soil Salinity
Yao Rong, Weishu Wang, Peijin Wu, et al.
Water Resources Research (2024) Vol. 60, Iss. 9
Open Access

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