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:

Prediction of Photochemical Properties of Dissolved Organic Matter Using Machine Learning
Zhiyang Liao, Jinrong Lu, Kunting Xie, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 17971-17980
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Enhancing phosphorus source apportionment in watersheds through species-specific analysis
Yuansi Hu, Mengli Chen, Jia Pu, et al.
Water Research (2024) Vol. 253, pp. 121262-121262
Closed Access | Times Cited: 16

The prediction of donor number and acceptor number of electrolyte solvent molecules based on machine learning
Huaping Hu, Yuqing Shan, Qiming Zhao, et al.
Journal of Energy Chemistry (2024) Vol. 98, pp. 374-382
Closed Access | Times Cited: 14

Differential Adsorption of Dissolved Organic Matter and Phosphorus on Clay Mineral in Water-Sediment System
Menghan Yu, Zongle Gan, Wei Zhang, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 4, pp. 2078-2088
Closed Access | Times Cited: 11

Insights into the transformation of natural organic matter during UV/peroxydisulfate treatment by FT-ICR MS and machine learning: Non-negligible formation of organosulfates
Junfang Li, Wenlei Qin, Bao Zhu, et al.
Water Research (2024) Vol. 256, pp. 121564-121564
Closed Access | Times Cited: 9

Dissolved Organic Carbon Estimation in Lakes: Improving Machine Learning with Data Augmentation on Fusion of Multi-Sensor Remote Sensing Observations
Seyed Babak Haji Seyed Asadollah, Ahmadreza Safaeinia, Sina Jarahizadeh, et al.
Water Research (2025) Vol. 277, pp. 123350-123350
Closed Access | Times Cited: 1

Machine learning and experimentally exploring the controversial role of nitrogen in CO2 uptake by waste-derived nitrogen-containing porous carbons
Jingjing Zhao, Siyu Zhang, Xuejiao Zhang, et al.
The Science of The Total Environment (2024) Vol. 938, pp. 173471-173471
Closed Access | Times Cited: 6

Exploring the potential of machine learning to understand the occurrence and health risks of haloacetic acids in a drinking water distribution system
Ying Yu, Md. Mahjib Hossain, Rabbi Sikder, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175573-175573
Closed Access | Times Cited: 6

Prediction of heavy metal removal performance of sulfate-reducing bacteria using machine learning
Beiyi Xiong, Kai Chen, Changdong Ke, et al.
Bioresource Technology (2024) Vol. 397, pp. 130501-130501
Closed Access | Times Cited: 5

Photo-production of excited triplet-state of dissolved organic matters in inland freshwater and coastal seawater
Zhongyu Guo, Tingting Wang, Hidetaka Ichiyanagi, et al.
Water Research (2024) Vol. 253, pp. 121260-121260
Open Access | Times Cited: 4

Reassessing the Quantum Yield and Reactivity of Triplet-State Dissolved Organic Matter via Global Kinetic Modeling
Penghui Du, Kexin Tang, Biwei Yang, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 13, pp. 5856-5865
Closed Access | Times Cited: 4

Transforming PFAS management: A critical review of machine learning applications for enhanced monitoring and treatment
Md Hasan-Ur Rahman, Rabbi Sikder, Tanvir Ahamed Tonmoy, et al.
Journal of Water Process Engineering (2025) Vol. 70, pp. 106941-106941
Closed Access

An Innovative Framework for Urban Allergenic Risk Assessment: Perspectives from Hazard to “Hazard-Exposure-Vulnerability”
Rongbo Xiao, Junhong Zhong, Xin Rao, et al.
Building and Environment (2025), pp. 112507-112507
Closed Access

From Quencher to Promoter: Revisiting the Role of 2,4,6-Trimethylphenol (TMP) in Triplet-State Photochemistry of Dissolved Organic Matter
Penghui Du, Biwei Yang, Alex Chow, et al.
Environmental Science & Technology (2025)
Closed Access

The key components of biochar's environmental behavior and potential ecological risks: Biochar-derived dissolved organic matter
Bo Peng, Tingting Li, Yinghui Guo, et al.
Journal of Water Process Engineering (2025) Vol. 72, pp. 107499-107499
Closed Access

Efficient Production of Reactive Oxidants by Atmospheric Bacterial-Derived Organic Matter in the Aqueous Phase
Yushuo Liu, Yitao Li, Wing Lam Chan, et al.
Environmental Science & Technology (2025)
Closed Access

The photoactivity of complexation of DOM and Fe(Ⅱ)/Mn(Ⅱ) in aquatic system: Implication on the photodegradation of MCLR
Haishuo Wang, Xiuchun Tian, Zhichun Li, et al.
Journal of environmental chemical engineering (2025), pp. 116703-116703
Closed Access

Machine Learning-Driven FT-ICR MS Analysis of Leachate DOM Ozonation and Membrane Fouling
Bing Xie, Feng Zhou, Yinglong Su, et al.
Research Square (Research Square) (2025)
Closed Access

Carmna: classification and regression models for nitrogenase activity based on a pretrained large protein language model
Anqiang Ye, Jiyun Zhang, Qian Xu, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access

Integrating Machine Learning and SHAP Analysis to Advance the Rational Design of Benzothiadiazole Derivatives with Tailored Photophysical Properties
Rafael F. Veríssimo, Pedro Henrique Ferreira Matias, Mateus Rodrigues Barbosa, et al.
Journal of Chemical Information and Modeling (2025)
Open Access

Photoproduction of reactive intermediates from dissolved organic matter in coastal seawater around an urban metropolis in South China: Characterization and predictive modeling
Yitao Li, Kai Zhang, Jennifer N. Apell, et al.
The Science of The Total Environment (2024) Vol. 921, pp. 170998-170998
Closed Access | Times Cited: 3

Identifying influence factors and thresholds of the next day's pollen concentration in different seasons using interpretable machine learning
Junhong Zhong, Rongbo Xiao, Peng Wang, et al.
The Science of The Total Environment (2024) Vol. 935, pp. 173430-173430
Closed Access | Times Cited: 3

Machine learning modeling of thermally assisted biodrying process for municipal sludge
Kaiqiang Zhang, Ningfung Wang
Waste Management (2024) Vol. 188, pp. 95-106
Closed Access | Times Cited: 3

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