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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:

Estimation of Unit Process Data for Life Cycle Assessment Using a Decision Tree-Based Approach
Bu Zhao, Chenyang Shuai, Ping Hou, et al.
Environmental Science & Technology (2021) Vol. 55, Iss. 12, pp. 8439-8446
Closed Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Review of explainable machine learning for anaerobic digestion
Rohit Gupta, Le Zhang, Jiayi Hou, et al.
Bioresource Technology (2022) Vol. 369, pp. 128468-128468
Open Access | Times Cited: 46
Integrated crop–livestock–bioenergy system brings co-benefits and trade-offs in mitigating the environmental impacts of Chinese agriculture
Jiahao Xing, Junnian Song, Chaoshuo Liu, et al.
Nature Food (2022) Vol. 3, Iss. 12, pp. 1052-1064
Closed Access | Times Cited: 36
Machine Learning Models for Inverse Design of the Electrochemical Oxidation Process for Water Purification
Ye Sun, Zhiyuan Zhao, Hailong Tong, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 17990-18000
Closed Access | Times Cited: 28
Prospective Life Cycle Assessment for the Electrochemical Oxidation Wastewater Treatment Process: From Laboratory to Industrial Scale
Ye Sun, Shunwen Bai, Xiuheng Wang, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 3, pp. 1456-1466
Closed Access | Times Cited: 27
Exploring sludge yield patterns through interpretable machine learning models in China's municipal wastewater treatment plants
Y. Hu, Renke Wei, Ke Yu, et al.
Resources Conservation and Recycling (2024) Vol. 204, pp. 107467-107467
Closed Access | Times Cited: 10
Building sustainability through a novel exploration of dynamic LCA uncertainty: Overview and state of the art
Haidar Hosamo, Guilherme B. A. Coelho, Elsa Buvik, et al.
Building and Environment (2024) Vol. 264, pp. 111922-111922
Open Access | Times Cited: 7
Carbon Footprint Drivers in China’s Municipal Wastewater Treatment Plants and Mitigation Opportunities through Electricity and Chemical Efficiency
Shen Qu, Y. Hu, Renke Wei, et al.
Engineering (2024)
Open Access | Times Cited: 6
Using physical method, machine learning and hybrid method to model soil water movement
Jinjun Zhou, Tianyi Huang, Hao Wang, et al.
Journal of Hydrology (2025), pp. 132639-132639
Closed Access
Development of a Life Cycle Inventory Database for Environmental Impact Assessment of Construction Materials in Burkina Faso
Iliassou Salou Nouhoun, Philbert Nshimiyimana, Césaire Hema, et al.
Sustainability (2025) Vol. 17, Iss. 2, pp. 471-471
Open Access
Interpretable machine learning method empowers dynamic life cycle impact assessment: A case study on the carcinogenic impact of coal power generation
Shuo Wang, Tianzuo Zhang, Ziheng Li, et al.
Environmental Impact Assessment Review (2025) Vol. 112, pp. 107837-107837
Closed Access
Evaluating the capability of municipal solid waste separation in China based on AHP-EWM and BP neural network
Hao Xi, Zhiheng Li, Jingyi Han, et al.
Waste Management (2021) Vol. 139, pp. 208-216
Closed Access | Times Cited: 41
Review in life cycle assessment of biomass conversion through pyrolysis-issues and recommendations
Zhaozhuo Yu, Haoxiang Ma, Xiangjun Liu, et al.
Green Chemical Engineering (2022) Vol. 3, Iss. 4, pp. 304-312
Closed Access | Times Cited: 32
A review of inventory modeling methods for missing data in life cycle assessment
Shiva Zargar, Yuan Yao, Qingshi Tu
Journal of Industrial Ecology (2022) Vol. 26, Iss. 5, pp. 1676-1689
Closed Access | Times Cited: 31
Imputing environmental impact missing data of the industrial sector for Chinese cities: A machine learning approach
Xi Chen, Chenyang Shuai, Bu Zhao, et al.
Environmental Impact Assessment Review (2023) Vol. 100, pp. 107050-107050
Closed Access | Times Cited: 19
Floating wind power in deep-sea area: Life cycle assessment of environmental impacts
Weiyu Yuan, Jing‐Chun Feng, Si Zhang, et al.
Advances in Applied Energy (2023) Vol. 9, pp. 100122-100122
Open Access | Times Cited: 16
Automation of Life Cycle Assessment—A Critical Review of Developments in the Field of Life Cycle Inventory Analysis
Bianca-Maria Köck, Anton Friedl, Sebastián Serna‐Loaiza, et al.
Sustainability (2023) Vol. 15, Iss. 6, pp. 5531-5531
Open Access | Times Cited: 16
Toward artificial intelligence and machine learning-enabled frameworks for improved predictions of lifecycle environmental impacts of functional materials and devices
Taofeeq Ibn‐Mohammed, K.B. Mustapha, M. Abdulkareem, et al.
MRS Communications (2023) Vol. 13, Iss. 5, pp. 795-811
Open Access | Times Cited: 15
Predicting Cd accumulation in crops and identifying nonlinear effects of multiple environmental factors based on machine learning models
Xiaosong Lu, Li Sun, Ya Zhang, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175787-175787
Closed Access | Times Cited: 4
Life Cycle Assessment of the Polyvinylidene Fluoride Polymer with Applications in Various Emerging Technologies
Xiaomeng Hu, Alicia Kyoungjin An, Shauhrat S. Chopra
ACS Sustainable Chemistry & Engineering (2022) Vol. 10, Iss. 18, pp. 5708-5718
Closed Access | Times Cited: 23
Mapping water scarcity risk in China with the consideration of spatially heterogeneous environmental flow requirement
Huang Wei, Chenyang Shuai, Pengcheng Xiang, et al.
Environmental Impact Assessment Review (2023) Vol. 105, pp. 107400-107400
Closed Access | Times Cited: 12
Assessing the determinants of scale effects on carbon efficiency in China's wastewater treatment plants using causal machine learning
Renke Wei, Yuchen Hu, Ke Yu, et al.
Resources Conservation and Recycling (2024) Vol. 203, pp. 107432-107432
Closed Access | Times Cited: 3
How false data affects machine learning models in electrochemistry?
Krittapong Deshsorn, Luckhana Lawtrakul, Pawin Iamprasertkun
Journal of Power Sources (2024) Vol. 597, pp. 234127-234127
Open Access | Times Cited: 3
Improved Machine Learning Models by Data Processing for Predicting Life-Cycle Environmental Impacts of Chemicals
Ye Sun, Xiuheng Wang, Nanqi Ren, et al.
Environmental Science & Technology (2022) Vol. 57, Iss. 8, pp. 3434-3444
Closed Access | Times Cited: 20
The future of artificial intelligence in the context of industrial ecology
Franco Donati, Sébastien M.R. Dente, Chen Li, et al.
Journal of Industrial Ecology (2022) Vol. 26, Iss. 4, pp. 1175-1181
Open Access | Times Cited: 15
Exploring pollutant joint effects in disease through interpretable machine learning
Shuo Wang, Tianzhuo Zhang, Ziheng Li, et al.
Journal of Hazardous Materials (2024) Vol. 467, pp. 133707-133707
Closed Access | Times Cited: 2
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