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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:

Landfill area estimation based on integrated waste disposal options and solid waste forecasting using modified ANFIS model
Mohammad K. Younes, Zulkifli Mohd Nopiah, Noor Ezlin Ahmad Basri, et al.
Waste Management (2015) Vol. 55, pp. 3-11
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Application of machine learning methods for the prediction of organic solid waste treatment and recycling processes: A review
Haonan Guo, Shubiao Wu, Yingjie Tian, et al.
Bioresource Technology (2020) Vol. 319, pp. 124114-124114
Closed Access | Times Cited: 272
Application of machine learning algorithms in municipal solid waste management: A mini review
Wanjun Xia, Yan‐Ping Jiang, Xiaohong Chen, et al.
Waste Management & Research The Journal for a Sustainable Circular Economy (2021) Vol. 40, Iss. 6, pp. 609-624
Open Access | Times Cited: 132
Time-lagged effects of weekly climatic and socio-economic factors on ANN municipal yard waste prediction models
Lan Vu, Kelvin Tsun Wai Ng, Damien Bolingbroke
Waste Management (2018) Vol. 84, pp. 129-140
Closed Access | Times Cited: 94
Landfill area estimation based on solid waste collection prediction using ANN model and final waste disposal options
Md. Maruful Hoque, M. Tauhid Ur Rahman
Journal of Cleaner Production (2020) Vol. 256, pp. 120387-120387
Closed Access | Times Cited: 93
Estimating Physical Composition of Municipal Solid Waste in China by Applying Artificial Neural Network Method
Shijun Ma, Chuanbin Zhou, Ce Chi, et al.
Environmental Science & Technology (2020) Vol. 54, Iss. 15, pp. 9609-9617
Closed Access | Times Cited: 86
Data Science Applications in Circular Economy: Trends, Status, and Future
Bu Zhao, Zongqi Yu, Hongze Wang, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 15, pp. 6457-6474
Closed Access | Times Cited: 11
Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill
Taher Abunama, Faridah Othman, Mozafar Ansari, et al.
Environmental Science and Pollution Research (2018) Vol. 26, Iss. 4, pp. 3368-3381
Closed Access | Times Cited: 77
Prognostication of waste water treatment plant performance using efficient soft computing models: An environmental evaluation
Mohammad Najafzadeh, Maryam Zeinolabedini
Measurement (2019) Vol. 138, pp. 690-701
Closed Access | Times Cited: 67
Artificial neural networks for sustainable development: a critical review
Ivan Henderson V. Gue, Aristotle T. Ubando, Ming‐Lang Tseng, et al.
Clean Technologies and Environmental Policy (2020) Vol. 22, Iss. 7, pp. 1449-1465
Closed Access | Times Cited: 58
Quantification of landfill gas emissions and energy production potential in Tirupati Municipal solid waste disposal site by LandGEM mathematical model
C. Ramprasad, Hari Charan Teja, Vunnam Gowtham, et al.
MethodsX (2022) Vol. 9, pp. 101869-101869
Open Access | Times Cited: 35
Yard waste prediction from estimated municipal solid waste using the grey theory to achieve a zero-waste strategy
Md. Rakibul Islam, Golam Kabir, Kelvin Tsun Wai Ng, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 31, pp. 46859-46874
Open Access | Times Cited: 21
Application of artificial intelligence techniques in municipal solid waste management: a systematic literature review
Adnane Mounadel, Hamid Ech-Cheikh, Saâd Lissane Elhaq, et al.
Environmental Technology Reviews (2023) Vol. 12, Iss. 1, pp. 316-336
Closed Access | Times Cited: 10
Predicting sanitary landfill leachate generation in humid regions using ANFIS modeling
Taher Abunama, Faridah Othman, Mohammad K. Younes
Environmental Monitoring and Assessment (2018) Vol. 190, Iss. 10
Closed Access | Times Cited: 36
Economic potential comparative of reusing different industrial solid wastes in cementitious composites: a case study in Brazil
Afonso Rangel Garcez de Azevedo, Alan Marinho Costa, Daiane Cecchin, et al.
Environment Development and Sustainability (2021) Vol. 24, Iss. 4, pp. 5938-5961
Closed Access | Times Cited: 24
Modeling of municipal waste disposal behaviors related to meteorological seasons using recurrent neural network LSTM models
Kenneth K. Adusei, Kelvin Tsun Wai Ng, Nima Karimi, et al.
Ecological Informatics (2022) Vol. 72, pp. 101925-101925
Closed Access | Times Cited: 18
A European household waste management approach: Intelligently clean Ukraine
Fragkoulis Papagiannis, Patrizia Gazzola, Olena Burak, et al.
Journal of Environmental Management (2021) Vol. 294, pp. 113015-113015
Open Access | Times Cited: 19
Internet of things and machine learning‐based approaches in the urban solid waste management: Trends, challenges, and future directions
Lalit Mohan Joshi, Rajendra Kumar Bharti, Rajesh Singh
Expert Systems (2021) Vol. 39, Iss. 5
Closed Access | Times Cited: 19
A review on optimization methods for workforce planning in electrical distribution utilities
Bruno Borba, Márcio Zamboti Fortes, Leonardo Bitencourt, et al.
Computers & Industrial Engineering (2019) Vol. 135, pp. 286-298
Closed Access | Times Cited: 21
Role of phosphogypsum and NPK amendments on the retention or leaching of metals in different soils
Rawaa Ammar, Hussein Kanbar, Véronique Kazpard, et al.
Journal of Environmental Management (2016) Vol. 178, pp. 20-29
Closed Access | Times Cited: 20
Conceptualization of Bioreactor Landfill Approach for Sustainable Waste Management in Karachi, Pakistan
Ihsanullah Sohoo, Marco Ritzkowski, Muhammad Sultan, et al.
Sustainability (2022) Vol. 14, Iss. 6, pp. 3364-3364
Open Access | Times Cited: 11
Evaluation and forecasting of solar radiation using time series adaptive neuro‐fuzzy inference system: Seoul city as a case study
Mohammed H. Alsharif, Mohammad K. Younes
IET Renewable Power Generation (2019) Vol. 13, Iss. 10, pp. 1711-1723
Closed Access | Times Cited: 15
Prediction of e-waste generation: Application of modified adaptive neuro-fuzzy inference system (MANFIS)
Afshin Khoshand, Ayeh Karami, Ghodsiyeh Rostami, et al.
Waste Management & Research The Journal for a Sustainable Circular Economy (2022) Vol. 41, Iss. 2, pp. 389-400
Closed Access | Times Cited: 8
Analytical Modelling of MSW Landfill Surface Displacement Based on GNSS Monitoring
Dana Adamcová, Stanislav Bartoň, P Osiński, et al.
Sensors (2020) Vol. 20, Iss. 21, pp. 5998-5998
Open Access | Times Cited: 10
Assessment of Municipal Solid Waste Management in the Farmgate Area of Dhaka North City Corporation
Seyedali Mirmotalebi, Shoeb Rahman, Mayida Rubya Tithi, et al.
World Journal of Engineering and Technology (2023) Vol. 12, Iss. 01, pp. 1-23
Open Access | Times Cited: 3
Youth and forecasting of sustainable development pillars: An adaptive neuro-fuzzy inference system approach
Jasna Petković, Nataša Petrović, Ivana Dragović, et al.
PLoS ONE (2019) Vol. 14, Iss. 6, pp. e0218855-e0218855
Open Access | Times Cited: 9
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