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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:

Multiobjective Bayesian Optimization Framework for the Synthesis of Methanol from Syngas Using Interpretable Gaussian Process Models
Avan Kumar, Kamal K. Pant, Sreedevi Upadhyayula, et al.
ACS Omega (2022) Vol. 8, Iss. 1, pp. 410-421
Open Access | Times Cited: 24

Showing 24 citing articles:

From Characterization to Discovery: Artificial Intelligence, Machine Learning and High-Throughput Experiments for Heterogeneous Catalyst Design
Jorge Benavides-Hernández, Franck Dumeignil
ACS Catalysis (2024) Vol. 14, Iss. 15, pp. 11749-11779
Closed Access | Times Cited: 16
Machine learning applications in catalytic hydrogenation of carbon dioxide to methanol: A comprehensive review
Ermias Girma Aklilu, Tijani Bounahmidi
International Journal of Hydrogen Energy (2024) Vol. 61, pp. 578-602
Closed Access | Times Cited: 13
Recycle-BERT: Extracting Knowledge about Plastic Waste Recycling by Natural Language Processing
Avan Kumar, Bhavik R. Bakshi, Manojkumar Ramteke, et al.
ACS Sustainable Chemistry & Engineering (2023) Vol. 11, Iss. 32, pp. 12123-12134
Closed Access | Times Cited: 16
A data-driven multi-objective optimization approach for enhanced methanol yield and exergy loss minimization in direct hydrogenation of CO2
Abdul Samad, Husnain Saghir, Abdul Musawwir, et al.
Applied Thermal Engineering (2024) Vol. 251, pp. 123517-123517
Closed Access | Times Cited: 5
A deep learning-aided multi-objective optimization of a downstream process for production of monoclonal antibody products
Md Nasre Alam, Anupa Anupa, Hariprasad Kodamana, et al.
Biochemical Engineering Journal (2024) Vol. 208, pp. 109357-109357
Closed Access | Times Cited: 4
Obtaining high H2-rich syngas yield and carbon conversion efficiency from biomass gasification: From characterization to process optimization using machine learning with experimental validation
Kaushik Kundu, Avan Kumar, Hariprasad Kodamana, et al.
Fuel (2024) Vol. 378, pp. 132931-132931
Closed Access | Times Cited: 4
Fault detection and isolation of multi-variate time series data using spectral weighted graph auto-encoders
Umang Goswami, Jyoti Rani, Hariprasad Kodamana, et al.
Journal of the Franklin Institute (2023) Vol. 360, Iss. 10, pp. 6783-6803
Closed Access | Times Cited: 10
Freeze-thaw durability estimation for concrete through the Gaussian process regression with kernel convolution
Byeong-Hun Woo, Jae-Suk Ryou, Joo Young Kim, et al.
Construction and Building Materials (2023) Vol. 400, pp. 132825-132825
Closed Access | Times Cited: 9
Bayesian optimization of radical polymerization reactions in a flow synthesis system
Shogo Takasuka, Shô Itô, Shunto Oikawa, et al.
(2024)
Open Access | Times Cited: 2
Machine learning models for predicting the compressive strength of agro-waste stabilized bricks for sustainable buildings
Ifeyinwa Ijeoma Obianyo, Jonathan Timothy Auta, David Sciacca, et al.
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 2
A Convolutional Neural Network-based gradient boosting framework for prediction of the band gap of photo-active catalysts
Avan Kumar, Sreedevi Upadhyayula, Hariprasad Kodamana
Digital Chemical Engineering (2023) Vol. 8, pp. 100109-100109
Open Access | Times Cited: 6
Bayesian Optimization in Drug Discovery
Lionel Colliandre, Christophe Müller
Methods in molecular biology (2023), pp. 101-136
Closed Access | Times Cited: 6
An NLP-based framework for extracting the catalysts involved in Hydrogen production from scientific literature
Avan Kumar, Hariprasad Kodamana
Computer-aided chemical engineering/Computer aided chemical engineering (2023), pp. 1457-1462
Closed Access | Times Cited: 5
Balancing computational chemistry's potential with its environmental impact
Oliver Schilter, Philippe Schwaller, Teodoro Laino
Green Chemistry (2024) Vol. 26, Iss. 15, pp. 8669-8679
Open Access | Times Cited: 1
Biogas Production Enhancement from a Cold Region Municipal Wastewater Anaerobic Digestion
Mohsen Asadi, Rahman Zeynali, Jafar Soltan, et al.
Lecture notes in civil engineering (2024), pp. 27-38
Closed Access | Times Cited: 1
MOF-Derived CuO/TiO2 Photocatalyst for Methanol Production from CO2 Reduction in an AI-Assisted Continuous Flow Reactor
Bhavya Jaksani, Ruchi Chauhan, Switi Dattatraya Kshirsagar, et al.
Chemical Communications (2024)
Closed Access | Times Cited: 1
Bayesian optimization of HDPE copolymerization process based on polymer product-process integration
Anran Wang, Haotian Ye, Yang Yang, et al.
Polymer (2023) Vol. 292, pp. 126554-126554
Closed Access | Times Cited: 2
Optimization of Polypropylene Copolymerization Process in Loop Reactors Based on Product-Process Integration
Anran Wang, Hongguang Dong, Haotian Ye, et al.
(2024)
Closed Access
Optimization of Polypropylene Copolymerization Process in Loop Reactors Based on Product-Process Integration
Anran Wang, Hongguang Dong, Haotian Ye, et al.
(2024)
Closed Access
A Model for Predicting IoT User Behavior Based on Bayesian Learning and Neural Networks
Xin Xu, Chengning Huang, Yuquan Zhu
Journal of Computer Networks and Communications (2024) Vol. 2024, Iss. 1
Open Access
Physics‐informed neural networks guided modelling and multiobjective optimization of a mAb production process
Md Nasre Alam, Anurag Anurag, Neelesh Gangwar, et al.
The Canadian Journal of Chemical Engineering (2024)
Closed Access
Process Modeling and Optimal Evaluation Analysis for Direct CO2 Conversion to Methanol
Avan Kumar, Hariprasad Kodamana
Elsevier eBooks (2024)
Closed Access
Bayesian optimization of radical polymerization reactions in a flow synthesis system
Shogo Takasuka, Shô Itô, Shunto Oikawa, et al.
Science and Technology of Advanced Materials Methods (2024) Vol. 4, Iss. 1
Open Access
Machine learning-driven optimization for sustainable CO2-to-methanol conversion through catalytic hydrogenation
Seyyed Alireza Ghafarian Nia, Hossein Shahbeik, Alireza Shafizadeh, et al.
Energy Conversion and Management (2024) Vol. 325, pp. 119373-119373
Closed Access
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