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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:

A three-step machine learning framework for energy profiling, activity state prediction and production estimation in smart process manufacturing
Daniel Tan, Manu Suvarna, Yee Shee Tan, et al.
Applied Energy (2021) Vol. 291, pp. 116808-116808
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Prediction of Soil Heavy Metal Immobilization by Biochar Using Machine Learning
Kumuduni Niroshika Palansooriya, Jie Li, Pavani Dulanja Dissanayake, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 7, pp. 4187-4198
Open Access | Times Cited: 290
Applied Machine Learning for Prediction of CO2 Adsorption on Biomass Waste-Derived Porous Carbons
Xiangzhou Yuan, Manu Suvarna, S.M. Low, et al.
Environmental Science & Technology (2021) Vol. 55, Iss. 17, pp. 11925-11936
Open Access | Times Cited: 239
A review of industrial big data for decision making in intelligent manufacturing
Chunquan Li, Yaqiong Chen, Yuling Shang
Engineering Science and Technology an International Journal (2021) Vol. 29, pp. 101021-101021
Open Access | Times Cited: 230
Machine learning predicting and engineering the yield, N content, and specific surface area of biochar derived from pyrolysis of biomass
Lijian Leng, Lihong Yang, Xinni Lei, et al.
Biochar (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 75
A hybrid data-driven and mechanistic modelling approach for hydrothermal gasification
Jie Li, Manu Suvarna, Lanjia Pan, et al.
Applied Energy (2021) Vol. 304, pp. 117674-117674
Open Access | Times Cited: 73
Real-time rainfall-runoff prediction using light gradient boosting machine coupled with singular spectrum analysis
Zhongjie Cui, Qing Xiaoxia, Hongxiang Chai, et al.
Journal of Hydrology (2021) Vol. 603, pp. 127124-127124
Closed Access | Times Cited: 67
Predicting biodiesel properties and its optimal fatty acid profile via explainable machine learning
Manu Suvarna, M.I. Jahirul, Wai Hung Aaron-Yeap, et al.
Renewable Energy (2022) Vol. 189, pp. 245-258
Closed Access | Times Cited: 44
Improve predictive maintenance through the application of artificial intelligence: A systematic review
Anthony D. Scaife
Results in Engineering (2023) Vol. 21, pp. 101645-101645
Open Access | Times Cited: 28
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: 14
Optimizing high-speed rotating shaft vibration control: Experimental investigation of squeeze film dampers and a comparative analysis using Artificial Neural Networks (ANN) and Response Surface Methodology (RSM)
R.K. Gupta, Ramesh Singh
Expert Systems with Applications (2024) Vol. 249, pp. 123800-123800
Closed Access | Times Cited: 11
An IIoT-driven and AI-enabled framework for smart manufacturing system based on three-terminal collaborative platform
Lingguo Bu, Yanjie Zhang, Heshan Liu, et al.
Advanced Engineering Informatics (2021) Vol. 50, pp. 101370-101370
Closed Access | Times Cited: 48
Identifying Descriptors for Promoted Rhodium-Based Catalysts for Higher Alcohol Synthesis via Machine Learning
Manu Suvarna, Phil Preikschas, Javier Pérez‐Ramírez
ACS Catalysis (2022) Vol. 12, Iss. 24, pp. 15373-15385
Open Access | Times Cited: 29
Prediction of melt pool shape in additive manufacturing based on machine learning methods
Xiaobo Zhu, Fengchun Jiang, Chunhuan Guo, et al.
Optics & Laser Technology (2022) Vol. 159, pp. 108964-108964
Closed Access | Times Cited: 29
Machine learning based prediction and experimental validation of arsenite and arsenate sorption on biochars
Wei Zhang, Waqar Muhammad Ashraf, Sachini Supunsala Senadheera, et al.
The Science of The Total Environment (2023) Vol. 904, pp. 166678-166678
Open Access | Times Cited: 21
Machine learning for predicting halogen radical reactivity toward aqueous organic chemicals
Youheng Liang, Xiaoliu Huangfu, Ruixing Huang, et al.
Journal of Hazardous Materials (2024) Vol. 472, pp. 134501-134501
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
Challenges and Opportunities in the Implementation of AI in Manufacturing: A Bibliometric Analysis
Lorena Espina-Romero, Humberto Gutiérrez Hurtado, Doile Enrique Ríos Parra, et al.
Sci (2024) Vol. 6, Iss. 4, pp. 60-60
Open Access | Times Cited: 6
Artificial intelligence based operational strategy development and implementation for vibration reduction of a supercritical steam turbine shaft bearing
Waqar Muhammad Ashraf, Yasir Rafique, Ghulam Moeen Uddin, et al.
Alexandria Engineering Journal (2021) Vol. 61, Iss. 3, pp. 1864-1880
Open Access | Times Cited: 34
Machine learning, experiments and molecular simulation demonstrate the adsorption mechanism of acetone on porous carbon at different pressures
Rongkui Su, Zishi Li, Xiancheng Ma, et al.
Separation and Purification Technology (2023) Vol. 323, pp. 124480-124480
Closed Access | Times Cited: 16
Artificial intelligence–built analysis framework for the manufacturing sector: performance optimization of wire electric discharge machining system
Kashif Ishfaq, Muhammad Sana, Waqar Muhammad Ashraf
The International Journal of Advanced Manufacturing Technology (2023) Vol. 128, Iss. 11-12, pp. 5025-5039
Open Access | Times Cited: 13
Sustainable manufacturing production process monitoring and economic benefit analysis based on IoT technology
Xiutian Li, Qianqian Deng, Haozhe Shi, et al.
The International Journal of Advanced Manufacturing Technology (2024)
Closed Access | Times Cited: 5
Machine learning modeling of water footprint in crop production distinguishing water supply and irrigation method scenarios
Zhibin Li, Wei Wang, Xiangxiang Ji, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130171-130171
Closed Access | Times Cited: 12
Artificial intelligence and machine learning models application in biodiesel optimization process and fuel properties prediction
Muhammad Arif, Adel I. Alalawy, Yuanzhang Zheng, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 73, pp. 104097-104097
Closed Access | Times Cited: 4
Machine learning-based prediction and optimization of plasma-catalytic dry reforming of methane in a dielectric barrier discharge reactor
Jiayin Li, Jing Xu, Evgeny V. Rebrov, et al.
Chemical Engineering Journal (2025), pp. 159897-159897
Closed Access
Machine Learning Algorithms for Prediction of Sb Adsorption by Iron-Based Materials And Exploration of Critical Factors
Guoqiang Zhou, Xiangang Hu, Weimin Wang, et al.
(2025)
Closed Access
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