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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:

Prediction and optimization of exergetic efficiency of reactive units of a petroleum refinery under uncertainty through artificial neural network-based surrogate modeling
Abdul Samad, Iftikhar Ahmad, Manabu Kano, et al.
Process Safety and Environmental Protection (2023) Vol. 177, pp. 1403-1414
Closed Access | Times Cited: 15

Showing 15 citing articles:

Multi-swarm surrogate model assisted PSO algorithm to minimize distribution network energy losses
Goli Vamsi Priya, Sanjib Ganguly
Applied Soft Computing (2024) Vol. 159, pp. 111616-111616
Closed Access | Times Cited: 8
Explainable machine learning-based fractional vegetation cover inversion and performance optimization – A case study of an alpine grassland on the Qinghai-Tibet Plateau
Xinhong Li, Jianjun Chen, Zizhen Chen, et al.
Ecological Informatics (2024) Vol. 82, pp. 102768-102768
Open Access | Times Cited: 6
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 Case Study on Integrating an AI System into the Fuel Blending Process in a Chemical Refinery
Abdul Gani Abdul Jameel
ChemEngineering (2025) Vol. 9, Iss. 1, pp. 4-4
Open Access
A novel ensemble network based on CNN‐AM‐BiLSTM learner for temperature prediction of distillation columns
Jianji Ren, Linpeng Fu, Yanan Li, et al.
The Canadian Journal of Chemical Engineering (2025)
Closed Access
An Intelligent System for Predicting the Methanol Conversion Rate from the Direct Hydrogenation of CO2 under Uncertainty
Abdul Samad, Husnain Saghir, Abdul Musawwir, et al.
(2024) Vol. 166, pp. 3-3
Open Access | Times Cited: 3
Plant wide modelling and thermodynamic optimization of a petroleum refinery for improvement potentials
Adil Sana, Iftikhar Ahmad, Husnain Saghir, et al.
Process Safety and Environmental Protection (2024) Vol. 188, pp. 64-72
Closed Access | Times Cited: 2
Artificial intelligence assisted prediction of optimum operating conditions of shell and tube heat exchangers: A grey‐box approach
Zahid Ullah, Iftikhar Ahmad, Abdul Samad, et al.
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 2
Exergy Analysis of Methanol Production Plant from Hydrogenation of Carbon Dioxide
Muhammad Zulkefal, Asad Ayub, Hamza Sethi
(2024), pp. 15-15
Open Access | Times Cited: 1
Simultaneous process optimization and heat integration for ethylene-to-ethylene oxide process: A surrogate model-based approach
Yanan Wang, Yu Zhuang, Wenjin Zhou, et al.
Process Safety and Environmental Protection (2024) Vol. 208, pp. 279-289
Closed Access | Times Cited: 1
Prediction and optimization of emissions in cement manufacturing plant under uncertainty by using artificial intelligence-based surrogate modeling
Muhammad Usman, Iftikhar Ahmad, Muhammad Ahsan, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 1
Exergy Analysis of an Alkaline Water Electrolysis System
Hamza Sethi, Muhammad Zulkefal, Asad Ayub
(2024), pp. 13-13
Open Access
Machine Learning-assisted Prediction and Optimization of Exergy Efficiency and Destruction of Cumene Plant under Uncertainty
Farooq Ahmad, Naveed Ahmad, Abdul Aal Zuhayr Al-Khazaal
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 1, pp. 12892-12899
Open Access
A novel optimization method via Box-Behnken Design integrated with back propagation neural network - genetic algorithm on hydrogen purification
Nannan Zhang, Sumeng Hu
Research Square (Research Square) (2024)
Closed Access
A Novel Optimization Method via Box-Behnken Design Integrated with Back Propagation Neural Network – Genetic Algorithm on Hydrogen Purification
Nannan Zhang, Sumeng Hu, Qianqian Xin
(2024)
Open Access
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