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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:

Machine Learning Approach to Delineate the Impact of Material Properties on Solar Cell Device Physics
Md. Shafiqul Islam, Md Tohidul Islam, Saugata Sarker, et al.
ACS Omega (2022) Vol. 7, Iss. 26, pp. 22263-22278
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Machine Learning for Perovskite Solar Cells and Component Materials: Key Technologies and Prospects
Yiming Liu, Xinyu Tan, Jie Liang, et al.
Advanced Functional Materials (2023) Vol. 33, Iss. 17
Closed Access | Times Cited: 79
A comprehensive study of the optimization and comparison of cesium halide perovskite solar cells using ZnO and Cu2FeSnS4 as charge transport layers
M. Khalid Hossain, Gazi Farhan Ishraque Toki, Jaya Madan, et al.
New Journal of Chemistry (2023) Vol. 47, Iss. 18, pp. 8602-8624
Closed Access | Times Cited: 69
Emerging BaZrS3 and Ba(Zr,Ti)S3 Chalcogenide Perovskite Solar Cells: A Numerical Approach Toward Device Engineering and Unlocking Efficiency
Eupsy Navis Vincent Mercy, Dhineshkumar Srinivasan, Latha Marasamy
ACS Omega (2024) Vol. 9, Iss. 4, pp. 4359-4376
Open Access | Times Cited: 34
Design and simulation of a highly efficient CuBi2O4 thin-film solar cell with hole transport layer
Adnan Hosen, Sumaiya Yeasmin, K.M. Sayem Bin Rahmotullah, et al.
Optics & Laser Technology (2023) Vol. 169, pp. 110073-110073
Closed Access | Times Cited: 25
Meticulous research for design of plasmonics sensors for cancer detection and food contaminants analysis via machine learning and artificial intelligence
Fatemeh Jafrasteh, Ali Farmani, J Mohamadi
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 24
Investigating the Performance of FASnI3‐Based Perovskite Solar Cells with Various Electron and Hole Transport Layers: Machine Learning Approach and SCAPS‐1D Analysis
Tanvir Mahtab Khan, Sheikh Rashel Al Ahmed
Advanced Theory and Simulations (2024)
Closed Access | Times Cited: 6
Machine-learning-guided prediction of photovoltaic performance of non-fullerene organic solar cells using novel molecular and structural descriptors
Rakesh Suthar, T. Abhijith, Supravat Karak
Journal of Materials Chemistry A (2023) Vol. 11, Iss. 41, pp. 22248-22258
Closed Access | Times Cited: 14
Mixed cations tin-germanium perovskite: A promising approach for enhanced solar cell applications
Mohd Saiful Adli Azizman, Azhari Ayu Wazira, Naimah Ibrahim, et al.
Heliyon (2024) Vol. 10, Iss. 8, pp. e29676-e29676
Open Access | Times Cited: 5
Strategies and Mechanisms To Minimize Energy Loss in Non-Fullerene Bulk Heterojunction Organic Solar Cells: Experimental and Computational Approaches
Hemraj Dahiya, Rakesh Suthar, Supravat Karak, et al.
Energy & Fuels (2025)
Closed Access
Applications of machine learning in surfaces and interfaces
Shaofeng Xu, Jing‐Yuan Wu, Ying Guo, et al.
Chemical Physics Reviews (2025) Vol. 6, Iss. 1
Open Access
Machine Learning‐Based Optimization and Performance Enhancement of CH3NH3SnBr3 Perovskite Solar Cells with Different Charge Transport Materials Using SCAPS‐1D and wxAMPS
Asadul Islam Shimul, Mahfuz Alam Khan, Abu Rayhan, et al.
Advanced Theory and Simulations (2025)
Closed Access
Development of an efficient double absorber CIGSSe/perovskite solar cell with the combination of experimental data of Mg-doped CeO2 buffer layer
Raushan Kumar, Akhilesh Kumar
Optical Materials (2023) Vol. 139, pp. 113731-113731
Closed Access | Times Cited: 8
Effect of bromide incorporation on the electronic & photovoltaic properties of Sn-based perovskite devices: A multiscale investigation utilizing first principles approach and numerical simulation, aided by machine learning models
Abrar Rauf, Saugata Sarker, Md. Shafiqul Islam, et al.
Solar Energy (2023) Vol. 253, pp. 375-388
Closed Access | Times Cited: 7
Utilizing machine learning to enhance performance of thin-film solar cells based on Sb2(SxSe1−x)3: investigating the influence of material properties
Tanvir Mahtab Khan, Okba Saidani, Sheikh Rashel Al Ahmed
RSC Advances (2024) Vol. 14, Iss. 38, pp. 27749-27763
Open Access | Times Cited: 2
A Comprehensive Review of Machine Learning Applications in Perovskite Solar Cells: Materials Discovery, Device Performance, Process Optimization and Systems Integration
Ling Mao, Changying Xiang
Materials Today Energy (2024) Vol. 47, pp. 101742-101742
Closed Access | Times Cited: 2
Machine Learning-Driven Exploration of Cesium-Based All-Inorganic Mixed-Halide Perovskite Solar Cells with a Double Absorber Layer Architecture
Navdeep Kaur, Rahul Pandey, Jaya Madan
Journal of Electronic Materials (2024) Vol. 53, Iss. 9, pp. 5361-5373
Closed Access | Times Cited: 1
Data-driven design for enhanced efficiency of Sn-based perovskite solar cells using machine learning
Abdul Hamid Rumman, Miah Abdullah Sahriar, Md Tohidul Islam, et al.
APL Machine Learning (2023) Vol. 1, Iss. 4
Open Access | Times Cited: 4
Performance Analysis and Optimization of Snse Thin-Film Solar Cell with Cu2o Htl Through a Combination of Scaps-1d and Machine Learning Approaches
Tanvir Mahtab Khan, Benjer Islam, Sheikh Rashel Al Ahmed
(2024)
Closed Access | Times Cited: 1
Machine learning-assisted SCAPS device simulation for photovoltaic parameters prediction of CsSnI3 perovskite solar cells
I. Chabri, Mithilesh Said, Ed. El-Allaly, et al.
Materials Today Communications (2024), pp. 110585-110585
Closed Access | Times Cited: 1
Predictive design and performance analysis of lead-free CH3NH3SnI3-based perovskite solar cells through a combination of SCAPS-1D and machine learning based modelling
Tanvir Mahtab Khan, Benjer Islam, Md. Motiur Rahaman, et al.
Solar Energy Materials and Solar Cells (2024) Vol. 282, pp. 113388-113388
Closed Access | Times Cited: 1
Machine Learning-Assisted Defect Analysis and Optimization for P-I-N-Structured Perovskite Solar Cells
Seongtak Kim, Younghun Jeong, Dongwoon Han, et al.
Journal of Electronic Materials (2023) Vol. 52, Iss. 9, pp. 5861-5871
Closed Access | Times Cited: 3
AI-driven Perovskite solar cells optimization
Muhammad Faizan, Sumbel Ijaz, Muhammad Qasim Mehmood, et al.
(2024) Vol. 12763, pp. 27-27
Closed Access
Numerical optimization and efficiency analysis of Sn-based perovskite-on-silicon tandem solar cells with various TCO materials using SCAPS-1D simulation
Rayan Md. Moinuddin, Mahmudul Hasan, Mostafizur Rahaman, et al.
AIP Advances (2024) Vol. 14, Iss. 8
Open Access
Predicting PbS Colloidal Quantum Dot Solar Cell Parameters Using Neural Networks Trained on Experimental Data
Hoon Jeong Lee, Arlene Chiu, Yida Lin, et al.
Advanced Intelligent Systems (2024)
Open Access
Performance analysis and optimization of SnSe thin-film solar cell with Cu2O HTL through a combination of SCAPS-1D and machine learning approaches
Tanvir Mahtab Khan, Benjer Islam, Sheikh Rashel Al Ahmed
Materials Today Communications (2024), pp. 110490-110490
Closed Access
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