Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Synergetic effect of N/O functional groups and microstructures of activated carbon on supercapacitor performance by machine learning
Mohammad Rahimi, Mohammad Hossein Abbaspour‐Fard, Abbas Rohani
Journal of Power Sources (2022) Vol. 521, pp. 230968-230968
Closed Access | Times Cited: 68

Showing 26-50 of 68 citing articles:

Study of dye reactivity on Moroccan Argan shell biochar: preparation, characterization and DFT calculations
Abdessamad Ouedrhiri, Achraf Abdou, Youssef Lghazi, et al.
Journal of Umm Al-Qura University for Applied Sciences (2025)
Open Access
Modeling and Optimizing N/O-Enriched Bio-Derived Adsorbents for CO2 Capture: Machine Learning and DFT Calculation Approaches
Mohammad Rahimi, Mohammad Hossein Abbaspour‐Fard, Abbas Rohani, et al.
Industrial & Engineering Chemistry Research (2022) Vol. 61, Iss. 30, pp. 10670-10688
Closed Access | Times Cited: 25
In-situ activator-induced evolution of morphology on carbon materials for supercapacitors
Juan Du, Miao Li, Junzhen Song, et al.
Journal of Colloid and Interface Science (2022) Vol. 630, pp. 61-69
Closed Access | Times Cited: 23
Effect of distinct organic ligands on hierarchical porous manganese-based MOFs for battery-supercapacitor hybrid
Muhammad Zahir Iqbal, Umer Aziz, Salma Siddique, et al.
Materials Science in Semiconductor Processing (2023) Vol. 162, pp. 107511-107511
Closed Access | Times Cited: 13
Fabrication of Asymmetric Supercapacitors (AC@GQDs//AC) with High Electrochemical Performance Utilizing Activated Carbon and Graphene Quantum Dots
Huda Salem AlSalem, Khadijah Mohammedsaleh Katubi, Mona Saad Binkadem, et al.
ACS Omega (2023) Vol. 8, Iss. 43, pp. 40808-40816
Open Access | Times Cited: 13
Unlocking the Full Potential of Heteroatom-Doped Graphene-Based Supercapacitors through Stacking Models and SHAP-Guided Optimization
Krittapong Deshsorn, Krittamate Payakkachon, Tanapat Chaisrithong, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 16, pp. 5077-5088
Closed Access | Times Cited: 12
Modeling Specific Capacitance of Carbon Nanotube-Based Supercapacitor Electrodes by Machine Learning Algorithms
Wael Z. Tawfik, Mohamed Sh. Abdel-wahab, June Key Lee, et al.
Physica Scripta (2024) Vol. 99, Iss. 6, pp. 066011-066011
Closed Access | Times Cited: 4
Deep learning prediction and experimental investigation of specific capacitance of nitrogen-doped porous biochar
Xiaorui Liu, Haiping Yang, Tang Yuanjun, et al.
Bioresource Technology (2024) Vol. 403, pp. 130865-130865
Closed Access | Times Cited: 4
Advancement of capacitive deionization propelled by machine learning approach
Hao Wang, Yuquan Li, Yong Liu, et al.
Separation and Purification Technology (2024) Vol. 354, pp. 129423-129423
Closed Access | Times Cited: 4
Exploring the soluble (pro)renin receptor (sPRR) as a biomarker in pathophysiological disorders: Integrating machine learning and meta-analysis for insights into gestational diabetes
Amir Hossein Aalami, Mohammad Rahimi, Amirhossein Sahebkar
Expert Systems with Applications (2025), pp. 126998-126998
Closed Access
Machine Learning-Assisted Electrode Material Fabrication and Electrochemical Efficiency Prediction and Validation of PANI-Ni/Co Hydroxide Nanocomposites
Arpit B. Mendhe, Himanshu Sekhar Panda
ACS Sustainable Chemistry & Engineering (2023) Vol. 11, Iss. 49, pp. 17262-17271
Closed Access | Times Cited: 12
Machine learning aided cyclic stability prediction for supercapacitors
Siddhartha Nanda, Sourav Ghosh, Tiju Thomas
Journal of Power Sources (2022) Vol. 546, pp. 231975-231975
Closed Access | Times Cited: 18
A coactive performance of Ag2WO4 nanorods wreathed on the N-doped carbon nanofibers as electrode for electrochemical supercapacitors
Himadri Tanaya Das, Nigamananda Das
Journal of Alloys and Compounds (2023) Vol. 944, pp. 169243-169243
Closed Access | Times Cited: 10
Carbon dots as a sustainable electrolyte enhancer in aqueous alkaline electrochemical capacitors
Gayathry Ganesh, Vaishak Sunil, JinKiong Ling, et al.
Journal of Energy Storage (2024) Vol. 94, pp. 112465-112465
Closed Access | Times Cited: 3
Machine learning models for capacitance prediction of porous carbon-based supercapacitor electrodes
Wael Z. Tawfik, Samar N. Mohammad, Kamel H. Rahouma, et al.
Physica Scripta (2023) Vol. 99, Iss. 2, pp. 026001-026001
Closed Access | Times Cited: 7
Active nanomaterials for Li-ion batteries and advanced nanomaterials for supercapacitors
Maryam Ghiyasiyan-Arani
Elsevier eBooks (2024), pp. 125-153
Closed Access | Times Cited: 2
Simultaneous fault diagnosis of proton exchange membrane fuel cell systems based on an Incremental Multi-label Classification Network
Yanda Lu, Zhou Su, Yin Ding, et al.
International Journal of Hydrogen Energy (2022) Vol. 47, Iss. 59, pp. 24963-24977
Closed Access | Times Cited: 11
Machine learning enabled property prediction of carbon-based electrodes for supercapacitors
Rajat Kushwaha, Mayank K. Singh, Sarathkumar Krishnan, et al.
Journal of Materials Science (2023) Vol. 58, Iss. 39, pp. 15448-15458
Closed Access | Times Cited: 6
From hydroxyl group to carbonyl group: Tuning the supercapacitive performance of holey graphene
Maodan Xu, Xixin Wang, Ziqing Li, et al.
Electrochimica Acta (2023) Vol. 473, pp. 143491-143491
Closed Access | Times Cited: 5
Metal oxide-based LEDs and lasers
Harjot Kaur, Samarjeet Singh Siwal
Elsevier eBooks (2024), pp. 253-276
Closed Access | Times Cited: 1
Machine learning and data-driven material exploration for supercapacitors
Sijie Wang, Kai Huang, Cheng Lian, et al.
Elsevier eBooks (2024), pp. 353-370
Closed Access | Times Cited: 1
Surface Engineering Of Porous Carbons for Next-Generation Supercapacitors
Yiyan Zhu, Huyan Shen, Imran Zada, et al.
(2024)
Closed Access | Times Cited: 1
Surface engineering of porous carbons for next-generation supercapacitors
Yiyan Zhu, Huyan Shen, Imran Zada, et al.
Journal of Energy Storage (2024) Vol. 100, pp. 113608-113608
Closed Access | Times Cited: 1
Machine learning-assisted prediction, screen, and interpretation of porous carbon materials for high-performance supercapacitors
Hongwei Liu, Zhenming Cui, Zhennan Qiao, et al.
Journal of Materials Informatics (2024) Vol. 4, Iss. 4
Open Access | Times Cited: 1
Optimizing Methane Uptake on N/O Functionalized Graphene via DFT, Machine Learning, and Uniform Manifold Approximation and Projection (UMAP) Techniques
Mohammad Rahimi, Amir Mehrpanah, Parastoo Mouchani, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 44, pp. 18940-18956
Closed Access | Times Cited: 1

Scroll to top