Institution · Obuda University
Most cited papers from Obuda University
What are the most cited papers from Obuda University?
The most cited paper from Obuda University is "The renewable energy role in the global energy Transformations" (Qusay Hassan, Patrik Viktor, Tariq Jwad Al-Musawi et al., 2024), with 1,661 citations. Next come "Progressing nanotechnology to improve targeted cancer treatment: overcoming hurdles in its clinical implementation" (1,059) and "Deep learning modelling techniques: current progress, applications, advantages, and challenges" (1,057).
Showing 50 of 60 papers. Every paper with more than 154 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | The renewable energy role in the global energy Transformations Qusay Hassan, Patrik Viktor, Tariq Jwad Al-Musawi et al. · Renewable energy focus | 26 Jan 2024 | 1,661 |
| 2 | Progressing nanotechnology to improve targeted cancer treatment: overcoming hurdles in its clinical implementation Mohammad Chehelgerdi, Matin Chehelgerdi, Matin Chehelgerdi et al. · Molecular Cancer | 9 Oct 2023 | 1,059 |
| 3 | Deep learning modelling techniques: current progress, applications, advantages, and challenges Shams Forruque Ahmed, Md. Sakib Bin Alam, Maruf Hassan et al. · Artificial Intelligence Review | 17 Apr 2023 | 1,057 |
| 4 | An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines Bahram Choubin, Ehsan Moradi, Mohammad Golshan et al. · The Science of The Total Environment | 5 Oct 2018 | 798 |
| 5 | Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm Mohammad Hussein Amiri, Nastaran Mehrabi Hashjin, Mohsen Montazeri et al. · Scientific Reports | 29 Feb 2024 | 692 |
| 6 | Crayfish optimization algorithm Heming Jia, Honghua Rao, Changsheng Wen et al. · Artificial Intelligence Review | 2 Sep 2023 | 633 |
| 7 | Greylag Goose Optimization: Nature-inspired optimization algorithm El‐Sayed M. El‐kenawy, Nima Khodadadi, Seyedali Mirjalili et al. · Expert Systems with Applications | 18 Oct 2023 | 581 |
| 8 | State of the Art of Machine Learning Models in Energy Systems, a Systematic Review Amir Mosavi, Mohsen Salimi, Sina Ardabili et al. · Energies | 4 Apr 2019 | 571 |
| 9 | Mountain Gazelle Optimizer: A new Nature-inspired Metaheuristic Algorithm for Global Optimization Problems Benyamın Abdollahzadeh, Farhad Soleimanian Gharehchopogh, Nima Khodadadi et al. · Advances in Engineering Software | 29 Oct 2022 | 481 |
| 10 | Puma optimizer (PO): a novel metaheuristic optimization algorithm and its application in machine learning Benyamın Abdollahzadeh, Nima Khodadadi, Saeid Barshandeh et al. · Cluster Computing | 19 Jan 2024 | 477 |
| 11 | Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis Mojtaba Nabipour, Pooyan Nayyeri, Hamed Jabani et al. · IEEE Access | 2020 | 465 |
| 12 | Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information Linda See, Peter J. F. MOONEY, Giles M. Foody et al. · ISPRS International Journal of Geo-Information | 27 Apr 2016 | 437 |
| 13 | Sustainable Business Models: A Review Saeed Nosratabadi, Amir Mosavi, Shahaboddin Shamshirband et al. · Sustainability | 19 Mar 2019 | 424 |
| 14 | Accurate brain tumor detection using deep convolutional neural network Md. Saikat Islam Khan, Anichur Rahman, Tanoy Debnath et al. · Computational and Structural Biotechnology Journal | 2022 | 402 |
| 15 | A Systematic Review of the Whale Optimization Algorithm: Theoretical Foundation, Improvements, and Hybridizations Mohammad H. Nadimi-Shahraki, Hoda Zamani, Zahra Asghari Varzaneh et al. · Archives of Computational Methods in Engineering | 27 May 2023 | 378 |
| 16 | A Survey on Large Language Models: Applications, Challenges, Limitations, and Practical Usage Muhammad Usman Hadi, qasem al tashi, Rizwan Qureshi et al. | 10 Jul 2023 | 376 |
| 17 | COVID-19 Outbreak Prediction with Machine Learning Sina Ardabili, Amir Mosavi, Pedram Ghamisi et al. · Algorithms | Oct 2020 | 365 |
| 18 | Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method Farzaneh Sajedi Hosseini, Bahram Choubin, Amir Mosavi et al. · The Science of The Total Environment | 21 Nov 2019 | 353 |
| 19 | Starfish optimization algorithm (SFOA): a bio-inspired metaheuristic algorithm for global optimization compared with 100 optimizers Changting Zhong, Gang Li, Zeng Meng et al. · Neural Computing and Applications | 16 Dec 2024 | 322 |
| 20 | Evaluating urban flood risk using hybrid method of TOPSIS and machine learning Elham Rafiei-Sardooi, Ali Azareh, Bahram Choubin et al. · International Journal of Disaster Risk Reduction | Oct 2021 | 300 |
| 21 | Predicting Standardized Streamflow index for hydrological drought using machine learning models Shahabbodin Shamshirband, Sajjad Hashemi, Hana Salimi et al. · Engineering Applications of Computational Fluid Mechanics | 2020 | 298 |
| 22 | Rituximab versus intravenous cyclophosphamide in patients with connective tissue disease-associated interstitial lung disease in the UK (RECITAL): a double-blind, double-dummy, randomised, controlled, phase 2b trial Toby M. Maher et al. · The Lancet Respiratory Medicine | 11 Nov 2022 | 290 |
| 23 | MEALPY: An open-source library for latest meta-heuristic algorithms in Python Nguyen Van Thieu, Seyedali Mirjalili · Journal of Systems Architecture | 5 Apr 2023 | 282 |
| 24 | Integrated machine learning methods with resampling algorithms for flood susceptibility prediction Esmaeel Dodangeh, Bahram Choubin, Ahmad Najafi Eigdir et al. · The Science of The Total Environment | 6 Dec 2019 | 278 |
| 25 | COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach Gergő Pintér, Imre Felde, Amir Mosavi et al. · Mathematics | 2 Jun 2020 | 276 |
| 26 | Insights into Internet of Medical Things (IoMT): Data fusion, security issues and potential solutions Shams Forruque Ahmed, Md. Sakib Bin Alam, Shaila Afrin et al. · Information Fusion | 29 Sep 2023 | 260 |
| 27 | Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms Shahab S. Band, Saeid Janizadeh, Subodh Chandra Pal et al. · Remote Sensing | 31 Oct 2020 | 255 |
| 28 | A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique Abdur Rehman, Sagheer Abbas, Muhammad Adnan Khan et al. · Computers in Biology and Medicine | 21 Sep 2022 | 251 |
| 29 | Command Filter-Based Adaptive NN Control for MIMO Nonlinear Systems With Full-State Constraints and Actuator Hysteresis Jianbin Qiu, Kangkang Sun, Imre J. Rudas et al. · IEEE Transactions on Cybernetics | 22 Oct 2019 | 249 |
| 30 | Compressive Strength of Sustainable Geopolymer Concrete Composites: A State-of-the-Art Review Hemn Unis Ahmed, Azad A. Mohammed, Serwan Khwrshid Rafiq et al. · Sustainability | 7 Dec 2021 | 234 |
| 31 | Economic and Sustainability of Biodiesel Production—A Systematic Literature Review Tamás Mizik, Gábor Gyarmati · Clean Technologies | 8 Jan 2021 | 229 |
| 32 | Groundwater Quality Assessment for Sustainable Drinking and Irrigation Esmaeil Asadi, Mohammad Isazadeh, Saeed Samadianfard et al. · Sustainability | 24 Dec 2019 | 224 |
| 33 | Prediction of Hydropower Generation Using Grey Wolf Optimization Adaptive Neuro-Fuzzy Inference System Majid Dehghani, Hossien Riahi-Madvar, Farhad Hooshyaripor et al. · Energies | 17 Jan 2019 | 215 |
| 34 | A Review on Constraint Handling Techniques for Population-based Algorithms: from single-objective to multi-objective optimization Iman Rahimi, Amir H. Gandomi, Fang Chen et al. · Archives of Computational Methods in Engineering | 9 Dec 2022 | 209 |
| 35 | Meta-learning Approaches for Few-Shot Learning: A Survey of Recent Advances Hassan Gharoun, Fereshteh Momenifar, Fang Chen et al. · ACM Computing Surveys | 3 May 2024 | 204 |
| 36 | Snow avalanche hazard prediction using machine learning methods Bahram Choubin, Moslem Borji, Amir Mosavi et al. · Journal of Hydrology | 6 Jul 2019 | 201 |
| 37 | Advances in Machine Learning Modeling Reviewing Hybrid and Ensemble Methods Sina Ardabili, Amir Mosavi, Annamária R. Várkonyi-Kóczy · Lecture notes in networks and systems | 2020 | 194 |
| 38 | Prediction of Compression Index of Fine-Grained Soils Using a Gene Expression Programming Model Danial Mohammadzadeh S., Seyed-Farzan Kazemi, Amir Mosavi et al. · Infrastructures | 14 May 2019 | 192 |
| 39 | An improved whale optimization algorithm based on multi-population evolution for global optimization and engineering design problems Ya Shen, Chen Zhang, Farhad Soleimanian Gharehchopogh et al. · Expert Systems with Applications | 17 Nov 2022 | 189 |
| 40 | A New Online Learned Interval Type-3 Fuzzy Control System for Solar Energy Management Systems Zhi Liu, Ardashir Mohammadzadeh, Hamza Turabieh et al. · IEEE Access | 2021 | 189 |
| 41 | Modeling Pan Evaporation Using Gaussian Process Regression K-Nearest Neighbors Random Forest and Support Vector Machines; Comparative Analysis Sevda Shabani, Saeed Samadianfard, Mohammad Taghi Sattari et al. · Atmosphere | 4 Jan 2020 | 188 |
| 42 | SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT Anichur Rahman, Md. Jahidul Islam, Antonio Montieri et al. · IEEE Access | 2021 | 187 |
| 43 | Academic student satisfaction and perceived performance in the e-learning environment during the COVID-19 pandemic: Evidence across ten countries Damijana Keržič et al. · PLoS ONE | 20 Oct 2021 | 186 |
| 44 | Susceptibility Mapping of Soil Water Erosion Using Machine Learning Models Amirhosein Mosavi, Farzaneh Sajedi Hosseini, Bahram Choubin et al. · Water | 14 Jul 2020 | 184 |
| 45 | Geyser Inspired Algorithm: A New Geological-inspired Meta-heuristic for Real-parameter and Constrained Engineering Optimization Mojtaba Ghasemi, Mohsen Zare, Amir Zahedi et al. · Journal of Bionic Engineering | 26 Sep 2023 | 183 |
| 46 | Current development on the Operator 4.0 and transition towards the Operator 5.0: A systematic literature review in light of Industry 5.0 Bartłomiej Gładysz, Tuan-anh Tran, David Romero et al. · Journal of Manufacturing Systems | 29 Jul 2023 | 182 |
| 47 | Higher Education Students’ Perceptions of Online Learning during COVID-19—A Comparative Study Desireé Joy Cranfield, Andrea Tick, Isabella Margarethe Venter et al. · Education Sciences | 4 Aug 2021 | 180 |
| 48 | Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the future Saeid Janizadeh, Subodh Chandra Pal, Asish Kumar Saha et al. · Journal of Environmental Management | 17 Aug 2021 | 170 |
| 49 | Deep Learning and Machine Learning in Hydrological Processes Climate Change and Earth Systems a Systematic Review Sina Ardabili, Amir Mosavi, Majid Dehghani et al. · Lecture notes in networks and systems | 2020 | 170 |
| 50 | Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters Shahaboddin Shamshirband, Ehsan Jafari Nodoushan, Jason E. Adolf et al. · Engineering Applications of Computational Fluid Mechanics | 14 Dec 2018 | 168 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.