Institution · J. Selye University
Most cited papers from J. Selye University
What are the most cited papers from J. Selye University?
The most cited paper from J. Selye University is "State of the Art of Machine Learning Models in Energy Systems, a Systematic Review" (Amir Mosavi, Mohsen Salimi, Sina Ardabili et al., 2019), with 571 citations. Next come "Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis" (465) and "Deep Learning for Stock Market Prediction" (398).
Showing 50 of 59 papers. Every paper with more than 53 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | 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 |
| 2 | 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 |
| 3 | Deep Learning for Stock Market Prediction Mojtaba Nabipour, Pooyan Nayyeri, Hamed Jabani et al. · Entropy | 30 Jul 2020 | 398 |
| 4 | COVID-19 Outbreak Prediction with Machine Learning Sina Ardabili, Amir Mosavi, Pedram Ghamisi et al. · Algorithms | Oct 2020 | 365 |
| 5 | 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 |
| 6 | COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach Gergő Pintér, Imre Felde, Amir Mosavi et al. · Mathematics | 2 Jun 2020 | 276 |
| 7 | Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran Mostafa Emadi, Ruhollah Taghizadeh-Mehrjardi, Ali Cherati et al. · Remote Sensing | 12 Jul 2020 | 274 |
| 8 | 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 |
| 9 | Higher education students’ perceptions of ChatGPT: A global study of early reactions Dejan Ravšelj et al. · PLoS ONE | 5 Feb 2025 | 226 |
| 10 | 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 |
| 11 | Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods Saeed Nosratabadi, Amirhosein Mosavi, Puhong Duan et al. · Mathematics | 16 Oct 2020 | 172 |
| 12 | 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 |
| 13 | Prediction of significant wave height; comparison between nested grid numerical model, and machine learning models of artificial neural networks, extreme learning and support vector machines Shahaboddin Shamshirband, Amir Mosavi, Timon Rabczuk et al. · Engineering Applications of Computational Fluid Mechanics | 2020 | 154 |
| 14 | Coronary Artery Disease Diagnosis; Ranking the Significant Features Using a Random Trees Model Javad Hassannataj Joloudari, Edris Hassannataj Joloudari, Hamid Saadatfar et al. · International Journal of Environmental Research and Public Health | 23 Jan 2020 | 148 |
| 15 | Modeling and Uncertainty Analysis of Groundwater Level Using Six Evolutionary Optimization Algorithms Hybridized with ANFIS, SVM, and ANN Akram Seifi, Mohammad Ehteram, Vijay P. Singh et al. · Sustainability | 14 May 2020 | 141 |
| 16 | Systematic Review of Deep Learning and Machine Learning for Building Energy Sina Ardabili, Leila Abdolalizadeh, Csaba Makó et al. · Frontiers in Energy Research | 18 Mar 2022 | 123 |
| 17 | A New K-Nearest Neighbors Classifier for Big Data Based on Efficient Data Pruning Hamid Saadatfar, Samiyeh Khosravi, Javad Hassannataj Joloudari et al. · Mathematics | 20 Feb 2020 | 120 |
| 18 | Prediction of Thermo-Physical Properties of TiO2-Al2O3/Water Nanoparticles by Using Artificial Neural Network Milad Sadeghzadeh, Heydar Maddah, Mohammad Hossein Ahmadi et al. · Nanomaterials | 7 Apr 2020 | 119 |
| 19 | DistBlockBuilding: A Distributed Blockchain-Based SDN-IoT Network for Smart Building Management Anichur Rahman, Mostofa Kamal Nasir, Ziaur Rahman et al. · IEEE Access | 2020 | 109 |
| 20 | Estimating longitudinal dispersion coefficient in natural streams using empirical models and machine learning algorithms Katayoun Kargar, Saeed Samadianfard, Javad Parsa et al. · Engineering Applications of Computational Fluid Mechanics | 2020 | 108 |
| 21 | Modeling hydrogen solubility in hydrocarbons using extreme gradient boosting and equations of state Mohammad-Reza Mohammadi, Fahime Hadavimoghaddam, Maryam Pourmahdi et al. · Scientific Reports | 9 Sep 2021 | 107 |
| 22 | Early Detection of the Advanced Persistent Threat Attack Using Performance Analysis of Deep Learning Javad Hassannataj Joloudari, Mojtaba Haderbadi, Amir Mashmool et al. · IEEE Access | 2020 | 103 |
| 23 | The Impact of Green Marketing on Consumer Behavior in the Market of Palm Oil Products Renáta Machová, Rebeka Ambrus, Tibor Zsigmond et al. · Sustainability | 25 Jan 2022 | 100 |
| 24 | The effects of emotional intelligence and ethics of SME employees on knowledge sharing in Central-European countries Ladislav Mura, Tibor Zsigmond, Renáta Machová · Oeconomia Copernicana | 21 Dec 2021 | 98 |
| 25 | Generation Alpha: Marketing or Science Ádám Nagy, Attila Kölcsey · Acta Educationis Generalis | Apr 2017 | 97 |
| 26 | General Physical Description of the Behavior of Oppositely Charged Polyelectrolyte/Surfactant Mixtures at the Air/Water Interface Imre Varga, Richard A. Campbell · Langmuir | 11 May 2017 | 96 |
| 27 | Systematic Review of Deep Learning and Machine Learning Models in Biofuels Research Sina Ardabili, Amir Mosavi, Annamária R. Várkonyi-Kóczy · Lecture notes in networks and systems | 2020 | 94 |
| 28 | Developing an ANFIS-PSO Model to Predict Mercury Emissions in Combustion Flue Gases Shahaboddin Shamshirband, Masoud Hadipoor, Alireza Akbarzadeh Baghban et al. · Mathematics | 14 Oct 2019 | 93 |
| 29 | A Hybrid Machine Learning Approach for Daily Prediction of Solar Radiation Mehrnoosh Torabi, Amir Mosavi, Pınar Öztürk et al. · Lecture notes in networks and systems | 18 Aug 2018 | 93 |
| 30 | Groundwater level prediction in arid areas using wavelet analysis and Gaussian process regression Shahab S. Band, Essam Heggy, Sayed M. Bateni et al. · Engineering Applications of Computational Fluid Mechanics | 2021 | 92 |
| 31 | Prediction of stock values changes using sentiment analysis of stock news headlines L. Nemes, Attila Kiss · Journal of Information and Telecommunication | Feb 2021 | 92 |
| 32 | Short-Term Hydrological Drought Forecasting Based on Different Nature-Inspired Optimization Algorithms Hybridized With Artificial Neural Networks Narjes Nabipour, Majid Dehghani, Amir Mosavi et al. · IEEE Access | 2020 | 89 |
| 33 | The Role of Urban Morphology Design on Enhancing Physical Activity and Public Health Sadegh Fathi, Hassan Sajadzadeh, Faezeh Mohammadi Sheshkal et al. · International Journal of Environmental Research and Public Health | 31 Mar 2020 | 88 |
| 34 | Reviewing the Novel Machine Learning Tools for Materials Design Amir Mosavi, Timon Rabczuk, Annamária R. Várkonyi-Kóczy · Advances in intelligent systems and computing | 9 Sep 2017 | 88 |
| 35 | Mobile shopping platform characteristics as consumer behavior determinants Yang Liu, Qi Li, Tudor Edu et al. · Asia Pacific Journal of Marketing and Logistics | 26 Nov 2019 | 86 |
| 36 | Direct asymmetric reduction of levulinic acid to gamma-valerolactone: synthesis of a chiral platform molecule József M. Tukacs, Bálint Fridrich, Gábor Dibó et al. · Green Chemistry | 2015 | 86 |
| 37 | When Smart Cities Get Smarter via Machine Learning: An In-Depth Literature Review Shahab S. Band, Sina Ardabili, Mehdi Sookhak et al. · IEEE Access | 2022 | 83 |
| 38 | Integration of Machine Learning and Optimization for Robot Learning Amir Mosavi, Annamária R. Várkonyi-Kóczy · Advances in intelligent systems and computing | 22 Sep 2016 | 82 |
| 39 | The Cooling Effect of Large-Scale Urban Parks on Surrounding Area Thermal Comfort Farshid Aram, Ebrahim Solgi, Ester Higueras García et al. · Energies | 15 Oct 2019 | 80 |
| 40 | Accurate Morphology Preserving Segmentation of Overlapping Cells based on Active Contours Csaba Molnár, Ian H. Jermyn, Zoltán Kató et al. · Scientific Reports | 26 Aug 2016 | 80 |
| 41 | A Hybrid Deep Learning Technique for Personality Trait Classification From Text Hussain Al-Ahmad, Muhammad Zubair Asghar, Muhammad Zubair Asghar et al. · IEEE Access | 2021 | 76 |
| 42 | List of Deep Learning Models Amir Mosavi, Sina Ardabili, Annamária R. Várkonyi-Kóczy · Lecture notes in networks and systems | 2020 | 75 |
| 43 | Predicting the Relationship between Green Transformational Leadership, Green Human Resource Management Practices, and Employees’ Green Behavior Afriyadi Cahyadi, Diah Natalisa, József Poór et al. · Administrative Sciences | 22 Dec 2022 | 71 |
| 44 | Graphene and Iron Reinforced Polymer Composite Electromagnetic Shielding Applications: A Review Saba Ayub, Beh Hoe Guan, Faiz Ahmad et al. · Polymers | 3 Aug 2021 | 69 |
| 45 | Insights into the Effects of Pore Size Distribution on the Flowing Behavior of Carbonate Rocks: Linking a Nano-Based Enhanced Oil Recovery Method to Rock Typing Amin Rezaei, Hadi Abdollahi, Zeinab Derikvand et al. · Nanomaterials | 18 May 2020 | 68 |
| 46 | Entrepreneurship Motivation in the 21st Century in Terms of Pull and Push Factors Zsuzsanna Gódány, Renáta Machová, Ladislav Mura et al. · TEM Journal | 27 Feb 2021 | 62 |
| 47 | Blockchain-Empowered Service Management for the Decentralized Metaverse of Things Taras Maksymyuk, Juraj Gazda, Gabriel Bugár et al. · IEEE Access | 2022 | 61 |
| 48 | Estimating CO2-Brine diffusivity using hybrid models of ANFIS and evolutionary algorithms Amin Bemani, Alireza Akbarzadeh Baghban, Amir Mosavi et al. · Engineering Applications of Computational Fluid Mechanics | 2020 | 61 |
| 49 | Foreign Language Learning Characteristics of Deaf and Severely Hard‐of‐Hearing Students Kata Csizér, Edit H. Kontra · Modern Language Journal | 11 Feb 2020 | 61 |
| 50 | A machine learning approach for active/reactive power control of grid-connected doubly-fed induction generators Jafar Tavoosi, Ardashir Mohammadzadeh, Bahareh Pahlevanzadeh et al. · Ain Shams Engineering Journal | 31 Aug 2021 | 59 |
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.