Institution · Torrens University Australia
Most cited papers from Torrens University Australia
What are the most cited papers from Torrens University Australia?
The most cited paper from Torrens University Australia is "Slime mould algorithm: A new method for stochastic optimization" (Shimin Li, Huiling Chen, Mingjing Wang et al., 2020), with 3,044 citations. Next come "The Arithmetic Optimization Algorithm" (2,951) and "Marine Predators Algorithm: A nature-inspired metaheuristic" (2,419).
Showing 50 of 60 papers. Every paper with more than 227 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Slime mould algorithm: A new method for stochastic optimization Shimin Li, Huiling Chen, Mingjing Wang et al. · Future Generation Computer Systems | 3 Apr 2020 | 3,044 |
| 2 | The Arithmetic Optimization Algorithm Laith Abualigah, Ali H. Diabat, Seyedali Mirjalili et al. · Computer Methods in Applied Mechanics and Engineering | 12 Jan 2021 | 2,951 |
| 3 | Marine Predators Algorithm: A nature-inspired metaheuristic Afshin Faramarzi, Mohammad Heidarinejad, Seyedali Mirjalili et al. · Expert Systems with Applications | 13 Mar 2020 | 2,419 |
| 4 | Equilibrium optimizer: A novel optimization algorithm Afshin Faramarzi, Mohammad Heidarinejad, Brent E. Stephens et al. · Knowledge-Based Systems | 6 Nov 2019 | 2,344 |
| 5 | Using Zoom Videoconferencing for Qualitative Data Collection: Perceptions and Experiences of Researchers and Participants Mandy M. Archibald, Rachel C. Ambagtsheer, Mavourneen G. Casey et al. · International Journal of Qualitative Methods | 2019 | 2,219 |
| 6 | Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019 Jonathan Kocarnik et al. · JAMA Oncology | 30 Dec 2021 | 2,100 |
| 7 | Management of frailty: opportunities, challenges, and future directions Elsa Dent, Finbarr C. Martin, Howard Bergman et al. · The Lancet | Oct 2019 | 1,716 |
| 8 | African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems Benyamın Abdollahzadeh, Farhad Soleimanian Gharehchopogh, Seyedali Mirjalili · Computers & Industrial Engineering | 21 May 2021 | 1,438 |
| 9 | Particle Swarm Optimization: A Comprehensive Survey Tareq M. Shami, Ayman A. El‐Saleh, Mohammed Alswaitti et al. · IEEE Access | 2022 | 1,420 |
| 10 | Glutamine: Metabolism and Immune Function, Supplementation and Clinical Translation Vínicius Fernandes Cruzat, Marcelo Macedo Rogero, Kevin Noel Keane et al. · Nutrients | 23 Oct 2018 | 1,195 |
| 11 | An improved grey wolf optimizer for solving engineering problems Mohammad H. Nadimi-Shahraki, Shokooh Taghian, Seyedali Mirjalili · Expert Systems with Applications | 16 Sep 2020 | 1,160 |
| 12 | International Clinical Practice Guidelines for Sarcopenia (ICFSR): Screening, Diagnosis and Management Elsa Dent et al. · The journal of nutrition health & aging | 21 Nov 2018 | 1,132 |
| 13 | Physical Frailty: ICFSR International Clinical Practice Guidelines for Identification and Management Elsa Dent et al. · The journal of nutrition health & aging | 3 Oct 2019 | 1,087 |
| 14 | Artificial gorilla troops optimizer: A new nature‐inspired metaheuristic algorithm for global optimization problems Benyamın Abdollahzadeh, Farhad Soleimanian Gharehchopogh, Seyedali Mirjalili · International Journal of Intelligent Systems | 12 Jul 2021 | 1,063 |
| 15 | Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications Weiguo Zhao, Liying Wang, Seyedali Mirjalili · Computer Methods in Applied Mechanics and Engineering | 9 Nov 2021 | 991 |
| 16 | Effectiveness of public health measures in reducing the incidence of covid-19, SARS-CoV-2 transmission, and covid-19 mortality: systematic review and meta-analysis Stella Talic, Shivangi Shah, Holly Wild et al. · BMJ | 17 Nov 2021 | 829 |
| 17 | Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems Liying Wang, Qingjiao Cao, Zhenxing Zhang et al. · Engineering Applications of Artificial Intelligence | 11 Jul 2022 | 776 |
| 18 | Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023 Simon I Hay et al. · The Lancet | Oct 2025 | 762 |
| 19 | Sarcopenia: A Time for Action. An SCWD Position Paper Jürgen Martin Bauer et al. · Journal of Cachexia Sarcopenia and Muscle | 15 Sep 2019 | 745 |
| 20 | 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 |
| 21 | Crayfish optimization algorithm Heming Jia, Honghua Rao, Changsheng Wen et al. · Artificial Intelligence Review | 2 Sep 2023 | 633 |
| 22 | 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 |
| 23 | Prairie Dog Optimization Algorithm Absalom El-Shamir Ezugwu, Jeffrey Ovre Agushaka, Laith Abualigah et al. · Neural Computing and Applications | 15 Jul 2022 | 561 |
| 24 | Malnutrition in older adults Elsa Dent, Olivia R. L. Wright, Jean Woo et al. · The Lancet | 27 Jan 2023 | 524 |
| 25 | Global burden of 292 causes of death in 204 countries and territories and 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023 Mohsen Naghavi et al. · The Lancet | Oct 2025 | 500 |
| 26 | 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 |
| 27 | 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 |
| 28 | Poor Long-Term Survival in Patients With Moderate Aortic Stenosis Geoff Strange, Simon Stewart, David Stephen Celermajer et al. · Journal of the American College of Cardiology | 3 Sep 2019 | 420 |
| 29 | Improving the Prediction of Heart Failure Patients’ Survival Using SMOTE and Effective Data Mining Techniques Abid Ishaq, Saima Sadiq, Muhammad Umer et al. · IEEE Access | 2021 | 404 |
| 30 | A comprehensive survey of recent trends in deep learning for digital images augmentation Nour Eldeen M. Khalifa, Mohamed Loey, Seyedali Mirjalili · Artificial Intelligence Review | 4 Sep 2021 | 393 |
| 31 | A workforce to be reckoned with: The emerging pivotal Generation Z hospitality workforce Edmund Goh, Cindy Lee · International Journal of Hospitality Management | 5 Feb 2018 | 389 |
| 32 | Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection Mohammad Tubishat, Norisma Binti Idris, Liyana Mohd Shuib et al. · Expert Systems with Applications | 5 Dec 2019 | 381 |
| 33 | 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 |
| 34 | 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 |
| 35 | Artificial intelligence and fintech: An overview of opportunities and risks for banking, investments, and microfinance Arvind Ashta, Heinz Herrmann · Strategic Change | May 2021 | 373 |
| 36 | Whale Optimization Algorithm With Applications to Resource Allocation in Wireless Networks Quoc‐Viet Pham, Seyedali Mirjalili, Neeraj Kumar et al. · IEEE Transactions on Vehicular Technology | 11 Feb 2020 | 347 |
| 37 | Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review Blake Anthony Hickey, Taryn Chalmers, Phillip J. Newton et al. · Sensors | 16 May 2021 | 340 |
| 38 | Flow Direction Algorithm (FDA): A Novel Optimization Approach for Solving Optimization Problems Hojat Karami, Mahdi Valikhan Anaraki, Saeed Farzin et al. · Computers & Industrial Engineering | 10 Mar 2021 | 335 |
| 39 | A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection Mohamed Abdel‐Basset, Doaa El-Shahat, Ibrahim El-Henawy et al. · Expert Systems with Applications | 27 Jul 2019 | 334 |
| 40 | The global, regional, and national burden of cancer, 1990–2023, with forecasts to 2050: a systematic analysis for the Global Burden of Disease Study 2023 Lisa M Force et al. · The Lancet | 25 Sep 2025 | 330 |
| 41 | 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 |
| 42 | The Hiking Optimization Algorithm: A novel human-based metaheuristic approach Sunday Oladayo Oladejo, Stephen Obono Ekwe, Seyedali Mirjalili · Knowledge-Based Systems | 2 May 2024 | 322 |
| 43 | Electric eel foraging optimization: A new bio-inspired optimizer for engineering applications Weiguo Zhao, Liying Wang, Zhenxing Zhang et al. · Expert Systems with Applications | 23 Oct 2023 | 320 |
| 44 | A Critical Review on Structural Health Monitoring: Definitions, Methods, and Perspectives Vahidreza Gharehbaghi, Ehsan Noroozinejad Farsangi, Mohammad Noori et al. · Archives of Computational Methods in Engineering | 24 Oct 2021 | 320 |
| 45 | Grasshopper Optimization Algorithm: Theory, Variants, and Applications Yassine Meraihi, Asma Benmessaoud Gabis, Seyedali Mirjalili et al. · IEEE Access | 2021 | 316 |
| 46 | Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study Mohammad H. Nadimi-Shahraki, Hoda Zamani, Seyedali Mirjalili · Computers in Biology and Medicine | 16 Jul 2022 | 315 |
| 47 | Selective Opposition based Grey Wolf Optimization Souvik Dhargupta, Manosij Ghosh, Seyedali Mirjalili et al. · Expert Systems with Applications | 17 Mar 2020 | 297 |
| 48 | Fick’s Law Algorithm: A physical law-based algorithm for numerical optimization Fatma A. Hashim, Reham Reda Mostafa, Abdelazim G. Hussien et al. · Knowledge-Based Systems | 28 Nov 2022 | 296 |
| 49 | The cheetah optimizer: a nature-inspired metaheuristic algorithm for large-scale optimization problems Mohammad Amin Akbari, Mohsen Zare, Rasoul Azizipanah‐Abarghooee et al. · Scientific Reports | 29 Jun 2022 | 283 |
| 50 | 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 |
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.