Institution · Leading University
Most cited papers from Leading University
What are the most cited papers from Leading University?
The most cited paper from Leading University is "Analysis of seasonal and annual rainfall trends in the northern region of Bangladesh" (Sheikh Hefzul Bari, M. Tauhid Ur Rahman, Muhammad Azizul Hoque et al., 2016), with 192 citations. Next come "Prediction of dissolved oxygen in Surma River by biochemical oxygen demand and chemical oxygen demand using the artificial neural networks (ANNs)" (166) and "Hybrid data-driven approaches to predicting the compressive strength of ultra-high-performance concrete using SHAP and PDP analyses" (143).
Showing 50 of 62 papers. Every paper with more than 16 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Analysis of seasonal and annual rainfall trends in the northern region of Bangladesh Sheikh Hefzul Bari, M. Tauhid Ur Rahman, Muhammad Azizul Hoque et al. · Atmospheric Research | 20 Feb 2016 | 192 |
| 2 | Prediction of dissolved oxygen in Surma River by biochemical oxygen demand and chemical oxygen demand using the artificial neural networks (ANNs) A. A. Masrur Ahmed · Journal of King Saud University - Engineering Sciences | 22 May 2014 | 166 |
| 3 | Hybrid data-driven approaches to predicting the compressive strength of ultra-high-performance concrete using SHAP and PDP analyses Abul M. Kashem, Rezaul Karim, Somir Chandra Malo et al. · Case Studies in Construction Materials | 19 Feb 2024 | 143 |
| 4 | Application of adaptive neuro-fuzzy inference system (ANFIS) to estimate the biochemical oxygen demand (BOD) of Surma River A. A. Masrur Ahmed, Syed Mustakim Ali Shah · Journal of King Saud University - Engineering Sciences | 26 Feb 2015 | 136 |
| 5 | An Improved Non-Isolated Quadratic DC-DC Boost Converter With Ultra High Gain Ability Nafis Subhani, Zazilah Binti May, Md Khorshed Alam et al. · IEEE Access | 2023 | 107 |
| 6 | Auto Signal Generate in Curvy Roads Using Object Detection Md Ashikur Rahman, Md. Mahfuzur Rahman, Md. Tabil Ahammed et al. | 29 Sep 2023 | 106 |
| 7 | Hybrid machine learning approach to prediction of the compressive and flexural strengths of UHPC and parametric analysis with shapley additive explanations Pobithra Das, Abul M. Kashem · Case Studies in Construction Materials | 28 Nov 2023 | 105 |
| 8 | Compressive strength prediction of sustainable concrete incorporating rice husk ash (RHA) using hybrid machine learning algorithms and parametric analyses Abul M. Kashem, Rezaul Karim, Pobithra Das et al. · Case Studies in Construction Materials | 5 Mar 2024 | 89 |
| 9 | Cloud Accounting: A Theoretical Overview Musammat Tahmina Khanom · IOSR Journal of Business and Management | Jun 2017 | 89 |
| 10 | Nurses' perspectives on privacy and ethical concerns regarding artificial intelligence adoption in healthcare Moustaq Karim Khan Rony, Sharker Md. Numan, Khadiza Akter et al. · Heliyon | 23 Aug 2024 | 85 |
| 11 | Using social media marketing in the digital era: A necessity or a choice Musammat Tahmina Khanom · International Journal of Research in Business and Social Science (2147-4478) | 6 May 2023 | 73 |
| 12 | Hybrid intelligence models for compressive strength prediction of MPC composites and parametric analysis with SHAP algorithm M. Aminul Haque, Bing Chen, Abul M. Kashem et al. · Materials Today Communications | 3 Feb 2023 | 68 |
| 13 | Economic viability of biogas and green self-employment opportunities Sayan Chakrabarty, F. I. M. Muktadir Boksh, Arpita Chakraborty · Renewable and Sustainable Energy Reviews | 6 Sep 2013 | 68 |
| 14 | Perceptions and attitudes of nurse practitioners toward artificial intelligence adoption in health care Moustaq Karim Khan Rony, Sharker Md. Numan, Fateha Tuj Johra et al. · Health Science Reports | Aug 2024 | 61 |
| 15 | Compressive strength prediction of high-strength concrete using hybrid machine learning approaches by incorporating SHAP analysis Abul M. Kashem, Pobithra Das · Asian Journal of Civil Engineering | 25 May 2023 | 61 |
| 16 | Economic Growth, Energy Mix, and Tourism-Induced EKC Hypothesis: Evidence from Top Ten Tourist Destinations Md. Hasanur Rahman, Liton Chandra Voumik, Md. Jamsedul Islam et al. · Sustainability | 7 Dec 2022 | 57 |
| 17 | Monthly rainfall forecast of Bangladesh using autoregressive integrated moving average method Ishtiak Mahmud, Sheikh Hefzul Bari, M. Tauhid Ur Rahman · Environmental Engineering Research | 28 Nov 2016 | 57 |
| 18 | A comparative study of machine learning models for construction costs prediction with natural gradient boosting algorithm and SHAP analysis Pobithra Das, Abul M. Kashem, Imrul Hasan et al. · Asian Journal of Civil Engineering | 9 Feb 2024 | 56 |
| 19 | Healthcare workers' knowledge and attitudes regarding artificial intelligence adoption in healthcare: A cross-sectional study Moustaq Karim Khan Rony, Khadiza Akter, Latifun Nesa et al. · Heliyon | 29 Nov 2024 | 52 |
| 20 | Marine predators algorithm for solving single-objective optimal power flow Mohammad Zohrul Islam, Mohammad Lutfi Othman, Noor Izzri Abdul Wahab et al. · PLoS ONE | 12 Aug 2021 | 47 |
| 21 | Prediction of high-performance concrete compressive strength using deep learning techniques Naimul Islam, Abul M. Kashem, Pobithra Das et al. · Asian Journal of Civil Engineering | 26 Jun 2023 | 45 |
| 22 | Strength development in fine-grained paddy field soil by lime addition Shriful Islam, Neamul Hoque, M. Aminul Haque et al. · Journal of Building Engineering | 4 Jul 2019 | 44 |
| 23 | Prediction of mechanical properties of eco-friendly concrete using machine learning algorithms and partial dependence plot analysis Tonmoy Roy, Pobithra Das, Ravi Jagirdar et al. · Smart Construction and Sustainable Cities | 26 Jan 2025 | 40 |
| 24 | Rainfall variability and seasonality in northern Bangladesh Sheikh Hefzul Bari, Md. Manjurul Hussain, Noor-E-Ashmaul Husna · Theoretical and Applied Climatology | 17 May 2016 | 37 |
| 25 | A critical review on contemporary power electronics interface topologies to vehicle‐to‐grid technology: Prospects, challenges, and directions Moshammed Nishat Tasnim, Jannatul Mahi Khan Riana, Tamanna Shams et al. · IET Power Electronics | 27 Nov 2023 | 34 |
| 26 | The development of dissolved oxygen forecast model using hybrid machine learning algorithm with hydro-meteorological variables A. A. Masrur Ahmed, S. Janifer Jabin Jui, Mohammad Aktarul Islam Chowdhury et al. · Environmental Science and Pollution Research | Sep 2022 | 34 |
| 27 | Workplace violence and turnover intention among the Bangladeshi female nurses after a year of pandemic: An exploratory cross-sectional study Humayun Kabir, Saifur Rahman Chowdhury, Saifur Rahman Chowdhury et al. · PLOS Global Public Health | Apr 2022 | 34 |
| 28 | Nursing Students' Perspectives on Integrating Artificial Intelligence Into Clinical Practice and Training: A Qualitative Descriptive Study Moustaq Karim Khan Rony, Sumon Ahmad, Dipak Chandra Das et al. · Health Science Reports | Apr 2025 | 33 |
| 29 | Breast Cancer Detection and Classification: A Comparative Analysis Using Machine Learning Algorithms Shadman Sakib, Nowrin Yasmin, Abyaz Kader Tanzeem et al. · Lecture notes in electrical engineering | 2022 | 33 |
| 30 | Talent Management and Organizational Performance: An Empirical Study in Retail Sector in Sylhet City, Bangladesh Anwar Ahmad Arif, Md. Reaz Uddin · IOSR Journal of Business and Management | Oct 2016 | 33 |
| 31 | Alkali-activated binder concrete strength prediction using hybrid-deep learning along with shapely additive explanations and uncertainty analysis Pobithra Das, Abul M. Kashem, Mominul Islam et al. · Construction and Building Materials | 30 May 2024 | 32 |
| 32 | Sustainable of rice husk ash concrete compressive strength prediction utilizing artificial intelligence techniques Sourov Paul, Pobithra Das, Abul M. Kashem et al. · Asian Journal of Civil Engineering | Aug 2023 | 30 |
| 33 | LOCAL COMMUNITY PERCEPTION ABOUT TOURISM IMPACT AND COMMUNITY SUPPORT FOR FUTURE TOURISM DEVELOPMENT: A STUDY ON SYLHET, BANGLADESH Md. Abdul Halim, Mst. Jannatul Mawa, Santus Kumar Deb et al. · GeoJournal of Tourism and Geosites | 24 Oct 2022 | 30 |
| 34 | Nursing Educators’ Perspectives on the Integration of Artificial Intelligence Into Academic Settings Moustaq Karim Khan Rony, Sumon Ahmad, Sabren Mukta Tanha et al. · SAGE Open Nursing | 2025 | 29 |
| 35 | Association of workplace bullying and burnout with nurses’ suicidal ideation in Bangladesh Humayun Kabir, Saifur Rahman Chowdhury, Saifur Rahman Chowdhury et al. · Scientific Reports | 5 Sep 2023 | 28 |
| 36 | Plant Leaf Disease Detection and Classification Using Deep Learning: A Review and A Proposed System on Bangladesh’s Perspective Md. Jalal Uddin Chowdhury, Zumana Islam Mou, Rezwana Afrin et al. · International Journal of Science and Business | 2023 | 25 |
| 37 | The analysis of groundwater table variations in Sylhet region, Bangladesh Md. Abu Zafor, Md. Jahir Bin Alam, M.A. Rahman et al. · Environmental Engineering Research | May 2017 | 25 |
| 38 | Optimization algorithms as training approach with hybrid deep learning methods to develop an ultraviolet index forecasting model A. A. Masrur Ahmed, Mohammad Hafez Ahmed, Sanjoy Kanti Saha et al. · Stochastic Environmental Research and Risk Assessment | 24 Feb 2022 | 24 |
| 39 | Ground water level prediction using artificial neural network Noor E Ashmaul Husna, Sheikh Hefzul Bari, Md. Manjurul Hussain et al. · International Journal of Hydrology Science and Technology | 2016 | 24 |
| 40 | Assessment of nickel leaching phenomena from landfill waste mixed paving block for eco-friendly field application M. Aminul Haque · Journal of Cleaner Production | 7 Aug 2016 | 24 |
| 41 | Prediction of compressive strength of high-performance concrete using optimization machine learning approaches with SHAP analysis Md Mahamodul Islam, Pobithra Das, Md Mahbubur Rahman et al. · Journal of Building Pathology and Rehabilitation | 24 May 2024 | 23 |
| 42 | COVID-19 Prediction based on Infected Cases and Deaths of Bangladesh using Deep Transfer Learning Khan Md. Hasib, Shadman Sakib, Jubayer Al Mahmud et al. · 2022 IEEE World AI IoT Congress (AIIoT) | 6 Jun 2022 | 23 |
| 43 | Strengths, weaknesses, opportunities and threats (SWOT) analysis of artificial intelligence adoption in nursing care Moustaq Karim Khan Rony, Khadiza Akter, Mitun Debnath et al. · Journal of Medicine Surgery and Public Health | 13 May 2024 | 22 |
| 44 | Identifying Existing Bus Service Condition and Analyzing Customer Satisfaction of Bus Service in Dhaka City Farzana Rahman, Tanay Datta Chowdhury, Tanvir Haque et al. · Journal of Transportation Technologies | 2017 | 21 |
| 45 | An Outcome Based Analysis on Heart Disease Prediction using Machine Learning Algorithms and Data Mining Approaches Aushtmi Deb, Mst. Sadia Akter Koli, Sheikh Beauty Akter et al. · 2022 IEEE World AI IoT Congress (AIIoT) | 6 Jun 2022 | 20 |
| 46 | Hybrid deep learning models for multi-ahead river water level forecasting Abul M. Kashem, Pobithra Das, Md. Mahmudul Hasan et al. · Earth Science Informatics | 16 May 2024 | 19 |
| 47 | IFRS adoption and real earnings management in Bangladesh: The role of board characteristics Mohammad Tariq Hasan, Md. Kaium Hossain, Mohammad Sarwar Rekabder et al. · Cogent Business & Management | 23 Aug 2022 | 19 |
| 48 | Integrating fuzzy logic with Pearson correlation to optimize contaminant detection in water distribution system with uncertainty analyses Shabbir Ahmed Osmani, Bijit Kumar Banik, Hazrat Ali · Environmental Monitoring and Assessment | 15 Jun 2019 | 19 |
| 49 | Seasonal Effects on Heavy Metal Concentration in Decomposed Solid Waste of DNCC and DSCC Landfill Sites Mohammad Abdul Hoque, M. Aminul Haque, M. S. A. Mondal · Civil Engineering and Architecture | 2014 | 19 |
| 50 | Multi-Model Attentional Fusion Ensemble for Accurate Skin Cancer Classification Iftekhar Ahmed, Biggo Bushon Routh, Md. Saidur Rahman Kohinoor et al. · IEEE Access | 2024 | 18 |
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.