# University of Dhaka

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/university-of-dhaka/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 22.5 |
| Citations | 837,765 |
| City | Dhaka |
| Country | BD |
| Description | University of Dhaka is a research organisation in Dhaka, BD. OpenAlex records 31,161 works and 837,765 citations for it. 10,224 researchers list it as their most recent affiliation. |
| Homepage | http://www.du.ac.bd/ |
| OpenAlex ID | https://openalex.org/I205746353 |
| Region | Dhaka Division |
| Researchers | 10,224 |
| ROR ID | https://ror.org/05wv2vq37 |
| Type | education |
| Works | 31,161 |

## University papers

- [YoTransViT: A transformer and CNN method for predicting and classifying skin diseases using segmentation techniques](https://scholariq.org/papers/yotransvit-a-transformer-and-cnn-method-for-predicting-and-classifying-skin/)
- [Towards Developing an IoT-Based Aquaculture Monitoring System](https://scholariq.org/papers/towards-developing-an-iot-based-aquaculture-monitoring-system/)
- [Improved the accuracy of IOT based LPG leakage detection system with early fire prediction and smart alert](https://scholariq.org/papers/improved-the-accuracy-of-iot-based-lpg-leakage-detection-system-with-early-fire/)
- [An Algorithmic Approach to Develop Auto Translation System - Bengali to English](https://scholariq.org/papers/an-algorithmic-approach-to-develop-auto-translation-system-bengali-to-english/)
- [Hybrid U-Net architecture with REASPP and DenseNet for robust medical image segmentation](https://scholariq.org/papers/hybrid-u-net-architecture-with-reaspp-and-densenet-for-robust-medical-image/)
- [A Low-Resource Transformer-Based Deep Learning Framework for Precise Localization and Classification of Visible Crop Diseases](https://scholariq.org/papers/a-low-resource-transformer-based-deep-learning-framework-for-precise/)
- [SDNGuardStack: An Explainable Ensemble Learning Framework for High-Accuracy Intrusion Detection in Software-Defined Networks](https://scholariq.org/papers/sdnguardstack-an-explainable-ensemble-learning-framework-for-high-accuracy/)
- [SDNGuardStack: An Explainable Ensemble Learning Framework for High-Accuracy Intrusion Detection in Software-Defined Networks](https://scholariq.org/papers/sdnguardstack-an-explainable-ensemble-learning-framework-for-high-accuracy-2/)
- [Scholarship Dataset for Bangladeshi Student Funding Analysis](https://scholariq.org/papers/scholarship-dataset-for-bangladeshi-student-funding-analysis/)
- [Scholarship Dataset for Bangladeshi Student Funding Analysis](https://scholariq.org/papers/scholarship-dataset-for-bangladeshi-student-funding-analysis-2/)
- [Transformer-Driven Adverse Drug Reaction Classification: A Comparative Evaluation on Patient-Generated Data](https://scholariq.org/papers/transformer-driven-adverse-drug-reaction-classification-a-comparative-evaluation/)
- [Hybrid Transformer-Based Approaches for Pharmacovigilance: Detecting Adverse Drug Reaction from Patient-Generated Drug Reviews](https://scholariq.org/papers/hybrid-transformer-based-approaches-for-pharmacovigilance-detecting-adverse-drug/)

## University researchers

- [Ashif Mahmud Joy](https://scholariq.org/researchers/ashif-mahmud-joy/)
- [Md. Ahsan Arif](https://scholariq.org/researchers/md-ahsan-arif/)

## University top topics

Showing 8 of 24.

- [Child Nutrition and Water Access](https://scholariq.org/topics/child-nutrition-and-water-access/)
- [Nanofluid Flow and Heat Transfer](https://scholariq.org/topics/nanofluid-flow-and-heat-transfer/)
- [Global Maternal and Child Health](https://scholariq.org/topics/global-maternal-and-child-health/)
- [Linguistic, Cultural, and Literary Studies](https://scholariq.org/topics/linguistic-cultural-and-literary-studies/)
- [Legal and Regulatory Analysis](https://scholariq.org/topics/legal-and-regulatory-analysis/)
- [Military Technology and Strategies](https://scholariq.org/topics/military-technology-and-strategies/)
- [Heavy metals in environment](https://scholariq.org/topics/heavy-metals-in-environment/)
- [COVID-19 and Mental Health](https://scholariq.org/topics/covid-19-and-mental-health/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.