Tania Khatun

470 total citations
21 papers, 290 citations indexed

About

Tania Khatun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tania Khatun has authored 21 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tania Khatun's work include Artificial Intelligence in Healthcare (3 papers), Smart Agriculture and AI (3 papers) and Brain Tumor Detection and Classification (2 papers). Tania Khatun is often cited by papers focused on Artificial Intelligence in Healthcare (3 papers), Smart Agriculture and AI (3 papers) and Brain Tumor Detection and Classification (2 papers). Tania Khatun collaborates with scholars based in Bangladesh, Finland and United States. Tania Khatun's co-authors include Md. Ashiqul Islam, Mohammad Shahadat, Md. Mahfujur Rahman, Mohammad Shorif Uddin, Md. Sagar Hossen, Md. Rabiul Hasan, Ahmmed A. Rifat, Md. Shamim Anower, Sanjida Akter and Morium Akter and has published in prestigious journals such as Optical Engineering, Data in Brief and International Journal of Advanced Computer Science and Applications.

In The Last Decade

Tania Khatun

19 papers receiving 276 citations

Peers

Tania Khatun

CVPR

EEE

Shweta Lamba India

Jamal Mustafa Al-Tuwaijari Iraq

Ihtiram Raza Khan India

Norhalina Senan Malaysia

Md. Ashiqul Islam Bangladesh

K. Ramalakshmi India

Vikas Solanki India

Valliappan Raman Malaysia

Sammy V. Militante Philippines

Shweta Lamba India

Tania Khatun

244 ×2.1

78 ×1.3

47 ×1.1

CVPR

72 ×1.7

10 ×0.3

EEE

Citations per year, relative to Tania Khatun Tania Khatun (= 1×) peers Shweta Lamba

Countries citing papers authored by Tania Khatun

Since Specialization

Citations

This map shows the geographic impact of Tania Khatun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tania Khatun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tania Khatun more than expected).

Fields of papers citing papers by Tania Khatun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tania Khatun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tania Khatun. The network helps show where Tania Khatun may publish in the future.

Co-authorship network of co-authors of Tania Khatun

This figure shows the co-authorship network connecting the top 25 collaborators of Tania Khatun. A scholar is included among the top collaborators of Tania Khatun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tania Khatun. Tania Khatun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Khatun, Tania, et al.. (2025). Attention-Based Multi-Scale Fusion for Brain Tumor Classification with Explainable AI. 1–6.

Sharmin, Shayla, et al.. (2024). A dataset of color fundus images for the detection and classification of eye diseases. Data in Brief. 57. 110979–110979. 9 indexed citations

Khatun, Tania, et al.. (2024). Optimizing Multiplier Performance Through Verilog Hardware Description Language Design. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 1–6.

Khatun, Tania, et al.. (2023). An extensive real-world in field tomato image dataset involving maturity classification and recognition of fresh and defect tomatoes. Data in Brief. 51. 109688–109688. 8 indexed citations

Khatun, Tania, et al.. (2023). A comprehensive dragon fruit image dataset for detecting the maturity and quality grading of dragon fruit. Data in Brief. 52. 109936–109936. 22 indexed citations

Hossen, Md. Sagar, et al.. (2022). Examining The Risk Factors of Liver Disease: A Machine Learning Approach. 2022 7th International Conference on Communication and Electronics Systems (ICCES). 1249–1257. 6 indexed citations

Khatun, Tania, et al.. (2021). Performance Analysis of Diabetic Retinopathy Prediction using Machine Learning Models. 1048–1052. 21 indexed citations

Akter, Shamima, et al.. (2021). Recognizing Human Emotions from Eyes and Surrounding Features: A Deep Learning Approach. International Journal of Advanced Computer Science and Applications. 12(3). 3 indexed citations

Rahman, Md. Mahfujur, et al.. (2021). Supply Chain Management with Demand Forecasting of Covid-19 Vaccine using Blockchain and Machine Learning. 1–7. 14 indexed citations

10.

Islam, Md. Ashiqul, et al.. (2021). Smart Environmental Solution for Modern Urbanization using Mobile Application. 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV). 7. 104–112. 3 indexed citations

11.

Islam, Md. Ashiqul, et al.. (2021). An Automated Convolutional Neural Network Based Approach for Paddy Leaf Disease Detection. International Journal of Advanced Computer Science and Applications. 12(1). 94 indexed citations

12.

Khatun, Tania, et al.. (2021). Performance Analysis of Breast Cancer: A Machine Learning Approach. 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA). 1426–1434. 10 indexed citations

13.

Hossen, Md. Sagar, et al.. (2021). Hotel review analysis for the prediction of business using deep learning approach. 1489–1494. 18 indexed citations

14.

Akhund, Tajim Md. Niamat Ullah, et al.. (2021). IoT Security Perspectives and Probable Solution. 10. 81–86. 9 indexed citations

15.

Islam, Md. Ashiqul, et al.. (2021). Forecast Breast Cancer Cells from Microscopic Biopsy Images using Big Transfer (BiT): A Deep Learning Approach. International Journal of Advanced Computer Science and Applications. 12(10). 6 indexed citations

16.

Khatun, Tania, et al.. (2020). Road Object Detection in Bangladesh using Faster R-CNN: A Deep Learning Approach. 348–351. 7 indexed citations

17.

Hossen, Md. Sagar, et al.. (2020). A New Approach to Hiding Data in the Images Using Steganography Techniques Based on AES and RC5 Algorithm Cryptosystem. 676–681. 10 indexed citations

18.

Khatun, Tania, et al.. (2019). Tying or hanging of plants to body to cure diseases: an esoteric method of treatment. Journal of Medicinal Plants Studies. 7(2). 131–133. 4 indexed citations

19.

Khatun, Tania, et al.. (2018). ATM Card Security Using Bio-Metric and Message Authentication Technology. 74. 280–285. 8 indexed citations

20.

Khatun, Tania, et al.. (2016). Phytochemical screening, nutritional profile and anti-diabetic effect of ethanolic leaf extract of Cnidoscolus aconitifolius in streptozotocin induce diabetic mice. International Journal of Basic & Clinical Pharmacology. 2244–2250. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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