Laboni Akter

650 total citations
15 papers, 318 citations indexed

About

Laboni Akter is a scholar working on Health Information Management, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Laboni Akter has authored 15 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health Information Management, 6 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Laboni Akter's work include Artificial Intelligence in Healthcare (6 papers), Imbalanced Data Classification Techniques (3 papers) and Brain Tumor Detection and Classification (2 papers). Laboni Akter is often cited by papers focused on Artificial Intelligence in Healthcare (6 papers), Imbalanced Data Classification Techniques (3 papers) and Brain Tumor Detection and Classification (2 papers). Laboni Akter collaborates with scholars based in Bangladesh, Australia and India. Laboni Akter's co-authors include M. Raihan, Md. Milon Islam, Etu Podder, Md. Rezwanul Haque, Mabrook Al‐Rakhami, Md. Mehedi Hassan, Sadika Zaman, Khan Md. Hasib, Md. Mahedi Hassan and Tanvir Ahammed and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and SN Computer Science.

In The Last Decade

Laboni Akter

14 papers receiving 298 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Laboni Akter Bangladesh 8 138 83 57 56 54 15 318
M. Raihan Bangladesh 11 194 1.4× 158 1.9× 57 1.0× 74 1.3× 53 1.0× 65 492
Selim Buyrukoğlu Türkiye 9 113 0.8× 65 0.8× 13 0.2× 29 0.5× 20 0.4× 30 288
Jingchi Jiang China 14 201 1.5× 43 0.5× 20 0.4× 19 0.3× 74 1.4× 57 430
Youcef Brik Algeria 9 124 0.9× 59 0.7× 19 0.3× 47 0.8× 14 0.3× 30 315
Arkadiusz Kwasigroch Poland 7 125 0.9× 36 0.4× 12 0.2× 114 2.0× 9 0.2× 12 425
Engy El-Shafeiy Egypt 8 79 0.6× 30 0.4× 17 0.3× 27 0.5× 12 0.2× 15 217
S. R. Sannasi Chakravarthy India 13 466 3.4× 69 0.8× 24 0.4× 264 4.7× 28 0.5× 42 637
Ahmed Abdullah Alqarni Saudi Arabia 8 138 1.0× 103 1.2× 7 0.1× 65 1.2× 6 0.1× 19 350
Ayaz Hussain Pakistan 5 258 1.9× 170 2.0× 6 0.1× 118 2.1× 16 0.3× 6 430
Sandeep Chaurasia India 8 171 1.2× 141 1.7× 8 0.1× 55 1.0× 8 0.1× 28 378

Countries citing papers authored by Laboni Akter

Since Specialization
Citations

This map shows the geographic impact of Laboni Akter'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 Laboni Akter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laboni Akter more than expected).

Fields of papers citing papers by Laboni Akter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laboni Akter. 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 Laboni Akter. The network helps show where Laboni Akter may publish in the future.

Co-authorship network of co-authors of Laboni Akter

This figure shows the co-authorship network connecting the top 25 collaborators of Laboni Akter. A scholar is included among the top collaborators of Laboni Akter 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 Laboni Akter. Laboni Akter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Akter, Laboni, et al.. (2025). Treatment of refractory poly articular course juvenile idiopathic arthritis with tofacitinib: Extended experience from Bangladesh. PLoS ONE. 20(1). e0312174–e0312174. 2 indexed citations
2.
Raihan, M., Sami Azam, Laboni Akter, et al.. (2024). Risk Factors Categorizations of Ischemic Heart Disease in South-Western Bangladesh. Data Intelligence. 6(3). 834–868. 1 indexed citations
3.
Hassan, Md. Mehedi, et al.. (2023). Prospects and setbacks for migrating towards 5G wireless access in developing Bangladesh: A comparative study. The Journal of Engineering. 2023(10).
4.
Islam, Md. Monirul, et al.. (2023). Transfer learning architectures with fine-tuning for brain tumor classification using magnetic resonance imaging. SHILAP Revista de lepidopterología. 4. 100270–100270. 27 indexed citations
5.
Karim, Asif, et al.. (2021). Chronic Renal Disease Prediction using Clinical Data and Different Machine Learning Techniques. Trepo - Institutional Repository of Tampere University. 1–5. 3 indexed citations
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Raihan, M., et al.. (2021). A Comparative Analysis of Machine Learning Algorithms to Predict Liver Disease. Intelligent Automation & Soft Computing. 30(3). 917–928. 27 indexed citations
8.
Akter, Laboni, et al.. (2021). Dementia Identification for Diagnosing Alzheimer's Disease using XGBoost Algorithm. 205–209. 9 indexed citations
9.
Akter, Laboni, et al.. (2021). Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques. SN Computer Science. 2(3). 53 indexed citations
10.
Hassan, Md. Mehedi, Md. Mahedi Hassan, Laboni Akter, et al.. (2021). Efficient Prediction of Water Quality Index (WQI) Using Machine Learning Algorithms. SHILAP Revista de lepidopterología. 1(3-4). 86–86. 71 indexed citations
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Raihan, M., et al.. (2020). Breast Cancer Risk Prediction using XGBoost and Random Forest Algorithm. 1–4. 84 indexed citations
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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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