Arnisha Akhter

1.4k total citations · 2 hit papers
19 papers, 776 citations indexed

About

Arnisha Akhter is a scholar working on Artificial Intelligence, Health Information Management and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Arnisha Akhter has authored 19 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Health Information Management and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Arnisha Akhter's work include Machine Learning in Healthcare (4 papers), Artificial Intelligence in Healthcare (4 papers) and COVID-19 diagnosis using AI (4 papers). Arnisha Akhter is often cited by papers focused on Machine Learning in Healthcare (4 papers), Artificial Intelligence in Healthcare (4 papers) and COVID-19 diagnosis using AI (4 papers). Arnisha Akhter collaborates with scholars based in Bangladesh, Australia and Saudi Arabia. Arnisha Akhter's co-authors include Md. Ashraf Uddin, Md. Manowarul Islam, Md. Alamin Talukder, Mohammad Ali Moni, Khondokar Fida Hasan, Bikash Kumar Paul, Mohammad Abu Yousuf, Sunil Aryal, Mohammad Ali Abdullah Almoyad and Shahadat Uddin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Arnisha Akhter

19 papers receiving 742 citations

Hit Papers

Machine learning-based lung and colon cancer detection us... 2022 2026 2023 2024 2022 2023 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning
    2022 176 citations Md. Alamin Talukder, Md. Manowarul Islam et al. Expert Systems with Applications profile →
  2. An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning
    2023 106 citations Md. Alamin Talukder, Md. Manowarul Islam et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnisha Akhter Bangladesh 12 416 222 136 128 121 19 776
Sandeep Kumar Mathivanan India 17 310 0.7× 216 1.0× 244 1.8× 272 2.1× 62 0.5× 99 929
J. Samuel Manoharan India 13 214 0.5× 127 0.6× 205 1.5× 44 0.3× 39 0.3× 35 607
Ahmad Waleed Salehi India 10 189 0.5× 148 0.7× 97 0.7× 116 0.9× 59 0.5× 14 535
Kamred Udham Singh India 15 165 0.4× 111 0.5× 245 1.8× 69 0.5× 40 0.3× 114 720
U. John Tanik United States 8 226 0.5× 131 0.6× 191 1.4× 195 1.5× 56 0.5× 23 648
S. Phani Praveen India 14 203 0.5× 61 0.3× 134 1.0× 24 0.2× 80 0.7× 53 685
Sidra Abbas Pakistan 14 303 0.7× 80 0.4× 99 0.7× 81 0.6× 59 0.5× 29 714
Abeer Saber Egypt 13 408 1.0× 222 1.0× 156 1.1× 142 1.1× 33 0.3× 24 694
Mohamed K. Nour Saudi Arabia 14 205 0.5× 104 0.5× 149 1.1× 116 0.9× 33 0.3× 66 573
Laxman Singh India 13 154 0.4× 129 0.6× 186 1.4× 40 0.3× 53 0.4× 52 481

Countries citing papers authored by Arnisha Akhter

Since Specialization
Citations

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

Fields of papers citing papers by Arnisha Akhter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnisha Akhter

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

All Works

19 of 19 papers shown
1.
Islam, Md. Manowarul, et al.. (2024). Utilizing Deep Feature Fusion for Automatic Leukemia Classification: An Internet of Medical Things-Enabled Deep Learning Framework. Sensors. 24(13). 4420–4420. 5 indexed citations
2.
3.
Uddin, Khandaker Mohammad Mohi, et al.. (2024). Machine learning and deep learning-based approach to categorize Bengali comments on social networks using fused dataset. PLoS ONE. 19(10). e0308862–e0308862. 1 indexed citations
4.
Islam, Md. Manowarul, Md. Alamin Talukder, Md. Ashraf Uddin, Arnisha Akhter, & Majdi Khalid. (2024). BrainNet: Precision Brain Tumor Classification with Optimized EfficientNet Architecture. International Journal of Intelligent Systems. 2024(1). 33 indexed citations
5.
6.
Talukder, Md. Alamin, Md. Manowarul Islam, Md. Ashraf Uddin, et al.. (2024). Toward reliable diabetes prediction: Innovations in data engineering and machine learning applications. Digital Health. 10. 599915579–599915579. 15 indexed citations
7.
Akhter, Arnisha, Uzzal Kumar Acharjee, Md. Alamin Talukder, Md. Manowarul Islam, & Md. Ashraf Uddin. (2023). A robust hybrid machine learning model for Bengali cyber bullying detection in social media. 4. 100027–100027. 38 indexed citations
8.
Uddin, Md. Ashraf, et al.. (2023). Machine Learning Based Diabetes Detection Model for False Negative Reduction. Biomedical Materials & Devices. 2(1). 427–443. 27 indexed citations
9.
10.
Talukder, Md. Alamin, Md. Manowarul Islam, Md. Ashraf Uddin, et al.. (2023). An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning. Expert Systems with Applications. 230. 120534–120534. 106 indexed citations breakdown →
11.
Islam, Md. Manowarul, et al.. (2023). A deep learning model for cotton disease prediction using fine-tuning with smart web application in agriculture. Intelligent Systems with Applications. 20. 200278–200278. 34 indexed citations
12.
Talukder, Md. Alamin, Md. Manowarul Islam, Md. Ashraf Uddin, et al.. (2022). Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning. Expert Systems with Applications. 205. 117695–117695. 176 indexed citations breakdown →
13.
Talukder, Md. Alamin, Khondokar Fida Hasan, Md. Manowarul Islam, et al.. (2022). A dependable hybrid machine learning model for network intrusion detection. Journal of Information Security and Applications. 72. 103405–103405. 82 indexed citations
14.
Rahman, Md. Ataur, et al.. (2022). Automatic driver distraction detection using deep convolutional neural networks. Intelligent Systems with Applications. 14. 200075–200075. 42 indexed citations
15.
Uddin, Md. Ashraf, Arnisha Akhter, Bikash Kumar Paul, et al.. (2021). A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images. Computers in Biology and Medicine. 139. 105014–105014. 90 indexed citations
16.
Islam, Md. Manowarul, et al.. (2021). Machine learning based diabetes prediction and development of smart web application. SHILAP Revista de lepidopterología. 2. 229–241. 93 indexed citations
17.
Akhter, Arnisha, et al.. (2019). Cyber Bullying Detection and Classification using Multinomial Naïve Bayes and Fuzzy Logic. 5(4). 1–12. 10 indexed citations
18.
Akhter, Arnisha, et al.. (2016). Noise aware level based routing protocol for underwater sensor networks. 169–174. 4 indexed citations
19.
Akhter, Arnisha, et al.. (2016). Design of parity preserving reversible sequential circuits. 4. 1022–1027. 1 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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