Shams Nafisa Ali

545 total citations
8 papers, 228 citations indexed

About

Shams Nafisa Ali is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Shams Nafisa Ali has authored 8 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 3 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Molecular Biology. Recurrent topics in Shams Nafisa Ali's work include Phonocardiography and Auscultation Techniques (2 papers), Retinal and Optic Conditions (1 paper) and Retinal Imaging and Analysis (1 paper). Shams Nafisa Ali is often cited by papers focused on Phonocardiography and Auscultation Techniques (2 papers), Retinal and Optic Conditions (1 paper) and Retinal Imaging and Analysis (1 paper). Shams Nafisa Ali collaborates with scholars based in Bangladesh, United States and Yemen. Shams Nafisa Ali's co-authors include Abdu Gumaei, Mabrook Al‐Rakhami, Taufiq Hasan, Anwarul Hasan, Tanvir Mahmud, Shaikh Anowarul Fattah, Mohammad Saquib, Yeong Min Jang and Fiaz Ahmed and has published in prestigious journals such as IEEE Access, IEEE Transactions on Industrial Informatics and Biomedical Signal Processing and Control.

In The Last Decade

Shams Nafisa Ali

8 papers receiving 215 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shams Nafisa Ali Bangladesh 6 104 69 46 38 25 8 228
Ade Iriani Sapitri Indonesia 10 67 0.6× 143 2.1× 73 1.6× 57 1.5× 11 0.4× 38 344
Vijaya Kumar Koppula India 8 69 0.7× 54 0.8× 72 1.6× 43 1.1× 8 0.3× 16 205
Qunfeng Tang China 9 34 0.3× 185 2.7× 66 1.4× 56 1.5× 9 0.4× 16 311
Aysen Degerli Finland 7 30 0.3× 49 0.7× 162 3.5× 84 2.2× 10 0.4× 12 237
M. Antunes Portugal 9 35 0.3× 185 2.7× 12 0.3× 19 0.5× 21 0.8× 18 249
Yaseen Yaseen South Korea 4 242 2.3× 106 1.5× 9 0.2× 12 0.3× 6 0.2× 13 293
Kranthi Kumar Lella India 8 124 1.2× 7 0.1× 143 3.1× 77 2.0× 7 0.3× 25 313
Dianwen Ng Singapore 8 26 0.3× 22 0.3× 85 1.8× 151 4.0× 3 0.1× 23 258
Guilherme Silva Brazil 6 33 0.3× 132 1.9× 166 3.6× 111 2.9× 6 0.2× 18 333
Rong Tao China 7 8 0.1× 50 0.7× 53 1.2× 22 0.6× 28 1.1× 19 245

Countries citing papers authored by Shams Nafisa Ali

Since Specialization
Citations

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

Fields of papers citing papers by Shams Nafisa Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shams Nafisa Ali. 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 Shams Nafisa Ali. The network helps show where Shams Nafisa Ali may publish in the future.

Co-authorship network of co-authors of Shams Nafisa Ali

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

All Works

8 of 8 papers shown
1.
2.
Ali, Shams Nafisa, et al.. (2024). A web-based mpox skin lesion detection system using state-of-the-art deep learning models considering racial diversity. Biomedical Signal Processing and Control. 98. 106742–106742. 31 indexed citations
3.
Ali, Shams Nafisa, et al.. (2023). An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise. IEEE Access. 11. 87887–87901. 28 indexed citations
4.
Ali, Shams Nafisa, et al.. (2021). CardioXNet: A Novel Lightweight Deep Learning Framework for Cardiovascular Disease Classification Using Heart Sound Recordings. IEEE Access. 9. 36955–36967. 122 indexed citations
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Mahmud, Tanvir, et al.. (2020). CovTANet: A Hybrid Tri-Level Attention-Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans. IEEE Transactions on Industrial Informatics. 17(9). 6489–6498. 31 indexed citations
8.

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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2026