Sunanda Das

1.4k total citations
43 papers, 739 citations indexed

About

Sunanda Das is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Sunanda Das has authored 43 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 7 papers in Health Information Management. Recurrent topics in Sunanda Das's work include Digital Imaging for Blood Diseases (9 papers), Artificial Intelligence in Healthcare (7 papers) and Anomaly Detection Techniques and Applications (7 papers). Sunanda Das is often cited by papers focused on Digital Imaging for Blood Diseases (9 papers), Artificial Intelligence in Healthcare (7 papers) and Anomaly Detection Techniques and Applications (7 papers). Sunanda Das collaborates with scholars based in Bangladesh, India and United Kingdom. Sunanda Das's co-authors include Hui Wang, Abdullah G. Alharbi, Mirza Mohd Shahriar Maswood, Md. Ashraful Alam, Md. Kamrul Hasan, Aishwariya Dutta, Shidhartho Roy, Md. Tasnim Jawad, Ashok Pandey and Nazmul Siddique and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and BMJ Open.

In The Last Decade

Sunanda Das

38 papers receiving 696 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunanda Das Bangladesh 12 197 193 141 126 71 43 739
Seung Min Park South Korea 17 82 0.4× 106 0.5× 65 0.5× 17 0.1× 8 0.1× 146 1.1k
Huihua Yang China 19 482 2.4× 330 1.7× 69 0.5× 47 0.4× 8 0.1× 88 1.1k
Zhaoyi Chen United States 18 91 0.5× 224 1.2× 26 0.2× 8 0.1× 3 0.0× 64 1.3k
Manal Alghamdi Saudi Arabia 19 409 2.1× 471 2.4× 67 0.5× 13 0.1× 15 0.2× 44 1.1k
Suneet Gupta India 18 247 1.3× 188 1.0× 43 0.3× 7 0.1× 11 0.2× 42 1.4k
Thierry Moreau France 22 392 2.0× 336 1.7× 22 0.2× 118 0.9× 2 0.0× 53 1.6k
Stephen Bonner United Kingdom 17 101 0.5× 161 0.8× 17 0.1× 16 0.1× 9 0.1× 54 1.1k
Youngho Lee South Korea 16 59 0.3× 199 1.0× 10 0.1× 10 0.1× 15 0.2× 57 759
Muhammad Aamir Pakistan 17 342 1.7× 203 1.1× 362 2.6× 8 0.1× 7 0.1× 69 787
Jyotismita Chaki India 18 280 1.4× 359 1.9× 96 0.7× 3 0.0× 10 0.1× 49 1.3k

Countries citing papers authored by Sunanda Das

Since Specialization
Citations

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

Fields of papers citing papers by Sunanda Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunanda Das

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

All Works

20 of 20 papers shown
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Das, Sunanda, et al.. (2025). Attention enabled precise haemoglobin prediction: A GNN based non-invasive approach. Biomedical Signal Processing and Control. 105. 107604–107604. 1 indexed citations
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Das, Sunanda, et al.. (2024). DIA-VXNET: A framework for automated diabetic eye disease detection using transfer learning with feature fusion network. Biomedical Signal Processing and Control. 100. 106907–106907. 6 indexed citations
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Das, Sunanda, et al.. (2024). A Voting Approach for Heart Sounds Classification Using Discrete Wavelet Transform and CNN Architecture. SN Computer Science. 5(2). 1 indexed citations
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Das, Sunanda, et al.. (2023). Dual mode information fusion with pre-trained CNN models and transformer for video-based non-invasive anaemia detection. Biomedical Signal Processing and Control. 88. 105592–105592. 2 indexed citations
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Das, Sunanda, et al.. (2023). Smartphone-based non-invasive haemoglobin level estimation by analyzing nail pallor. Biomedical Signal Processing and Control. 85. 104959–104959. 12 indexed citations
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Das, Sunanda, et al.. (2022). Non-invasive Haemoglobin Estimation by Observing Nail Color: A PCA based Approach. 1–5. 5 indexed citations
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Hasan, Md. Kamrul, Md. Ashraful Alam, Shidhartho Roy, et al.. (2021). Missing value imputation affects the performance of machine learning: A review and analysis of the literature (2010–2021). Informatics in Medicine Unlocked. 27. 100799–100799. 81 indexed citations
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Maswood, Mirza Mohd Shahriar, et al.. (2021). BHyPreC: A Novel Bi-LSTM Based Hybrid Recurrent Neural Network Model to Predict the CPU Workload of Cloud Virtual Machine. IEEE Access. 9. 131476–131495. 67 indexed citations
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Das, Sunanda, et al.. (2021). Heart Disease Prediction using Synthetic Minority Oversampling Technique and Soft Voting. 1–6. 4 indexed citations
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Jain, Hemant, et al.. (2020). Will the COVID-19 Pandemic have a Silver Lining? An Indian Perspective. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. 1 indexed citations
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Das, Sunanda, et al.. (2019). A Detailed Study on Bangladeshi Road Sign Detection and Recognition. 1–6. 5 indexed citations
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Niraula, Surya Raj, S. K. Mishra, Sushma Dahal, et al.. (2013). Prevalence and associated risk factors with malnutrition among under-five Nepalese children of Borbote village, Ilam. Health Renaissance. 11(2). 111–118. 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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