Shallu Sharma

772 total citations
20 papers, 490 citations indexed

About

Shallu Sharma is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Shallu Sharma has authored 20 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Computer Vision and Pattern Recognition and 10 papers in Artificial Intelligence. Recurrent topics in Shallu Sharma's work include Digital Imaging for Blood Diseases (9 papers), AI in cancer detection (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Shallu Sharma is often cited by papers focused on Digital Imaging for Blood Diseases (9 papers), AI in cancer detection (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Shallu Sharma collaborates with scholars based in India, Australia and United States. Shallu Sharma's co-authors include Rajesh Mehra, Sumit Kumar, Pravat K. Mandal, Eelandula Kumaraswamy, Manoj Sharma, Naresh Kumar, Pawan Kumar, Joseph C. Maroon, Deepika Shukla and S. J. Parvathi and has published in prestigious journals such as ACM Computing Surveys, Journal of Alzheimer s Disease and Neural Computing and Applications.

In The Last Decade

Shallu Sharma

18 papers receiving 466 citations

Peers

Shallu Sharma
Nisreen I. R. Yassin Egypt
Rahimeh Rouhi Italy
Sidratul Montaha Australia
Enas M. F. El Houby Egypt
Shiliang Ai China
Hiba Chougrad Morocco
Hamid Zouaki Morocco
Afsaneh Jalalian Iran
Nisreen I. R. Yassin Egypt
Shallu Sharma
Citations per year, relative to Shallu Sharma Shallu Sharma (= 1×) peers Nisreen I. R. Yassin

Countries citing papers authored by Shallu Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Shallu Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shallu Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Shallu Sharma. A scholar is included among the top collaborators of Shallu Sharma 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 Shallu Sharma. Shallu Sharma 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
1.
2.
Mandal, Pravat K., et al.. (2024). Iron Chelators and Alzheimer’s Disease Clinical Trials. Journal of Alzheimer s Disease. 100(s1). S243–S249. 2 indexed citations
3.
Sharma, Shallu, Sumit Kumar, Manoj Sharma, & Ashish Kalkal. (2024). An ensemble of deep CNNs for automatic grading of breast cancer in digital pathology images. Neural Computing and Applications. 36(11). 5673–5693. 5 indexed citations
4.
Sharma, Shallu, et al.. (2024). Enhancing Legal Document Summarization for Professionals: An Extractive Approach. 1–8. 1 indexed citations
5.
6.
Mandal, Pravat K., et al.. (2023). SWADESH: a multimodal multi-disease brain imaging and neuropsychological database and data analytics platform. Frontiers in Neurology. 14. 1258116–1258116. 2 indexed citations
7.
Sharma, Manoj, et al.. (2023). Medicinal plants recognition using heterogeneous leaf features: an intelligent approach. Multimedia Tools and Applications. 83(17). 51513–51540. 6 indexed citations
8.
Shukla, Deepika, Pravat K. Mandal, Veer Singh Mehta, et al.. (2023). Glutathione Depletion and Concomitant Elevation of Susceptibility in Patients with Parkinson’s Disease: State-of-the-Art MR Spectroscopy and Neuropsychological Study. ACS Chemical Neuroscience. 14(24). 4383–4394. 15 indexed citations
9.
Kumaraswamy, Eelandula, Shallu Sharma, & Sumit Kumar. (2022). A review on cancer detection strategies with help of biomedical images using machine learning techniques. AIP conference proceedings. 2418. 30064–30064. 11 indexed citations
10.
Sharma, Shallu, et al.. (2022). Comprehensive Account of Sodium Imaging and Spectroscopy for Brain Research. ACS Chemical Neuroscience. 13(7). 859–875. 5 indexed citations
11.
Sharma, Manoj, et al.. (2022). Assessment of Fine Particulate Matter for Port City of Eastern Peninsular India Using Gradient Boosting Machine Learning Model. Atmosphere. 13(5). 743–743. 11 indexed citations
12.
Sharma, Shallu & Pravat K. Mandal. (2022). A Comprehensive Report on Machine Learning-based Early Detection of Alzheimer's Disease using Multi-modal Neuroimaging Data. ACM Computing Surveys. 55(2). 1–44. 32 indexed citations
13.
Sharma, Shallu & Sumit Kumar. (2021). The Xception model: A potential feature extractor in breast cancer histology images classification. ICT Express. 8(1). 101–108. 84 indexed citations
14.
Kumar, Sumit & Shallu Sharma. (2021). Sub-classification of invasive and non-invasive cancer from magnification independent histopathological images using hybrid neural networks. Evolutionary Intelligence. 15(3). 1531–1543. 20 indexed citations
15.
Sharma, Shallu, et al.. (2021). Brain Stress Mapping in COVID-19 Survivors Using MR Spectroscopy: New Avenue of Mental Health Status Monitoring$. Journal of Alzheimer s Disease. 83(2). 523–530. 3 indexed citations
16.
Kumaraswamy, Eelandula, Shallu Sharma, & Sumit Kumar. (2021). Invasive Ductal Carcinoma Grade Classification in Histopathological Images using Transfer Learning Approach. 1–6. 5 indexed citations
17.
Sharma, Shallu & Rajesh Mehra. (2020). Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images—a Comparative Insight. Journal of Digital Imaging. 33(3). 632–654. 184 indexed citations
18.
Sharma, Shallu, Rajesh Mehra, & Sumit Kumar. (2020). Optimised CNN in conjunction with efficient pooling strategy for the multi‐classification of breast cancer. IET Image Processing. 15(4). 936–946. 26 indexed citations
19.
Sharma, Shallu & Rajesh Mehra. (2019). Implications of Pooling Strategies in Convolutional Neural Networks: A Deep Insight. Foundations of Computing and Decision Sciences. 44(3). 303–330. 35 indexed citations
20.
Sharma, Shallu & Rajesh Mehra. (2019). Effect of layer-wise fine-tuning in magnification-dependent classification of breast cancer histopathological image. The Visual Computer. 36(9). 1755–1769. 43 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Nisreen I. R. Yassin Breakdown of academic impact, for papers by Rahimeh Rouhi Breakdown of academic impact, for papers by Sidratul Montaha Breakdown of academic impact, for papers by Enas M. F. El Houby Breakdown of academic impact, for papers by Shiliang Ai Breakdown of academic impact, for papers by Hiba Chougrad Breakdown of academic impact, for papers by Hamid Zouaki Breakdown of academic impact, for papers by Afsaneh Jalalian
Rankless by CCL
2026