Tausif Diwan

2.1k citations

26 papers · 1.2k indexed · 1 hit paper · h-index 9

Computer Vision and Pattern Recognition top 2%
Artificial Intelligence top 5%
- AI in cancer detection 6
- Sentiment Analysis and Opinion Mining 4
- Topic Modeling 4
Oncology top 10%
Industrial and Manufacturing Engineering top 5%
Media Technology top 5%
Neurology
- Brain Tumor Detection and Classification 8
Radiology, Nuclear Medicine and Imaging
- COVID-19 diagnosis using AI 4
- Radiomics and Machine Learning in Medical Imaging 3
- Retinal Imaging and Analysis 3
Health Information Management
- Artificial Intelligence in Healthcare 3

Co-authors: Jitendra V. Tembhurne Saket S. Chaturvedi Hemprasad Yashwant Patil Parul Sahare Saroj K. Panda O. G. Kakde Tarun Saxena Raghav Agarwal
Cited by: Computer Vision and Pattern Recognition Artificial Intelligence Oncology
Journals: IEEE Access (1 paper)Biomedical Signal Processing and Control (1 paper)Multimedia Tools and Applications (10 papers)
Partner nations: India

In The Last Decade

Tausif Diwan

21 papers receiving 1.1k citations

Hit Papers

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Peers

Countries citing papers authored by Tausif Diwan

Since Specialization

Citations

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

Fields of papers citing papers by Tausif Diwan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 9 scholars most cited alongside Tausif Diwan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tausif Diwan Line = papers co-authored together Tausif Diwan links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	SH-StNN: prognostication of Alzheimer’s disease based on search and hunt-based stacked deep convolutional neural network Cognitive Neurodynamics ·Umakant Mandawkar,Tausif Diwan	2025	0
2	Meta-Transformers: A Hybrid Approach for Medical Image Segmentation With U-Net and Meta-Learning IEEE Access ·Neha Tirpude,Tausif Diwan,Meera Dhabu	2025	0
3	An Empirical Survey on the Classification Strategies for Automated Alzheimer’s Disease SN Computer Science ·Umakant Mandawkar,Tausif Diwan	2024	0
4	Ensemble activation enabled deep classifier for Alzheimer's disease detection in the blockchain-enabled distributed edge environment International Journal of Information Technology ·Umakant Mandawkar,Tausif Diwan	2024	6
5	Early detection of stroke disease using patients previous medical data instil with deep learning Multimedia Tools and Applications ·Tausif Diwan,Saurav M. Gajbhiye,Purva R. Goydani,Vedant R. Gannarpwar,Harshal R. Khandait,Jitendra V. Tembhurne,Parul Sahare	2024	2
6	Differently processed modality and appropriate model selection lead to richer representation of the multimodal input International Journal of Information Technology ·Saroj K. Panda,Tausif Diwan,O. G. Kakde	2024	2
7	An Optimal Weighted Ensemble of 3D CNNs for Early Diagnosis of Alzheimer’s Disease SN Computer Science ·Sriram Dharwada,Jitendra V. Tembhurne,Tausif Diwan	2024	6
8	Hybrid cuttle Fish-Grey wolf optimization tuned weighted ensemble classifier for Alzheimer’s disease classification Biomedical Signal Processing and Control ·Umakant Mandawkar,Tausif Diwan	2024	5
9	Design of a Novel Enhanced Machine Learning Model for Early Prediction of Cerebral Stroke Early Prediction of Brain Stroke International Journal of Computing and Digital Systems ·Snehal Shinde,Manish P. Kurhekar,Tausif Diwan,Nileshchandra Kalbarao Pikle,Monali Gulhane	2024	2
10	Personalized federated learning for the detection of COVID-19 Multimedia Tools and Applications ·Dharwada Sesha Sriram,Aseem Ranjan,Vedant Ghuge,Naveen Rathore,Raghav Agarwal,Tausif Diwan,Jitendra V. Tembhurne	2023	1
11	Plant disease detection using deep learning based Mobile application Multimedia Tools and Applications ·Jitendra V. Tembhurne,Saurav M. Gajbhiye,Vedant R. Gannarpwar,Harshal R. Khandait,Purva R. Goydani,Tausif Diwan	2023	15
12	Skin cancer detection using ensemble of machine learning and deep learning techniques Multimedia Tools and Applications ·Jitendra V. Tembhurne,Nachiketa Hebbar,Hemprasad Yashwant Patil,Tausif Diwan	2023	80
13	Improvised light weight deep CNN based U-Net for the semantic segmentation of lungs from chest X-rays Results in Engineering ·Shreya Arvind,Jitendra V. Tembhurne,Tausif Diwan,Parul Sahare	2023	37
14	Object detection using YOLO: challenges, architectural successors, datasets and applicationsbreakdown → Multimedia Tools and Applications ·Tausif Diwan,G. Anirudh,Jitendra V. Tembhurne	2022	687
15	Improvised detection of deepfakes from visual inputs using light weight deep ensemble model Multimedia Tools and Applications ·Saroj K. Panda,Tausif Diwan,O. G. Kakde,Jitendra V. Tembhurne	2022	3
16	Alzheimer disease classification using tawny flamingo based deep convolutional neural networks via federated learning The Imaging Science Journal ·Umakant Mandawkar,Tausif Diwan	2022	4
17	Mc-DNN International Journal on Semantic Web and Information Systems ·Jitendra V. Tembhurne,Md. Moin Almin,Tausif Diwan	2022	74
18	A multi-class skin Cancer classification using deep convolutional neural networks Multimedia Tools and Applications ·Saket S. Chaturvedi,Jitendra V. Tembhurne,Tausif Diwan	2020	190
19	Survey on Tweet Segmentation and Sentiment Analysis International Journal of Computer Sciences and Engineering ·Saniya Ansari,Tausif Diwan	2018	0
20	A Generalized Strategy for Parallelization of Non-Serial Polyadic Dynamic Programming on Multicore and Manycore Advanced Science Letters ·Tausif Diwan,S. R. Sathe	2017	2

About Tausif Diwan

Tausif Diwan is a scholar working on Neurology, Health Information Management and Artificial Intelligence, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (8 papers), AI in cancer detection (6 papers), Sentiment Analysis and Opinion Mining (4 papers), Topic Modeling (4 papers), COVID-19 diagnosis using AI (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Artificial Intelligence in Healthcare (3 papers) and Retinal Imaging and Analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (374 citations), Artificial Intelligence (356 citations) and Oncology (238 citations). Tausif Diwan has collaborated with scholars based in India. Frequent co-authors include Jitendra V. Tembhurne, Saket S. Chaturvedi, Hemprasad Yashwant Patil, Parul Sahare, Saroj K. Panda, O. G. Kakde, Tarun Saxena, Raghav Agarwal and Manish P. Kurhekar. Their work appears in journals such as IEEE Access, Biomedical Signal Processing and Control and Multimedia Tools and Applications.

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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