2026 Nilanjan Dey: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	72	1683	1631	14	14	628	20153

Overview

Nilanjan Dey is affiliated with Techno International New Town in India and has an extensive research profile primarily in computer science, engineering, and medicine. Their scholarly output spans a wide range of topics with a particular focus on artificial intelligence, computer vision, and medical imaging.

Their main fields of study include:

Computer Science
Engineering
Medicine

The subfields of study where Nilanjan Dey has significant publications are:

Artificial Intelligence
Computer Vision and Pattern Recognition
Computer Networks and Communications
Radiology, Nuclear Medicine and Imaging
Biomedical Engineering

The major research topics covered in their work include:

IoT and Edge/Fog Computing
COVID-19 diagnosis using AI
AI in cancer detection
UAV Applications and Optimization
Radiomics and Machine Learning in Medical Imaging
Energy Efficient Wireless Sensor Networks
EEG and Brain-Computer Interfaces

Nilanjan Dey's recent papers feature contributions to COVID-19 detection, deep learning methods, and medical image analysis, including:

Customized VGG19 Architecture for Pneumonia Detection in Chest X-Rays (2021, Pattern Recognition Letters)
Challenges of Deep Learning in Medical Image Analysis-Improving Explainability and Trust (2023, IEEE Transactions on Technology and Society)
Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction (2020, Institutional Repository of the University of Granada)
Forecasting Models for Coronavirus Disease (COVID-19): A Survey of the State-of-the-Art (2020, SN Computer Science)
Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices (2020, Applied Intelligence)

Frequent coauthors collaborating with Nilanjan Dey include:

Amartya Mukherjee
Soumi Majumder
Rubén González Crespo
Bitan Misra
R. Simon Sherratt

Their publications have appeared repeatedly in several venues, including:

arXiv (Cornell University)
Applied Soft Computing
International Journal of Interactive Multimedia and Artificial Intelligence
Multimedia Tools and Applications
Computer Communications

Nilanjan Dey has also contributed to book publications primarily through Springer Nature and Springer International Publishing, with a total of 19 books for the former and 15 for the latter. Some notable book titles include:

Nature Inspired Computing for Wireless Sensor Networks (2020)
Machine Learning Algorithms for Industrial Applications (2020)
Artificial Intelligence for Coronavirus Outbreak (2020)
AI-Empowered Knowledge Management in Education (2024)
Security and Privacy Applications for Smart City Development (2020)
AI-empowered Knowledge Management (2022)

Other publishers with which Nilanjan Dey has published include Data-intensive Research and Innovations in Sustainable Technologies and Computing.

Best Publications

A survey of image classification methods and techniques

Unknown

563
Citations
Particle swarm optimization trained neural network for structural failure prediction of multistoried RC buildings

Sankhadeep Chatterjee;Sarbartha Sarkar;Sirshendu Hore;Nilanjan Dey

338
Citations
Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices

Sakshi Ahuja;Bijaya Ketan Panigrahi;Nilanjan Dey;Venkatesan Rajinikanth

333
Citations
Developing residential wireless sensor networks for ECG healthcare monitoring

Nilanjan Dey;Amira S. Ashour;Fuqian Shi;Simon James Fong

297
Citations
Forecasting Models for Coronavirus Disease (COVID-19): A Survey of the State-of-the-Art

Gitanjali Rahul Shinde;Asmita B. Kalamkar;Parikshit N. Mahalle;Parikshit N. Mahalle;Nilanjan Dey

291
Citations
A Survey of Data Mining and Deep Learning in Bioinformatics

Kun Lan;Dan-tong Wang;Simon Fong;Liansheng Liu

281
Citations
Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

Nilanjan Dey;Aboul Ella Hassanien;Chintan Bhatt;Amira S. Ashour

277
Citations
Multi-level image thresholding using Otsu and chaotic bat algorithm

Suresh Chandra Satapathy;N. Sri Madhava Raja;V. Rajinikanth;Amira S. Ashour

234
Citations
Medical cyber-physical systems: A survey.

Nilanjan Dey;Amira S. Ashour;Fuqian Shi;Simon James Fong

231
Citations
Internet of Things and Big Data Technologies for Next Generation Healthcare

Chintan Bhatt;Nilanjan Dey;Amira S. Ashour

228
Citations
Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak

Simon James Fong;Gloria Li;Nilanjan Dey;Rubén Gonzalez-Crespo

219
Citations
Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction.

Simon James Fong;Gloria Li;Nilanjan Dey;Rubén González Crespo

218
Citations
Adaptive thresholding: A comparative study

Unknown

209
Citations
Customized VGG19 Architecture for Pneumonia Detection in Chest X-Rays

Nilanjan Dey;Yu-Dong Zhang;V. Rajinikanth;R. Pugalenthi

202
Citations
Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak

Simon James Fong;Gloria Li;Nilanjan Dey;Rubén González Crespo

198
Citations
Design of a proportional-integral-derivative controller for an automatic generation control of multi-area power thermal systems using firefly algorithm

K. Jagatheesan;B. Anand;Sourav Samanta;Nilanjan Dey

188
Citations
Improved Cuckoo Search and Chaotic Flower Pollination optimization algorithm for maximizing area coverage in Wireless Sensor Networks

Huynh Thi Thanh Binh;Nguyen Thi Hanh;La Van Quan;Nilanjan Dey

163
Citations
Contrast enhanced medical MRI evaluation using Tsallis entropy and region growing segmentation

N. Sri Madhava Raja;S. L. Fernandes;Nilanjan Dey;Suresh Chandra Satapathy

159
Citations
Social Group Optimization Supported Segmentation and Evaluation of Skin Melanoma Images

Nilanjan Dey;Venkatesan Rajinikanth;Amira S. Ashour;João Manuel R. S. Tavares

157
Citations
Optimisation of scaling factors in electrocardiogram signal watermarking using cuckoo search

Nilanjan Dey;Sourav Samanta;Xin-She Yang;Achintya Das

151
Citations
Internet of Things Based Wireless Body Area Network in Healthcare

G. Elhayatmy;Nilanjan Dey;Amira S. Ashour

147
Citations
Automated stratification of liver disease in ultrasound

Luca Saba;Nilanjan Dey;Amira S. Ashour;Sourav Samanta

142
Citations

Frequent Co-Authors

Amira S. Ashour Tanta University

Simon Fong University of Macau

Venkatesan Rajinikanth Saveetha University

Aboul Ella Hassanien Cairo University

Suresh Chandra Satapathy KIIT University

João Manuel R. S. Tavares University of Porto

Jasjit S. Suri University of Idaho

Anjan Biswas Grambling State University

Rajesh Kumar University of Johannesburg

Bijaya Ketan Panigrahi Indian Institute of Technology Delhi

External Links

Personal website of Nilanjan Dey Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring a computer science degree online can open doors to several interconnected fields and flexible career options. Today, many students are choosing a fast track computer science degree to quickly launch their tech careers or upskill efficiently, while balancing work or family commitments.

Beyond core programming or software jobs, you might wonder what jobs can you get with an environmental science degree. These fields often overlap, especially in roles related to data analysis, sustainability technology, or green computing.

Those with technical backgrounds can combine interests in technology and environment, for example, by pursuing an environmental engineer degree online or expanding skills with the cheapest online master's mechanical engineering.

These flexible study options make it easier for professionals and students to advance their education, specialize, and access diverse career pathways—both inside and beyond traditional computer science jobs.