Prabal Datta Barua

6.1k total citations · 3 hit papers
167 papers, 3.9k citations indexed

About

Prabal Datta Barua is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Prabal Datta Barua has authored 167 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Cognitive Neuroscience, 37 papers in Artificial Intelligence and 33 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Prabal Datta Barua's work include EEG and Brain-Computer Interfaces (47 papers), ECG Monitoring and Analysis (22 papers) and COVID-19 diagnosis using AI (16 papers). Prabal Datta Barua is often cited by papers focused on EEG and Brain-Computer Interfaces (47 papers), ECG Monitoring and Analysis (22 papers) and COVID-19 diagnosis using AI (16 papers). Prabal Datta Barua collaborates with scholars based in Australia, Singapore and Türkiye. Prabal Datta Barua's co-authors include U. Rajendra Acharya, Şengül Doğan, Türker Tuncer, Filippo Molinari, Hui Wen Loh, Mehmet Bayğın, Chui Ping Ooi, Silvia Seoni, Elizabeth E. Palmer and Ru‐San Tan and has published in prestigious journals such as Scientific Reports, Applied Energy and Expert Systems with Applications.

In The Last Decade

Prabal Datta Barua

154 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)

2022 438 citations Chui Ping Ooi, Silvia Seoni et al. Computer Methods and Programs in Biomedicine profile →
Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)

2023 97 citations Silvia Seoni, Massimo Salvi et al. Computers in Biology and Medicine profile →
Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade

2023 76 citations Sonja March, Prabal Datta Barua et al. profile →

Peers

Countries citing papers authored by Prabal Datta Barua

Since Specialization

Citations

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

Fields of papers citing papers by Prabal Datta Barua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prabal Datta Barua. 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 Prabal Datta Barua. The network helps show where Prabal Datta Barua may publish in the future.

Co-authorship network of co-authors of Prabal Datta Barua

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	FLP: Factor lattice pattern-based automated detection of Parkinson's disease and specific language impairment using recorded speech 2024 ·Computers in Biology and Medicine ·Türker Tuncer, Şengül Doğan, Mehmet Bayğın, Prabal Datta Barua, Elizabeth E. Palmer, Sonja March, Edward J. Ciaccio, Ru‐San Tan, U. Rajendra Acharya	2
2	A lightweight deep convolutional neural network model for skin cancer image classification 2024 ·Applied Soft Computing ·Türker Tuncer, Prabal Datta Barua, (unknown), Şengül Doğan, U. Rajendra Acharya	15
3	Correction to: Automated facial expression recognition using exemplar hybrid deep feature generation technique 2024 ·Soft Computing ·Mehmet Bayğın, (unknown), Şengül Doğan, Prabal Datta Barua, Türker Tuncer, Kang Hao Cheong, U. Rajendra Acharya	1
4	Explainable artificial intelligence-machine learning models to estimate overall scores in tertiary preparatory general science course 2024 ·Computers and Education Artificial Intelligence ·Sujan Ghimire, Shahab Abdulla, Lionel Joseph, (unknown), Angela Murphy, (unknown), Prabal Datta Barua, Ravinesh C. Deo, U. Rajendra Acharya, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬	5
5	Artificial Intelligence-Based Suicide Prevention and Prediction: A Systematic Review (2019-2023) 2024 ·SSRN Electronic Journal ·(unknown), (unknown), Subrata Chakraborty, Silvia Seoni, Massimo Salvi, Abdul Hafeez‐Baig, (unknown), Ru‐San Tan, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya	3
6	Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022) 2023 ·Computer Methods and Programs in Biomedicine ·Shuting Xu, Ravinesh C. Deo, Jeffrey Soar, Prabal Datta Barua, Oliver Faust, Nusrat Homaira, Adam Jaffé, (unknown), U. Rajendra Acharya	5
7	Novel automated detection of sports activities using shadow videos 2023 ·Multimedia Tools and Applications ·Prabal Datta Barua, Türker Tuncer, Şengül Doğan, Chui Ping Ooi, U. Rajendra Acharya	1
8	Automated characterization and detection of fibromyalgia using slow wave sleep EEG signals with glucose pattern and D’hondt pooling technique 2023 ·Cognitive Neurodynamics ·(unknown), Nursena Bayğın, Yuki Hagiwara, (unknown), Thomas Iype, Prabal Datta Barua, Joel E.W. Koh, Mehmet Bayğın, Şengül Doğan, Türker Tuncer, U. Rajendra Acharya	6
9	An accurate automated speaker counting architecture based on James Webb Pattern 2023 ·Engineering Applications of Artificial Intelligence ·Prabal Datta Barua, (unknown), (unknown), (unknown), Şengül Doğan, Mehmet Bayğın, (unknown), Türker Tuncer, Ru‐San Tan, Hamido Fujita, U. Rajendra Acharya	4
10	A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images 2023 ·IEEE Access ·(unknown), U. Raghavendra, Anjan Gudigar, (unknown), Massimo Salvi, Ravinesh C. Deo, Prabal Datta Barua, Edward J. Ciaccio, Filippo Molinari, U. Rajendra Acharya	7
11	NFSDense201: microstructure image classification based on non-fixed size patch division with pre-trained DenseNet201 layers 2023 ·Neural Computing and Applications ·Prabal Datta Barua, Şengül Doğan, (unknown), Türker Tuncer, Ru‐San Tan, U. Rajendra Acharya	3
12	YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images 2023 ·IEEE Access ·(unknown), U. Raghavendra, Anjan Gudigar, (unknown), (unknown), Ajay Hegde, Girish Menon, Prabal Datta Barua, Massimo Salvi, Edward J. Ciaccio, Filippo Molinari, U. Rajendra Acharya	5
13	CGP17Pat: Automated Schizophrenia Detection Based on a Cyclic Group of Prime Order Patterns Using EEG Signals 2022 ·Healthcare ·Emrah Aydemir, Şengül Doğan, Mehmet Bayğın, Chui Ping Ooi, Prabal Datta Barua, Türker Tuncer, U. Rajendra Acharya	31
14	A Hand-Modeled Feature Extraction-Based Learning Network to Detect Grasps Using sEMG Signal 2022 ·Sensors ·Mehmet Bayğın, Prabal Datta Barua, Şengül Doğan, Türker Tuncer, (unknown), U. Rajendra Acharya, Kang Hao Cheong	25
15	Hamlet-Pattern-Based Automated COVID-19 and Influenza Detection Model Using Protein Sequences 2022 ·Diagnostics ·(unknown), (unknown), (unknown), Niranjana Sampathila, G. Muralidhar Bairy, Emrah Aydemir, Prabal Datta Barua, Mehmet Bayğın, (unknown), Şengül Doğan, Türker Tuncer	4
16	EPSPatNet86: eight-pointed star pattern learning network for detection ADHD disorder using EEG signals 2022 ·Physiological Measurement ·(unknown), Prabal Datta Barua, Şengül Doğan, Türker Tuncer, Elizabeth E. Palmer, Edward J. Ciaccio, U. Rajendra Acharya	17
17	Notice of Removal: Automated Triaging Medical Referral for Otorhinolaryngology Using Data Mining and Machine Learning Techniques 2022 ·IEEE Access ·(unknown), Xujuan Zhou, Raj Gururajan, Xiaohui Tao, Jennifer Chen, Rashmi Gururajan, (unknown), Prabal Datta Barua	4
18	ViVGG19: Novel exemplar deep feature extraction-based shoulder rotator cuff tear and biceps tendinosis detection using magnetic resonance images 2022 ·Medical Engineering & Physics ·(unknown), (unknown), (unknown), Erhan Yılmaz, Prabal Datta Barua, Şengül Doğan, Türker Tuncer, N. Arunkumar, Ru‐San Tan, U. Rajendra Acharya	13
19	Role of Artificial Intelligence in COVID-19 Detection 2021 ·Sensors ·Anjan Gudigar, U. Raghavendra, (unknown), Chui Ping Ooi, Wai Yee Chan, (unknown), (unknown), (unknown), Nahrizul Adib Kadri, Khairunnisa Hasikin‬, Prabal Datta Barua, Subrata Chakraborty, Edward J. Ciaccio, U. Rajendra Acharya	34
20	Multilevel Deep Feature Generation Framework for Automated Detection of Retinal Abnormalities Using OCT Images 2021 ·Entropy ·Prabal Datta Barua, Wai Yee Chan, Şengül Doğan, Mehmet Bayğın, Türker Tuncer, Edward J. Ciaccio, (unknown), Kang Hao Cheong, (unknown), U. Rajendra Acharya	28

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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