Mohana

2.8k citations

94 papers · 1.6k indexed · 1 hit paper · h-index 22

Impact in

Computer Vision and Pattern Recognition top 1%
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Media Technology top 2%
- Vehicle License Plate Recognition

Papers in

Computer Vision and Pattern Recognition 48
- Video Surveillance and Tracking Methods 30
- Advanced Neural Network Applications 17
Artificial Intelligence 24
- Anomaly Detection Techniques and Applications 12

Co-authors: H. V. Ravish Aradhya R Meghana SM Apoorva Ayush Jain G Divya Harsh Jain Vikram Aditya Naman Jain
Journals: IEEE Access (2 papers)International Journal of Advanced Computer Science and Applications (1 paper)2022 International Conference on Computer Communication and Informatics (ICCCI) (1 paper)2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS) (1 paper)2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA) (1 paper)
Partner nations: India United Kingdom Slovakia

In The Last Decade

Mohana

74 papers receiving 1.3k citations

Hit Papers

align trajectories log scale

Feature Extraction using Convolution Neural Networks (CNN) and Deep Learning 2018 · 320 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2018 Feature Extraction using Convolution Neural Networks (CNN) and Deep Learning

Peers

Countries citing papers authored by Mohana

Since Specialization

Citations

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

Fields of papers citing papers by Mohana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Mohana, 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 Mohana Line = papers co-authored together Mohana links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Deepfake Image and Video Detection Using Deep Learning Algorithms S. Srinivasan, H. Park, Chui-Fen Teoh, Mohana	2025	0
2	Temporal Analysis and Common Weakness Enumeration (CWE) Code Prediction for Software Vulnerabilities Using Machine Learning Bin Song, Christopher Marsh, 榎芳子, N.S. Reddy, Minal Moharir, Mohana	2024	0
3	Robust Brain Tumor Classification of MRI Images Using Deep Learning via InceptionResNetV2 Panel On Genetically Modified Organisms, Chang Shook Lee, Muhammad Siddiqui, Mohana, Rosiane Araújo Ferreira, K. Geetha	2024	1
4	Analysis of Fake News Detection using Graph Neural Network (GNN) and Deep Learning Iryna Kovalchuk, Kerstin Haraldson, Mohana	2023	1
5	Real Time Network Traffic Analysis Using Artificial Intelligence, Machine Learning and Deep Learning: A Review of Methods, Tools and Applications Mohanad E. Khider, Shruti Singh, Mohana, Minal Moharir, Sérgio Palma Mário	2023	5
6	Jenkins Pipelines: A Novel Approach to Machine Learning Operations (MLOps) 2022 International Conference on Edge Computing and Applications (ICECAA) ·W. Susse, Mohana	2022	8
7	Design of Artificial Intelligence (AI) based User Experience Websites for E-commerce Application and Future of Digital Marketing 詠子森田, Mohana	2022	5
8	YOLOv5 Crop Detection Deep Learning Model using Artificial Intelligence (AI) and Edge Computing Zahid Larik, Mohana	2022	3
9	Comparative Analysis of Edge Computing and Edge Devices: Key Technology in IoT and Computer Vision Applications Surjit Singh, Anujah Thankarajah, Mohana	2021	23
10	Usual and Unusual Human Activity Recognition in Video using Deep Learning and Artificial Intelligence for Security Applications Anujah Thankarajah, Elke von Rekowski, E W Brown, Mohana	2021	16
11	YOLOv3 and YOLOv4: Multiple Object Detection for Surveillance Applications Allan S. Capati, Max Silverman, Mohana	2020	70
12	Object Detection and Tracking using Deep Learning and Artificial Intelligence for Video Surveillance Applications International Journal of Advanced Computer Science and Applications ·Mohana, H. V. Ravish Aradhya	2019	36
13	Simulation of Object Detection Algorithms for Video Survillance Applications Mohana, H. V. Ravish Aradhya	2018	16
14	Real Time Object Detection and Tracking Using Deep Learning and OpenCV Kyoichi NAGANO, Ayush Jain, Harsh Jain, Mohana	2018	162
15	Object Detection Algorithms for Video Surveillance Applications KATHLEEN MC NICHOLAS, Mohana, Sin Chuan Lai, H. V. Ravish Aradhya	2018	106
16	An area efficient FPGA implementation of moving object detection and face detection using adaptive threshold method Julien Darras, Mohana, H. V. Ravish Aradhya	2017	10
17	Power and area optimization of decimation filter for application in Sigma Delta ADC Suraj K. Mankani, Srinidhi Goturu, Mohana, H. V. Ravish Aradhya	2016	5
18	Remote monitoring of heart rate and music to tune the heart rate Mohana, Rajesh Sagar, H. V. Ravish Aradhya	2015	6
19	CAP to DIAMETER protocol converter 勉湯口, Mohana, H. V. Ravish Aradhya	2015	3
20	Correlator based group delay measurement for delta-DOR signals Д. Глантц, Allan Stojko, Sahdella Sahdella, 查明晖, Mohana, C. Hammonet, H. V. Ravish Aradhya	2015	2

About Mohana

Mohana is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Health Informatics, Information Systems and Computer Networks and Communications, having authored 94 papers that have together received 1.6k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (30 papers), Advanced Neural Network Applications (17 papers), Anomaly Detection Techniques and Applications (12 papers), Network Security and Intrusion Detection (8 papers), IoT-based Smart Home Systems (7 papers), Vehicle License Plate Recognition (6 papers), Fire Detection and Safety Systems (6 papers) and Advanced Malware Detection Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (856 citations), Media Technology (146 citations), Artificial Intelligence (463 citations), Safety, Risk, Reliability and Quality (119 citations) and Health Informatics (17 citations). Mohana has collaborated with scholars based in India, United Kingdom and Slovakia. Frequent co-authors include H. V. Ravish Aradhya, R Meghana, SM Apoorva, Ayush Jain, G Divya, Harsh Jain, Vikram Aditya, Naman Jain, Minal Moharir and Rajesh Sagar. Their work appears in journals such as IEEE Access, International Journal of Advanced Computer Science and Applications, 2022 International Conference on Computer Communication and Informatics (ICCCI), 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS) and 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA).

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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