Mohana

2.8k total citations · 1 hit paper
94 papers, 1.6k citations indexed

About

Mohana is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mohana has authored 94 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 24 papers in Artificial Intelligence and 16 papers in Computer Networks and Communications. Recurrent topics in Mohana's work include Video Surveillance and Tracking Methods (30 papers), Advanced Neural Network Applications (17 papers) and Anomaly Detection Techniques and Applications (12 papers). Mohana is often cited by papers focused on Video Surveillance and Tracking Methods (30 papers), Advanced Neural Network Applications (17 papers) and Anomaly Detection Techniques and Applications (12 papers). Mohana collaborates with scholars based in India, United Kingdom and Slovakia. Mohana's 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 and has published in prestigious journals such as IEEE Access, International Journal of Advanced Computer Science and Applications and 2022 International Conference on Computer Communication and Informatics (ICCCI).

In The Last Decade

Mohana

74 papers receiving 1.3k citations

Hit Papers

Feature Extraction using Convolution Neural Networks (CNN... 2018 2026 2020 2023 2018 100 200 300
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.

  1. Feature Extraction using Convolution Neural Networks (CNN) and Deep Learning
    2018 320 citations Mohana et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohana India 22 856 463 187 154 146 94 1.6k
Yingjie Xia China 22 703 0.8× 487 1.1× 312 1.7× 211 1.4× 111 0.8× 117 1.7k
Tao Yang China 22 935 1.1× 203 0.4× 156 0.8× 194 1.3× 139 1.0× 114 1.5k
Juan A. Álvarez-García Spain 16 502 0.6× 257 0.6× 109 0.6× 128 0.8× 150 1.0× 47 959
Jianhua Zou China 16 568 0.7× 329 0.7× 203 1.1× 176 1.1× 54 0.4× 60 1.2k
Xiaorui Zhang China 16 497 0.6× 346 0.7× 163 0.9× 116 0.8× 111 0.8× 82 1.2k
İlhan Aydın Türkiye 28 352 0.4× 449 1.0× 100 0.5× 287 1.9× 175 1.2× 144 2.0k
Adel Ammar Saudi Arabia 23 678 0.8× 370 0.8× 214 1.1× 76 0.5× 90 0.6× 52 1.5k
James Orwell United Kingdom 19 1.4k 1.6× 304 0.7× 48 0.3× 115 0.7× 215 1.5× 56 2.0k
Pan He China 11 662 0.8× 933 2.0× 175 0.9× 144 0.9× 248 1.7× 47 1.9k

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 of co-authors of Mohana

This figure shows the co-authorship network connecting the top 25 collaborators of Mohana. A scholar is included among the top collaborators of Mohana 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 Mohana. Mohana 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
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Srinivasan, S., et al.. (2025). Deepfake Image and Video Detection Using Deep Learning Algorithms. 1933–1937.
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Siddiqui, Muhammad, et al.. (2024). Robust Brain Tumor Classification of MRI Images Using Deep Learning via InceptionResNetV2. 1–6. 1 indexed citations
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Mohana, et al.. (2023). Analysis of Fake News Detection using Graph Neural Network (GNN) and Deep Learning. 1805–1811. 1 indexed citations
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Mohana, et al.. (2022). Jenkins Pipelines: A Novel Approach to Machine Learning Operations (MLOps). 2022 International Conference on Edge Computing and Applications (ICECAA). 1292–1297. 8 indexed citations
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Mohana, et al.. (2020). YOLOv3 and YOLOv4: Multiple Object Detection for Surveillance Applications. 1316–1321. 70 indexed citations
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Mohana & H. V. Ravish Aradhya. (2019). Object Detection and Tracking using Deep Learning and Artificial Intelligence for Video Surveillance Applications. International Journal of Advanced Computer Science and Applications. 10(12). 36 indexed citations
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Mohana & H. V. Ravish Aradhya. (2018). Simulation of Object Detection Algorithms for Video Survillance Applications. 651–655. 16 indexed citations
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Jain, Ayush, et al.. (2018). Real Time Object Detection and Tracking Using Deep Learning and OpenCV. 1305–1308. 162 indexed citations
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Mohana, et al.. (2018). Object Detection Algorithms for Video Surveillance Applications. 563–568. 106 indexed citations
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Mohana, Rajesh Sagar, & H. V. Ravish Aradhya. (2015). Remote monitoring of heart rate and music to tune the heart rate. 678–681. 6 indexed citations
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Mohana, et al.. (2015). CAP to DIAMETER protocol converter. 598–602. 3 indexed citations
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Mohana, et al.. (2015). Correlator based group delay measurement for delta-DOR signals. 419–422. 2 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.

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