Aveen Dayal

662 total citations
16 papers, 419 citations indexed

About

Aveen Dayal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Aveen Dayal has authored 16 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Aerospace Engineering. Recurrent topics in Aveen Dayal's work include Hand Gesture Recognition Systems (4 papers), Human Pose and Action Recognition (3 papers) and Radar Systems and Signal Processing (3 papers). Aveen Dayal is often cited by papers focused on Hand Gesture Recognition Systems (4 papers), Human Pose and Action Recognition (3 papers) and Radar Systems and Signal Processing (3 papers). Aveen Dayal collaborates with scholars based in Norway, India and United States. Aveen Dayal's co-authors include Linga Reddy Cenkeramaddi, Phaneendra K. Yalavarthy, Ajit Jha, Naveen Paluru, Jaya Prakash, Tomas Sakinis, J. Soumya, Abhinav Kumar, Navchetan Awasthi and Om Jee Pandey and has published in prestigious journals such as IEEE Transactions on Image Processing, The Journal of the Acoustical Society of America and IEEE Access.

In The Last Decade

Aveen Dayal

14 papers receiving 402 citations

Peers

Aveen Dayal
Aveen Dayal
Citations per year, relative to Aveen Dayal Aveen Dayal (= 1×) peers Alessio Fagioli

Countries citing papers authored by Aveen Dayal

Since Specialization
Citations

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

Fields of papers citing papers by Aveen Dayal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aveen Dayal

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

All Works

16 of 16 papers shown
1.
Dayal, Aveen, et al.. (2025). Leveraging Mixture Alignment for Multi-Source Domain Adaptation. IEEE Transactions on Image Processing. 34. 885–898. 2 indexed citations
3.
Dayal, Aveen, et al.. (2024). Vessel Type Classification Utilizing Underwater Acoustic Data and Deep Learning. 1–6. 2 indexed citations
4.
Cenkeramaddi, Linga Reddy, et al.. (2023). MADG: Margin-based Adversarial Learning for Domain Generalization. 58938–58952.
5.
Dayal, Aveen, et al.. (2023). Edge-Distributed Fusion of Camera-LiDAR for Robust Moving Object Localization. IEEE Access. 11. 73583–73598. 2 indexed citations
6.
Dayal, Aveen, et al.. (2023). Adversarial Unsupervised Domain Adaptation for Hand Gesture Recognition Using Thermal Images. IEEE Sensors Journal. 23(4). 3493–3504. 33 indexed citations
7.
Dayal, Aveen, Linga Reddy Cenkeramaddi, & Ajit Jha. (2022). Reward criteria impact on the performance of reinforcement learning agent for autonomous navigation. Applied Soft Computing. 126. 109241–109241. 13 indexed citations
8.
Dayal, Aveen, Sreenivasa Reddy Yeduri, J. Soumya, et al.. (2022). Lightweight deep convolutional neural network for background sound classification in speech signals. The Journal of the Acoustical Society of America. 151(4). 2773–2786. 8 indexed citations
9.
Paluru, Naveen, Aveen Dayal, Tomas Sakinis, et al.. (2021). Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images. IEEE Transactions on Neural Networks and Learning Systems. 32(3). 932–946. 129 indexed citations
10.
Awasthi, Navchetan, Aveen Dayal, Linga Reddy Cenkeramaddi, & Phaneendra K. Yalavarthy. (2021). Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 68(6). 2023–2037. 49 indexed citations
11.
Dayal, Aveen, et al.. (2021). Robust Hand Gestures Recognition Using a Deep CNN and Thermal Images. IEEE Sensors Journal. 21(23). 26602–26614. 39 indexed citations
12.
Dayal, Aveen, Ajit Jha, Santosh Kumar Vishvakarma, et al.. (2021). Classification of Targets Using Statistical Features from Range FFT of mmWave FMCW Radars. Electronics. 10(16). 1965–1965. 14 indexed citations
13.
Cenkeramaddi, Linga Reddy, et al.. (2021). A Novel Angle Estimation for mmWave FMCW Radars Using Machine Learning. IEEE Sensors Journal. 21(8). 9833–9843. 27 indexed citations
14.
Dayal, Aveen, Naveen Paluru, Linga Reddy Cenkeramaddi, J. Soumya, & Phaneendra K. Yalavarthy. (2021). Design and Implementation of Deep Learning Based Contactless Authentication System Using Hand Gestures. Electronics. 10(2). 182–182. 34 indexed citations
15.
Dayal, Aveen, Ajit Jha, Santosh Kumar Vishvakarma, et al.. (2021). Object Classification Technique for mmWave FMCW Radars using Range-FFT Features. 111–115. 17 indexed citations
16.
Dayal, Aveen, et al.. (2021). Deep Learning-Based Sign Language Digits Recognition From Thermal Images With Edge Computing System. IEEE Sensors Journal. 21(9). 10445–10453. 50 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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