Ayan Seal

3.9k total citations · 2 hit papers
79 papers, 2.8k citations indexed

About

Ayan Seal is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Ayan Seal has authored 79 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 25 papers in Media Technology and 13 papers in Artificial Intelligence. Recurrent topics in Ayan Seal's work include Face and Expression Recognition (23 papers), Advanced Image Fusion Techniques (17 papers) and Remote-Sensing Image Classification (12 papers). Ayan Seal is often cited by papers focused on Face and Expression Recognition (23 papers), Advanced Image Fusion Techniques (17 papers) and Remote-Sensing Image Classification (12 papers). Ayan Seal collaborates with scholars based in India, Czechia and Malaysia. Ayan Seal's co-authors include Ondřej Krejcar, Anis Yazidi, Chinmaya Panigrahy, Nihar Kumar Mahato, Mohan Karnati, Debotosh Bhattacharjee, Geet Sahu, Pritee Khanna, Mita Nasipuri and Enrique Herrera‐Viedma and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Ayan Seal

75 papers receiving 2.7k citations

Hit Papers

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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.

DeprNet: A Deep Convolution Neural Network Framework for Detecting Depression Using EEG

2021 162 citations Ayan Seal, Anis Yazidi et al. IEEE Transactions on Instrumentation and Measurement profile →
Understanding Deep Learning Techniques for Recognition of Human Emotions Using Facial Expressions: A Comprehensive Survey

2023 92 citations Mohan Karnati, Ayan Seal et al. IEEE Transactions on Instrumentation and Measurement profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ayan Seal	1.4k	638	470	443	403	79	2.8k
Zheru Chi	1.6k 1.1×	366 0.6×	811 1.7×	314 0.7×	249 0.6×	170	3.2k
Ruiping Wang	3.9k 2.8×	714 1.1×	1.3k 2.7×	436 1.0×	764 1.9×	120	5.6k
Mu Li	1.6k 1.1×	228 0.4×	2.0k 4.3×	216 0.5×	323 0.8×	61	4.0k
Michael S. Lew	1.3k 0.9×	208 0.3×	728 1.5×	211 0.5×	131 0.3×	34	2.7k
Hua Yang	1.4k 1.0×	175 0.3×	745 1.6×	164 0.4×	480 1.2×	218	2.9k
Jana Novovičová	1.2k 0.8×	381 0.6×	1.3k 2.7×	175 0.4×	280 0.7×	29	3.3k
Yue Wu	4.0k 2.8×	559 0.9×	849 1.8×	309 0.7×	203 0.5×	118	5.1k
Domènec Puig	1.3k 0.9×	679 1.1×	769 1.6×	136 0.3×	180 0.4×	160	2.9k
Karim Faez	2.4k 1.7×	640 1.0×	863 1.8×	81 0.2×	318 0.8×	335	4.2k
Hao Tang	2.8k 2.0×	734 1.2×	721 1.5×	358 0.8×	170 0.4×	192	4.1k

Countries citing papers authored by Ayan Seal

Since Specialization

Citations

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

Fields of papers citing papers by Ayan Seal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayan Seal

This figure shows the co-authorship network connecting the top 25 collaborators of Ayan Seal. A scholar is included among the top collaborators of Ayan Seal 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 Ayan Seal. Ayan Seal 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

Karn, Shalini, et al.. (2025). Scalable Multiview Clustering through Consistency Fusion of Shared Bipartite Graphs. Knowledge-Based Systems. 326. 113960–113960.

Karnati, Mohan, et al.. (2025). A Separable Bi-Pyramidal Feature Attention Network to Detect Alzheimer’s Using Electroencephalographic Signals. IEEE Transactions on Instrumentation and Measurement. 74. 1–15.

Kumar, Vinay, et al.. (2024). Infrared and visible image fusion based on FUDPCNN and gravitational force operator. Signal Image and Video Processing. 18(10). 6973–6986. 6 indexed citations

Sahu, Geet, Mohan Karnati, Abhishek Gupta, & Ayan Seal. (2023). SCZ-SCAN: An automated Schizophrenia detection system from electroencephalogram signals. Biomedical Signal Processing and Control. 86. 105206–105206. 20 indexed citations

Panigrahy, Chinmaya, et al.. (2023). Parameter adaptive unit-linking pulse coupled neural network based MRI–PET/SPECT image fusion. Biomedical Signal Processing and Control. 83. 104659–104659. 35 indexed citations

Sahu, Geet, Ayan Seal, Joanna Jaworek-Korjakowska, & Ondřej Krejcar. (2023). Single Image Dehazing via Fusion of Multilevel Attention Network for Vision-Based Measurement Applications. IEEE Transactions on Instrumentation and Measurement. 72. 1–15. 49 indexed citations

Karnati, Mohan, Geet Sahu, Abhishek Gupta, Ayan Seal, & Ondřej Krejcar. (2023). A Pyramidal Spatial-Based Feature Attention Network for Schizophrenia Detection Using Electroencephalography Signals. IEEE Transactions on Cognitive and Developmental Systems. 16(3). 935–946. 16 indexed citations

Seal, Ayan, et al.. (2023). S-Divergence-Based Internal Clustering Validation Index.. International Journal of Interactive Multimedia and Artificial Intelligence. 8(4). 127–139. 2 indexed citations

Karnati, Mohan, Ayan Seal, Debotosh Bhattacharjee, Anis Yazidi, & Ondřej Krejcar. (2023). Understanding Deep Learning Techniques for Recognition of Human Emotions Using Facial Expressions: A Comprehensive Survey. IEEE Transactions on Instrumentation and Measurement. 72. 1–31. 92 indexed citations breakdown →

10.

Sahu, Geet, Ayan Seal, Anis Yazidi, & Ondřej Krejcar. (2022). A Dual-Channel Dehaze-Net for Single Image Dehazing in Visual Internet of Things Using PYNQ-Z2 Board. IEEE Transactions on Automation Science and Engineering. 21(1). 305–319. 47 indexed citations

11.

Sahu, Geet, Ayan Seal, Debotosh Bhattacharjee, Robert Frischer, & Ondřej Krejcar. (2022). A Novel Parameter Adaptive Dual Channel MSPCNN Based Single Image Dehazing for Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems. 24(3). 3027–3047. 45 indexed citations

12.

Sahu, Geet, Ayan Seal, Debotosh Bhattacharjee, et al.. (2022). Trends and Prospects of Techniques for Haze Removal From Degraded Images: A Survey. IEEE Transactions on Emerging Topics in Computational Intelligence. 6(4). 762–782. 47 indexed citations

13.

Seal, Ayan, et al.. (2022). Graphical representation learning-based approach for automatic classification of electroencephalogram signals in depression. Computers in Biology and Medicine. 145. 105420–105420. 34 indexed citations

14.

Karnati, Mohan, Ayan Seal, Geet Sahu, Anis Yazidi, & Ondřej Krejcar. (2022). A novel multi-scale based deep convolutional neural network for detecting COVID-19 from X-rays. Applied Soft Computing. 125. 109109–109109. 32 indexed citations

15.

Kubíček, Jan, et al.. (2022). Thrombotic and Atherogenetic Predisposition in Polyglobulic Donors. Biomedicines. 10(4). 888–888.

16.

Seal, Ayan, et al.. (2021). An Enhanced Spectral Clustering Algorithm with S-Distance. Symmetry. 13(4). 596–596. 20 indexed citations

17.

Seal, Ayan, Aparajita Ojha, Anis Yazidi, et al.. (2021). A deep CNN model for anomaly detection and localization in wireless capsule endoscopy images. Computers in Biology and Medicine. 137. 104789–104789. 62 indexed citations

18.

Seal, Ayan, Aparajita Ojha, Ondřej Krejcar, et al.. (2020). Detection of abnormality in wireless capsule endoscopy images using fractal features. Computers in Biology and Medicine. 127. 104094–104094. 49 indexed citations

19.

Panigrahy, Chinmaya, et al.. (2017). An Approximated Box Height for Differential-Box-Counting Method to Estimate Fractal Dimensions of Gray-Scale Images. Entropy. 19(10). 534–534. 31 indexed citations

20.

Seal, Ayan, Debotosh Bhattacharjee, Mita Nasipuri, & Consuelo Gonzalo‐Martín. (2014). ROBUST THERMAL FACE RECOGNITION USING REGION CLASSIFIERS. International Journal of Pattern Recognition and Artificial Intelligence. 28(5). 1456008–1456008. 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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