K. R. Seeja

1.4k total citations
35 papers, 787 citations indexed

About

K. R. Seeja is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, K. R. Seeja has authored 35 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 8 papers in Information Systems. Recurrent topics in K. R. Seeja's work include Face recognition and analysis (9 papers), Biometric Identification and Security (6 papers) and Emotion and Mood Recognition (5 papers). K. R. Seeja is often cited by papers focused on Face recognition and analysis (9 papers), Biometric Identification and Security (6 papers) and Emotion and Mood Recognition (5 papers). K. R. Seeja collaborates with scholars based in India and Pakistan. K. R. Seeja's co-authors include Pallavi Pandey, Masoumeh Zareapoor, S. H. Grover, Rajni Jindal, Aishwarya Kumar, M. Afshar Alam, Shrey Jain and Harshita Abul Barkat and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Neurocomputing.

In The Last Decade

K. R. Seeja

31 papers receiving 730 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. R. Seeja India 12 271 195 184 144 133 35 787
Peter Drotár Slovakia 18 391 1.4× 131 0.7× 32 0.2× 260 1.8× 122 0.9× 60 1.4k
Mir Mohsen Pedram Iran 14 278 1.0× 221 1.1× 41 0.2× 70 0.5× 37 0.3× 78 889
Xinchun Cui China 9 84 0.3× 288 1.5× 261 1.4× 60 0.4× 51 0.4× 30 552
Kyogu Lee South Korea 18 208 0.8× 189 1.0× 52 0.3× 441 3.1× 635 4.8× 96 1.0k
Esmeralda C. Djamal Indonesia 14 142 0.5× 274 1.4× 64 0.3× 99 0.7× 58 0.4× 130 614
Joon S. Lim South Korea 12 159 0.6× 264 1.4× 42 0.2× 62 0.4× 138 1.0× 73 726
Galip Aydın Türkiye 17 365 1.3× 191 1.0× 64 0.3× 225 1.6× 79 0.6× 45 1.2k
Kamran Siddique Malaysia 17 212 0.8× 35 0.2× 36 0.2× 136 0.9× 168 1.3× 42 740
Ruwei Dai China 18 229 0.8× 266 1.4× 29 0.2× 394 2.7× 104 0.8× 75 1.1k

Countries citing papers authored by K. R. Seeja

Since Specialization
Citations

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

Fields of papers citing papers by K. R. Seeja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. R. Seeja

This figure shows the co-authorship network connecting the top 25 collaborators of K. R. Seeja. A scholar is included among the top collaborators of K. R. Seeja 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 K. R. Seeja. K. R. Seeja 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
1.
Seeja, K. R., et al.. (2025). Speech Emotion Recognition using Mel Spectrogram and Convolutional Neural Networks (CNN). Procedia Computer Science. 258. 3693–3702. 1 indexed citations
2.
Seeja, K. R., et al.. (2025). An Attention-Based Residual U-Net for Tumour Segmentation Using Multi-Modal MRI Brain Images. IEEE Access. 13. 10240–10251. 3 indexed citations
3.
Seeja, K. R., et al.. (2025). Video-Based Facial Emotion Recognition using YOLO and Vision Transformer. EPJ Web of Conferences. 328. 1040–1040.
4.
Barkat, Harshita Abul, et al.. (2024). Innovations in Air Writing: Redefining Digital Canvases. SSRN Electronic Journal.
5.
Seeja, K. R., et al.. (2024). A Comparative Study and Systematic Analysis of XAI Models and their Applications in Healthcare. Archives of Computational Methods in Engineering. 10 indexed citations
6.
Seeja, K. R., et al.. (2024). Autism Spectrum Disorder Screening on HomeVideos Using Deep Learning. International Journal of Image Graphics and Signal Processing. 16(4). 106–115.
7.
Seeja, K. R., et al.. (2023). Facial emotion recognition using Handcrafted features and CNN. Procedia Computer Science. 218. 1295–1303. 26 indexed citations
8.
Kumar, Aishwarya & K. R. Seeja. (2023). Periocular Region based Gender Identification using Transfer Learning. SHILAP Revista de lepidopterología. 4. 277–286. 6 indexed citations
9.
Seeja, K. R., et al.. (2023). One shot learning approach for cross spectrum periocular verification. Multimedia Tools and Applications. 82(13). 20589–20604. 3 indexed citations
10.
Seeja, K. R., et al.. (2023). Multivariate multi-step LSTM model for flood runoff prediction: a case study on the Godavari River Basin in India. Journal of Water and Climate Change. 14(10). 3635–3647. 10 indexed citations
11.
Seeja, K. R., et al.. (2021). Computing semantic relatedness using latent semantic analysis and fuzzy formal concept analysis. International Journal of Reasoning-based Intelligent Systems. 13(2). 92–92. 2 indexed citations
12.
Seeja, K. R., et al.. (2021). A novel periocular biometrics solution for authentication during Covid-19 pandemic situation. Journal of Ambient Intelligence and Humanized Computing. 12(11). 10321–10337. 30 indexed citations
13.
Seeja, K. R., et al.. (2020). A New Methodology for Computing Semantic Relatedness: Modified Latent Semantic Analysis by Fuzzy Formal Concept Analysis. Procedia Computer Science. 167. 1102–1109. 7 indexed citations
14.
Pandey, Pallavi & K. R. Seeja. (2019). Subject independent emotion recognition from EEG using VMD and deep learning. Journal of King Saud University - Computer and Information Sciences. 34(5). 1730–1738. 149 indexed citations
15.
Seeja, K. R.. (2018). HybridHAM: A Novel Hybrid Heuristic for Finding Hamiltonian Cycle. Hindawi Journal of Chemistry (Hindawi). 2018. 1–10. 5 indexed citations
16.
Seeja, K. R., et al.. (2018). Identification of New Parameters for Ontology Based Semantic Similarity Measures. ICST Transactions on Scalable Information Systems. 0(0). 156439–156439. 2 indexed citations
17.
Seeja, K. R., et al.. (2017). A novel path planning algorithm for visually impaired people. Journal of King Saud University - Computer and Information Sciences. 31(3). 385–391. 16 indexed citations
18.
Zareapoor, Masoumeh & K. R. Seeja. (2015). Feature Extraction or Feature Selection for Text Classification: A Case Study on Phishing Email Detection. International Journal of Information Engineering and Electronic Business. 7(2). 60–65. 69 indexed citations
19.
Seeja, K. R., et al.. (2013). Privacy Preserving Data Mining using Attribute Encryption and Data Perturbation. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY. 6(3). 370–378. 1 indexed citations
20.
Seeja, K. R., M. Afshar Alam, & Shrey Jain. (2009). AN ASSOCIATION RULE MINING APPROACH FOR CO-REGULATED SIGNATURE GENES IDENTIFICATION IN CANCER. Journal of Circuits Systems and Computers. 18(8). 1409–1423. 3 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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