Jay Kumar

1.7k total citations
38 papers, 1.1k citations indexed

About

Jay Kumar is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Jay Kumar has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 10 papers in Information Systems and 6 papers in Signal Processing. Recurrent topics in Jay Kumar's work include Data Stream Mining Techniques (7 papers), COVID-19 diagnosis using AI (5 papers) and Privacy-Preserving Technologies in Data (5 papers). Jay Kumar is often cited by papers focused on Data Stream Mining Techniques (7 papers), COVID-19 diagnosis using AI (5 papers) and Privacy-Preserving Technologies in Data (5 papers). Jay Kumar collaborates with scholars based in China, Canada and Pakistan. Jay Kumar's co-authors include Rajesh Kumar, Wenyong Wang, Abdullah Aman Khan, Riaz Ullah Khan, Ting Yang, Xiaosong Zhang, Salah Ud Din, Rajesh Kumar, Zakria Zakria and Junming Shao and has published in prestigious journals such as Journal of Power Sources, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Jay Kumar

34 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay Kumar China 16 582 324 253 199 184 38 1.1k
Lahouari Ghouti Saudi Arabia 18 376 0.6× 367 1.1× 231 0.9× 71 0.4× 136 0.7× 69 1.2k
Ravinder Kumar India 16 357 0.6× 150 0.5× 263 1.0× 123 0.6× 52 0.3× 67 984
Sandeep Kautish India 21 304 0.5× 161 0.5× 236 0.9× 98 0.5× 77 0.4× 64 906
Samir Elmougy Egypt 17 338 0.6× 151 0.5× 221 0.9× 211 1.1× 67 0.4× 70 935
Dilovan Asaad Zebari Iraq 21 588 1.0× 136 0.4× 152 0.6× 335 1.7× 66 0.4× 54 1.2k
Ramgopal Kashyap India 19 230 0.4× 136 0.4× 165 0.7× 108 0.5× 46 0.3× 52 987
Mohammed Nasser Al‐Mhiqani Malaysia 13 228 0.4× 204 0.6× 341 1.3× 106 0.5× 130 0.7× 29 772
S. Manimurugan Saudi Arabia 17 395 0.7× 160 0.5× 378 1.5× 117 0.6× 185 1.0× 58 966
Atef Zaguia Saudi Arabia 19 326 0.6× 138 0.4× 179 0.7× 184 0.9× 47 0.3× 51 1.2k
Hamad Naeem China 21 531 0.9× 378 1.2× 737 2.9× 71 0.4× 760 4.1× 45 1.3k

Countries citing papers authored by Jay Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Jay Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Kumar. A scholar is included among the top collaborators of Jay Kumar 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 Jay Kumar. Jay Kumar 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.
Kumar, Rajesh, Shaoning Zeng, Jay Kumar, Zakria Zakria, & Xin Mao. (2025). Privacy-preserving federated transfer learning for enhanced liver lesion segmentation in PET–CT imaging. Artificial Intelligence in Medicine. 169. 103245–103245.
2.
Spadon, Gabriel, et al.. (2024). Maritime tracking data analysis and integration with AISdb. SoftwareX. 28. 101952–101952. 6 indexed citations
3.
Kumar, Rajesh, et al.. (2024). Privacy-preserving blockchain-based federated learning for brain tumor segmentation. Computers in Biology and Medicine. 177. 108646–108646. 22 indexed citations
4.
5.
Kumar, Jay, et al.. (2023). FedStream: Prototype-Based Federated Learning on Distributed Concept-Drifting Data Streams. IEEE Transactions on Systems Man and Cybernetics Systems. 53(11). 7112–7124. 14 indexed citations
6.
Kumar, Jay, et al.. (2023). A context-enhanced Dirichlet model for online clustering in short text streams. Expert Systems with Applications. 228. 120262–120262. 3 indexed citations
7.
Kumar, Jay, et al.. (2023). Semi-supervised federated learning on evolving data streams. Information Sciences. 643. 119235–119235. 15 indexed citations
8.
Kumar, Jay, et al.. (2023). Online Semi-Supervised Classification on Multilabel Evolving High-Dimensional Text Streams. IEEE Transactions on Systems Man and Cybernetics Systems. 53(10). 5983–5995. 2 indexed citations
9.
Kumar, Jay, et al.. (2023). A novel positional encoded attention-based Long short-term memory network for state of charge estimation of lithium-ion battery. Journal of Power Sources. 590. 233788–233788. 27 indexed citations
10.
Kumar, Rajesh, et al.. (2022). Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images. Computerized Medical Imaging and Graphics. 102. 102139–102139. 39 indexed citations
11.
Hayward, Bruce E., et al.. (2022). Both cis and trans-acting genetic factors drive somatic instability in female carriers of the FMR1 premutation. Scientific Reports. 12(1). 10419–10419. 16 indexed citations
12.
Kumar, Jay, et al.. (2021). Context-Aware Bidirectional Neural Model for Sindhi Named Entity Recognition. Applied Sciences. 11(19). 9038–9038. 5 indexed citations
13.
Din, Salah Ud, et al.. (2021). Learning High-Dimensional Evolving Data Streams With Limited Labels. IEEE Transactions on Cybernetics. 52(11). 11373–11384. 12 indexed citations
14.
Kumar, Jay, et al.. (2021). An Online Semantic-Enhanced Graphical Model for Evolving Short Text Stream Clustering. IEEE Transactions on Cybernetics. 52(12). 13809–13820. 6 indexed citations
15.
Kumar, Rajesh, Wenyong Wang, Jay Kumar, et al.. (2021). Privacy-Preserved Blockchain-Federated-Learning for Medical Image Analysis Towards Multiple Parties.
16.
Din, Salah Ud, Junming Shao, Jay Kumar, et al.. (2021). Data stream classification with novel class detection: a review, comparison and challenges. Knowledge and Information Systems. 63(9). 2231–2276. 30 indexed citations
17.
Kumar, Rajesh, et al.. (2020). Blockchain-Federated-Learning and Deep Learning Models for COVID-19 Detection Using CT Imaging. arXiv (Cornell University). 337 indexed citations
18.
Kumar, Rajesh, Wenyong Wang, Jay Kumar, et al.. (2020). An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals. Computerized Medical Imaging and Graphics. 87. 101812–101812. 110 indexed citations
19.
Kumar, Rajesh, Xiaosong Zhang, Wenyong Wang, et al.. (2019). A Multimodal Malware Detection Technique for Android IoT Devices Using Various Features. IEEE Access. 7. 64411–64430. 96 indexed citations
20.
Manor, Esther, et al.. (2019). The role of AGG interruptions in the FMR1 gene stability: A survey in ethnic groups with low and high rate of consanguinity. Molecular Genetics & Genomic Medicine. 7(10). e00946–e00946. 7 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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