Prashant Kumar Shukla

4.0k total citations · 1 hit paper
91 papers, 2.4k citations indexed

About

Prashant Kumar Shukla is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Prashant Kumar Shukla has authored 91 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 18 papers in Computer Networks and Communications and 13 papers in Information Systems. Recurrent topics in Prashant Kumar Shukla's work include EEG and Brain-Computer Interfaces (12 papers), Network Security and Intrusion Detection (7 papers) and IoT and Edge/Fog Computing (6 papers). Prashant Kumar Shukla is often cited by papers focused on EEG and Brain-Computer Interfaces (12 papers), Network Security and Intrusion Detection (7 papers) and IoT and Edge/Fog Computing (6 papers). Prashant Kumar Shukla collaborates with scholars based in India, Saudi Arabia and United States. Prashant Kumar Shukla's co-authors include Piyush Kumar Shukla, Akhilesh Tiwari, Yadunath Pathak, Asima Pradhan, Saurabh Singh, Rupesh K. Srivastava, Pradyumna Kumar Mishra, Hamid Y. Dar, Priti Maheshwary and Rajaneesh Anupam and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Optics Express.

In The Last Decade

Prashant Kumar Shukla

82 papers receiving 2.2k citations

Hit Papers

Deep Transfer Learning Based Classification Model for COV... 2020 2026 2022 2024 2020 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. Deep Transfer Learning Based Classification Model for COVID-19 Disease
    2020 329 citations Prashant Kumar Shukla, Piyush Kumar Shukla 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
Prashant Kumar Shukla India 26 573 374 342 272 254 91 2.4k
Tarek Gaber United Kingdom 30 765 1.3× 281 0.8× 215 0.6× 348 1.3× 460 1.8× 118 3.1k
Samir Brahim Belhaouari Qatar 24 881 1.5× 293 0.8× 132 0.4× 469 1.7× 201 0.8× 212 2.2k
Ping Chen China 26 456 0.8× 441 1.2× 197 0.6× 543 2.0× 390 1.5× 289 3.1k
Yogesh Kumar India 27 683 1.2× 290 0.8× 92 0.3× 332 1.2× 272 1.1× 130 2.0k
Cheng Wang China 22 506 0.9× 157 0.4× 435 1.3× 235 0.9× 98 0.4× 223 3.3k
Manjit Kaur India 27 568 1.0× 264 0.7× 182 0.5× 585 2.2× 167 0.7× 88 2.1k
Jair Cervantes Mexico 15 688 1.2× 130 0.3× 126 0.4× 458 1.7× 150 0.6× 48 2.3k
Muhammad Awais Pakistan 24 311 0.5× 146 0.4× 232 0.7× 323 1.2× 278 1.1× 112 1.9k
Pierangelo Veltri Italy 23 629 1.1× 205 0.5× 581 1.7× 252 0.9× 325 1.3× 237 2.2k
Shimin Li China 19 1.6k 2.9× 292 0.8× 234 0.7× 380 1.4× 189 0.7× 91 3.5k

Countries citing papers authored by Prashant Kumar Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Prashant Kumar Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashant Kumar Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Prashant Kumar Shukla. A scholar is included among the top collaborators of Prashant Kumar Shukla 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 Prashant Kumar Shukla. Prashant Kumar Shukla 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.
Hazzazi, Mohammad Mazyad, et al.. (2025). High accuracy indoor positioning system using Galois field-based cryptography and hybrid deep learning. Scientific Reports. 15(1). 15064–15064. 1 indexed citations
2.
Shukla, Prashant Kumar, Charu Gandhi, Mesfer Alrizq, et al.. (2024). Effective privacy preserving model based on adversarial CNN with IBOA in the social IoT systems for CEC. International Journal of Communication Systems. 38(1). 2 indexed citations
3.
Shukla, Prashant Kumar, et al.. (2024). Industrial control system design of optimized fopid controller with anomaly detection based on walrus optimization and Bi-LSTM. Forschung im Ingenieurwesen. 89(1). 1 indexed citations
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Shukla, Prashant Kumar, et al.. (2024). A Review of Anomaly Detection using Machine Learning Techniques. 1–6. 2 indexed citations
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Shukla, Prashant Kumar, et al.. (2023). Optimization assisted bidirectional gated recurrent unit for healthcare monitoring system in big-data. Applied Soft Computing. 138. 110178–110178. 16 indexed citations
9.
Shukla, Prashant Kumar, et al.. (2023). An Effective Recognition of Pointer Movement By Means of Hilbert Huang Transform and Deep Neural Network Algorithm. 8. 459–462. 1 indexed citations
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Rani, Preeti, et al.. (2022). An Implementation of Modified Blowfish Technique with Honey Bee Behavior Optimization for Load Balancing in Cloud System Environment. Wireless Communications and Mobile Computing. 2022(1). 33 indexed citations
13.
Islam, Md Babul, et al.. (2022). Pandemic Outbreak Time: Evaluation of Public Tweet Opinion by Machine Learning. 2314. 1–6. 16 indexed citations
14.
Janarthanan, R., et al.. (2021). Intelligent Detection of the PV Faults Based on Artificial Neural Network and Type 2 Fuzzy Systems. Energies. 14(20). 6584–6584. 75 indexed citations
15.
Shukla, Piyush Kumar & Prashant Kumar Shukla. (2021). Efficient Electricity Forecasting in Multiple Residential Buildings considering Demand-Side Management. 49–63. 4 indexed citations
16.
Sapra, Leena, Hamid Y. Dar, Asha Bhardwaj, et al.. (2021). Lactobacillus rhamnosus attenuates bone loss and maintains bone health by skewing Treg-Th17 cell balance in Ovx mice. Scientific Reports. 11(1). 1807–1807. 100 indexed citations
17.
Dar, Hamid Y., Prashant Kumar Shukla, Rajaneesh Anupam, et al.. (2018). High dietary salt intake correlates with modulated Th17-Treg cell balance resulting in enhanced bone loss and impaired bone-microarchitecture in male mice. Scientific Reports. 8(1). 2503–2503. 64 indexed citations
18.
Dar, Hamid Y., Subhashis Pal, Prashant Kumar Shukla, et al.. (2018). Bacillus clausii inhibits bone loss by skewing Treg-Th17 cell equilibrium in postmenopausal osteoporotic mice model. Nutrition. 54. 118–128. 74 indexed citations
19.
Shukla, Prashant Kumar, et al.. (2012). A Review of Routing Protocols for MANET. IJEIR. 1(4). 332–335. 1 indexed citations
20.
Pandey, Ajay Kumar & Prashant Kumar Shukla. (2008). Role of Medicinal Plants in Health Care and Rural Economy in the Tribals of Satpura Plateau Region of Central India. Indian Forester. 134(11). 1438–1446. 8 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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