Surendran Rajendran

682 total citations
30 papers, 336 citations indexed

About

Surendran Rajendran is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Surendran Rajendran has authored 30 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 6 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Surendran Rajendran's work include IoT and Edge/Fog Computing (6 papers), Brain Tumor Detection and Classification (4 papers) and Advanced Malware Detection Techniques (3 papers). Surendran Rajendran is often cited by papers focused on IoT and Edge/Fog Computing (6 papers), Brain Tumor Detection and Classification (4 papers) and Advanced Malware Detection Techniques (3 papers). Surendran Rajendran collaborates with scholars based in India, Saudi Arabia and United States. Surendran Rajendran's co-authors include Youseef Alotaibi, Tamilvizhi Thanarajan, Osamah Ibrahim Khalaf, Saleh Alghamdi, K. Shankar, Thavavel Vaiyapuri, Sachin Kumar, Hyunil Kim, Deepak Gupta and Meshal Alharbi and has published in prestigious journals such as Scientific Reports, IEEE Access and Materials Today Proceedings.

In The Last Decade

Surendran Rajendran

24 papers receiving 326 citations

Peers

Surendran Rajendran

CNC

EEE

CVPR

Abdoh Jabbari Saudi Arabia

S. Prabu India

Fahd S. Alharithi Saudi Arabia

Bhaskar Pant India

Pradeep Bedi India

V. Arulkumar India

T. Tamilvizhi India

Shailendra Aswale India

Nihar Ranjan Roy India

Rizwan Majeed Pakistan

Abdoh Jabbari Saudi Arabia

Surendran Rajendran

64 ×0.7

CNC

68 ×0.9

87 ×1.2

40 ×1.1

EEE

34 ×1.0

CVPR

Citations per year, relative to Surendran Rajendran Surendran Rajendran (= 1×) peers Abdoh Jabbari

Countries citing papers authored by Surendran Rajendran

Since Specialization

Citations

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

Fields of papers citing papers by Surendran Rajendran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Surendran Rajendran

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

Mahendran, Rakesh Kumar, et al.. (2025). Intra-scale interaction and cross-scale fusion network for detecting the progression of neurodegeneration in Alzheimer’s disease. Scientific Reports. 16(1). 1377–1377.

Thanarajan, Tamilvizhi, et al.. (2025). Biosensor based Detection of Early Spread of Vector Borne Disease with Personalized Treatment strategies using Machine Learning. Journal of New Materials for Electrochemical Systems. 28(1.a). 85–97.

Rajendran, Surendran, et al.. (2025). Purifying Kopi Luwak beans with precise RL-based proximal policy optimization using visual transformer with FRD. Egyptian Informatics Journal. 31. 100737–100737.

Rajendran, Surendran, et al.. (2025). Lung disease classification in chest X-ray images using optimal cross stage partial bidirectional long short term memory. Journal of X-Ray Science and Technology. 33(3). 501–515. 1 indexed citations

Alotaibi, Youseef, et al.. (2025). Optimal deep learning based vehicle detection and classification using chaotic equilibrium optimization algorithm in remote sensing imagery. Scientific Reports. 15(1). 17921–17921. 2 indexed citations

Alotaibi, Youseef, et al.. (2025). Proximal policy optimization (PPO) algorithm's role in autonomous decision-making for autism. Results in Engineering. 28. 107683–107683.

Thanarajan, Tamilvizhi, et al.. (2025). Hybrid vision GNNs based early detection and protection against pest diseases in coffee plants. Scientific Reports. 15(1). 11778–11778. 6 indexed citations

Rajendran, Surendran, et al.. (2025). Detection of neonatal jaundice using capsule graph neural network optimized with wild horse algorithm. IET conference proceedings.. 2024(37). 787–791.

Rajendran, Surendran, et al.. (2025). FUTURE-PROOF COFFEE PLANT DISEASE DETECTION BASED ON COUNTER-FACTUAL RECOMMENDATION WITH A HYBRID VISION TRANSFORMER AND CONVOLUTIONAL NEURAL NETWORK MODEL. 1–24. 2 indexed citations

10.

Rajendran, Surendran, et al.. (2025). Slice-Based 6G Network with Enhanced Manta Ray Deep Reinforcement Learning-Driven Proactive and Robust Resource Management. Computers, materials & continua/Computers, materials & continua (Print). 84(3). 4973–4995. 1 indexed citations

11.

Babu, Thirunavukkarasu Arun, et al.. (2024). Sensor Based EEG Signal Based Dementia Disease Detection Using Artificial Intelligence. Journal of New Materials for Electrochemical Systems. 27(4). 2 indexed citations

12.

Rajendran, Surendran, et al.. (2024). Sensors Based Optimized Closed Loop Control Algorithm to Minimize Hypoglycemia/Hyperglycemia using 4-Variate Time Series Data. Journal of New Materials for Electrochemical Systems. 27(1). 1–7. 2 indexed citations

13.

Alotaibi, Youseef, et al.. (2023). Computational linguistics based text emotion analysis using enhanced beetle antenna search with deep learning during COVID-19 pandemic. PeerJ Computer Science. 9. e1714–e1714. 7 indexed citations

14.

Thanarajan, Tamilvizhi, et al.. (2023). Deep Learning Based Compression with Classification Model on CMOS Image Sensors. Traitement du signal. 40(3). 1163–1170. 22 indexed citations

15.

Thanarajan, Tamilvizhi, et al.. (2023). Eye-Tracking Based Autism Spectrum Disorder Diagnosis Using Chaotic Butterfly Optimization with Deep Learning Model. Computers, materials & continua/Computers, materials & continua (Print). 76(2). 1995–2013. 48 indexed citations

16.

Vaiyapuri, Thavavel, et al.. (2023). Blockchain Assisted Data Edge Verification With Consensus Algorithm for Machine Learning Assisted IoT. IEEE Access. 11. 55370–55379. 29 indexed citations

17.

Vaiyapuri, Thavavel, K. Shankar, Surendran Rajendran, et al.. (2023). Automated cyberattack detection using optimal ensemble deep learning model. Transactions on Emerging Telecommunications Technologies. 35(4). 13 indexed citations

18.

Rajendran, Surendran, et al.. (2022). Intelligent Multi-Agent Reinforcement Learning Based Disease Prediction and Treatment Recommendation Model. 216–221. 6 indexed citations

19.

Rajendran, Surendran, Osamah Ibrahim Khalaf, Youseef Alotaibi, & Saleh Alghamdi. (2021). MapReduce-based big data classification model using feature subset selection and hyperparameter tuned deep belief network. Scientific Reports. 11(1). 24138–24138. 69 indexed citations

20.

Rajendran, Surendran, et al.. (2020). Part design modifications to improve productivity in a dental chewing simulation testing machine. Materials Today Proceedings. 37. 1685–1689. 1 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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