Logeeshan Velmanickam

435 total citations
49 papers, 268 citations indexed

About

Logeeshan Velmanickam is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Logeeshan Velmanickam has authored 49 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 21 papers in Electrical and Electronic Engineering and 12 papers in Control and Systems Engineering. Recurrent topics in Logeeshan Velmanickam's work include Microfluidic and Bio-sensing Technologies (16 papers), Microfluidic and Capillary Electrophoresis Applications (11 papers) and Advanced biosensing and bioanalysis techniques (10 papers). Logeeshan Velmanickam is often cited by papers focused on Microfluidic and Bio-sensing Technologies (16 papers), Microfluidic and Capillary Electrophoresis Applications (11 papers) and Advanced biosensing and bioanalysis techniques (10 papers). Logeeshan Velmanickam collaborates with scholars based in Sri Lanka, United States and Germany. Logeeshan Velmanickam's co-authors include Dharmakeerthi Nawarathna, Ivan T. Lima, Chathura Wanigasekara, Dinesh Attygalle, D.A.S. Amarasinghe, Yasanandana S. Wijayasinghe, Sisil Kumarawadu, Glenn Dorsam, Kasun Bandara and S. Saravanan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Logeeshan Velmanickam

45 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Logeeshan Velmanickam Sri Lanka 10 140 101 79 32 17 49 268
Xiaoyi Lü China 10 87 0.6× 87 0.9× 89 1.1× 4 0.1× 21 1.2× 32 367
Xinjiang Chen China 11 47 0.3× 102 1.0× 26 0.3× 19 0.6× 22 1.3× 30 316
Kaige Liu China 8 45 0.3× 48 0.5× 31 0.4× 11 0.3× 35 2.1× 30 221
Hao-Wei Su China 5 288 2.1× 87 0.9× 17 0.2× 46 1.4× 3 0.2× 10 395
Mario A. Saucedo‐Espinosa United States 11 296 2.1× 156 1.5× 67 0.8× 6 0.2× 6 0.4× 20 377
Jeongmin Oh South Korea 11 115 0.8× 102 1.0× 31 0.4× 14 0.4× 33 1.9× 28 304
Ziyang Zhu China 9 64 0.5× 125 1.2× 35 0.4× 6 0.2× 11 0.6× 15 311
Xianjun Fan China 11 100 0.7× 36 0.4× 107 1.4× 9 0.3× 4 0.2× 16 276
Yuqi Wang China 12 110 0.8× 35 0.3× 161 2.0× 11 0.3× 9 0.5× 25 376

Countries citing papers authored by Logeeshan Velmanickam

Since Specialization
Citations

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

Fields of papers citing papers by Logeeshan Velmanickam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Logeeshan Velmanickam

This figure shows the co-authorship network connecting the top 25 collaborators of Logeeshan Velmanickam. A scholar is included among the top collaborators of Logeeshan Velmanickam 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 Logeeshan Velmanickam. Logeeshan Velmanickam 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.
Velmanickam, Logeeshan, et al.. (2025). Mitigating Cyber Risks in Smart Cyber-Physical Power Systems Through Deep Learning and Hybrid Security Models. IEEE Access. 13. 37474–37492. 2 indexed citations
2.
3.
Velmanickam, Logeeshan, et al.. (2024). Development of Deep Learning Model to Detect Cyber-Attacks within Vehicular Networks. elib (German Aerospace Center). 569–574. 1 indexed citations
4.
Velmanickam, Logeeshan, et al.. (2024). Accurate Prediction of Remaining Useful Life for Lithium-ion Battery Cells Using Deep Neural Networks. elib (German Aerospace Center). 562–568. 1 indexed citations
5.
Saravanan, S., et al.. (2024). NILM for Commercial Buildings: Deep Neural Networks Tackling Nonlinear and Multi-Phase Loads. Energies. 17(15). 3802–3802. 3 indexed citations
6.
Velmanickam, Logeeshan & Dharmakeerthi Nawarathna. (2024). Recent progress in microRNA detection using integrated electric fields and optical detection methods. SHILAP Revista de lepidopterología. 3. 1 indexed citations
7.
Velmanickam, Logeeshan, et al.. (2024). Design and Analysis of a Three-Phase Interleaved DC-DC Boost Converter with an Energy Storage System for a PV System. Energies. 17(1). 250–250. 9 indexed citations
8.
Velmanickam, Logeeshan, et al.. (2023). Neural Network-Based Pipeline for Detection of Sensor Anomalies in Battery Energy Storage Systems. 317–322. 1 indexed citations
9.
10.
Velmanickam, Logeeshan, et al.. (2023). A Secure and Smart Home Automation System with Speech Recognition and Power Measurement Capabilities. Sensors. 23(13). 5784–5784. 15 indexed citations
11.
Kumarawadu, Sisil, et al.. (2023). A Data-Driven Approach Based on Artificial Neural Networks for the Detection and Classification of Bearing Anomalies in Power Generation Plants. elib (German Aerospace Center). 415–420. 1 indexed citations
12.
Velmanickam, Logeeshan, et al.. (2022). Automated Medicinal-Pill Dispenser with Cellular and Wi-Fi IoT Integration. 1–7. 4 indexed citations
13.
Velmanickam, Logeeshan, et al.. (2021). Optimum wind turbine design and analysis to harvest wind energy from fast-moving vehicles on highways. 7–12. 2 indexed citations
14.
Velmanickam, Logeeshan, et al.. (2021). Low-cost and Rapid micro-RNA Assay for Identification of Pancreactic Cancer. 1–2. 1 indexed citations
15.
Velmanickam, Logeeshan, Ivan T. Lima, & Dharmakeerthi Nawarathna. (2020). Achieving over million-fold fluorescence enhancement for biosensing applications. 1–2. 2 indexed citations
16.
Velmanickam, Logeeshan, Ivan T. Lima, & Dharmakeerthi Nawarathna. (2019). External low frequency electric fields maximize the fluorescence enhancement through light-metal-fluorophore interactions of target biomolecules. 28–28. 1 indexed citations
17.
Velmanickam, Logeeshan, et al.. (2018). iLluminate-miRNA : Paradigm for high-throughput, low-cost, and sensitive miRNA detection in serum samples at point-of-care. Journal of Physics D Applied Physics. 52(5). 55401–55401. 19 indexed citations
18.
Velmanickam, Logeeshan, et al.. (2018). Integrated dielectrophoresis and fluorescence-based platform for biomarker detection from serum samples. Biomedical Physics & Engineering Express. 4(2). 25018–25018. 5 indexed citations
19.
Velmanickam, Logeeshan, et al.. (2018). Biosensor for Pancreatic Cancer Biomarker Based on Dielectrophoresis and Image Processing. 1–2. 3 indexed citations
20.
Velmanickam, Logeeshan, et al.. (2016). Dielectrophoretic label-free immunoassay for rare-analyte quantification in biological samples. Physical review. E. 94(4). 42408–42408. 13 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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