Prasanna Tamilselvan

749 total citations · 1 hit paper
14 papers, 608 citations indexed

About

Prasanna Tamilselvan is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality and Artificial Intelligence. According to data from OpenAlex, Prasanna Tamilselvan has authored 14 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 4 papers in Safety, Risk, Reliability and Quality and 4 papers in Artificial Intelligence. Recurrent topics in Prasanna Tamilselvan's work include Machine Fault Diagnosis Techniques (9 papers), Fault Detection and Control Systems (6 papers) and Power System Reliability and Maintenance (4 papers). Prasanna Tamilselvan is often cited by papers focused on Machine Fault Diagnosis Techniques (9 papers), Fault Detection and Control Systems (6 papers) and Power System Reliability and Maintenance (4 papers). Prasanna Tamilselvan collaborates with scholars based in United States and South Korea. Prasanna Tamilselvan's co-authors include Pingfeng Wang, Byeng D. Youn, Michael Pecht, Chao Hu, Yibin Wang, Janet Twomey and Shuangwen Sheng and has published in prestigious journals such as Mechanical Systems and Signal Processing, Reliability Engineering & System Safety and Engineering Applications of Artificial Intelligence.

In The Last Decade

Prasanna Tamilselvan

14 papers receiving 587 citations

Hit Papers

align trajectories

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.

Failure diagnosis using deep belief learning based health state classification

2013 517 citations Prasanna Tamilselvan, Pingfeng Wang Reliability Engineering & System Safety profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Prasanna Tamilselvan United States	7	427	218	139	83	80	14	608
Changchang Che China	14	509 1.2×	287 1.3×	193 1.4×	96 1.2×	51 0.6×	30	739
Chengying Zhao China	13	339 0.8×	233 1.1×	115 0.8×	56 0.7×	67 0.8×	30	544
Song Fu China	12	478 1.1×	205 0.9×	153 1.1×	157 1.9×	59 0.7×	36	759
Qinghua Zhang China	12	567 1.3×	301 1.4×	198 1.4×	101 1.2×	67 0.8×	44	728
Seokgoo Kim South Korea	15	412 1.0×	284 1.3×	124 0.9×	52 0.6×	72 0.9×	29	626
Jianyu Wang China	14	600 1.4×	348 1.6×	169 1.2×	129 1.6×	93 1.2×	40	783
Aisong Qin China	14	553 1.3×	279 1.3×	200 1.4×	127 1.5×	65 0.8×	30	713
Gang Niu China	12	345 0.8×	192 0.9×	102 0.7×	37 0.4×	80 1.0×	20	488
Djamel Benazzouz Algeria	17	495 1.2×	374 1.7×	191 1.4×	51 0.6×	65 0.8×	78	756

Countries citing papers authored by Prasanna Tamilselvan

Since Specialization

Citations

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

Fields of papers citing papers by Prasanna Tamilselvan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prasanna Tamilselvan

This figure shows the co-authorship network connecting the top 25 collaborators of Prasanna Tamilselvan. A scholar is included among the top collaborators of Prasanna Tamilselvan 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 Prasanna Tamilselvan. Prasanna Tamilselvan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Tamilselvan, Prasanna, Pingfeng Wang, Shuangwen Sheng, & Janet Twomey. (2020). A Two-Stage Diagnosis Framework for Wind Turbine Gearbox Condition Monitoring. International Journal of Prognostics and Health Management. 4(3). 10 indexed citations

Wang, Pingfeng, et al.. (2015). A Generic Fusion Platform of Failure Diagnostics for Resilient Engineering System Design. Holmes Museum Of Anthropology (Wichita State University). 1 indexed citations

Wang, Pingfeng, Prasanna Tamilselvan, & Chao Hu. (2014). Health diagnostics using multi-attribute classification fusion. Engineering Applications of Artificial Intelligence. 32. 192–202. 18 indexed citations

Tamilselvan, Prasanna & Pingfeng Wang. (2014). A tri-fold hybrid classification approach for diagnostics with unexampled faulty states. Mechanical Systems and Signal Processing. 50-51. 437–455. 3 indexed citations

Wang, Pingfeng, Prasanna Tamilselvan, Janet Twomey, & Byeng D. Youn. (2013). Prognosis-informed wind farm operation and maintenance for concurrent economic and environmental benefits. International Journal of Precision Engineering and Manufacturing. 14(6). 1049–1056. 8 indexed citations

Tamilselvan, Prasanna & Pingfeng Wang. (2013). A Multi-attribute Classification Fusion System for Structural Health Diagnostics. 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 1 indexed citations

Tamilselvan, Prasanna & Pingfeng Wang. (2013). Failure diagnosis using deep belief learning based health state classification. Reliability Engineering & System Safety. 115. 124–135. 517 indexed citations breakdown →

Tamilselvan, Prasanna, Pingfeng Wang, & Michael Pecht. (2013). A multi-attribute classification fusion system for insulated gate bipolar transistor diagnostics. Microelectronics Reliability. 53(8). 1117–1129. 17 indexed citations

Tamilselvan, Prasanna & Pingfeng Wang. (2012). Structural Health Diagnosis Using Deep Belief Network Based State Classification. 1 indexed citations

10.

Tamilselvan, Prasanna, Yibin Wang, Pingfeng Wang, & Janet Twomey. (2012). Prognosis Informed Stochastic Decision Making Framework for Operation and Maintenance of Wind Turbines. Holmes Museum Of Anthropology (Wichita State University). 389–396. 1 indexed citations

11.

Tamilselvan, Prasanna & Pingfeng Wang. (2012). A Hybrid Inference Approach for Health Diagnostics With Unexampled Faulty States. 349–360. 1 indexed citations

12.

Tamilselvan, Prasanna, Yibin Wang, & Pingfeng Wang. (2012). Optimization of wind turbines operation and maintenance using failure prognosis. 1–9. 15 indexed citations

13.

Tamilselvan, Prasanna, Yibin Wang, & Pingfeng Wang. (2012). Prognosis Informed Design Framework for Operation and Maintenance of Wind Turbines. 291–298. 1 indexed citations

14.

Tamilselvan, Prasanna, Pingfeng Wang, & Byeng D. Youn. (2011). Multi-Sensor Health Diagnosis Using Deep Belief Network Based State Classification. Holmes Museum Of Anthropology (Wichita State University). 749–758. 14 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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