K. Gnana Sheela

1.3k total citations · 1 hit paper
26 papers, 971 citations indexed

About

K. Gnana Sheela is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, K. Gnana Sheela has authored 26 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 11 papers in Artificial Intelligence and 4 papers in Control and Systems Engineering. Recurrent topics in K. Gnana Sheela's work include Energy Load and Power Forecasting (10 papers), Multilevel Inverters and Converters (6 papers) and Advanced DC-DC Converters (6 papers). K. Gnana Sheela is often cited by papers focused on Energy Load and Power Forecasting (10 papers), Multilevel Inverters and Converters (6 papers) and Advanced DC-DC Converters (6 papers). K. Gnana Sheela collaborates with scholars based in India and United Kingdom. K. Gnana Sheela's co-authors include S. N. Deepa and has published in prestigious journals such as Neurocomputing, Soft Computing and Materials Today Proceedings.

In The Last Decade

K. Gnana Sheela

24 papers receiving 931 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.

Review on Methods to Fix Number of Hidden Neurons in Neural Networks

2013 733 citations K. Gnana Sheela, S. N. Deepa Mathematical Problems in Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K. Gnana Sheela India	9	276	211	124	111	109	26	971
Greg Van Houdt Belgium	3	229 0.8×	289 1.4×	92 0.7×	125 1.1×	128 1.2×	4	1.2k
Arnaud De Myttenaere France	2	189 0.7×	153 0.7×	108 0.9×	61 0.5×	98 0.9×	2	936
Boris Golden France	3	189 0.7×	153 0.7×	108 0.9×	61 0.5×	98 0.9×	5	945
Chunyang Su China	11	186 0.7×	378 1.8×	134 1.1×	167 1.5×	107 1.0×	21	1.2k
Zhiming Liu China	18	209 0.8×	145 0.7×	124 1.0×	69 0.6×	70 0.6×	84	1.2k
Grazia Lo Sciuto Italy	18	236 0.9×	178 0.8×	65 0.5×	75 0.7×	93 0.9×	83	1.1k
Qi Liao China	20	559 2.0×	156 0.7×	196 1.6×	135 1.2×	176 1.6×	76	1.3k
Oğuz Kaynar Türkiye	14	229 0.8×	198 0.9×	144 1.2×	54 0.5×	178 1.6×	50	1.2k
Dalwinder Singh India	10	135 0.5×	420 2.0×	106 0.9×	80 0.7×	97 0.9×	21	1.4k

Countries citing papers authored by K. Gnana Sheela

Since Specialization

Citations

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

Fields of papers citing papers by K. Gnana Sheela

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Gnana Sheela. 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 K. Gnana Sheela. The network helps show where K. Gnana Sheela may publish in the future.

Co-authorship network of co-authors of K. Gnana Sheela

This figure shows the co-authorship network connecting the top 25 collaborators of K. Gnana Sheela. A scholar is included among the top collaborators of K. Gnana Sheela 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 K. Gnana Sheela. K. Gnana Sheela 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

1.

Sheela, K. Gnana, et al.. (2023). Energy efficiency evaluation of a three-phase extendable-level inverter. Engineering Research Express. 5(1). 15060–15060. 2 indexed citations

2.

Sheela, K. Gnana, et al.. (2023). Global Maximum Power Point Tracking of Photovoltaic Systems Using Bio-inspired Algorithm-Based MPPT and One-Cycle Control. Arabian Journal for Science and Engineering. 49(5). 6799–6814. 2 indexed citations

3.

Sheela, K. Gnana, et al.. (2021). A reduced switch extendable-level inverter-fed open-end winding PMSM drive. Electrical Engineering. 103(4). 2057–2074. 6 indexed citations

4.

Sheela, K. Gnana, et al.. (2021). Review of reduced‐switch multilevel inverters for electric vehicle applications. International Journal of Circuit Theory and Applications. 49(9). 3053–3110. 27 indexed citations

5.

Sheela, K. Gnana, et al.. (2021). FPGA-Based Reduced Switch Novel Infinite-Level Inverter. Journal of Circuits Systems and Computers. 30(16). 3 indexed citations

6.

Sheela, K. Gnana, et al.. (2020). An Improved SEPIC- Based Single Switch Buck-Boost PFC Converter Fed Brushless DC Motor Drive. Materials Today Proceedings. 24. 1855–1864. 6 indexed citations

7.

Sheela, K. Gnana, et al.. (2020). A differential triple band antenna based Energy Harvesting System. Materials Today Proceedings. 24. 1932–1938.

8.

Sheela, K. Gnana, et al.. (2020). Machine Learning based Health Monitoring System. Materials Today Proceedings. 24. 1788–1794. 21 indexed citations

9.

Sheela, K. Gnana, et al.. (2020). Review of PV fed water pumping systems using BLDC Motor. Materials Today Proceedings. 24. 1874–1881. 17 indexed citations

10.

Sheela, K. Gnana, et al.. (2020). Review on Bio-Inspired Modular Robotic System. Materials Today Proceedings. 24. 1918–1923. 3 indexed citations

11.

Sheela, K. Gnana, et al.. (2019). An Integrated Single-Stage Converter fed Sensor-less Motor Drive. International Journal of Recent Technology and Engineering (IJRTE). 8(2). 21–25. 1 indexed citations

12.

Sheela, K. Gnana, et al.. (2015). Performance analysis of turbo encoder in digital communication. 614–618.

13.

Sheela, K. Gnana & S. N. Deepa. (2014). New criteria to fix number of hidden neurons in multilayer perceptron networks for wind speed prediction. Wind and Structures. 18(6). 619–631. 4 indexed citations

14.

Sheela, K. Gnana & S. N. Deepa. (2013). A Review on Neural Network Models for Wind Speed Prediction. Wind Engineering. 37(2). 111–123. 8 indexed citations

15.

Sheela, K. Gnana & S. N. Deepa. (2013). Review on Methods to Fix Number of Hidden Neurons in Neural Networks. Mathematical Problems in Engineering. 2013. 1–11. 733 indexed citations breakdown →

16.

Sheela, K. Gnana & S. N. Deepa. (2013). Neural network based hybrid computing model for wind speed prediction. Neurocomputing. 122. 425–429. 81 indexed citations

17.

Sheela, K. Gnana & S. N. Deepa. (2013). A New algorithm to find number of hidden neurons in Radial Basis Function Networks for Wind Speed Prediction in Renewable Energy Systems. 15(3). 30–37. 4 indexed citations

18.

Sheela, K. Gnana & S. N. Deepa. (2012). Performance analysis of modeling framework for wind speed prediction in wind farms. Scientific Research and Essays. 7(48). 4138–4145. 1 indexed citations

19.

Sheela, K. Gnana & S. N. Deepa. (2012). An efficient hybrid neural network model in renewable energy systems. 359–361. 9 indexed citations

20.

Sheela, K. Gnana & S. N. Deepa. (2012). An efficient computing model for renewable energy systems. 22. 409–412. 2 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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