Debashisha Jena

2.3k total citations
121 papers, 1.7k citations indexed

About

Debashisha Jena is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Debashisha Jena has authored 121 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Electrical and Electronic Engineering, 47 papers in Control and Systems Engineering and 28 papers in Artificial Intelligence. Recurrent topics in Debashisha Jena's work include Advanced DC-DC Converters (28 papers), Multilevel Inverters and Converters (24 papers) and Microgrid Control and Optimization (22 papers). Debashisha Jena is often cited by papers focused on Advanced DC-DC Converters (28 papers), Multilevel Inverters and Converters (24 papers) and Microgrid Control and Optimization (22 papers). Debashisha Jena collaborates with scholars based in India, Chile and Kazakhstan. Debashisha Jena's co-authors include B Rajanarayan Prusty, Saravanakumar Rajendran, Bidyadhar Subudhi, Tukaram Moger, Matias Díaz, Madan M. Gupta, José Rodríguez, P. Parthiban, Ki‐Young Song and Manoj Kumar Sahu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and IEEE Transactions on Power Systems.

In The Last Decade

Debashisha Jena

113 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debashisha Jena India 21 1.1k 685 382 218 181 121 1.7k
Huan Long China 20 852 0.8× 527 0.8× 375 1.0× 244 1.1× 132 0.7× 71 1.5k
Tianyao Ji China 29 1.9k 1.7× 1.0k 1.5× 224 0.6× 100 0.5× 304 1.7× 171 2.4k
R. Wamkeue Canada 19 922 0.8× 800 1.2× 281 0.7× 137 0.6× 106 0.6× 93 1.6k
Zongxiang Lu China 25 2.4k 2.1× 899 1.3× 307 0.8× 140 0.6× 214 1.2× 132 2.6k
G.S. Stavrakakis Greece 17 862 0.8× 497 0.7× 250 0.7× 120 0.6× 39 0.2× 40 1.5k
Yuanzhang Sun China 30 3.1k 2.8× 1.5k 2.2× 251 0.7× 206 0.9× 491 2.7× 160 3.5k
Whei-Min Lin Taiwan 27 2.6k 2.3× 1.2k 1.7× 403 1.1× 175 0.8× 125 0.7× 89 3.0k
Alberto Pliego Marugán Spain 15 426 0.4× 338 0.5× 274 0.7× 216 1.0× 126 0.7× 27 1.3k
Wei Hu China 22 1.5k 1.4× 773 1.1× 246 0.6× 79 0.4× 251 1.4× 134 1.9k
Haidar Samet Iran 28 2.2k 1.9× 1.4k 2.1× 344 0.9× 58 0.3× 233 1.3× 152 2.9k

Countries citing papers authored by Debashisha Jena

Since Specialization
Citations

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

Fields of papers citing papers by Debashisha Jena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debashisha Jena

This figure shows the co-authorship network connecting the top 25 collaborators of Debashisha Jena. A scholar is included among the top collaborators of Debashisha Jena 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 Debashisha Jena. Debashisha Jena 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.
Moger, Tukaram, et al.. (2025). Maximum entropy based probabilistic load flow for assessing input uncertainties and line outages in wind-integrated power systems. Electric Power Systems Research. 244. 111528–111528.
2.
Moger, Tukaram, et al.. (2025). Solar Irradiance Forecasting Performance Enhancement Using Hybrid Fuzzy-Based CNN-BiLSTM-Transformer Model. IEEE Access. 13. 186795–186810. 1 indexed citations
3.
Jena, Debashisha, et al.. (2024). Dynamic mode decomposition based fault diagnosis in three-phase electrical machines. Results in Engineering. 25. 103761–103761. 3 indexed citations
4.
Jena, Debashisha, et al.. (2024). Design of modified complementary terminal sliding mode controller for wind turbine at region II using a two-mass model. Results in Engineering. 24. 103026–103026. 5 indexed citations
5.
Jena, Debashisha, et al.. (2024). A survey on load frequency control using reinforcement learning-based data-driven controller. Applied Soft Computing. 166. 112203–112203. 9 indexed citations
6.
Moger, Tukaram, et al.. (2024). Solar irradiation forecast enhancement using clustering based CNN-BiLSTM-attention hybrid architecture with PSO. International Journal of Ambient Energy. 45(1).
7.
8.
Moger, Tukaram, et al.. (2023). Solar Irradiation Prediction Hybrid Framework Using Regularized Convolutional BiLSTM-Based Autoencoder Approach. IEEE Access. 11. 131362–131375. 6 indexed citations
9.
10.
Rajendran, Saravanakumar, et al.. (2023). Wind Turbine Emulators—A Review. Processes. 11(3). 747–747. 9 indexed citations
11.
Rajendran, Saravanakumar, Debashisha Jena, Matias Díaz, & José Rodríguez. (2023). Terminal Integral Synergetic Control for Wind Turbine at Region II Using a Two-Mass Model. Processes. 11(2). 616–616. 11 indexed citations
12.
Jena, Debashisha, et al.. (2022). Semi-Г Type Single Phase Differential Boost Inverter With High Voltage Gain. IEEE Transactions on Circuits & Systems II Express Briefs. 70(4). 1495–1499. 1 indexed citations
13.
Jena, Debashisha, et al.. (2022). Improved Gamma type Y-source inverter for rooftop PV based V-G applications. International Journal of Electrical Power & Energy Systems. 142. 108261–108261. 3 indexed citations
14.
Jena, Debashisha, et al.. (2021). A Correlative Investigation of Impedance Source Networks: A Comprehensive Review. IETE Technical Review. 39(3). 506–539. 6 indexed citations
15.
Jena, Debashisha, et al.. (2020). A cost‐effective single‐phase semi flipped gamma type magnetically coupled impedance source inverters. International Journal of Circuit Theory and Applications. 49(4). 1078–1102. 2 indexed citations
16.
Jena, Debashisha, et al.. (2020). Analysis, Design, and Performance Evaluation of Differential-Mode Y-Source Converters for Voltage Spikes Mitigation. IEEE Transactions on Industry Applications. 56(6). 6701–6710. 15 indexed citations
17.
Jena, Debashisha, et al.. (2019). A Negative Embedded Differential Mode Γ-Source Inverter With Reduced Switching Spikes. IEEE Transactions on Circuits & Systems II Express Briefs. 67(10). 2009–2013. 14 indexed citations
18.
Jena, Debashisha, et al.. (2018). A critical analysis of Z-source converters considering the effects of internal resistances. International Journal of Electronics. 105(10). 1785–1803. 4 indexed citations
19.
Jena, Debashisha, et al.. (2015). An Accurate Modeling of Photovoltaic System for Uniform and Non-Uniform Irradiance. International Journal of Renewable Energy Research. 5(1). 29–40. 2 indexed citations
20.
Subudhi, Bidyadhar & Debashisha Jena. (2009). Differential evolution applied to parameter estimation of induction motor. Archives of Control Sciences. 19(1). 59–80. 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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