Ananda Shankar Hati

716 total citations
30 papers, 527 citations indexed

About

Ananda Shankar Hati is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Ananda Shankar Hati has authored 30 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 14 papers in Control and Systems Engineering and 10 papers in Mechanical Engineering. Recurrent topics in Ananda Shankar Hati's work include Machine Fault Diagnosis Techniques (11 papers), Power Transformer Diagnostics and Insulation (7 papers) and Oil and Gas Production Techniques (5 papers). Ananda Shankar Hati is often cited by papers focused on Machine Fault Diagnosis Techniques (11 papers), Power Transformer Diagnostics and Insulation (7 papers) and Oil and Gas Production Techniques (5 papers). Ananda Shankar Hati collaborates with scholars based in India, South Korea and United Arab Emirates. Ananda Shankar Hati's co-authors include Prashant Kumar, P Kumar, Prąsun Chakrabarti, Mohamed Benbouzid, Heung Soo Kim, Jemal Abawajy, Wee Keong Ng, Martin Margala, Vadim Bolshev and Владимир Панченко and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Scientific Reports and Applied Energy.

In The Last Decade

Ananda Shankar Hati

28 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ananda Shankar Hati India 11 335 176 130 83 56 30 527
Qiuhua Miao China 8 367 1.1× 259 1.5× 55 0.4× 132 1.6× 44 0.8× 19 577
Jang-Wook Hur South Korea 14 450 1.3× 236 1.3× 148 1.1× 119 1.4× 47 0.8× 85 651
Djamel Benazzouz Algeria 17 495 1.5× 374 2.1× 65 0.5× 191 2.3× 54 1.0× 78 756
Jialin Li China 12 490 1.5× 272 1.5× 78 0.6× 192 2.3× 36 0.6× 30 675
Christos Yiakopoulos Greece 9 329 1.0× 193 1.1× 150 1.2× 103 1.2× 20 0.4× 23 523
Lucas Costa Brito Brazil 6 211 0.6× 233 1.3× 118 0.9× 71 0.9× 26 0.5× 9 453
Jinxin Wu China 13 154 0.5× 112 0.6× 37 0.3× 62 0.7× 51 0.9× 36 384
U. D. Dwivedi India 13 216 0.6× 108 0.6× 280 2.2× 68 0.8× 94 1.7× 28 558
Xudong Li China 8 241 0.7× 156 0.9× 44 0.3× 73 0.9× 17 0.3× 28 499

Countries citing papers authored by Ananda Shankar Hati

Since Specialization
Citations

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

Fields of papers citing papers by Ananda Shankar Hati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ananda Shankar Hati. 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 Ananda Shankar Hati. The network helps show where Ananda Shankar Hati may publish in the future.

Co-authorship network of co-authors of Ananda Shankar Hati

This figure shows the co-authorship network connecting the top 25 collaborators of Ananda Shankar Hati. A scholar is included among the top collaborators of Ananda Shankar Hati 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 Ananda Shankar Hati. Ananda Shankar Hati 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.
Kumar, P, Byungun Yoon, Ananda Shankar Hati, Prashant Kumar, & Prąsun Chakrabarti. (2025). Prediction of energy consumption and airflow of a ventilation system: A SAGA-optimised back-propagation neural network-based approach. Expert Systems with Applications. 297. 129293–129293. 1 indexed citations
2.
Hati, Ananda Shankar, et al.. (2024). Enhanced Visual Identification of Dimensionally Expanded FDS for Transformers Insulation Aging State Assessment. IEEE Transactions on Industry Applications. 61(2). 2103–2114. 1 indexed citations
3.
Hati, Ananda Shankar, et al.. (2024). Residual LSTM-based short duration forecasting of polarization current for effective assessment of transformers insulation. Scientific Reports. 14(1). 1369–1369. 8 indexed citations
4.
5.
Hati, Ananda Shankar, et al.. (2023). Insulation aging condition assessment of transformer in the visual domain based on SE-CNN. Engineering Applications of Artificial Intelligence. 128. 107409–107409. 9 indexed citations
6.
Kumar, Prashant, Ananda Shankar Hati, & P Kumar. (2023). A transfer learning‐based deep convolutional neural network approach for induction machine multiple faults detection. International Journal of Adaptive Control and Signal Processing. 37(9). 2380–2393. 4 indexed citations
7.
Hati, Ananda Shankar, et al.. (2023). Deep Learning-Based Transformer Moisture Diagnostics Using Long Short-Term Memory Networks. Energies. 16(5). 2382–2382. 7 indexed citations
8.
Hati, Ananda Shankar, et al.. (2023). DSVM-Based Model-Free Predictive Current Control of an Induction Motor. Energies. 16(15). 5657–5657. 6 indexed citations
9.
Hati, Ananda Shankar, et al.. (2023). Enhancing Transformer Health Monitoring With AI-Driven Prognostic Diagnosis Trends: Overcoming Traditional Methodology’s Computational Limitations. IEEE Industrial Electronics Magazine. 18(3). 30–44. 7 indexed citations
10.
Kumar, P, Ananda Shankar Hati, & Prashant Kumar. (2023). An adaptive neural fuzzy interface structure optimisation for prediction of energy consumption and airflow of a ventilation system. Applied Energy. 337. 120879–120879. 18 indexed citations
11.
Kumar, Prashant, P Kumar, Ananda Shankar Hati, & Heung Soo Kim. (2022). Deep Transfer Learning Framework for Bearing Fault Detection in Motors. Mathematics. 10(24). 4683–4683. 24 indexed citations
12.
Kumar, P & Ananda Shankar Hati. (2022). Convolutional neural network-long short term memory optimization for accurate prediction of airflow in a ventilation system. Expert Systems with Applications. 195. 116618–116618. 20 indexed citations
13.
Hati, Ananda Shankar, et al.. (2022). Ageing Condition Assessment of Transformer Insulation in Visual Domain Using DCNN. 1–4. 1 indexed citations
14.
Hati, Ananda Shankar, et al.. (2021). ANN-Based Pattern Recognition for Induction Motor Broken Rotor Bar Monitoring under Supply Frequency Regulation. Machines. 9(5). 87–87. 24 indexed citations
15.
Kumar, P, Ananda Shankar Hati, Prąsun Chakrabarti, Jemal Abawajy, & Wee Keong Ng. (2021). Development of energy efficient drive for ventilation system using recurrent neural network. Neural Computing and Applications. 33(14). 8659–8668. 23 indexed citations
16.
Kumar, Prashant & Ananda Shankar Hati. (2021). Transfer learning-based deep CNN model for multiple faults detection in SCIM. Neural Computing and Applications. 33(22). 15851–15862. 22 indexed citations
17.
Kumar, Prashant & Ananda Shankar Hati. (2021). Dilated convolutional neural network based model for bearing faults and broken rotor bar detection in squirrel cage induction motors. Expert Systems with Applications. 191. 116290–116290. 44 indexed citations
18.
Kumar, Prashant & Ananda Shankar Hati. (2020). Deep convolutional neural network based on adaptive gradient optimizer for fault detection in SCIM. ISA Transactions. 111. 350–359. 62 indexed citations
19.
Kumar, Prashant & Ananda Shankar Hati. (2020). Review on Machine Learning Algorithm Based Fault Detection in Induction Motors. Archives of Computational Methods in Engineering. 28(3). 1929–1940. 136 indexed citations
20.

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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