Ekta Sharma

797 total citations
24 papers, 436 citations indexed

About

Ekta Sharma is a scholar working on Environmental Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Ekta Sharma has authored 24 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Environmental Engineering, 9 papers in Electrical and Electronic Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Ekta Sharma's work include Air Quality Monitoring and Forecasting (6 papers), Energy Load and Power Forecasting (5 papers) and Air Quality and Health Impacts (4 papers). Ekta Sharma is often cited by papers focused on Air Quality Monitoring and Forecasting (6 papers), Energy Load and Power Forecasting (5 papers) and Air Quality and Health Impacts (4 papers). Ekta Sharma collaborates with scholars based in Australia, Spain and India. Ekta Sharma's co-authors include Ravinesh C. Deo, Ramendra Prasad, Alfio V. Parisi, Mumtaz Ali, Nawin Raj, Sancho Salcedo‐Sanz, David Casillas-Pérez, Sujan Ghimire, A. A. Masrur Ahmed and Jeffrey Soar and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Applied Energy.

In The Last Decade

Ekta Sharma

22 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ekta Sharma Australia 11 201 111 104 97 52 24 436
Jorge Garcı́a-Vidal Spain 15 278 1.4× 168 1.5× 175 1.7× 85 0.9× 67 1.3× 52 649
Ke Hu China 11 205 1.0× 132 1.2× 71 0.7× 35 0.4× 69 1.3× 30 439
Miao Hua China 6 171 0.9× 121 1.1× 75 0.7× 40 0.4× 63 1.2× 21 378
Xinghan Xu China 10 186 0.9× 237 2.1× 63 0.6× 83 0.9× 58 1.1× 13 469
Hongbin Dai China 13 214 1.1× 183 1.6× 85 0.8× 80 0.8× 77 1.5× 19 554
Hanwen Zhang China 13 154 0.8× 114 1.0× 84 0.8× 46 0.5× 69 1.3× 51 458
Namal Rathnayake Japan 12 171 0.9× 36 0.3× 38 0.4× 68 0.7× 22 0.4× 41 411
Jianling Zhou China 8 259 1.3× 176 1.6× 49 0.5× 21 0.2× 72 1.4× 15 380
Liqun Liu China 13 112 0.6× 278 2.5× 56 0.5× 61 0.6× 48 0.9× 36 593

Countries citing papers authored by Ekta Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Ekta Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ekta Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Ekta Sharma. A scholar is included among the top collaborators of Ekta Sharma 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 Ekta Sharma. Ekta Sharma 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.
Sharma, Ekta, Massimo Salvi, Ru‐San Tan, et al.. (2025). A systematic review for artificial intelligence-driven assistive technologies to support children with neurodevelopmental disorders. Information Fusion. 124. 103441–103441. 1 indexed citations
2.
AL‐Musaylh, Mohanad S., et al.. (2025). Predicting near-real-time total water level with an artificial intelligence model based on Australia’s tidal wave energy belt dataset. Journal of Ocean Engineering and Marine Energy. 11(3). 679–699. 1 indexed citations
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Sharma, Ekta, et al.. (2024). Artificial Intelligence-Empowered Doppler Weather Profile for Low-Earth-Orbit Satellites. Sensors. 24(16). 5271–5271. 1 indexed citations
5.
Deo, Ravinesh C., et al.. (2024). End-to-end learning of adaptive coded modulation schemes for resilient wireless communications. Applied Soft Computing. 159. 111672–111672. 2 indexed citations
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Ghimire, Sujan, Ravinesh C. Deo, David Casillas-Pérez, et al.. (2024). Half-hourly electricity price prediction with a hybrid convolution neural network-random vector functional link deep learning approach. Applied Energy. 374. 123920–123920. 16 indexed citations
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Jamei, Mehdi, Mumtaz Ali, Masoud Karbasi, et al.. (2023). A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture. Engineering Applications of Artificial Intelligence. 120. 105895–105895. 32 indexed citations
11.
Ahmed, A. A. Masrur, et al.. (2023). An advanced deep learning predictive model for air quality index forecasting with remote satellite-derived hydro-climatological variables. The Science of The Total Environment. 906. 167234–167234. 26 indexed citations
12.
Sharma, Ekta, Ravinesh C. Deo, Jeffrey Soar, et al.. (2022). Novel hybrid deep learning model for satellite based PM10 forecasting in the most polluted Australian hotspots. Atmospheric Environment. 279. 119111–119111. 41 indexed citations
13.
Ahmed, A. A. Masrur, et al.. (2022). Spatiotemporal Hybrid Random Forest Model for Tea Yield Prediction Using Satellite-Derived Variables. Remote Sensing. 14(3). 805–805. 28 indexed citations
14.
Ahmed, A. A. Masrur, et al.. (2022). Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors. Remote Sensing. 14(5). 1136–1136. 29 indexed citations
15.
Ghimire, Sujan, Ravinesh C. Deo, David Casillas-Pérez, et al.. (2022). Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction. Measurement. 202. 111759–111759. 76 indexed citations
16.
Sharma, Ekta, Ravinesh C. Deo, Ramendra Prasad, Alfio V. Parisi, & Nawin Raj. (2020). Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks. IEEE Access. 8. 209503–209516. 40 indexed citations
17.
Sharma, Ekta, Ravinesh C. Deo, Ramendra Prasad, & Alfio V. Parisi. (2019). A hybrid air quality early-warning framework: An hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms. The Science of The Total Environment. 709. 135934–135934. 75 indexed citations
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Sharma, Ekta, et al.. (2016). A Survey on the MRF model using image segmentation Techniques. International journal of advance research and innovative ideas in education. 2(3). 66–71. 1 indexed citations
20.
Chauhan, Shivani, et al.. (2016). Binarization techniques for degraded document images — A review. 163–166. 21 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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