Elena Mocanu

2.1k total citations · 2 hit papers
29 papers, 1.4k citations indexed

About

Elena Mocanu is a scholar working on Electrical and Electronic Engineering, Building and Construction and Artificial Intelligence. According to data from OpenAlex, Elena Mocanu has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 14 papers in Building and Construction and 8 papers in Artificial Intelligence. Recurrent topics in Elena Mocanu's work include Smart Grid Energy Management (15 papers), Building Energy and Comfort Optimization (11 papers) and Energy Load and Power Forecasting (11 papers). Elena Mocanu is often cited by papers focused on Smart Grid Energy Management (15 papers), Building Energy and Comfort Optimization (11 papers) and Energy Load and Power Forecasting (11 papers). Elena Mocanu collaborates with scholars based in Netherlands, United States and Denmark. Elena Mocanu's co-authors include Madeleine Gibescu, Phuong H. Nguyen, W.L. Kling, Decebal Constantin Mocanu, Antonio Liotta, J.G. Slootweg, Michael E. Webber, Nikolaos G. Paterakis, René Kamphuis and Giorgio Sulligoi and has published in prestigious journals such as Energy and Buildings, IEEE Transactions on Smart Grid and IEEE Transactions on Industrial Informatics.

In The Last Decade

Elena Mocanu

28 papers receiving 1.4k 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.

Deep learning for estimating building energy consumption

2016 478 citations Elena Mocanu, Phuong H. Nguyen et al. profile →
On-Line Building Energy Optimization Using Deep Reinforcement Learning

2018 449 citations Elena Mocanu, Decebal Constantin Mocanu et al. IEEE Transactions on Smart Grid profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elena Mocanu Netherlands	12	1.1k	522	327	243	172	29	1.4k
Arash Moradzadeh Iran	22	899 0.8×	241 0.5×	395 1.2×	245 1.0×	193 1.1×	44	1.3k
Mehdi Maasoumy United States	20	591 0.6×	616 1.2×	493 1.5×	158 0.7×	146 0.8×	34	1.3k
Stephen Makonin Canada	16	1.3k 1.2×	562 1.1×	325 1.0×	190 0.8×	260 1.5×	39	1.5k
Minghao Xu United Kingdom	6	881 0.8×	200 0.4×	119 0.4×	199 0.8×	69 0.4×	13	998
Abdulaziz Almalaq Saudi Arabia	18	657 0.6×	112 0.2×	258 0.8×	219 0.9×	152 0.9×	37	939
Javier M. Aguiar Spain	17	1.1k 1.1×	170 0.3×	265 0.8×	355 1.5×	83 0.5×	38	1.5k
Muhammad Qamar Raza Australia	14	1.4k 1.3×	214 0.4×	259 0.8×	789 3.2×	496 2.9×	28	1.7k
Ghulam Hafeez Pakistan	27	1.9k 1.8×	254 0.5×	1.1k 3.3×	181 0.7×	263 1.5×	78	2.3k
Lulu Wen China	11	820 0.8×	161 0.3×	193 0.6×	169 0.7×	131 0.8×	16	1.0k

Countries citing papers authored by Elena Mocanu

Since Specialization

Citations

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

Fields of papers citing papers by Elena Mocanu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elena Mocanu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Yushuai, et al.. (2024). Digital Twin-Empowered Autonomous Driving for E-mobility: Concept, framework, and modeling. IEEE Electrification Magazine. 12(3). 68–77. 3 indexed citations

Liu, Shiwei, Decebal Constantin Mocanu, Elena Mocanu, et al.. (2024). E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation. Open Repository and Bibliography (University of Luxembourg). 118483–118512. 1 indexed citations

Mocanu, Elena, et al.. (2022). Dynamic Sparse Training for Deep Reinforcement Learning. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 3437–3443. 11 indexed citations

Mocanu, Elena, et al.. (2020). Effectiveness of neural language models for word prediction of textual mammography reports. University of Twente Research Information. 1596–1603. 4 indexed citations

Mocanu, Elena, et al.. (2019). Airport Restroom Cleanliness Prediction Using Real Time User Feedback Data. University of Twente Research Information. 1–10.

Mocanu, Elena, et al.. (2019). Collaborative learning for classification and prediction of building energy flexibility. TU/e Research Portal. 1–5. 3 indexed citations

Mocanu, Elena, Decebal Constantin Mocanu, Phuong H. Nguyen, et al.. (2018). On-Line Building Energy Optimization Using Deep Reinforcement Learning. IEEE Transactions on Smart Grid. 10(4). 3698–3708. 449 indexed citations breakdown →

Mocanu, Elena, et al.. (2018). Statistical Learning versus Deep Learning: Performance Comparison for Building Energy Prediction Methods. TU/e Research Portal (Eindhoven University of Technology). 9 indexed citations

Bosich, Daniele, Giorgio Sulligoi, Elena Mocanu, & Madeleine Gibescu. (2018). Medium Voltage DC Power Systems on Ships: an Off-line Parameter Estimation for Tuning the Controllers’ Linearizing Function. 1–1. 3 indexed citations

10.

Mocanu, Elena, Phuong H. Nguyen, Madeleine Gibescu, & J.G. Slootweg. (2017). Deep learning methods for on-line flexibility prediction and optimal resource allocation in smart buildings. TU/e Research Portal (Eindhoven University of Technology). 1 indexed citations

11.

Mocanu, Decebal Constantin, Elena Mocanu, Peter Stone, et al.. (2017). Evolutionary training of sparse artificial neural networks : a network science perspective. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 72(1). 1–61. 5 indexed citations

12.

Paterakis, Nikolaos G., et al.. (2017). Deep learning versus traditional machine learning methods for aggregated energy demand prediction. TU/e Research Portal. 1–6. 73 indexed citations

13.

Mocanu, Decebal Constantin, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, & Antonio Liotta. (2016). A topological insight into restricted Boltzmann machines (extented abstract). TU/e Research Portal. 1 indexed citations

14.

Mocanu, Decebal Constantin, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, & Antonio Liotta. (2016). Big IoT data mining for real-time energy disaggregation in buildings. TU/e Research Portal. 3765–3769. 23 indexed citations

15.

Mocanu, Elena, et al.. (2015). Deep Learning to estimate building energy demands in the smart grid context. TU/e Research Portal (Eindhoven University of Technology). 1 indexed citations

16.

Mocanu, Elena, et al.. (2015). Comfort-constrained Demand Flexibility Management for Building Aggregations using a Decentralized Approach. TU/e Research Portal. 157–166. 10 indexed citations

17.

Mocanu, Elena, et al.. (2014). Optimized parameter selection for assessing building energy efficiency. TU/e Research Portal (Eindhoven University of Technology). 3 indexed citations

18.

Aduda, KO Kennedy, Elena Mocanu, G. Boxem, et al.. (2014). The potential and possible effects of power grid support activities on buildings: An analysis of experimental results for ventilation system. TU/e Research Portal. 104. 1–6. 4 indexed citations

19.

Mocanu, Elena, et al.. (2014). Inexpensive user tracking using Boltzmann Machines. TU/e Research Portal. 12. 1–6. 8 indexed citations

20.

Mocanu, Elena, Phuong H. Nguyen, Madeleine Gibescu, & W.L. Kling. (2014). Comparison of machine learning methods for estimating energy consumption in buildings. TU/e Research Portal. 1–6. 40 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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