Yassine El Houm

884 total citations · 1 hit paper
17 papers, 615 citations indexed

About

Yassine El Houm is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Yassine El Houm has authored 17 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 10 papers in Electrical and Electronic Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Yassine El Houm's work include Adaptive Control of Nonlinear Systems (6 papers), Electric Motor Design and Analysis (5 papers) and Energy Load and Power Forecasting (5 papers). Yassine El Houm is often cited by papers focused on Adaptive Control of Nonlinear Systems (6 papers), Electric Motor Design and Analysis (5 papers) and Energy Load and Power Forecasting (5 papers). Yassine El Houm collaborates with scholars based in Morocco, France and Canada. Yassine El Houm's co-authors include Ahmed Abbou, Moussa Labbadi, Ali Agga, Mohamed Cherkaoui, Mohammed Ouassaid, Abdelouahed Gherbi, Mohamed Cheriet and Hassane Mahmoudi and has published in prestigious journals such as IEEE Transactions on Power Electronics, Renewable Energy and Electric Power Systems Research.

In The Last Decade

Yassine El Houm

16 papers receiving 599 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.

CNN-LSTM: An efficient hybrid deep learning architecture for predicting short-term photovoltaic power production

2022 255 citations Ali Agga, Ahmed Abbou et al. Electric Power Systems Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yassine El Houm Morocco	9	405	277	150	124	44	17	615
Yixiao Yu China	13	583 1.4×	271 1.0×	124 0.8×	101 0.8×	40 0.9×	36	744
Vishnu Suresh Poland	15	510 1.3×	168 0.6×	94 0.6×	215 1.7×	33 0.8×	58	727
Zhenxing Lei China	6	702 1.7×	392 1.4×	190 1.3×	119 1.0×	93 2.1×	9	915
Ümmühan Başaran Filik Türkiye	11	437 1.1×	169 0.6×	140 0.9×	142 1.1×	62 1.4×	41	575
Lin Fan China	14	302 0.7×	132 0.5×	104 0.7×	75 0.6×	24 0.5×	30	566
Przemysław Janik Poland	15	754 1.9×	179 0.6×	106 0.7×	350 2.8×	30 0.7×	71	960
Pasquale De Falco Italy	18	778 1.9×	226 0.8×	157 1.0×	130 1.0×	107 2.4×	62	945
Chunlei Ji China	11	276 0.7×	208 0.8×	51 0.3×	87 0.7×	48 1.1×	27	566
L. Bayón Spain	18	357 0.9×	297 1.1×	453 3.0×	87 0.7×	24 0.5×	97	914

Countries citing papers authored by Yassine El Houm

Since Specialization

Citations

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

Fields of papers citing papers by Yassine El Houm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yassine El Houm. 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 Yassine El Houm. The network helps show where Yassine El Houm may publish in the future.

Co-authorship network of co-authors of Yassine El Houm

This figure shows the co-authorship network connecting the top 25 collaborators of Yassine El Houm. A scholar is included among the top collaborators of Yassine El Houm 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 Yassine El Houm. Yassine El Houm 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:

17 of 17 papers shown

Houm, Yassine El, et al.. (2025). Adaptive nonsingular fast terminal sliding mode control based finite-time disturbance observer for a quadrotor system. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 239(5). 761–789.

Houm, Yassine El, et al.. (2024). Automatic data featurization for enhanced proactive service auto-scaling: Boosting forecasting accuracy and mitigating oscillation. Journal of King Saud University - Computer and Information Sciences. 36(2). 101924–101924. 3 indexed citations

Labbadi, Moussa, et al.. (2022). Design and Implementation of Finite-Time Control for Speed Tracking of Permanent Magnet Synchronous Motors. IEEE Control Systems Letters. 7. 721–726. 10 indexed citations

Agga, Ali, et al.. (2022). CNN-LSTM: An efficient hybrid deep learning architecture for predicting short-term photovoltaic power production. Electric Power Systems Research. 208. 107908–107908. 255 indexed citations breakdown →

Houm, Yassine El, et al.. (2022). Design of a modified terminal sliding mode controller with time varying delayed output observer for a quad-rotor system. IFAC-PapersOnLine. 55(12). 408–413. 5 indexed citations

Houm, Yassine El, et al.. (2022). Short-Term Load Forecasting Based on CNN and LSTM Deep Neural Networks. IFAC-PapersOnLine. 55(12). 777–781. 8 indexed citations

Agga, Ali, Ahmed Abbou, Moussa Labbadi, & Yassine El Houm. (2021). Short-term self consumption PV plant power production forecasts based on hybrid CNN-LSTM, ConvLSTM models. Renewable Energy. 177. 101–112. 192 indexed citations

Agga, Ali, Ahmed Abbou, Moussa Labbadi, & Yassine El Houm. (2021). Convolutional Neural Network (CNN) Extended Architectures for Photovoltaic Power Production Forecasting. 104–108. 6 indexed citations

Agga, Ali, Ahmed Abbou, Moussa Labbadi, & Yassine El Houm. (2021). Short-Term Load Forecasting: Based on Hybrid CNN-LSTM Neural Network. 886–891. 15 indexed citations

10.

Houm, Yassine El, Ahmed Abbou, Moussa Labbadi, & Mohamed Cherkaoui. (2020). Optimal New Sliding Mode Controller Combined with Modified Supertwisting Algorithm for a Perturbed Quadrotor UAV. International Journal of Aerospace Engineering. 2020. 1–10. 11 indexed citations

11.

Abbou, Ahmed, et al.. (2019). Real-time implementation of a novel hybrid fuzzy sliding mode control of a BLDC motor. International Journal of Power Electronics and Drive Systems (IJPEDS). 10(3). 1167–1167. 8 indexed citations

12.

Abbou, Ahmed, et al.. (2019). Real time implementation of a super twisting control of a BLDC motor. International Journal of Electrical and Computer Engineering (IJECE). 9(4). 3032–3032. 5 indexed citations

13.

Abbou, Ahmed, et al.. (2019). Binary Diagnosis of Hall Effect Sensors in Brushless DC Motor Drives. IEEE Transactions on Power Electronics. 35(4). 3859–3868. 45 indexed citations

14.

Labbadi, Moussa, et al.. (2018). Modeling and Robust Integral Sliding Mode Control for a Quadrotor Unmanned Aerial Vehicle. 1–6. 27 indexed citations

15.

Abbou, Ahmed, et al.. (2017). Trapezoidal control of Brushless DC motor based on DSP F28335. 1–5. 13 indexed citations

16.

Houm, Yassine El, et al.. (2017). Quadcopter Modelling, Control Design and PIL Verification Based on DSP F28377s. 1–7. 7 indexed citations

17.

Labbadi, Moussa, Yassine El Houm, Ahmed Abbou, & Mohamed Cherkaoui. (2014). Robust adaptive global nonlinear sliding mode controller for a quadrotor under external disturbances and uncertainties. Advances in Mechanical Engineering. 12(11). 5 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.

Explore authors with similar magnitude of impact