Ali Agga

657 total citations · 1 hit paper
7 papers, 474 citations indexed

About

Ali Agga is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Ali Agga has authored 7 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 3 papers in Artificial Intelligence and 3 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Ali Agga's work include Energy Load and Power Forecasting (5 papers), Photovoltaic System Optimization Techniques (3 papers) and Solar Radiation and Photovoltaics (3 papers). Ali Agga is often cited by papers focused on Energy Load and Power Forecasting (5 papers), Photovoltaic System Optimization Techniques (3 papers) and Solar Radiation and Photovoltaics (3 papers). Ali Agga collaborates with scholars based in Morocco, Egypt and Saudi Arabia. Ali Agga's co-authors include Yassine El Houm, Ahmed Abbou, Moussa Labbadi, Mohamed Maâroufi, Ali Elrashidi, Mohammed Ouassaid and Hossam Kotb and has published in prestigious journals such as Renewable Energy, Electric Power Systems Research and Frontiers in Energy Research.

In The Last Decade

Ali Agga

7 papers receiving 462 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
Ali Agga Morocco	4	332	270	148	44	38	7	474
Fermín Rodríguez Spain	9	465 1.4×	338 1.3×	230 1.6×	37 0.8×	34 0.9×	25	573
Spyros Theocharides Cyprus	12	411 1.2×	296 1.1×	228 1.5×	29 0.7×	32 0.8×	32	548
Alfredo Nespoli Italy	13	418 1.3×	302 1.1×	255 1.7×	31 0.7×	23 0.6×	25	577
Yassine El Houm Morocco	9	405 1.2×	277 1.0×	150 1.0×	44 1.0×	39 1.0×	17	615
Khalil Benmouiza Algeria	8	357 1.1×	338 1.3×	264 1.8×	68 1.5×	27 0.7×	17	605
Bixuan Gao China	10	448 1.3×	452 1.7×	267 1.8×	48 1.1×	23 0.6×	18	670
Jiacong Cao China	8	234 0.7×	266 1.0×	200 1.4×	24 0.5×	21 0.6×	12	366
Luca Massidda Italy	10	286 0.9×	164 0.6×	122 0.8×	32 0.7×	16 0.4×	30	386
Shi Su China	7	448 1.3×	438 1.6×	337 2.3×	26 0.6×	59 1.6×	23	660
Keda Pan China	9	287 0.9×	163 0.6×	52 0.4×	52 1.2×	20 0.5×	13	353

Countries citing papers authored by Ali Agga

Since Specialization

Citations

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

Fields of papers citing papers by Ali Agga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Agga

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

All Works

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7 of 7 papers shown

1.

Agga, Ali, et al.. (2024). Predicting short-term energy usage in a smart home using hybrid deep learning models. Frontiers in Energy Research. 12. 3 indexed citations

2.

Abbou, Ahmed, et al.. (2023). Robust Fixed Time Adaptive Terminal Sliding Mode Control of a QUAV Under Time Varying Disturbances and Payload. International journal of intelligent engineering and systems. 16(3). 220–230. 2 indexed citations

3.

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 →

4.

Agga, Ali, et al.. (2022). Optimal energy management for a connected microgrid using dynamic programming method. 1 indexed citations

5.

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

6.

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

7.

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

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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