Inès Chihi

45 papers receiving 965 citations

Inès Chihi's Hit Papers

A novel stacked generalization ensemble-based hybrid LGBM-XGB-MLP model for Short-Term Load Forecasting 2020 · 294 citations
2940+2+4Years since publication50100150200250

Peers

Inès Chihi
Comparison fields: 5 of 113
  • Energy Engineering and Power Technology 32
  • Renewable Energy, Sustainability and the Environment 164
  • Electrical and Electronic Engineering 569
  • Artificial Intelligence 304
  • Control and Systems Engineering 208
Replace Mohamed Massaoudi with:
Mohamed Massaoudi Qatar
Fakhreddine S. Oueslati Tunisia
Runhai Jiao China
Mao Tan China
Arash Moradzadeh Iran
Qi Liao China
Ram Machlev Israel
Muhammad Adnan Pakistan
Nantian Huang China
Hamed H. Aly Canada
Inès Chihi relative to Mohamed Massaoudi Qatar Mohamed Massaoudi's profile →
Citations per field
00.5×1.5×
Mohamed Massaoudi · 1×
Citations per year

Countries citing papers authored by Inès Chihi

Since Specialization
Citations

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

Fields of papers citing papers by Inès Chihi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Inès Chihi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Inès Chihi Line = papers co-authored together Inès Chihi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A novel stacked generalization ensemble-based hybrid LGBM-XGB-MLP model for Short-Term Load Forecasting
Hit paper breakdown →
2020294
2 2021130
3 202193
4 202159
5 202345
6 202042
7 202134
8 202129
9 202328
10 202026
11 201923
12 202118
13 202017
14 202113
15 202312
16 202211
17 201511
18 202110
19 20229
20 20259

About Inès Chihi

Inès Chihi is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Human-Computer Interaction and Biomedical Engineering, having authored 54 papers that have together received 990 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (12 papers), Energy Load and Power Forecasting (12 papers), Hand Gesture Recognition Systems (10 papers), Fault Detection and Control Systems (9 papers), Photovoltaic System Optimization Techniques (9 papers), Muscle activation and electromyography studies (8 papers), EEG and Brain-Computer Interfaces (6 papers) and Robot Manipulation and Learning (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (32 citations), Renewable Energy, Sustainability and the Environment (164 citations), Electrical and Electronic Engineering (569 citations), Artificial Intelligence (304 citations) and Control and Systems Engineering (208 citations). Inès Chihi has collaborated with scholars based in Tunisia, Luxembourg and Qatar. Frequent co-authors include Mohamed Massaoudi, Shady S. Refaat, Fakhreddine S. Oueslati, Haitham Abu‐Rub, Mohamed Trabelsi, Lilia Sidhom, Afef Abdelkrim, Mohamed Benrejeb, Ernest Nlandu Kamavuako and Yujia Xu. Their work appears in journals such as IEEE Access, Energies, Complexity, Sensors and Computers in Industry.

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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