Hela Elmannai

105 papers receiving 1.8k citations

Hela Elmannai's Hit Papers

A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method 2022 · 179 citations
1790+1+2Years since publication50100150

Peers

Hela Elmannai
Comparison fields: 5 of 154
  • Health Informatics 26
  • Computer Networks and Communications 422
  • Artificial Intelligence 591
  • Computer Vision and Pattern Recognition 292
  • Information Systems 317
Replace Mukesh Soni with:
Mukesh Soni India
Ramgopal Kashyap India
Arpit Jain India
Dac‐Nhuong Le Vietnam
Shadi AlZu’bi Jordan
Denis A. Pustokhin Russia
Rajesh Kumar Dhanaraj India
Shitharth Selvarajan India
Anurag Shrivastava India
K. Venkatachalam India
Hela Elmannai relative to Mukesh Soni India Mukesh Soni's profile →
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Citations per year

Countries citing papers authored by Hela Elmannai

Since Specialization
Citations

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

Fields of papers citing papers by Hela Elmannai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hela Elmannai, 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 Hela Elmannai Line = papers co-authored together Hela Elmannai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
Hit paper breakdown →
2022179
2
Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques
Hit paper breakdown →
2022155
3
Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization
Hit paper breakdown →
2022143
4 202383
5 202374
6 202371
7 202366
8 202259
9 202354
10 202250
11 202346
12 202237
13 202235
14 202134
15 202232
16 202232
17 202329
18 202228
19 202227
20 202227

About Hela Elmannai

Hela Elmannai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering, having authored 117 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antenna Design and Analysis (12 papers), AI in cancer detection (11 papers), Remote-Sensing Image Classification (8 papers), Anomaly Detection Techniques and Applications (7 papers), Network Security and Intrusion Detection (7 papers), IoT and Edge/Fog Computing (6 papers), Remote Sensing and Land Use (6 papers) and Artificial Intelligence in Healthcare (6 papers). The work is most often cited by research in Health Informatics (26 citations), Computer Networks and Communications (422 citations), Artificial Intelligence (591 citations), Computer Vision and Pattern Recognition (292 citations) and Information Systems (317 citations). Hela Elmannai has collaborated with scholars based in Saudi Arabia, Pakistan and China. Frequent co-authors include Abeer D. Algarni, Sami Bourouis, Monia Hamdi, Ali Asghar Heidari, Umesh Kumar Lilhore, Myriam Hadjouni, Amandeep Kaur, Huiling Chen, Asif Ali Laghari and Abdullah Ayub Khan. Their work appears in journals such as Electronics, IEEE Access, Sensors, Computers in Biology and Medicine and Scientific Reports.

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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