Wiem Abdelbaki

1.0k total citations · 3 hit papers
11 papers, 490 citations indexed

About

Wiem Abdelbaki is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Health Informatics. According to data from OpenAlex, Wiem Abdelbaki has authored 11 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Plant Science, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Health Informatics. Recurrent topics in Wiem Abdelbaki's work include Smart Agriculture and AI (3 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Membrane Separation and Gas Transport (1 paper). Wiem Abdelbaki is often cited by papers focused on Smart Agriculture and AI (3 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Membrane Separation and Gas Transport (1 paper). Wiem Abdelbaki collaborates with scholars based in Kuwait, United Kingdom and Jordan. Wiem Abdelbaki's co-authors include Ersin Elbaşı, Yogesh K. Dwivedi, Anup Shrestha, Omar Ali, Mohammad Abdallah Ali Alryalat, Ahmet E. Topcu, Elda Cina, Ahmed Younes Shdefat, Chamseddine Zaki and Aymen I. Zreikat and has published in prestigious journals such as IEEE Access, Sensors and American Journal of Tropical Medicine and Hygiene.

In The Last Decade

Wiem Abdelbaki

10 papers receiving 459 citations

Hit Papers

A systematic literature review of artificial intelligence... 2022 2026 2023 2024 2023 2022 2023 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wiem Abdelbaki Kuwait 5 126 115 91 57 40 11 490
Elias Hossain Bangladesh 10 50 0.4× 71 0.6× 123 1.4× 51 0.9× 61 1.5× 27 449
Heliza Rahmania Hatta Indonesia 12 150 1.2× 86 0.7× 218 2.4× 25 0.4× 8 0.2× 67 677
Dadi Ramesh India 8 83 0.7× 29 0.3× 216 2.4× 23 0.4× 59 1.5× 33 472
Israt Jahan Bangladesh 11 50 0.4× 20 0.2× 76 0.8× 37 0.6× 11 0.3× 48 339
Muaz Rahman Bangladesh 7 10 0.1× 43 0.4× 102 1.1× 24 0.4× 36 0.9× 13 460
Saipunidzam Mahamad Malaysia 10 135 1.1× 18 0.2× 75 0.8× 23 0.4× 23 0.6× 30 526
Nehad M. Ibrahim Saudi Arabia 9 24 0.2× 20 0.2× 66 0.7× 72 1.3× 26 0.7× 18 313
Ahmed Kamel Egypt 11 14 0.1× 48 0.4× 145 1.6× 43 0.8× 4 0.1× 42 550
Faiza Farhat India 9 9 0.1× 138 1.2× 109 1.2× 68 1.2× 6 0.1× 16 303
Al Amin Biswas Bangladesh 13 108 0.9× 10 0.1× 139 1.5× 29 0.5× 30 0.8× 27 459

Countries citing papers authored by Wiem Abdelbaki

Since Specialization
Citations

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

Fields of papers citing papers by Wiem Abdelbaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wiem Abdelbaki

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

All Works

11 of 11 papers shown
1.
Abdelbaki, Wiem, et al.. (2025). Efficient hybrid CNN-transformer model for accurate blood cancer detection. PeerJ Computer Science. 11. e3335–e3335.
3.
Elbaşı, Ersin, Ahmet E. Topcu, Elda Cina, et al.. (2024). Enhanced Plant Leaf Classification over a Large Number of Classes Using Machine Learning. Applied Sciences. 14(22). 10507–10507. 1 indexed citations
4.
Abdelbaki, Wiem, et al.. (2024). The Application of Unsupervised Machine Learning Technique for the Evaluation of Physical Properties of Geosynthetics. IEEE Access. 12. 92442–92450. 1 indexed citations
5.
Elbaşı, Ersin, Chamseddine Zaki, Ahmet E. Topcu, et al.. (2023). Crop Prediction Model Using Machine Learning Algorithms. Applied Sciences. 13(16). 9288–9288. 93 indexed citations breakdown →
6.
Bellizzi, Saverio, et al.. (2023). 200 years from the first documented outbreak: Dying of cholera in the Near East during 2022 (recent data analysis). Journal of Global Health. 13. 3004–3004. 2 indexed citations
8.
Ali, Omar, Wiem Abdelbaki, Anup Shrestha, et al.. (2023). A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities. Journal of Innovation & Knowledge. 8(1). 100333–100333. 267 indexed citations breakdown →
9.
Elbaşı, Ersin, Nour Mostafa, Aymen I. Zreikat, et al.. (2022). Artificial Intelligence Technology in the Agricultural Sector: A Systematic Literature Review. IEEE Access. 11. 171–202. 104 indexed citations breakdown →
10.
Elbaşı, Ersin, et al.. (2021). A Survey on Machine Learning and Internet of Things for COVID-19. 7 indexed citations
11.
Bellizzi, Saverio, Giuseppe Pichierri, Gabriele Farina, Luca Cegolon, & Wiem Abdelbaki. (2021). Violence Against Healthcare: A Public Health Issue beyond Conflict Settings. American Journal of Tropical Medicine and Hygiene. 106(1). 15–16. 10 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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