Ferhat Sadak

28 papers receiving 418 citations

Ferhat Sadak's Hit Papers

Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review 2023 · 99 citations
990+1+2Years since publication255075

Peers

Ferhat Sadak
Comparison fields: 5 of 96
  • Health Informatics 13
  • General Dentistry 14
  • Oral Surgery 47
  • Biophysics 23
  • Media Technology 29
Replace Treesukon Treebupachatsakul with:
Treesukon Treebupachatsakul Thailand
Javed Rashid Pakistan
M. Rahmat Widyanto Indonesia
S. N. Geethalakshmi India
Jia‐Hong Lee Taiwan
Xinyu Ye China
P. Ramana Reddy India
Juan Ignacio Pastore Argentina
R. Geetha India
Aditya Sinha India
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Citations per field
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Treesukon Treebupachatsakul · 1×
Citations per year

Countries citing papers authored by Ferhat Sadak

Since Specialization
Citations

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

Fields of papers citing papers by Ferhat Sadak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review
Hit paper breakdown →
202399
2 202357
3 202254
4 202152
5 202339
6 201919
7 202215
8 202014
9 201914
10 202212
11 20248
12 20196
13 20204
14 20244
15 20244
16 20233
17 20253
18 20233
19 20183
20 20232

About Ferhat Sadak

Ferhat Sadak is a scholar working on Biomedical Engineering, Atomic and Molecular Physics, and Optics, Media Technology, Computer Networks and Communications and Control and Systems Engineering, having authored 32 papers that have together received 427 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (7 papers), Orbital Angular Momentum in Optics (4 papers), Image Processing Techniques and Applications (4 papers), IoT and Edge/Fog Computing (4 papers), Sperm and Testicular Function (3 papers), Piezoelectric Actuators and Control (3 papers), Micro and Nano Robotics (3 papers) and Smart Agriculture and AI (3 papers). The work is most often cited by research in Health Informatics (13 citations), General Dentistry (14 citations), Oral Surgery (47 citations), Biophysics (23 citations) and Media Technology (29 citations). Ferhat Sadak has collaborated with scholars based in Türkiye, United Kingdom and United States. Frequent co-authors include Rizwan Qureshi, Mozafar Saadat, Özal Yıldırım, U. Rajendra Acharya, Muhammed Talo, Tanvir Alam, Taimoor Muzaffar Gondal, Saddam Aziz, Hazrat Ali and Arshad Khan. Their work appears in journals such as IEEE Access, International Journal of Environmental Research and Public Health, Expert Systems with Applications, International Journal of Imaging Systems and Technology and IEEE Transactions on Automation Science and Engineering.

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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