Ferhat Sadak

644 total citations
28 papers, 358 citations indexed

About

Ferhat Sadak is a scholar working on Biomedical Engineering, Atomic and Molecular Physics, and Optics and Media Technology. According to data from OpenAlex, Ferhat Sadak has authored 28 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 5 papers in Atomic and Molecular Physics, and Optics and 5 papers in Media Technology. Recurrent topics in Ferhat Sadak's work include Microfluidic and Bio-sensing Technologies (7 papers), Image Processing Techniques and Applications (4 papers) and Orbital Angular Momentum in Optics (4 papers). Ferhat Sadak is often cited by papers focused on Microfluidic and Bio-sensing Technologies (7 papers), Image Processing Techniques and Applications (4 papers) and Orbital Angular Momentum in Optics (4 papers). Ferhat Sadak collaborates with scholars based in Türkiye, United Kingdom and France. Ferhat Sadak's co-authors include Mozafar Saadat, Rizwan Qureshi, Özal Yıldırım, U. Rajendra Acharya, Muhammed Talo, Murat Karabatak, Tuba Talo Yıldırım, Muhammad Khurram, Tanvir Alam and Saddam Aziz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Expert Systems with Applications.

In The Last Decade

Ferhat Sadak

26 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ferhat Sadak Türkiye 10 108 48 47 45 43 28 358
S. N. Geethalakshmi India 13 40 0.4× 19 0.4× 108 2.3× 13 0.3× 34 0.8× 40 415
Aditya Sinha India 11 57 0.5× 13 0.3× 104 2.2× 15 0.3× 28 0.7× 53 327
D. Vijayalakshmi India 11 53 0.5× 31 0.6× 22 0.5× 5 0.1× 68 1.6× 27 421
S. Kalaivani India 12 20 0.2× 12 0.3× 33 0.7× 3 0.1× 44 1.0× 64 390
Tanzilur Rahman Bangladesh 9 72 0.7× 35 0.7× 26 0.6× 1 0.0× 45 1.0× 34 291
M. Rahmat Widyanto Indonesia 12 51 0.5× 2 0.0× 18 0.4× 22 0.5× 107 2.5× 44 364
Muhammad Hassan China 8 48 0.4× 4 0.1× 77 1.6× 3 0.1× 29 0.7× 34 242
Jakeoung Koo South Korea 9 61 0.6× 4 0.1× 6 0.1× 4 0.1× 36 0.8× 22 252
Ling Sun China 10 114 1.1× 44 0.9× 8 0.2× 13 0.3× 42 302
M. Suganthy India 8 25 0.2× 37 0.8× 65 1.4× 1 0.0× 18 0.4× 74 221

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-authorship network of co-authors of Ferhat Sadak

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

All Works

20 of 20 papers shown
1.
Sapkota, Ranjan, Rizwan Qureshi, Muhammad Usman Hadi, et al.. (2025). Multi-Modal LLMs in Agriculture: A Comprehensive Review. IEEE Transactions on Automation Science and Engineering. 22. 22510–22540.
2.
Sadak, Ferhat, et al.. (2024). Human Sperm Detection and Tracking using Event-based Cameras and Unsupervised Learning. SPIRE - Sciences Po Institutional REpository. 1–6.
3.
Sapkota, Ranjan, Rizwan Qureshi, John Shutske, et al.. (2024). Multi-Modal LLMs in Agriculture: A Comprehensive Review. 8 indexed citations
4.
Sadak, Ferhat. (2024). An explainable deep learning model for automated classification and localization of microrobots by functionality using ultrasound images. Robotics and Autonomous Systems. 183. 104841–104841. 2 indexed citations
5.
Sadak, Ferhat, et al.. (2024). Three-dimensional optical microrobot orientation estimation and tracking using deep learning. Robotica. 43(2). 616–637. 2 indexed citations
6.
Sadak, Ferhat, Abdelkrim Mannioui, Daniela Zizioli, et al.. (2024). Robotic sorting of zebrafish embryos. SPIRE - Sciences Po Institutional REpository. 20(1). 3 indexed citations
7.
Gençel, Osman, Aamar Danish, Ertuğrul Erdoğmuş, et al.. (2023). Performance evaluation of phosphor-based luminescent bricks using different coating methods. Renewable and Sustainable Energy Reviews. 191. 113868–113868. 3 indexed citations
8.
Qureshi, Rizwan, Muhammad Sajjad, Ferhat Sadak, et al.. (2023). Current advances in imaging spectroscopy and its state-of-the-art applications. Expert Systems with Applications. 238. 122172–122172. 29 indexed citations
9.
Qureshi, Rizwan, Muhammad Irfan, Hazrat Ali, et al.. (2023). Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review. IEEE Access. 11. 61600–61620. 73 indexed citations
10.
Sadak, Ferhat, et al.. (2023). Deep Learning-Based Approach for Optical Microrobot Tracking, Pose Prediction and Trapping Points Localisation. SPIRE - Sciences Po Institutional REpository. 95. 1–6. 3 indexed citations
11.
Sadak, Ferhat, Muhammed Yıldırım, Tuba Talo Yıldırım, et al.. (2023). An Explainable Deep Learning Model to Prediction Dental Caries Using Panoramic Radiograph Images. Diagnostics. 13(2). 226–226. 52 indexed citations
12.
Sadak, Ferhat, et al.. (2023). Automatic Sorting of Zebrafish Embryos using Deep Learning. SPIRE - Sciences Po Institutional REpository. 1–6. 1 indexed citations
13.
Sadak, Ferhat, Tuba Talo Yıldırım, Paweł Pławiak, et al.. (2022). Automatic semantic segmentation for dental restorations in panoramic radiography images using U‐Net model. International Journal of Imaging Systems and Technology. 32(6). 1990–2001. 9 indexed citations
14.
Sadak, Ferhat, Özal Yıldırım, Muhammed Talo, et al.. (2021). Review of Deep Learning-Based Atrial Fibrillation Detection Studies. International Journal of Environmental Research and Public Health. 18(21). 11302–11302. 48 indexed citations
15.
Griffiths, C. A., et al.. (2020). A Methodology for Developing Real-time Interface Protocol for Industrial Robots using LabVIEW. University of Birmingham Research Portal (University of Birmingham). 1–5. 1 indexed citations
16.
Sadak, Ferhat, et al.. (2020). A Vision-guided Methodology for the Automation of Biological Cell Injection. University of Birmingham Research Portal (University of Birmingham). 1–9. 3 indexed citations
17.
Sadak, Ferhat, et al.. (2020). Real-time deep learning-based image recognition for applications in automated positioning and injection of biological cells. Computers in Biology and Medicine. 125. 103976–103976. 14 indexed citations
18.
Sadak, Ferhat, et al.. (2019). Vision-Based Sensor for Three-Dimensional Vibrational Motion Detection in Biological Cell Injection. Sensors. 19(23). 5074–5074. 6 indexed citations
19.
Sadak, Ferhat, et al.. (2019). Three Dimensional Auto-Alignment of the ICSI Pipette. IEEE Access. 7. 99360–99370. 14 indexed citations
20.
Sadak, Ferhat, et al.. (2018). Vibrational Analysis During Cell Injection in ICSI Operation. University of Birmingham Research Portal (University of Birmingham). 1–6. 3 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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