Salih Sarp

643 total citations
23 papers, 322 citations indexed

About

Salih Sarp is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Salih Sarp has authored 23 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Electrical and Electronic Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Salih Sarp's work include Adversarial Robustness in Machine Learning (6 papers), AI in cancer detection (3 papers) and Advanced Neural Network Applications (3 papers). Salih Sarp is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), AI in cancer detection (3 papers) and Advanced Neural Network Applications (3 papers). Salih Sarp collaborates with scholars based in United States, Norway and Türkiye. Salih Sarp's co-authors include Murat Kuzlu, Ümit Cali, Özgur Güler, Ferhat Özgür Çatak, Yanxiao Zhao, Emmanuel Wilson, Manisa Pipattanasomporn, Onur Elma, Mecit Cetin and Hüseyin Kusetoğulları and has published in prestigious journals such as IEEE Journal of Biomedical and Health Informatics, Heliyon and Electronics.

In The Last Decade

Salih Sarp

23 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Salih Sarp United States	10	162	47	42	40	36	23	322
Mohammed Khalaf Iraq	12	107 0.7×	47 1.0×	25 0.6×	36 0.9×	24 0.7×	40	385
Jingchi Jiang China	14	201 1.2×	50 1.1×	19 0.5×	19 0.5×	13 0.4×	57	430
Amanpreet Singh India	6	121 0.7×	38 0.8×	17 0.4×	39 1.0×	4 0.1×	19	306
Muhammad Assam Pakistan	11	134 0.8×	42 0.9×	69 1.6×	55 1.4×	11 0.3×	35	401
Ibtissam Abnane Morocco	13	257 1.6×	7 0.1×	80 1.9×	181 4.5×	19 0.5×	27	520
Damien Dablain United States	4	184 1.1×	45 1.0×	25 0.6×	24 0.6×	7 0.2×	4	337
Fadratul Hafinaz Hassan Malaysia	9	130 0.8×	5 0.1×	28 0.7×	32 0.8×	8 0.2×	34	369
Masoud Muhammed Hassan Iraq	9	105 0.6×	23 0.5×	62 1.5×	11 0.3×	14 0.4×	24	308
Ahmed Abdullah Alqarni Saudi Arabia	8	138 0.9×	15 0.3×	65 1.5×	34 0.8×	10 0.3×	19	350

Countries citing papers authored by Salih Sarp

Since Specialization

Citations

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

Fields of papers citing papers by Salih Sarp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salih Sarp

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Taylan, Osman, Bülent Güloğlu, Salih Sarp, et al.. (2024). AI based fuzzy MCDM models: Comparison and evaluation of dissimilar outcomes, an application to enhance pilot recruitment process. Expert Systems. 41(9). 2 indexed citations

Sarp, Salih, et al.. (2024). Digitalization of railway transportation through AI-powered services: digital twin trains. European Transport Research Review. 16(1). 6 indexed citations

Çatak, Ferhat Özgür, et al.. (2023). Non-Cryptographic Privacy Preserving Machine Learning Methods: A Review. Communications in computer and information science. 410–421. 1 indexed citations

Sarp, Salih, Ferhat Özgür Çatak, Murat Kuzlu, et al.. (2023). An XAI approach for COVID-19 detection using transfer learning with X-ray images. Heliyon. 9(4). e15137–e15137. 22 indexed citations

Kuzlu, Murat, et al.. (2023). Security Concerns of Adversarial Attack for LSTM/BiLSTM Based Solar Power Forecasting. 1–5. 2 indexed citations

Kuzlu, Murat, et al.. (2023). The Rise of Generative Artificial Intelligence in Healthcare. 1–4. 19 indexed citations

Sarp, Salih, et al.. (2023). Digital Twin in Healthcare: A Study for Chronic Wound Management. IEEE Journal of Biomedical and Health Informatics. 27(11). 5634–5643. 30 indexed citations

Çatak, Ferhat Özgür, et al.. (2022). Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals. 2022 IEEE Globecom Workshops (GC Wkshps). 1371–1376. 3 indexed citations

Kuzlu, Murat, et al.. (2022). A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks. 94–97. 8 indexed citations

10.

Çatak, Ferhat Özgür, et al.. (2022). Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case. 85–90. 72 indexed citations

11.

Kuzlu, Murat, Salih Sarp, Ferhat Özgür Çatak, et al.. (2022). Analysis of deceptive data attacks with adversarial machine learning for solar photovoltaic power generation forecasting. Electrical Engineering. 106(2). 1815–1823. 3 indexed citations

12.

Sarp, Salih, et al.. (2022). Security and Threats of Intelligent Reflecting Surface Assisted Wireless Communications. 1–9. 7 indexed citations

13.

Sarp, Salih, Murat Kuzlu, Yanxiao Zhao, Mecit Cetin, & Özgur Güler. (2021). A comparison of deep learning algorithms on image data for detecting floodwater on roadways. Computer Science and Information Systems. 19(1). 397–414. 6 indexed citations

14.

Sarp, Salih, Murat Kuzlu, Emmanuel Wilson, Ümit Cali, & Özgur Güler. (2021). The Enlightening Role of Explainable Artificial Intelligence in Chronic Wound Classification. Electronics. 10(12). 1406–1406. 37 indexed citations

15.

Sarp, Salih, Murat Kuzlu, Manisa Pipattanasomporn, & Özgur Güler. (2021). Simultaneous wound border segmentation and tissue classification using a conditional generative adversarial network. The Journal of Engineering. 2021(3). 125–134. 16 indexed citations

16.

Sarp, Salih, Murat Kuzlu, Ümit Cali, Onur Elma, & Özgur Güler. (2021). An Interpretable Solar Photovoltaic Power Generation Forecasting Approach Using An Explainable Artificial Intelligence Tool. Çanakkale Onsekiz Mart University AVESIS. 1–5. 23 indexed citations

17.

Sarp, Salih, et al.. (2021). Use of Intelligent Reflecting Surfaces For and Against Wireless Communication Security. 374–377. 9 indexed citations

18.

Jovanović, Vukica, Murat Kuzlu, Otilia Popescu, et al.. (2020). An Initial Look into the Computer Science and Cybersecurity Pathways Project for Career and Technical Education Curricula. 2020 ASEE Virtual Annual Conference Content Access Proceedings. 1 indexed citations

19.

Kuzlu, Murat, Salih Sarp, Manisa Pipattanasomporn, & Ümit Cali. (2020). Realizing the Potential of Blockchain Technology in Smart Grid Applications. 1–5. 12 indexed citations

20.

Sarp, Salih, et al.. (2020). Detecting Floodwater on Roadways from Image Data Using Mask-R-CNN. 1–6. 17 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.

Explore authors with similar magnitude of impact