Ali Serener

710 total citations
31 papers, 489 citations indexed

About

Ali Serener is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Ophthalmology. According to data from OpenAlex, Ali Serener has authored 31 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Artificial Intelligence and 8 papers in Ophthalmology. Recurrent topics in Ali Serener's work include AI in cancer detection (9 papers), Retinal Imaging and Analysis (9 papers) and COVID-19 diagnosis using AI (9 papers). Ali Serener is often cited by papers focused on AI in cancer detection (9 papers), Retinal Imaging and Analysis (9 papers) and COVID-19 diagnosis using AI (9 papers). Ali Serener collaborates with scholars based in Cyprus, United States and Türkiye. Ali Serener's co-authors include Sertan Serte, Fadi Al‐Turjman, Parvaneh Esmaılı, Don Gruenbacher, Balasubramaniam Natarajan, Hüseyin Hacı and Rui Fan and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, Electronics and Transactions on Emerging Telecommunications Technologies.

In The Last Decade

Ali Serener

29 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Serener Cyprus 12 361 175 140 134 52 31 489
Shahzad Akbar Pakistan 16 474 1.3× 262 1.5× 318 2.3× 227 1.7× 25 0.5× 49 772
Deepti Mittal India 12 503 1.4× 143 0.8× 239 1.7× 270 2.0× 10 0.2× 33 724
Yangqin Feng Singapore 12 258 0.7× 68 0.4× 165 1.2× 232 1.7× 53 1.0× 20 444
Mingquan Lin United States 11 163 0.5× 41 0.2× 102 0.7× 117 0.9× 12 0.2× 48 397
Mehrdad Moghbel Malaysia 10 298 0.8× 78 0.4× 196 1.4× 167 1.2× 8 0.2× 17 470
Anam Tariq Pakistan 12 339 0.9× 234 1.3× 180 1.3× 75 0.6× 13 0.3× 25 477
Ahmed Sharafeldeen United States 13 366 1.0× 157 0.9× 58 0.4× 85 0.6× 16 0.3× 27 411
Joaquim de Moura Spain 14 506 1.4× 249 1.4× 88 0.6× 149 1.1× 7 0.1× 68 604
David Dov Israel 10 158 0.4× 44 0.3× 42 0.3× 152 1.1× 15 0.3× 24 356

Countries citing papers authored by Ali Serener

Since Specialization
Citations

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

Fields of papers citing papers by Ali Serener

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Serener

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Serener. A scholar is included among the top collaborators of Ali Serener 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 Ali Serener. Ali Serener 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
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Hacı, Hüseyin, et al.. (2022). Novel Channel/QoS Aware Downlink Scheduler for Next-Generation Cellular Networks. Electronics. 11(18). 2895–2895. 5 indexed citations
5.
Serener, Ali & Sertan Serte. (2021). Glaucoma classification via deep learning ensembles. 2. 1–5. 3 indexed citations
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Serte, Sertan, Ali Serener, & Fadi Al‐Turjman. (2020). Deep learning in medical imaging: A brief review. Transactions on Emerging Telecommunications Technologies. 33(10). 52 indexed citations
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Serte, Sertan & Ali Serener. (2020). Graph‐based saliency and ensembles of convolutional neural networks for glaucoma detection. IET Image Processing. 15(3). 797–804. 24 indexed citations
8.
Fan, Rui, et al.. (2020). Semantic Segmentation of Retinal Vessels Using SegNet. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–4. 3 indexed citations
9.
Serte, Sertan & Ali Serener. (2020). Early pleural effusion detection from respiratory diseases including COVID-19 via deep learning. 1–4. 8 indexed citations
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Serener, Ali & Sertan Serte. (2019). Dry and Wet Age-Related Macular Degeneration Classification Using OCT Images and Deep Learning. 1–4. 51 indexed citations
11.
Serener, Ali & Sertan Serte. (2019). Transfer Learning for Early and Advanced Glaucoma Detection with Convolutional Neural Networks. 1–4. 62 indexed citations
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Serener, Ali & Sertan Serte. (2019). Keratinocyte Carcinoma Detection via Convolutional Neural Networks. 1–5. 12 indexed citations
13.
Serte, Sertan & Ali Serener. (2019). A Generalized Deep Learning Model for Glaucoma Detection. 1–5. 52 indexed citations
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Esmaılı, Parvaneh, et al.. (2018). Deep Learning for Two-Step Classification of Malignant Pigmented Skin Lesions. 1–6. 45 indexed citations
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Serener, Ali, et al.. (2017). Use of DVB-T and DVB-S2 in telecardiology. Procedia Computer Science. 120. 99–103. 2 indexed citations
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Serener, Ali, et al.. (2016). Effects of External Factors in CGM Sensor Glucose Concentration Prediction. Procedia Computer Science. 102. 623–629. 15 indexed citations
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Serener, Ali, et al.. (2009). Wireless telemedicine system in emergency medicine helicopter. 513–517.
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Serener, Ali, Balasubramaniam Natarajan, & Don Gruenbacher. (2007). Optimized LDPC Codes for OFDM and Spread OFDM in Correlated Channels. 40. 2276–2280. 2 indexed citations
20.
Gruenbacher, Don & Ali Serener. (2002). Performance of coded OFDM in a fading environment using high rate low-density parity-check codes. vt 34. 504–508. 11 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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