Ahmet Soylu

2.7k total citations · 2 hit papers
103 papers, 1.3k citations indexed

About

Ahmet Soylu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ahmet Soylu has authored 103 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 44 papers in Computer Networks and Communications and 44 papers in Information Systems. Recurrent topics in Ahmet Soylu's work include Semantic Web and Ontologies (43 papers), Advanced Database Systems and Queries (21 papers) and Data Quality and Management (18 papers). Ahmet Soylu is often cited by papers focused on Semantic Web and Ontologies (43 papers), Advanced Database Systems and Queries (21 papers) and Data Quality and Management (18 papers). Ahmet Soylu collaborates with scholars based in Norway, United Kingdom and Sweden. Ahmet Soylu's co-authors include Md. Zia Uddin, Patrick De Causmaecker, Ernesto Jiménez-Ruiz, Evgeny Kharlamov, Bekir Şahin, Dumitru Roman, Martin Giese, Ian Horrocks, Piet Desmet and Fatih Gürcan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Ahmet Soylu

96 papers receiving 1.2k citations

Hit Papers

Vision transformer and explainable transfer learning mode... 2022 2026 2023 2024 2022 2025 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Vision transformer and explainable transfer learning models for auto detection of kidney cyst, stone and tumor from CT-radiography
    2022 148 citations Ahmet Soylu et al. profile →
  2. Advanced Brain Tumor Classification in MR Images Using Transfer Learning and Pre-Trained Deep CNN Models
    2025 17 citations Fatih Gürcan, Ahmet Soylu et al. Cancers profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahmet Soylu Norway 19 649 350 347 254 241 103 1.3k
Farhana Zulkernine Canada 20 455 0.7× 315 0.9× 402 1.2× 403 1.6× 220 0.9× 90 1.6k
Behrouz H. Far Canada 23 864 1.3× 351 1.0× 691 2.0× 149 0.6× 309 1.3× 210 2.0k
Sergio Ramírez‐Gallego Spain 16 933 1.4× 224 0.6× 363 1.0× 126 0.5× 216 0.9× 21 1.7k
Raymond K. Wong Australia 20 929 1.4× 513 1.5× 513 1.5× 130 0.5× 192 0.8× 215 1.8k
M. Poongodi Qatar 28 503 0.8× 594 1.7× 668 1.9× 122 0.5× 213 0.9× 49 2.1k
Mutasem K. Alsmadi Saudi Arabia 27 359 0.6× 388 1.1× 455 1.3× 65 0.3× 306 1.3× 109 1.9k
Subarna Shakya Nepal 19 307 0.5× 308 0.9× 289 0.8× 130 0.5× 207 0.9× 130 1.3k
Fariza Hanum Nasaruddin Malaysia 13 601 0.9× 796 2.3× 462 1.3× 117 0.5× 168 0.7× 32 1.7k
Duygu Sinanç Terzi Türkiye 7 384 0.6× 271 0.8× 334 1.0× 129 0.5× 100 0.4× 18 1.1k
Asad Masood Khattak United Arab Emirates 24 684 1.1× 426 1.2× 478 1.4× 99 0.4× 250 1.0× 112 1.6k

Countries citing papers authored by Ahmet Soylu

Since Specialization
Citations

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

Fields of papers citing papers by Ahmet Soylu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmet Soylu

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmet Soylu. A scholar is included among the top collaborators of Ahmet Soylu 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 Ahmet Soylu. Ahmet Soylu 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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Gürcan, Fatih, et al.. (2025). Advanced Brain Tumor Classification in MR Images Using Transfer Learning and Pre-Trained Deep CNN Models. Cancers. 17(1). 121–121. 17 indexed citations breakdown →
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Payberah, Amir H., et al.. (2024). Wiki-based Prompts for Enhancing Relation Extraction using Language Models. 731–740. 1 indexed citations
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Matskin, Mihhail, et al.. (2024). Cost modelling and optimisation for cloud: a graph-based approach. Journal of Cloud Computing Advances Systems and Applications. 13(1). 2 indexed citations
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Nikolov, Nikolay, et al.. (2023). Comparison of Microservice Call Rate Predictions for Replication in the Cloud. 1–7. 2 indexed citations
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Nikolov, Nikolay, Mihhail Matskin, Radu Prodan, et al.. (2023). Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines. Sensors. 23(2). 564–564. 8 indexed citations
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Soylu, Ahmet, et al.. (2023). Chrontext: Portable SPARQL queries over contextualised time series data in industrial settings. Expert Systems with Applications. 226. 120149–120149. 8 indexed citations
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Nikolov, Nikolay, Mihhail Matskin, Radu Prodan, et al.. (2022). Smart Data Placement for Big Data Pipelines: An Approach based on the Storage-as-a-Service Model. 3 indexed citations
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Roman, Dumitru, Irene Celino, Ahmet Soylu, et al.. (2021). An analysis of pollution Citizen Science projects from the perspective of Data Science and Open Science. Data Technologies and Applications. 55(5). 622–642. 8 indexed citations
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Nikolov, Nikolay, et al.. (2021). Big Data Workflows: Locality-Aware Orchestration Using Software Containers. Sensors. 21(24). 8212–8212. 7 indexed citations
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Nikolov, Nikolay, et al.. (2021). Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers. Internet of Things. 16. 100440–100440. 17 indexed citations
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Kharlamov, Evgeny, Sebastian Brandt, Martin A. Giese, et al.. (2016). Scalable Semantic Access to Siemens Static and Streaming Distributed Data. International Semantic Web Conference. 2 indexed citations
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Kharlamov, Evgeny, Sebastian Brandt, Martin A. Giese, et al.. (2015). Semantic Access to Siemens Streaming Data: the OPTIQUE Way. International Semantic Web Conference. 6 indexed citations
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Kharlamov, Evgeny, Ernesto Jiménez-Ruiz, Christoph Pinkel, et al.. (2015). OPTIQUE: Ontology−Based Data Access Platform. International Semantic Web Conference. 18 indexed citations
19.
Soylu, Ahmet, Evgeny Kharlamov, Dmitriy Zheleznyakov, et al.. (2014). OptiqueVQS: visual query formulation for OBDA. Oxford University Research Archive (ORA) (University of Oxford). 725–728. 2 indexed citations
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Grau, Bernardo Cuenca, Martin Giese, Ian Horrocks, et al.. (2013). Towards Query Formulation, Query-Driven Ontology Extensions in OBDA Systems.. 6 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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