Harun Bingöl

473 total citations
24 papers, 367 citations indexed

About

Harun Bingöl is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Information Systems. According to data from OpenAlex, Harun Bingöl has authored 24 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Information Systems. Recurrent topics in Harun Bingöl's work include Metaheuristic Optimization Algorithms Research (5 papers), AI in cancer detection (3 papers) and Smart Agriculture and AI (3 papers). Harun Bingöl is often cited by papers focused on Metaheuristic Optimization Algorithms Research (5 papers), AI in cancer detection (3 papers) and Smart Agriculture and AI (3 papers). Harun Bingöl collaborates with scholars based in Türkiye and United Kingdom. Harun Bingöl's co-authors include Bilal Alataş, Muhammed Yıldırım, Emine Cengil, Muhammet Baykara, Kadir Yıldırım and Ulaş Baran Baloğlu and has published in prestigious journals such as Chaos Solitons & Fractals, Arabian Journal for Science and Engineering and Diagnostics.

In The Last Decade

Harun Bingöl

22 papers receiving 357 citations

Peers

Harun Bingöl

CTM

CVPR

IME

Hakan Ezgi Kızılöz Türkiye

Zahra Asghari Varzaneh Iran

Utkarsh Mahadeo Khaire India

Ayça Deniz Türkiye

Mohammad Hashem Ryalat Jordan

Yupeng Chen China

Andi Tang China

Elliackin Figueiredo Brazil

Liangliang Li China

Ko-Wei Huang Taiwan

Hakan Ezgi Kızılöz Türkiye

Harun Bingöl

329 ×1.6

83 ×1.2

CTM

94 ×1.5

CVPR

46 ×1.3

IME

30 ×0.9

Citations per year, relative to Harun Bingöl Harun Bingöl (= 1×) peers Hakan Ezgi Kızılöz

Countries citing papers authored by Harun Bingöl

Since Specialization

Citations

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

Fields of papers citing papers by Harun Bingöl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harun Bingöl

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

All Works

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20 of 20 papers shown

Bingöl, Harun, et al.. (2025). Enhancing knee osteoarthritis detection with AI, image denoising, and optimized classification methods and the importance of physical therapy methods. PeerJ Computer Science. 11. e2766–e2766. 2 indexed citations

Bingöl, Harun, et al.. (2024). A New Hybrid Method for Classification of Rice Leaf Diseases: SVM+NCA+Resnet50. DergiPark (Istanbul University). 7(2). 22–26.

Bingöl, Harun, et al.. (2024). EPILEPTIC SEIZURE DETECTION FROM EEG SIGNALS WITH RECURRENT NEURAL NETWORKS BASED CLASSIFICATION MODEL. DergiPark (Istanbul University). 7(2). 14–21. 1 indexed citations

Yıldırım, Muhammed, et al.. (2024). Multi-feature fusion and dandelion optimizer based model for automatically diagnosing the gastrointestinal diseases. PeerJ Computer Science. 10. e1919–e1919. 4 indexed citations

Cengil, Emine, et al.. (2023). Diagnosis of Chronic Kidney Disease Based on CNN and LSTM. 2(2). 66–74. 6 indexed citations

Yıldırım, Muhammed, et al.. (2023). Automatic Classification of Particles in the Urine Sediment Test with the Developed Artificial Intelligence-Based Hybrid Model. Diagnostics. 13(7). 1299–1299. 19 indexed citations

Bingöl, Harun, et al.. (2023). Automatic diagnosis of ureteral stone and degree of hydronephrosis with proposed convolutional neural network, RelieF, and gradient‐weighted class activation mapping based deep hybrid model. International Journal of Imaging Systems and Technology. 33(2). 760–769. 6 indexed citations

Bingöl, Harun, et al.. (2023). Performance Comparison of Biology based Metaheuristics Optimization Algorithms using Unimodal and Multimodal Benchmark Functions. DergiPark (Istanbul University). 18(1). 157–167. 1 indexed citations

Bingöl, Harun, Muhammed Yıldırım, Kadir Yıldırım, & Bilal Alataş. (2023). Automatic classification of kidney CT images with relief based novel hybrid deep model. PeerJ Computer Science. 9. e1717–e1717. 10 indexed citations

10.

Bingöl, Harun, et al.. (2023). Önerilen Derin Öğrenme ve Makine Öğrenmesi Tabanlı Hibrit Model ile Çevresel Atıkların Sınıflandırılması. Fırat Üniversitesi Mühendislik Bilimleri Dergisi. 35(1). 353–361. 2 indexed citations

11.

Bingöl, Harun. (2022). Derin Öğrenme Modellerinde Komşuluk Bileşen Analizi Yöntemi Kullanarak Çiçek Görüntülerinin Sınıflandırılması. Fırat Üniversitesi Mühendislik Bilimleri Dergisi. 34(1). 439–447. 2 indexed citations

12.

Bingöl, Harun & Bilal Alataş. (2022). Chaos enhanced intelligent optimization-based novel deception detection system. Chaos Solitons & Fractals. 166. 112896–112896. 11 indexed citations

13.

Bingöl, Harun. (2022). Classification of OME with Eardrum Otoendoscopic Images Using Hybrid-Based Deep Models, NCA, and Gaussian Method. Traitement du signal. 39(4). 1295–1302. 9 indexed citations

14.

Bingöl, Harun. (2022). NCA‐based hybrid convolutional neural network model for classification of cervical cancer on gauss‐enhanced pap‐smear images. International Journal of Imaging Systems and Technology. 32(6). 1978–1989. 15 indexed citations

15.

Bingöl, Harun & Bilal Alataş. (2021). Classification of Brain Tumor Images using Deep Learning Methods. DergiPark (Istanbul University). 16(1). 137–143. 18 indexed citations

16.

Bingöl, Harun & Bilal Alataş. (2020). Chaos based optics inspired optimization algorithms as global solution search approach. Chaos Solitons & Fractals. 141. 110434–110434. 66 indexed citations

17.

Bingöl, Harun & Bilal Alataş. (2019). Rumor Detection in Social Media Using Machine Learning Methods. 1–4. 10 indexed citations

18.

Baloğlu, Ulaş Baran, Bilal Alataş, & Harun Bingöl. (2019). Assessment of Supervised Learning Algorithms for Irony Detection in Online Social Media. 1–5. 5 indexed citations

19.

Alataş, Bilal & Harun Bingöl. (2019). A Physics Based Novel Approach for Travelling Tournament Problem: Optics Inspired Optimization. Information Technology And Control. 48(3). 373–388. 46 indexed citations

20.

Bingöl, Harun & Bilal Alataş. (2016). Chaotic League Championship Algorithms. Arabian Journal for Science and Engineering. 41(12). 5123–5147. 39 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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