İlker Ali Özkan

1.3k total citations · 1 hit paper
41 papers, 951 citations indexed

About

İlker Ali Özkan is a scholar working on Artificial Intelligence, Plant Science and Analytical Chemistry. According to data from OpenAlex, İlker Ali Özkan has authored 41 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Plant Science and 7 papers in Analytical Chemistry. Recurrent topics in İlker Ali Özkan's work include Smart Agriculture and AI (7 papers), Spectroscopy and Chemometric Analyses (7 papers) and Effects of Environmental Stressors on Livestock (4 papers). İlker Ali Özkan is often cited by papers focused on Smart Agriculture and AI (7 papers), Spectroscopy and Chemometric Analyses (7 papers) and Effects of Environmental Stressors on Livestock (4 papers). İlker Ali Özkan collaborates with scholars based in Türkiye, South Korea and Indonesia. İlker Ali Özkan's co-authors include Murat Köklü, Yavuz Selim Taşpınar, Muhammed Fahri Ünlerşen, İlkay Çınar, Ramazan Kursun, Kadir Sabancı, İsmail Sarıtaş, Nesim Aladağ, Mustafa Yurtdaş and Yüksel Kaya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Computers and Electronics in Agriculture.

In The Last Decade

İlker Ali Özkan

33 papers receiving 915 citations

Hit Papers

Multiclass classification... 2020 2026 2022 2024 2020 50 100 150 200
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. Multiclass classification of dry beans using computer vision and machine learning techniques
    2020 209 citations Murat Köklü, İlker Ali Özkan Computers and Electronics in Agriculture profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
İlker Ali Özkan Türkiye 14 275 226 215 105 97 41 951
Vimal K. Shrivastava India 19 433 1.6× 206 0.9× 238 1.1× 123 1.2× 63 0.6× 41 1.4k
S. Ramesh India 19 302 1.1× 168 0.7× 136 0.6× 34 0.3× 53 0.5× 70 1.1k
Murat Köklü Türkiye 22 759 2.8× 610 2.7× 331 1.5× 79 0.8× 171 1.8× 94 1.8k
Mona Soliman Egypt 17 159 0.6× 58 0.3× 123 0.6× 61 0.6× 38 0.4× 102 1.1k
Shagun Sharma India 16 314 1.1× 99 0.4× 281 1.3× 53 0.5× 59 0.6× 121 1.2k
Kalpna Guleria India 20 386 1.4× 136 0.6× 426 2.0× 56 0.5× 77 0.8× 156 1.9k
Siow‐Wee Chang Malaysia 15 199 0.7× 83 0.4× 176 0.8× 34 0.3× 80 0.8× 28 775
Chuanlei Zhang China 17 685 2.5× 289 1.3× 114 0.5× 31 0.3× 53 0.5× 81 1.5k
Mohammad Hossein Rohban Iran 15 102 0.4× 127 0.6× 336 1.6× 36 0.3× 198 2.0× 56 1.4k
Tahira Nazir Pakistan 23 231 0.8× 107 0.5× 453 2.1× 199 1.9× 73 0.8× 53 1.5k

Countries citing papers authored by İlker Ali Özkan

Since Specialization
Citations

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

Fields of papers citing papers by İlker Ali Özkan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of İlker Ali Özkan

This figure shows the co-authorship network connecting the top 25 collaborators of İlker Ali Özkan. A scholar is included among the top collaborators of İlker Ali Özkan 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 İlker Ali Özkan. İlker Ali Özkan 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.
Özkan, İlker Ali, et al.. (2025). Classification of chicken Eimeria species through deep transfer learning models: A comparative study on model efficacy. Veterinary Parasitology. 334. 110400–110400. 1 indexed citations
2.
Kibar, Mustafa, et al.. (2024). Fuzzy Logic Model for Determining Optimal Temperature-Humidity Index Values in Dairy Farms in Temperate Climate. Journal of Applied Animal Welfare Science. 28(1). 61–73. 1 indexed citations
3.
Özkan, İlker Ali, et al.. (2023). Metaverse token price forecasting using artificial neural networks (ANNs) and Adaptive neural fuzzy inference system (ANFIS). Neural Computing and Applications. 36(7). 3267–3290. 4 indexed citations
4.
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Özkan, İlker Ali, et al.. (2023). Performance Evaluation of Basic Capsule Network Architecture in Classification of Biomedical Images. 9(2). 238–247. 5 indexed citations
6.
Özkan, İlker Ali, et al.. (2023). Determination of wheat types using optimized extreme learning machine with metaheuristic algorithms. Neural Computing and Applications. 35(17). 12565–12581. 10 indexed citations
7.
8.
Özkan, İlker Ali, et al.. (2023). FPGA-Based battery management system for real-time monitoring and instantaneous SOC prediction. International Journal of Applied Mathematics Electronics and Computers. 11(1). 55–61.
9.
Özkan, İlker Ali, et al.. (2022). Robotic Welding Path Identification Using FPGA-Based Image Processing. 115–118.
10.
Özkan, İlker Ali, et al.. (2022). Sound Analysis to Recognize Cattle Vocalization in a Semi-open Barn. 8(1). 158–167. 3 indexed citations
11.
12.
Taşpınar, Yavuz Selim, et al.. (2022). Dry bean cultivars classification using deep cnn features and salp swarm algorithm based extreme learning machine. Computers and Electronics in Agriculture. 204. 107575–107575. 57 indexed citations
13.
Singh, Dilbag, Yavuz Selim Taşpınar, Ramazan Kursun, et al.. (2022). Classification and Analysis of Pistachio Species with Pre-Trained Deep Learning Models. Electronics. 11(7). 981–981. 64 indexed citations
14.
Özkan, İlker Ali, et al.. (2021). Classification of Epileptic EEG Signals Using DWT-Based Feature Extraction and Machine Learning Methods. International Journal of Applied Mathematics Electronics and Computers. 9(4). 122–129. 3 indexed citations
15.
Taşdemir, Şakir, et al.. (2020). DIMENSION AND COLOR CLASSIFICATION OF OLIVE FRUIT WITH IMAGE PROCESSING TECHNIQUES. 19(4). 156–167. 1 indexed citations
16.
Taşdemir, Şakir & İlker Ali Özkan. (2019). ANN approach for estimation of cow weight depending on photogrammetric body dimensions. SHILAP Revista de lepidopterología. 4(1). 36–44. 20 indexed citations
17.
Özkan, İlker Ali, et al.. (2018). Diagnosis of urinary tract infection based on artificial intelligence methods. Computer Methods and Programs in Biomedicine. 166. 51–59. 66 indexed citations
18.
Özkan, İlker Ali, et al.. (2016). Estimating of Compressive Strength of Concrete with Artificial Neural Network According to Concrete Mixture Ratio and Age. International Journal of Intelligent Systems and Applications in Engineering. 4(25138). 76–79.
19.
Yurtdaş, Mustafa, et al.. (2014). Neutrophil‐to‐Lymphocyte Ratio May Predict Subclinical Atherosclerosis in Patients with Psoriasis. Echocardiography. 31(9). 1095–1104. 69 indexed citations
20.

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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