Kadir Sabancı

3.0k citations

110 papers · 2.1k indexed · 2 hit papers · h-index 25

Plant Science top 5%
Artificial Intelligence top 5%
Analytical Chemistry top 1%
Radiology, Nuclear Medicine and Imaging top 5%
Computer Vision and Pattern Recognition top 5%

Co-authors: Muhammet Fatih Aslan Akif Durdu Muhammed Fahri Ünlerşen Ewa Ropelewska Abdurrahim Toktaş Ahmet Kayabaşı Enes Yi̇ği̇t Murat Köklü
Topics: Spectroscopy and Chemometric Analyses (41 papers)Smart Agriculture and AI (37 papers)COVID-19 diagnosis using AI (9 papers)
Cited by: Analytical Chemistry Health Informatics Plant Science
Journals: Scientific Reports Expert Systems with Applications Sensors
Partner nations: Türkiye Poland Bulgaria

In The Last Decade

Kadir Sabancı

104 papers receiving 2.0k citations

Hit Papers

align trajectories

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.

CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection

2020 258 citations Muhammet Fatih Aslan, Muhammed Fahri Ünlerşen et al. Applied Soft Computing profile →
A Comprehensive Survey of the Recent Studies with UAV for Precision Agriculture in Open Fields and Greenhouses

2022 146 citations Muhammet Fatih Aslan, Akif Durdu et al. Applied Sciences profile →

Peers

Countries citing papers authored by Kadir Sabancı

Since Specialization

Citations

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

Fields of papers citing papers by Kadir Sabancı

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kadir Sabancı

This figure shows the co-authorship network connecting the top 25 collaborators of Kadir Sabancı. A scholar is included among the top collaborators of Kadir Sabancı 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 Kadir Sabancı. Kadir Sabancı 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

#	Work	Indexed citations
1	Artificial Intelligence Techniques in Crop Yield Estimation Based on Sentinel-2 Data: A Comprehensive Survey 2024 ·Sustainability ·Muhammet Fatih Aslan,Kadir Sabancı,(unknown)	27
2	Goal distance-based UAV path planning approach, path optimization and learning-based path estimation: GDRRT, PSO-GDRRT and BiLSTM-PSO-GDRRT* 2023 ·Applied Soft Computing ·Muhammet Fatih Aslan,Akif Durdu,Kadir Sabancı	43
3	The classification of leek seeds based on fluorescence spectroscopic data using machine learning 2023 ·European Food Research and Technology ·Ewa Ropelewska,Kadir Sabancı,(unknown),(unknown)	2
4	The application of fluorescence spectroscopy and machine learning as non-destructive approach to distinguish two different varieties of greenhouse tomatoes 2023 ·European Food Research and Technology ·(unknown),Ewa Ropelewska,Kadir Sabancı	1
5	The effect of lacto‐fermentation over time on the changes in zucchini flesh quality assessed using machine learning models based on image textures 2023 ·Journal of Food Process Engineering ·Ewa Ropelewska,Kadir Sabancı,Muhammet Fatih Aslan	5
6	Integrated transcriptomic meta-analysis and comparative artificial intelligence models in maize under biotic stress 2023 ·Scientific Reports ·Leyla Nazari,Muhammet Fatih Aslan,Kadir Sabancı,Ewa Ropelewska	6
7	The Changes in Bell Pepper Flesh as a Result of Lacto-Fermentation Evaluated Using Image Features and Machine Learning 2022 ·Foods ·Ewa Ropelewska,Kadir Sabancı,Muhammet Fatih Aslan	19
8	Authentication of tomato (Solanum lycopersicum L.) cultivars using discriminative models based on texture parameters of flesh and skin images 2022 ·European Food Research and Technology ·Ewa Ropelewska,Kadir Sabancı,Muhammet Fatih Aslan	8
9	CNN–SVM hybrid model for varietal classification of wheat based on bulk samples 2022 ·European Food Research and Technology ·Muhammed Fahri Ünlerşen,(unknown),Muhammet Fatih Aslan,(unknown),Nevzat Aydın,Kadir Sabancı,Ewa Ropelewska	33
10	A Comprehensive Survey of the Recent Studies with UAV for Precision Agriculture in Open Fields and Greenhousesbreakdown → 2022 ·Applied Sciences ·Muhammet Fatih Aslan,Akif Durdu,Kadir Sabancı,Ewa Ropelewska,Seyfettin Sinan Gültekın	146
11	A New Approach to COVID-19 Detection: An ANN Proposal Optimized through Tree-Seed Algorithm 2022 ·Symmetry ·Muhammet Fatih Aslan,Kadir Sabancı,Ewa Ropelewska	13
12	A Novel Approach to the Authentication of Apricot Seed Cultivars Using Innovative Models Based on Image Texture Parameters 2022 ·Horticulturae ·Ewa Ropelewska,Kadir Sabancı,Muhammet Fatih Aslan,(unknown)	6
13	Distinguishing Pickled and Fresh Cucumber Slices Using Digital Image Processing and Machine Learning 2022 ·MDPI (MDPI AG) ·Ewa Ropelewska,Kadir Sabancı,Muhammet Fatih Aslan	1
14	Benchmarking analysis of CNN models for pits of sour cherry cultivars 2022 ·European Food Research and Technology ·Kadir Sabancı,Muhammet Fatih Aslan,Ewa Ropelewska	10
15	Benchmarking Machine Learning Approaches to Evaluate the Cultivar Differentiation of Plum (Prunus domestica L.) Kernels 2022 ·Agriculture ·Ewa Ropelewska,Xiang Cai,Zhang Zhan,Kadir Sabancı,Muhammet Fatih Aslan	16
16	Differentiation of Yeast-Inoculated and Uninoculated Tomatoes Using Fluorescence Spectroscopy Combined with Machine Learning 2022 ·Agriculture ·Ewa Ropelewska,(unknown),Kadir Sabancı,Muhammet Fatih Aslan,(unknown),(unknown)	5
17	Flesh of pumpkin from ecological farming as part of fruit suitable for non-destructive cultivar classification using computer vision 2021 ·European Food Research and Technology ·Ewa Ropelewska,(unknown),Kadir Sabancı,Muhammet Fatih Aslan	6
18	Cultivar identification of sweet cherries based on texture parameters determined using image analysis 2021 ·Journal of Food Process Engineering ·Ewa Ropelewska,(unknown),Kadir Sabancı,Muhammet Fatih Aslan	11
19	Discriminative Power of Geometric Parameters of Different Cultivars of Sour Cherry Pits Determined Using Machine Learning 2021 ·Agriculture ·Ewa Ropelewska,Kadir Sabancı,Muhammet Fatih Aslan	10
20	Smart Robotic Weed Control System for Sugar Beet 2017 ·Journal of Agricultural Science and Technology ·Kadir Sabancı,C. Aydi̇n	18

About Kadir Sabancı

Kadir Sabancı is a scholar working on Analytical Chemistry, Plant Science and Health Informatics, having authored 110 papers that have together received 2.1k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (41 papers), Smart Agriculture and AI (37 papers) and COVID-19 diagnosis using AI (9 papers). The work is most often cited by research in Analytical Chemistry (421 citations), Health Informatics (37 citations) and Plant Science (652 citations). Kadir Sabancı has collaborated with scholars based in Türkiye, Poland and Bulgaria. Frequent co-authors include Muhammet Fatih Aslan, Akif Durdu, Muhammed Fahri Ünlerşen, Ewa Ropelewska, Abdurrahim Toktaş, Ahmet Kayabaşı, Enes Yi̇ği̇t, Murat Köklü, Selami Balcı and Seyfettin Sinan Gültekın. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and Sensors.

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