Erchan Aptoula

2.5k total citations · 1 hit paper
74 papers, 1.7k citations indexed

About

Erchan Aptoula is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Plant Science. According to data from OpenAlex, Erchan Aptoula has authored 74 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 44 papers in Media Technology and 17 papers in Plant Science. Recurrent topics in Erchan Aptoula's work include Remote-Sensing Image Classification (43 papers), Image Retrieval and Classification Techniques (28 papers) and Advanced Image and Video Retrieval Techniques (24 papers). Erchan Aptoula is often cited by papers focused on Remote-Sensing Image Classification (43 papers), Image Retrieval and Classification Techniques (28 papers) and Advanced Image and Video Retrieval Techniques (24 papers). Erchan Aptoula collaborates with scholars based in Türkiye, France and United Kingdom. Erchan Aptoula's co-authors include Berrin Yanıkoğlu, Sébastien Lefèvre, Mostafa Mehdipour Ghazi, Petra Bosilj, Tom Duckett, Grzegorz Cielniak, Sema Arıman, Minh‐Tan Pham, Koray Kayabol and Yakup Genç and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Erchan Aptoula

70 papers receiving 1.6k citations

Hit Papers

Plant identification using deep neural networks via optim... 2017 2026 2020 2023 2017 100 200 300

Peers

Erchan Aptoula
Comparison fields: 5 of 100
  • Computer Vision and Pattern Recognition 656
  • Media Technology 652
  • Plant Science 530
  • Atmospheric Science 311
  • Ecology 297
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Hang Zhou China
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Citations per field, relative to Erchan Aptoula
Erchan Aptoula · 1×
Citations per year, relative to Erchan Aptoula
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Countries citing papers authored by Erchan Aptoula

Since Specialization
Citations

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

Fields of papers citing papers by Erchan Aptoula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erchan Aptoula

This figure shows the co-authorship network connecting the top 25 collaborators of Erchan Aptoula. A scholar is included among the top collaborators of Erchan Aptoula 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 Erchan Aptoula. Erchan Aptoula 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
# Work Indexed citations
1 0
2 2
3 1
4 5
5 12
6 8
7 40
8 30
9
Plant Identification with Deep Learning Ensembles.
1
10 3
11 18
12
Plant Identification with Large Number of Classes: SabanciU-GebzeTU System in PlantCLEF 2017.
3
13 24
14 16
15
Open-set plant identification using an ensemble of deep convolutional neural networks
5
16
Sabanci-Okan system in LifeCLEF 2015 plant identification competition
5
17
Sabanci-Okan system at imageclef 2013 plant identification competition
3
18
Sabanci-Okan system at ImageClef 2012: combining features and classifiers for plant identification
14
19 8
20 42

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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