Berrin Yanıkoğlu

3.6k citations
88 papers · 2.8k · 1 hit paper · h-index 26

Impact in

Papers in

    • Handwritten Text Recognition Techniques 27
    • Advanced Image and Video Retrieval Techniques 13
    • Image Retrieval and Classification Techniques 11
    • Natural Language Processing Techniques 16
    • Topic Modeling 15
    • Advanced Text Analysis Techniques 11
    • Sentiment Analysis and Opinion Mining 10

Berrin Yanıkoğlu

83 papers receiving 2.6k citations

Berrin Yanıkoğlu's Hit Papers

Plant identification using deep neural networks via optimization of transfer learning parameters 2017 · 446 citations
4460+3+6Years since publication100200300400

Peers

Berrin Yanıkoğlu
Comparison fields: 5 of 132
  • Computer Vision and Pattern Recognition 1.4k
  • Media Technology 462
  • Signal Processing 464
  • Analytical Chemistry 264
  • Human-Computer Interaction 151
Replace D. S. Guru with:
D. S. Guru India
Anand Singh Jalal India
De Rosal Ignatius Moses Setiadi Indonesia
Joonwhoan Lee South Korea
Siome Goldenstein Brazil
Nozha Boujemaa France
Shuqiang Jiang China
Krishan Kumar India
Xi Yin United States
Ebroul Izquierdo United Kingdom
Berrin Yanıkoğlu relative to D. S. Guru India D. S. Guru's profile →
Citations per field
00.5×1.5×2.3×
D. S. Guru · 1×
Citations per year

Countries citing papers authored by Berrin Yanıkoğlu

Since Specialization
Citations

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

Fields of papers citing papers by Berrin Yanıkoğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Berrin Yanıkoğlu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Berrin Yanıkoğlu Line = papers co-authored together Berrin Yanıkoğlu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Plant identification using deep neural networks via optimization of transfer learning parameters
Hit paper breakdown →
2017446
2 2005343
3 2016133
4 2021122
5 2011101
6 200896
7 200895
8 199886
9 200985
10 201082
11 201581
12 201479
13 201179
14 201678
15 199876
16 202251
17 202051
18 201337
19 200635
20 200834

About Berrin Yanıkoğlu

Berrin Yanıkoğlu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Plant Science and Signal Processing, having authored 88 papers that have together received 2.8k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (27 papers), Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers), Advanced Image and Video Retrieval Techniques (13 papers), Smart Agriculture and AI (12 papers), Advanced Text Analysis Techniques (11 papers), Image Retrieval and Classification Techniques (11 papers) and Sentiment Analysis and Opinion Mining (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Media Technology (462 citations), Signal Processing (464 citations), Analytical Chemistry (264 citations) and Human-Computer Interaction (151 citations). Berrin Yanıkoğlu has collaborated with scholars based in Türkiye, United States and United Kingdom. Frequent co-authors include Alisher Kholmatov, Erchan Aptoula, Mostafa Mehdipour Ghazi, Muammer Türkoğlu, Davut Hanbay, Yücel Saygın, Luc Vincent, Kemal Oflazer, Gözde Ünal and Hüseyin Üzen. Their work appears in journals such as Pattern Recognition, Neurocomputing, Natural Language Engineering, The Computer Journal and IEEE Geoscience and Remote Sensing Letters.

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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