Akın Özçift

1.1k citations
26 papers · 864 · h-index 13

Impact in

Papers in

    • Sentiment Analysis and Opinion Mining 5
    • Imbalanced Data Classification Techniques 4
    • Topic Modeling 4
    • Natural Language Processing Techniques 3
    • Advanced Text Analysis Techniques 3
    • Software Engineering Research 3

Akın Özçift

25 papers receiving 833 citations

Peers

Akın Özçift
Comparison fields: 5 of 123
  • Health Information Management 130
  • Software 72
  • Artificial Intelligence 421
  • Health Informatics 10
  • Information Systems 150
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Soufiane Hamida Morocco
Sandeep Kumar Mathivanan India
Manar Ahmed Hamza Saudi Arabia
Hadeel Alsolai Saudi Arabia
Dina Elreedy Egypt
Ishfaq Yaseen Saudi Arabia
Jafar Tanha Iran
Chiao-Wen Liu Taiwan
Zhaonan Sun China
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Citations per field
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Citations per year

Countries citing papers authored by Akın Özçift

Since Specialization
Citations

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

Fields of papers citing papers by Akın Özçift

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Akın Özçift, 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 Akın Özçift Line = papers co-authored together Akın Özçift links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011238
2 2011140
3 201198
4 201567
5 201965
6 201949
7 202130
8 201028
9 201626
10 201823
11 202217
12 201116
13
MEDICAL SENTIMENT ANALYSIS BASED ON SOFT VOTING ENSEMBLE ALGORITHM
202012
14 202010
15 200810
16 20099
17 20168
18 20126
19 20194
20
Yazılım Hata Kestiriminde Kolektif Sınıflandırma Modellerinin Etkisi.
20152

About Akın Özçift

Akın Özçift is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Computer Networks and Communications and Sociology and Political Science, having authored 26 papers that have together received 864 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (5 papers), Imbalanced Data Classification Techniques (4 papers), Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers), Software Engineering Research (3 papers), Advanced Text Analysis Techniques (3 papers), Machine Learning in Bioinformatics (3 papers) and Software Reliability and Analysis Research (3 papers). The work is most often cited by research in Health Information Management (130 citations), Software (72 citations), Artificial Intelligence (421 citations), Health Informatics (10 citations) and Information Systems (150 citations). Akın Özçift has collaborated with scholars based in Türkiye, India and China. Frequent co-authors include Arif Gülten, Deniz Kılınç, Kıvanç Başaran, Pelin Yıldırım Taşer and Mehmet Kaya. Their work appears in journals such as Journal of Medical Systems, Expert Systems with Applications, Computer Methods and Programs in Biomedicine, European Journal of Mass Spectrometry and Engineering Science and Technology an International Journal.

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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