Kemal Adem

42 papers receiving 841 citations

Hit Papers

Automatic detection and classification of leaf spot disease in sugar beet using deep learning algorithms 2019 · 218 citations
218201920262021202350100150200

Peers

Kemal Adem
Comparison fields: 5 of 123
  • Health Information Management 76
  • Analytical Chemistry 135
  • Plant Science 301
  • Computer Vision and Pattern Recognition 159
  • Artificial Intelligence 250
Replace Kemal Akyol with:
Kemal Akyol Türkiye
L V Narasimha Prasad India
Salman Qadri Pakistan
Shagun Sharma India
Rakesh Chandra Joshi India
Momina Masood Pakistan
Daniela Elena Popescu Romania
Sweta Jain India
Marriam Nawaz Pakistan
Ebenezer O. Olaniyi United States
Kemal Adem relative to Kemal Akyol Türkiye Kemal Akyol's profile →
Citations per field
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Kemal Akyol · 1×
Citations per year

Countries citing papers authored by Kemal Adem

Since Specialization
Citations

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

Fields of papers citing papers by Kemal Adem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 9 scholars most cited alongside Kemal Adem, 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 Kemal Adem Line = papers co-authored together Kemal Adem links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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3 20241
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14 202076
15 201911
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DIVORCE PREDICTION USING CORRELATION BASED FEATURE SELECTION AND ARTIFICIAL NEURAL NETWORKS
201923
17 201912
18 20183
19
The Comparison Of New Web Communication Method WebSocket With Traditional Methods
20162
20
Least Squares Approach to Locally Weighted Naive Bayes Method
20125

About Kemal Adem

Kemal Adem is a scholar working on Analytical Chemistry, Computer Vision and Pattern Recognition, Health Information Management, Media Technology and Artificial Intelligence, having authored 47 papers that have together received 877 indexed citations. Recurring topics across this work include Smart Agriculture and AI (10 papers), Spectroscopy and Chemometric Analyses (8 papers), AI in cancer detection (6 papers), Market Dynamics and Volatility (4 papers), Stock Market Forecasting Methods (4 papers), Industrial Vision Systems and Defect Detection (4 papers), Currency Recognition and Detection (4 papers) and Vehicle License Plate Recognition (3 papers). The work is most often cited by research in Health Information Management (76 citations), Analytical Chemistry (135 citations), Plant Science (301 citations), Computer Vision and Pattern Recognition (159 citations) and Artificial Intelligence (250 citations). Kemal Adem has collaborated with scholars based in Türkiye, Yemen and United States. Frequent co-authors include Mehmet Metin Özgüven, Serhat Kılıçarslan, Mete Çelik, Mahmut Hekim, Tahsin İlhan, Umut Orhan, Orhan Dengız, Pelin Alaboz and Ramazan Katırcı. Their work appears in journals such as Expert Systems with Applications, Multimedia Tools and Applications, Physica A Statistical Mechanics and its Applications, European Food Research and Technology and Photodiagnosis and Photodynamic Therapy.

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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2026