Hasan Badem
Impact in
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
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- Neural Networks and Applications 5
- Metaheuristic Optimization Algorithms Research 3
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- Face and Expression Recognition 3
- Co-authors
- Abdullah Çalışkan (16 shared papers)Alper Baştürk (13 shared papers)Mehmet Emin Yüksel (11 shared papers)Derviş Karaboğa (4 shared papers)Selçuk Aslan (3 shared papers)Zeynel Abidin Çil (3 shared papers)Cem Sınanoğlu (1 shared paper)
- Journals
- Applied Soft Computing (2 papers)Chinese Journal of Mechanical Engineering (1 paper)Journal of Intelligent & Fuzzy Systems (1 paper)IEEE Transactions on Fuzzy Systems (1 paper)Engineering Applications of Artificial Intelligence (1 paper)
- Partner nations
- TürkiyeSaudi Arabia
In The Last Decade
Hasan Badem
23 papers receiving 413 citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 187
- Health Information Management 25
- Computer Vision and Pattern Recognition 99
- Signal Processing 39
- Media Technology 29
Countries citing papers authored by Hasan Badem
This map shows the geographic impact of Hasan Badem'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 Hasan Badem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hasan Badem more than expected).
Fields of papers citing papers by Hasan Badem
This network shows the impact of papers produced by Hasan Badem. 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 Hasan Badem. The network helps show where Hasan Badem may publish in the future.
Co-authors
The 7 scholars most cited alongside Hasan Badem, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 94 | |
| 2 | DIAGNOSIS OF THE PARKINSON DISEASE BY USING DEEP NEURAL NETWORK CLASSIFIER | 2017 | 54 |
| 3 | 2019 | 48 | |
| 4 | 2017 | 44 | |
| 5 | 2018 | 41 | |
| 6 | 2018 | 21 | |
| 7 | 2017 | 20 | |
| 8 | 2020 | 19 | |
| 9 | 2020 | 18 | |
| 10 | 2020 | 16 | |
| 11 | Classification and diagnosis of the parkinson disease by stacked autoencoder | 2016 | 13 |
| 12 | 2017 | 12 | |
| 13 | 2016 | 11 | |
| 14 | 2017 | 8 | |
| 15 | 2019 | 5 | |
| 16 | 2016 | 4 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2015 | 2 |
About Hasan Badem
Hasan Badem is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Physiology and Biomedical Engineering, having authored 27 papers that have together received 440 indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Voice and Speech Disorders (4 papers), Face and Expression Recognition (3 papers), Music and Audio Processing (3 papers), EEG and Brain-Computer Interfaces (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Muscle activation and electromyography studies (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Artificial Intelligence (187 citations), Health Information Management (25 citations), Computer Vision and Pattern Recognition (99 citations), Signal Processing (39 citations) and Media Technology (29 citations). Hasan Badem has collaborated with scholars based in Türkiye and Saudi Arabia. Frequent co-authors include Abdullah Çalışkan, Alper Baştürk, Mehmet Emin Yüksel, Derviş Karaboğa, Selçuk Aslan, Zeynel Abidin Çil and Cem Sınanoğlu. Their work appears in journals such as Applied Soft Computing, Chinese Journal of Mechanical Engineering, Journal of Intelligent & Fuzzy Systems, IEEE Transactions on Fuzzy Systems and Engineering Applications of Artificial Intelligence.
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.