Hasan Badem

588 total citations
27 papers, 440 citations indexed

About

Hasan Badem is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Hasan Badem has authored 27 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Hasan Badem's work include Neural Networks and Applications (5 papers), Voice and Speech Disorders (4 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Hasan Badem is often cited by papers focused on Neural Networks and Applications (5 papers), Voice and Speech Disorders (4 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Hasan Badem collaborates with scholars based in Türkiye and Saudi Arabia. Hasan Badem's co-authors include Abdullah Çalışkan, Alper Baştürk, Mehmet Emin Yüksel, Derviş Karaboğa, Selçuk Aslan, Zeynel Abidin Çil and Cem Sınanoğlu and has published in prestigious journals such as IEEE Transactions on Fuzzy Systems, Neurocomputing and Applied Soft Computing.

In The Last Decade

Hasan Badem

23 papers receiving 413 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hasan Badem Türkiye	12	187	99	50	40	39	27	440
Hong-Mo Je South Korea	6	201 1.1×	191 1.9×	22 0.4×	35 0.9×	38 1.0×	10	484
Benayad Nsiri Morocco	12	98 0.5×	111 1.1×	9 0.2×	26 0.7×	111 2.8×	66	528
Mehmet Emin Yüksel Türkiye	17	237 1.3×	380 3.8×	37 0.7×	56 1.4×	133 3.4×	40	776
Arūnas Lipnickas Lithuania	9	141 0.8×	119 1.2×	15 0.3×	19 0.5×	28 0.7×	43	375
M.R. Ito Canada	14	150 0.8×	80 0.8×	30 0.6×	143 3.6×	119 3.1×	99	904
Mona A. S. Ali Egypt	15	132 0.7×	75 0.8×	14 0.3×	18 0.5×	9 0.2×	25	518
Vanessa Gómez-Verdejo Spain	14	239 1.3×	122 1.2×	16 0.3×	22 0.6×	133 3.4×	41	560
Andrej Gisbrecht Germany	11	219 1.2×	204 2.1×	22 0.4×	22 0.6×	37 0.9×	27	494
Maria Valueva Russia	7	143 0.8×	116 1.2×	34 0.7×	36 0.9×	34 0.9×	26	462

Countries citing papers authored by Hasan Badem

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Hasan Badem

This figure shows the co-authorship network connecting the top 25 collaborators of Hasan Badem. A scholar is included among the top collaborators of Hasan Badem 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 Hasan Badem. Hasan Badem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Badem, Hasan, et al.. (2025). GENETİK ALGORİTMA TEMELLİ ÖZNİTELİK SEÇİMİNİN ANEMİ HASTALIĞININ TESPİTİNE ETKİSİ. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi. 28(1). 309–321.

Badem, Hasan, et al.. (2024). A New Metaheuristic Approach to Diagnosis of Parkinson’s Disease Through Audio Signals. Elektronika ir Elektrotechnika. 30(4). 68–75. 2 indexed citations

Badem, Hasan, et al.. (2023). Detection of Corneal Ulcer Using a Genetic Algorithm-Based Image Selection and Residual Neural Network. Bioengineering. 10(6). 639–639. 2 indexed citations

Badem, Hasan, et al.. (2021). Makine Öğrenmesi Yöntemlerinin Felç Riskinin Belirlenmesinde Performansı: Karşılaştırmalı bir çalışma. DergiPark (Istanbul University).

Sınanoğlu, Cem, et al.. (2020). Prediction of Leakage from an Axial Piston Pump Slipper with Circular Dimples Using Deep Neural Networks. Chinese Journal of Mechanical Engineering. 33(1). 18 indexed citations

Çalışkan, Abdullah, Zeynel Abidin Çil, Hasan Badem, & Derviş Karaboğa. (2020). Regression-Based Neuro-Fuzzy Network Trained by ABC Algorithm for High-Density Impulse Noise Elimination. IEEE Transactions on Fuzzy Systems. 28(6). 1084–1095. 19 indexed citations

Aslan, Selçuk, Derviş Karaboğa, & Hasan Badem. (2020). A new artificial bee colony algorithm employing intelligent forager forwarding strategies. Applied Soft Computing. 96. 106656–106656. 16 indexed citations

Çalışkan, Abdullah, Hasan Badem, & Zeynel Abidin Çil. (2019). Determination of Window Size and Sliding Interval for EMG Signals by Using Genetic Algorithm. 1–4. 1 indexed citations

Badem, Hasan. (2019). PARKİNSON HASTALIĞININ SES SİNYALLERİ ÜZERİNDEN MAKİNE ÖĞRENMESİ TEKNİKLERİ İLE TANIMLANMASI. Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi. 5 indexed citations

10.

Badem, Hasan, et al.. (2019). Feature Selection Based on Artificial Bee Colony for Parkinson Disease Diagnosis. 1–4. 2 indexed citations

11.

Badem, Hasan, Alper Baştürk, Abdullah Çalışkan, & Mehmet Emin Yüksel. (2018). A new hybrid optimization method combining artificial bee colony and limited-memory BFGS algorithms for efficient numerical optimization. Applied Soft Computing. 70. 826–844. 41 indexed citations

12.

Yüksel, Mehmet Emin, et al.. (2018). Classification of high resolution hyperspectral remote sensing data using deep neural networks. Journal of Intelligent & Fuzzy Systems. 34(4). 2273–2285. 21 indexed citations

13.

Baştürk, Alper, Mehmet Emin Yüksel, Abdullah Çalışkan, & Hasan Badem. (2017). Deep neural network classifier for hand movement prediction. 1–4. 8 indexed citations

14.

Baştürk, Alper, et al.. (2017). Deep neural network based diagnosis system for melanoma skin cancer. 12 indexed citations

15.

Çalışkan, Abdullah, Hasan Badem, Alper Baştürk, & Mehmet Emin Yüksel. (2016). A comparative study on classification by deep learning. 1 indexed citations

16.

Badem, Hasan, Abdullah Çalışkan, Alper Baştürk, & Mehmet Emin Yüksel. (2016). Classification of human activity by using a Stacked Autoencoder. 1–4. 11 indexed citations

17.

Badem, Hasan, et al.. (2016). Detecting Direction of Pepper Stem by Using CUDA-Based Accelerated Hybrid Intuitionistic Fuzzy Edge Detection and ANN. Journal of Sensors. 2016. 1–11. 4 indexed citations

18.

Badem, Hasan, Abdullah Çalışkan, Alper Baştürk, & Mehmet Emin Yüksel. (2016). Classification and diagnosis of the parkinson disease by stacked autoencoder. 13 indexed citations

19.

Çalışkan, Abdullah, Hasan Badem, Alper Baştürk, & Mehmet Emin Yüksel. (2016). The effect of autoencoders over reducing the dimensionality of a dermatology data set. 313. 1–4. 2 indexed citations

20.

Badem, Hasan, et al.. (2015). CUDA-based hybrid intuitionistic fuzzy edge detection algorithm. 9. 1–6. 2 indexed citations

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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