D-Index & Metrics Best Publications

Abdulkadir Sengur

Fırat University
Turkey

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 39 Citations 6,370 166 World Ranking 6124 National Ranking 7

Overview

What is he best known for?

The fields of study Abdulkadir Sengur is best known for:

Image segmentation
Speckle noise
Speckle pattern

His Artificial intelligence study frequently intersects with other fields, such as Similarity measure. His research on Pattern recognition (psychology) often connects related topics like Artificial intelligence. He incorporates Computer vision and Image processing in his studies. Abdulkadir Sengur performs multidisciplinary study on Image processing and Image segmentation in his works. He merges Image segmentation with Thresholding in his research. His work on Segmentation is being expanded to include thematically relevant topics such as Segmentation-based object categorization. His Segmentation-based object categorization study frequently draws connections to other fields, such as Scale-space segmentation. Scale-space segmentation is closely attributed to Segmentation in his study. His work on Image (mathematics) is being expanded to include thematically relevant topics such as Similarity (geometry).

His most cited work include:

A novel image thresholding algorithm based on neutrosophic similarity score (82 citations)
Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images (82 citations)
A novel breast ultrasound image segmentation algorithm based on neutrosophic similarity score and level set (71 citations)

What are the main themes of his work throughout his whole career to date

His work often combines Artificial intelligence and Speech recognition studies. Abdulkadir Sengur undertakes interdisciplinary study in the fields of Speech recognition and Artificial intelligence through his works. His Computer vision study frequently draws parallels with other fields, such as Filter (signal processing). His study ties his expertise on Computer vision together with the subject of Filter (signal processing). His research on Image (mathematics) frequently connects to adjacent areas such as Noise (video). Noise (video) and Image (mathematics) are commonly linked in his work. Abdulkadir Sengur integrates Convolutional neural network with Deep learning in his study. In his works, Abdulkadir Sengur conducts interdisciplinary research on Deep learning and Convolutional neural network. His work on Segmentation is being expanded to include thematically relevant topics such as Image segmentation.

Abdulkadir Sengur most often published in these fields:

Artificial intelligence (96.55%)
Pattern recognition (psychology) (89.66%)
Computer vision (44.83%)

What were the highlights of his more recent work (between 2020-2022)?

Artificial intelligence (100.00%)
Pattern recognition (psychology) (100.00%)
Convolutional neural network (100.00%)

In recent works Abdulkadir Sengur was focusing on the following fields of study:

Many of his studies on Speech recognition involve topics that are commonly interrelated, such as Cepstrum and Spectrogram. Abdulkadir Sengur performs multidisciplinary studies into Cepstrum and Mel-frequency cepstrum in his work. His Spectrogram study frequently draws connections to other fields, such as Speech recognition. His Classifier (UML) research extends to the thematically linked field of Artificial intelligence. His research links Artificial intelligence with Pattern recognition (psychology). Abdulkadir Sengur integrates Convolutional neural network and Support vector machine in his studies. In his papers, he integrates diverse fields, such as Support vector machine and Feature extraction. His study on Feature extraction is mostly dedicated to connecting different topics, such as Mel-frequency cepstrum. He incorporates Machine learning and Convolutional neural network in his research.

Between 2020 and 2022, his most popular works were:

Attention guided 3D CNN-LSTM model for accurate speech based emotion recognition (34 citations)
Efficient COVID-19 Segmentation from CT Slices Exploiting Semantic Segmentation with Integrated Attention Mechanism (17 citations)
DeepCov19Net: Automated COVID-19 Disease Detection with a Robust and Effective Technique Deep Learning Approach (7 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Effective diagnosis of heart disease through neural networks ensembles

Resul Das;Ibrahim Turkoglu;Abdulkadir Sengur.
Expert Systems With Applications (2009)

618 Citations

Deep Learning Approaches for COVID-19 Detection Based on Chest X-ray Images.

Aras Masood Ismael;Abdulkadir Sengür.
Expert Systems With Applications (2021)

286 Citations

Artificial neural network and wavelet neural network approaches for modelling of a solar air heater

Hikmet Esen;Filiz Ozgen;Mehmet Esen;Abdulkadir Sengur.
Expert Systems With Applications (2009)

286 Citations

Performance prediction of a ground-coupled heat pump system using artificial neural networks

Hikmet Esen;Mustafa Inalli;Abdulkadir Sengur;Mehmet Esen.
Expert Systems With Applications (2008)

230 Citations

Artificial neural networks and adaptive neuro-fuzzy assessments for ground-coupled heat pump system

Hikmet Esen;Mustafa Inalli;Abdulkadir Sengur;Mehmet Esen.
Energy and Buildings (2008)

214 Citations

Modelling of a new solar air heater through least-squares support vector machines

Hikmet Esen;Filiz Ozgen;Mehmet Esen;Abdulkadir Sengur.
Expert Systems With Applications (2009)

199 Citations

Forecasting of a ground-coupled heat pump performance using neural networks with statistical data weighting pre-processing

Hikmet Esen;Mustafa Inalli;Abdulkadir Sengur;Mehmet Esen.
International Journal of Thermal Sciences (2008)

193 Citations

Color texture image segmentation based on neutrosophic set and wavelet transformation

Abdulkadir Sengur;Yanhui Guo.
Computer Vision and Image Understanding (2011)

153 Citations

Modeling a ground-coupled heat pump system by a support vector machine

Hikmet Esen;Mustafa Inalli;Abdulkadir Sengur;Mehmet Esen.
Renewable Energy (2008)

146 Citations

Transfer learning based histopathologic image classification for breast cancer detection

Erkan Deniz;Abdulkadir Şengür;Zehra Kadiroğlu;Yanhui Guo.
health information science (2018)

142 Citations

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Frequent Co-Authors

External Links

Personal Website for Abdulkadir Sengur