Performance analysis of the energy efficient clustering models in wireless sensor networks. - Sercan Yalçin; Ebubekir Erdem (ICECS, 2017)

Threshold Balanced Sampled DEEC Model for Heterogeneous Wireless Sensor Networks. - Sercan Yalçin; Ebubekir Erdem (Wirel. Commun. Mob. Comput., 2018)

Bacteria Interactive Cost and Balanced-Compromised Approach to Clustering and Transmission Boundary-Range Cognitive Routing In Mobile Heterogeneous Wireless Sensor Networks. - Sercan Yalçin; Ebubekir Erdem (Sensors, 2019)

A mobile sink path planning for wireless sensor networks based on priority-ordered dependent nonparametric trees. - Sercan Yalçin; Ebubekir Erdem (Int. J. Commun. Syst., 2020)

Heterojen kablosuz algılayıcı ağlarında çoklu gezgin alıcı düğüm tabanlı enerji verimli kümeleme ve yönlendirme yaklaşımları (Multi-mobile sink based energy efficient clustering and routing approaches in heterogeneous wireless sensor networks) - Sercan Yalçin (2021)

Brain stroke classification and segmentation using encoder-decoder based deep convolutional neural networks. - Sercan Yalçin; Hüseyin Vural (Comput. Biol. Medicine, 2022)

Weather parameters forecasting with time series using deep hybrid neural networks. - Sercan Yalçin (Concurr. Comput. Pract. Exp., 2022)

An improved genetic algorithm approach to spectrum sensing for long range based cognitive radio networks. - Sercan Yalçin (Trans. Emerg. Telecommun. Technol., 2022)

TEO-MCRP: Thermal exchange optimization-based clustering routing protocol with a mobile sink for wireless sensor networks. - Sercan Yalçin; Ebubekir Erdem (J. King Saud Univ. Comput. Inf. Sci., 2022)

Climatological parameters estimation based on artificial intelligence techniques with particle swarm optimization and deep neural networks. - Sercan Yalçin; Musa Esit; Mehmet Ishak Yuce (J. Univers. Comput. Sci., 2022)

A new deep learning method for meteorological drought estimation based-on standard precipitation evapotranspiration index. - Sercan Yalçin; Musa Esit; Önder Çoban (Eng. Appl. Artif. Intell., 2023)

An artificial intelligence-based spectrum sensing methodology for LoRa and cognitive radio networks. - Sercan Yalçin (Int. J. Commun. Syst., 2023)

Effective cluster scheduling scheme using local gravitation method for wireless sensor networks. - Sercan Yalçin; Ebubekir Erdem (Expert Syst. Appl., 2023)

Advanced convolutional neural network modeling for fuel cell system optimization and efficiency in methane, methanol, and diesel reforming. - Sercan Yalçin; Muhammed Yildirim; Bilal Alatas (PeerJ Comput. Sci., 2024)

Content-Based Brain Magnetic Resonance Image Retrieval and Classification With the Proposed Deep Learning and Tissue-Based System. - Bedriye Dogan; Hursit Burak Mutlu; Muhammed Yildirim; Sercan Yalçin; Serpil Aslan; Niranjana Sampathila; Özal Yildirim; Edward J. Ciaccio; Ru-San Tan; U. Rajendra Acharya (IEEE Access, 2025)

Multi-task advanced convolutional neural network for robust lymphoblastic leukemia diagnosis, classification, and segmentation. - Sercan Yalçin; Zuhal Cetin Yalcin; Muhammed Yildirim; Bilal Alatas (PeerJ Comput. Sci., 2025)