Ontology ANP based Multi-Criteria Decision Making Approach. - Abolghasem Sadeghi-Niaraki; Kyehyun Kim (IKE, 2008)

Driving Toward to Ontology Web Services Driven Application. - Abolghasem Sadeghi-Niaraki; Kyehyun Kim (SWWS, 2008)

Ontology driven road network analysis based on analytical network process technique. - Abolghasem Sadeghi-Niaraki; Kyehyun Kim; Cholyoung Lee (CSTST, 2008)

Designing Road Maintenance Data Model Using Dynamic Segmentation Technique. - Mohammad Reza Jelokhani-Niaraki; Ali Asghar Alesheikh; Abbas Alimohammadi; Abolghasem Sadeghi-Niaraki (ICCSA (1), 2009)

Corrigendum "Ontology based personalized route planning system using a multi-criteria decision making approach" [Experts Systems with Applications 36 (2P1) (2009) (1695-1705)]. - Abolghasem Sadeghi-Niaraki; Kyehyun Kim (Expert Syst. Appl., 2009)

Ontology based personalized route planning system using a multi-criteria decision making approach. - Abolghasem Sadeghi-Niaraki; Kyehyun Kim (Expert Syst. Appl., 2009)

A Semantic Wiki Framework for Reconciling Conflict Collaborations Based on Selecting Consensus Choice. - Dosam Hwang; Ngoc Thanh Nguyen 001; Jason J. Jung; Abolghasem Sadeghi-Niaraki; Kwang-Hyun Baek; Youngshin Han (J. Univers. Comput. Sci., 2010)

Real world representation of a road network for route planning in GIS. - Abolghasem Sadeghi-Niaraki; Masood Varshosaz; Kyehyun Kim; Jason J. Jung (Expert Syst. Appl., 2011)

Collaborative spam filtering based on incremental ontology learning. - Xuan Hau Pham; Namhee Lee; Jason J. Jung; Abolghasem Sadeghi-Niaraki (Telecommun. Syst., 2013)

A semantic-based classification and regression tree approach for modelling complex spatial rules in motor vehicle crashes domain. - Meysam Effati; Abolghasem Sadeghi-Niaraki (WIREs Data Mining Knowl. Discov., 2015)

A Theoretical Framework for Ubiquitous Computing. - Mahdi Hashemi 001; Abolghasem Sadeghi-Niaraki (Int. J. Adv. Pervasive Ubiquitous Comput., 2016)

GIS-based ride-sharing and DRT in Tehran city. - Hamed Faroqi; Abolghasem Sadeghi-Niaraki (Public Transp., 2016)

Ubiquitous sensor network simulation and emulation environments: A survey. - Mohammad Sharif; Abolghasem Sadeghi-Niaraki (J. Netw. Comput. Appl., 2017)

Drone Trajectory Planning Based on Geographic Information System for 3D Urban Modeling. - Somaiieh Rokhsaritalemi; Abolghasem Sadeghi-Niaraki; Soo-Mi Choi (ICTC, 2018)

Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network. - Dang Lien Minh; Abolghasem Sadeghi-Niaraki; Huynh Duc Huy; Kyungbok Min; Hyeonjoon Moon (IEEE Access, 2018)

Semantic interoperability of GIS and MCDA tools for environmental assessment and decision making. - Mohammadreza Jelokhani-Niaraki; Abolghasem Sadeghi-Niaraki; Soo-Mi Choi (Environ. Model. Softw., 2018)

Influence of network-based structural and power diversity on research performance. - Alireza Abbasi; Mahdi Jalili; Abolghasem Sadeghi-Niaraki (Scientometrics, 2018)

A Novel Method for Emotion Extraction From Paintings Based on Luscher's Psychological Color Test: Case Study Iranian-Islamic Paintings. - Babak Ranjgar; Mahdi Khoshlahjeh Azar; Abolghasem Sadeghi-Niaraki; Soo-Mi Choi (IEEE Access, 2019)

An Improved Route-Finding Algorithm Using Ubiquitous Ontology-Based Experiences Modeling. - Maryam Barzegar; Abolghasem Sadeghi-Niaraki; Maryam Shakeri; Soo-Mi Choi (Complex., 2019)

Optimal multi-product supplier selection under stochastic demand with service level and budget constraints using learning vector quantization neural network. - Hajar HormozzadehGhalati; Alireza Abbasi; Abolghasem Sadeghi-Niaraki (RAIRO Oper. Res., 2019)

Industry 4.0 Development Multi-Criteria Assessment: An Integrated Fuzzy DEMATEL, ANP and VIKOR Methodology. - Abolghasem Sadeghi-Niaraki (IEEE Access, 2020)

Short-Term Traffic Flow Prediction Using the Modified Elman Recurrent Neural Network Optimized Through a Genetic Algorithm. - Abolghasem Sadeghi-Niaraki; Parima Mirshafiei; Maryam Shakeri; Soo-Mi Choi (IEEE Access, 2020)

Crop pest recognition in natural scenes using convolutional neural networks. - Yanfen Li; Hanxiang Wang; Lien Minh Dang; Abolghasem Sadeghi-Niaraki; Hyeonjoon Moon (Comput. Electron. Agric., 2020)

Ubiquitous GIS-Based Forest Fire Susceptibility Mapping Using Artificial Intelligence Methods. - Seyed Vahid Razavi Termeh; Abolghasem Sadeghi-Niaraki; Soo-Mi Choi (Remote. Sens., 2020)

A Survey of Marker-Less Tracking and Registration Techniques for Health & Environmental Applications to Augmented Reality and Ubiquitous Geospatial Information Systems. - Abolghasem Sadeghi-Niaraki; Soo-Mi Choi (Sensors, 2020)

Performance Analysis of IoT-Based Health and Environment WSN Deployment. - Maryam Shakeri; Abolghasem Sadeghi-Niaraki; Soo-Mi Choi; S. M. Riazul Islam (Sensors, 2020)

Land Subsidence Susceptibility Mapping Using Persistent Scatterer SAR Interferometry Technique and Optimized Hybrid Machine Learning Algorithms. - Babak Ranjgar; Seyed Vahid Razavi Termeh; Fatemeh Foroughnia; Abolghasem Sadeghi-Niaraki; Daniele Perissin (Remote. Sens., 2021)

Spatial Modeling of Asthma-Prone Areas Using Remote Sensing and Ensemble Machine Learning Algorithms. - Seyed Vahid Razavi Termeh; Abolghasem Sadeghi-Niaraki; Soo-Mi Choi (Remote. Sens., 2021)

An IoT-Based Approach for Learning Geometric Shapes in Early Childhood. - Jalal Safari Bazargani; Abolghasem Sadeghi-Niaraki; Fatema Rahimi; Tamer Abuhmed; Soo-Mi Choi (IEEE Access, 2022)

Artificial Intelligence Applications in K-12 Education: A Systematic Literature Review. - Mostafa Zafari; Jalal Safari Bazargani; Abolghasem Sadeghi-Niaraki; Soo-Mi Choi (IEEE Access, 2022)

Integration of machine learning algorithms and GIS-based approaches to cutaneous leishmaniasis prevalence risk mapping. - Negar Shabanpour; Seyed Vahid Razavi Termeh; Abolghasem Sadeghi-Niaraki; Soo-Mi Choi; Tamer Abuhmed (Int. J. Appl. Earth Obs. Geoinformation, 2022)

A new method for automatic and accurate coded target recognition in oblique images to improve augmented reality precision. - Mina Karimi; Zana Zakariyaeinejad; Abolghasem Sadeghi-Niaraki; Ali Hosseininaveh Ahmadabadian (Trans. GIS, 2022)

Spatial transition management for improving outdoor cinematic augmented reality experience of the TV show. - Hyerim Park; Maryam Shakeri; Ikbeom Jeon; Jangyoon Kim; Abolghasem Sadeghi-Niaraki; Woontack Woo (Virtual Real., 2022)

Augmented reality-based border management. - Maryam Shakeri; Abolghasem Sadeghi-Niaraki; Soo-Mi Choi (Virtual Real., 2022)

Artificial Intelligence Applications in K-12 Education. - Mostafa Zafari; Jalal Safari Bazargani; Abolghasem Sadeghi-Niaraki; Soo-Mi Choi (IEEE DataPort, 2022)

Geospatial Augmented Reality Tourist System. - Somaiieh Rokhsaritalemi; Beom-Seok Ko; Abolghasem Sadeghi-Niaraki; Soo-Mi Choi (VR Workshops, 2023)

Exploring Emotion Analysis Using Artificial Intelligence, Geospatial Information Systems, and Extended Reality for Urban Services. - Somaiieh Rokhsaritalemi; Abolghasem Sadeghi-Niaraki; Soo-Mi Choi (IEEE Access, 2023)

Internet of Thing (IoT) review of review: Bibliometric overview since its foundation. - Abolghasem Sadeghi-Niaraki (Future Gener. Comput. Syst., 2023)

An approach for measuring spatial similarity among COVID-19 epicenters. - Neda Kaffash-Charandabi; Abolghasem Sadeghi-Niaraki; Soo-Mi Choi; Tamer Abuhmed (Geo spatial Inf. Sci., 2023)

User behavior modeling for AR personalized recommendations in spatial transitions. - Maryam Shakeri; Hyerim Park; Ikbeom Jeon; Abolghasem Sadeghi-Niaraki; Woontack Woo (Virtual Real., 2023)

Emot Act AR: Tailoring Content Through User Emotion and Activity Analysis. - Somaiieh Rokhsaritalemi; Abolghasem Sadeghi-Niaraki; Soo-Mi Choi (VR Workshops, 2024)

Cultural Heritage Information Retrieval: Past, Present, and Future Trends. - Babak Ranjgar; Abolghasem Sadeghi-Niaraki; Maryam Shakeri; Fatema Rahimi; Soo-Mi Choi (IEEE Access, 2024)

Alzheimer's disease diagnosis in the metaverse. - Jalal Safari Bazargani; Nasir Rahim; Abolghasem Sadeghi-Niaraki; Tamer Abuhmed; Houbing Song; Soo-Mi Choi (Comput. Methods Programs Biomed., 2024)

Exploring multi-pollution variability in the urban environment: geospatial AI-driven modeling of air and noise. - Seyed Vahid Razavi Termeh; Abolghasem Sadeghi-Niaraki; Mohammadreza Jelokhani-Niaraki; Soo-Mi Choi (Int. J. Digit. Earth, 2024)

Enhancing flood-prone area mapping: fine-tuning the K-nearest neighbors (KNN) algorithm for spatial modelling. - Seyed Vahid Razavi Termeh; Abolghasem Sadeghi-Niaraki; Saman Razavi; Soo-Mi Choi (Int. J. Digit. Earth, 2024)

Object Placement Across Robotics, Image Composition, and XR: A Mixed Reality Framework Proposal. - Jalal Safari Bazargani; Abolghasem Sadeghi-Niaraki; Soo-Mi Choi (IEEE Access, 2025)

A Survey and Framework for Education in the Metaverse. - Jalal Safari Bazargani; Abolghasem Sadeghi-Niaraki; Soo-Mi Choi (IEEE Access, 2025)

Adaptive Spelling in Immersive Reality: The Impact of Gamified VR and LLMs on Young Learners' English Color Word Acquisition. - Jalal Safari Bazargani; Abolghasem Sadeghi-Niaraki; Xinyu Shi; Soo-Mi Choi (IEEE Access, 2025)

Generative AI Meets Virtual Reality: A Comprehensive Survey on Applications, Challenges, and Future Direction. - Fatema Rahimi; Abolghasem Sadeghi-Niaraki; Soo-Mi Choi (IEEE Access, 2025)

Metaheuristic-driven enhancement of categorical boosting algorithm for flood-prone areas mapping. - Seyed Vahid Razavi Termeh; Ali Pourzangbar; Abolghasem Sadeghi-Niaraki; Mário J. Franca; Soo-Mi Choi (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Cognitive modeling based on geotagged pictures of urban landscapes using mobile electroencephalogram signals and machine learning models. - Farbod Farhangi; Abolghasem Sadeghi-Niaraki; Seyed Vahid Razavi Termeh; Farimah Farhangi; Soo-Mi Choi (Cogn. Syst. Res., 2025)

Human-based metaheuristics and non-parametric learning for groundwater-prone area mapping. - Seyed Vahid Razavi Termeh; Abolghasem Sadeghi-Niaraki; Seyedeh Zeinab Shogrkhodaei; Biswajeet Pradhan; Soo-Mi Choi (Ecol. Informatics, 2025)

Exploring Augmented Reality's Influence on Cognitive Load and Emotional Dynamics Within AAV Training Environments. - Fatema Rahimi; Abolghasem Sadeghi-Niaraki; Houbing Song; Huihui Wang 001; Soo-Mi Choi (IEEE Trans. Learn. Technol., 2025)

Groundbreaking taxonomy of metaverse characteristics. - Abolghasem Sadeghi-Niaraki; Fatema Rahimi; Nur Alya Emanuelle Binti Azlan; Houbing Song; Farman Ali 001; Soo-Mi Choi (Artif. Intell. Rev., 2025)

SkinDWNet: a novel deep learning model for multiclass classification of skin cancers using dermoscopic images. - Ahmad Naeem; Hassaan Malik; Mui-Zzud-Din; Abolghasem Sadeghi-Niaraki; Daesik Jeong; Rizwan Ali Naqvi (Multim. Syst., 2025)

A comprehensive survey of Vision-Language Models: Pretrained models, fine-tuning, prompt engineering, adapters, and benchmark datasets. - Sufyan Danish; Abolghasem Sadeghi-Niaraki; Samee Ullah Khan; Lien Minh Dang; Lilia Tightiz; Hyeonjoon Moon (Inf. Fusion, 2026)