Check computer science papers: citations, claims and retractions

Establishing wireless robust security networks: a guide to IEEE 802.11i

Frankel, S. E., Eydt, B., Owens, L., & Scarfone, K. A. (2007)

Wireless Networks and ProtocolsMobile Ad Hoc Networks

Cited by 68

Integrating Multi-Label Contrastive Learning With Dual Adversarial Graph Neural Networks for Cross-Modal Retrieval

Qian, S., Xue, D., Fang, Q., & Xu, C. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 68

Enhancing AI Systems with Agentic Workflows Patterns in Large Language Model

Singh, A., Ehtesham, A., Kumar, S., & Khoei, T. T. (2024) · 2024 IEEE World AI IoT Congress (AIIoT)

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 68

Current Trends on Deep Learning Models for Brain Tumor Segmentation and Detection – A Review

Somasundaram, S., & Gobinath, R. (2019) · 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon)

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 68

Rolling stylometry

Eder, M. (2016) · Digital Scholarship in the Humanities

Authorship Attribution and ProfilingDigital Humanities and Scholarship

Cited by 68

Data quality challenges in large-scale cyber-physical systems: A systematic review

Alwan, A. A., Ciupala, M. A., Brimicombe, A. J., Ghorashi, S. A., Baravalle, A., & Falcarin, P. (2022) · Information Systems

Data Quality and ManagementMobile Crowdsensing and Crowdsourcing

Cited by 68

An explanation facility for today's expert systems

Wick, M. R., & Slagle, J. R. (1989) · IEEE Expert

Explainable Artificial Intelligence (XAI)AI-based Problem Solving and Planning

Cited by 68

One AI Does Not Fit All: A Cluster Analysis of the Laypeople’s Perception of AI Roles

Kim, T., Molina, M. D., Rheu, M. (., Zhan, E. S., & Peng, W. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIAI in Service Interactions

Cited by 68

Trust, trustworthiness and AI governance

Lahusen, C., Maggetti, M., & Slavkovik, M. (2024) · Scientific Reports

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 68

Medical Professional Enhancement Using Explainable Artificial Intelligence in Fetal Cardiac Ultrasound Screening

Sakai, A., Komatsu, M., Komatsu, R., Matsuoka, R., Yasutomi, S., Dozen, A., Shozu, K., Arakaki, T., Machino, H., Asada, K., et al. (2022) · Biomedicines

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 68

Spatial blockchain-based secure mass screening framework for children with dyslexia

Rahman, M. A., Hassanain, E., Rashid, M. M., Barnes, S. J., & Hossain, M. S. (2018) · IEEE Access

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 68

QoS Provisioning Dynamic Connection-Admission Control for Multimedia Wireless Networks Using a Hopfield Neural Network

Ahn, C. W., & Ramakrishna, R. S. (2004) · IEEE Transactions on Vehicular Technology

Wireless Communication Networks ResearchAdvanced Wireless Network Optimization

Cited by 68

Adoption of Blockchain in Health Care

Gaynor, M., Tuttle-Newhall, J., Parker, J., Patel, A., & Tang, C. (2020) · Journal of Medical Internet Research

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 68

How to Collect Segmentations for Biomedical Images? A Benchmark Evaluating the Performance of Experts, Crowdsourced Non-experts, and Algorithms

Gurari, D., Theriault, D., Sameki, M., Isenberg, B., Pham, T. A., Purwada, A., Solski, P., Walker, M., Zhang, C., Wong, J. Y., et al. (2015) · 2015 IEEE Winter Conference on Applications of Computer Vision

Medical Image Segmentation TechniquesCell Image Analysis Techniques

Cited by 68

Operationalising AI ethics through the agile software development lifecycle: a case study of AI-enabled mobile health applications

Amugongo, L. M., Kriebitz, A., Boch, A., & Lütge, C. (2025) · AI and Ethics

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 68

Federated Tensor Mining for Secure Industrial Internet of Things

Kong, L., Liu, X.-Y., Sheng, H., Zeng, P., & Chen, G. (2020) · IEEE Transactions on Industrial Informatics

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 68

Overview of the TREC 2019 deep learning track

Craswell, N., Mitra, B., Yilmaz, E., Campos, D., & Voorhees, E. M. (2020) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 68

Factuality Enhanced Language Models for Open-Ended Text Generation

Lee, N., Ping, W., Xu, P., Patwary, M., Fung, P., Shoeybi, M., & Catanzaro, B. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 68

Explaining sentiment analysis results on social media texts through visualization

Jain, R., Kumar, A., Nayyar, A., Dewan, K., Garg, R., Raman, S., & Ganguly, S. (2023) · Multimedia Tools and Applications

Explainable Artificial Intelligence (XAI)Sentiment Analysis and Opinion Mining

Cited by 68

Text Segmentation by Cross Segment Attention

Lukasik, M., Dadachev, B., Papineni, K., & Simões, G. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingNatural Language Processing Techniques

Cited by 68

Automated Keyword Filtering in Latent Dirichlet Allocation for Identifying Product Attributes From Online Reviews

Joung, J., & Kim, H. M. (2021) · Journal of Mechanical Design

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 68

Goal Crossing with Mice and Trackballs for People with Motor Impairments

Wobbrock, J. O., & Gajos, K. Z. (2008) · ACM Transactions on Accessible Computing

Interactive and Immersive DisplaysGaze Tracking and Assistive Technology

Cited by 68

e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks

Kayser, M., Camburu, O.-M., Salewski, L., Emde, C., Do, V., Akata, Z., & Lukasiewicz, T. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsExplainable Artificial Intelligence (XAI)

Cited by 68

Building dementia knowledge globally through the Understanding Dementia Massive Open Online Course (MOOC)

Eccleston, C., Doherty, K., Bindoff, A., Robinson, A., Vickers, J., & McInerney, F. (2019) · npj Science of Learning

Online Learning and AnalyticsInnovations in Medical Education

Cited by 68