Check computer science papers: citations, claims and retractions

IEEE 802.11ax: Challenges and Requirements for Future High Efficiency WiFi

Afaqui, M. S., Garcia-Villegas, E., & Lopez-Aguilera, E. (2017) · IEEE Wireless Communications

Wireless Networks and ProtocolsAdvanced Wireless Network Optimization

Cited by 199

An artificial agent for robust image registration

Liao, R., Miao, S., De Tournemire, P., Grbic, S., Kamen, A., Mansi, T., & Comaniciu, D. (2017) · Proceedings of the AAAI Conference on Artificial Intelligence

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 199

An Equilibrium Valuation of Bitcoin and Decentralized Network Assets

Pagnotta, E., & Buraschi, A. (2018) · SSRN Electronic Journal

Blockchain Technology Applications and SecurityEconomic theories and models

Cited by 199

Internet of Things Meet Internet of Threats: New Concern Cyber Security Issues of Critical Cyber Infrastructure

Djenna, A., Harous, S., & Saidouni, D. E. (2021) · Applied Sciences

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 199

StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

Skorokhodov, I., Tulyakov, S., & Elhoseiny, M. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 199

Virtual reality therapy for anxiety disorders: Advances in evaluation and treatment.

Wiederhold, B. K., & Wiederhold, M. D. (2005) · American Psychological Association eBooks

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 199

Habits of programming in scratch

Meerbaum-Salant, O., Armoni, M., & Ben-Ari, M. (2011) · Proceedings of the 16th annual joint conference on Innovation and technology in computer science education

Teaching and Learning ProgrammingSpreadsheets and End-User Computing

Cited by 199

Like bees around the hive: a comparative study of a mobile augmented reality map

Morrison, A., Oulasvirta, A., Peltonen, P., Lemmela, S., Jacucci, G., Reitmayr, G., Näsänen, J., & Juustila, A. (2009) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Augmented Reality ApplicationsInteractive and Immersive Displays

Cited by 199

Data scientists in software teams: State of the art and challenges

Kim, M., Zimmermann, T., DeLine, R., & Begel, A. (2018) · IEEE Transactions on Software Engineering

Software Engineering Techniques and PracticesBig Data Technologies and Applications

Cited by 199

Family story play: reading with young children (and elmo) over a distance

Raffle, H., Ballagas, R., Revelle, G., Horii, H., Follmer, S., Go, J., Reardon, E., Mori, K., Kaye, J., & Spasojevic, M. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionTechnology Use by Older Adults

Cited by 199

Unsupervised Contrastive Cross-modal Hashing

Hu, P., Zhu, H., Lin, J., Peng, D., Zhao, Y.-P., & Peng, X. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 199

Radiology report generation with a learned knowledge base and multi-modal alignment

Yang, S., Wu, X., Ge, S., Zheng, Z., Zhou, S. K., & Xiao, L. (2023) · Medical Image Analysis

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 199

A class of frequency-domain adaptive approaches to blind multichannel identification

Huang, Y., & Benesty, J. (2003) · IEEE Transactions on Signal Processing

Advanced Adaptive Filtering TechniquesSpeech and Audio Processing

Cited by 199

Compiler Error Messages Considered Unhelpful: The Landscape of Text-Based Programming Error Message Research

Becker, B. A., Denny, P., Pettit, R., Bouchard, D., Bouvier, D. J., Harrington, B., Kamil, A., Karkare, A., McDonald, C., Osera, P.-M., et al. (2019) · Proceedings of the Working Group Reports on Innovation and Technology in Computer Science Education

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 199

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

Leng, S., Zhang, H., Chen, G., Li, X., Lu, S., Miao, C., & Bing, L. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 199

Learning to Program: Gender Differences and Interactive Effects of Students' Motivation, Goals, and Self-Efficacy on Performance

Lishinski, A., Yadav, A., Good, J., & Enbody, R. (2016) · Proceedings of the 2016 ACM Conference on International Computing Education Research

Teaching and Learning ProgrammingInnovative Teaching and Learning Methods

Cited by 199

Variational quantum state diagonalization

LaRose, R., Tikku, A., O’Neel-Judy, É., Cincio, L., & Coles, P. J. (2019) · npj Quantum Information

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 199

AdderNet: Do We Really Need Multiplications in Deep Learning?

Chen, H., Wang, Y., Xu, C., Shi, B., Xu, C., Tian, Q., & Xu, C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 199

Controllable Video Captioning With POS Sequence Guidance Based on Gated Fusion Network

Wang, B., Ma, L., Zhang, W., Jiang, W., Wang, J., & Liu, W. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 199

Healthcare Internet of Things (H-IoT): Current Trends, Future Prospects, Applications, Challenges, and Security Issues

Kumar, M., Kumar, A., Verma, S., Bhattacharya, P., Ghimire, D., Kim, S.-H., & Hosen, A. S. M. S. (2023) · Electronics

Internet of Things and AIIoT and Edge/Fog Computing

Cited by 199

Hierarchical optimization on manifolds for online 2D and 3D mapping

Grisetti, G., Kummerle, R., Stachniss, C., Frese, U., & Hertzberg, C. (2010) · 2010 IEEE International Conference on Robotics and Automation

Robotics and Sensor-Based LocalizationTarget Tracking and Data Fusion in Sensor Networks

Cited by 199

Auditing Data Provenance in Text-Generation Models

Song, C., & Shmatikov, V. (2018) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 199

The Impact of Artificial Intelligence on Firm Performance: An Application of the Resource-Based View to e-Commerce Firms

Chen, D., Esperança, J. P., & Wang, S. (2022) · Frontiers in Psychology

Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society

Cited by 198

DMCP: Differentiable Markov Channel Pruning for Neural Networks

Guo, S., Wang, Y., Li, Q., & Yan, J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 198