Check computer science papers: citations, claims and retractions

How Social and Communication Channels Shape and Challenge a Participatory Culture in Software Development

Storey, M.-A., Zagalsky, A., Filho, F. F., Singer, L., & German, D. M. (2017) · IEEE Transactions on Software Engineering

Software Engineering Techniques and PracticesOpen Source Software Innovations

Cited by 221

Robust loop closing over time for pose graph SLAM

Latif, Y., Cadena, C., & Neira, J. (2013) · The International Journal of Robotics Research

Robotics and Sensor-Based Localization3D Surveying and Cultural Heritage

Cited by 221

From transistor to trapped-ion computers for quantum chemistry

Yung, M.-H., Casanova, J., Mezzacapo, A., McClean, J., Lamata, L., Aspuru-Guzik, A., & Solano, E. (2014) · Scientific Reports

Quantum Computing Algorithms and ArchitectureCold Atom Physics and Bose-Einstein Condensates

Cited by 221

Cognitive Radio Techniques Under Practical Imperfections: A Survey

Sharma, S. K., Bogale, T. E., Chatzinotas, S., Ottersten, B., Le, L. B., & Wang, X. (2015) · IEEE Communications Surveys & Tutorials

Cognitive Radio Networks and Spectrum SensingEnergy Harvesting in Wireless Networks

Cited by 221

Reflection Companion: A Conversational System for Engaging Users in Reflection on Physical Activity

Kocielnik, R., Xiao, L., Avrahami, D., & Hsieh, G. (2018) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Innovative Human-Technology InteractionContext-Aware Activity Recognition Systems

Cited by 221

ID-Reveal: Identity-aware DeepFake Video Detection

Cozzolino, D., Rossler, A., Thies, J., Niesner, M., & Verdoliva, L. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 221

Sequential minimal optimization for quantum-classical hybrid algorithms

Nakanishi, K. M., Fujii, K., & Todo, S. (2020) · Physical Review Research

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 221

"These are not my hands!": Effect of Gender on the Perception of Avatar Hands in Virtual Reality

Schwind, V., Knierim, P., Tasci, C., Franczak, P., Haas, N., & Henze, N. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Virtual Reality Applications and ImpactsSocial Robot Interaction and HRI

Cited by 221

ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection

Cozzolino, D., Thies, J., Rössler, A., Riess, C., Nießner, M., & Verdoliva, L. (2018) · arXiv

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 221

Automated Detection and Classification of Type 1 Versus Type 2 Diabetes Using Electronic Health Record Data

Klompas, M., Eggleston, E., McVetta, J., Lazarus, R., Li, L., & Platt, R. (2013) · Diabetes Care

Machine Learning in HealthcareMedical Coding and Health Information

Cited by 220

Posterior cingulate cortex integrates the senses of self-location and body ownership

Guterstam, A., Björnsdotter, M., Gentile, G., & Ehrsson, H. H. (2015) · Current Biology

Virtual Reality Applications and ImpactsMemory and Neural Mechanisms

Cited by 220

Exploring the role of visualization and engagement in computer science education

Naps, T. L., Rößling, G., Almstrum, V., Dann, W., Fleischer, R., Hundhausen, C., Korhonen, A., Malmi, L., McNally, M., Rodger, S., et al. (2002) · Working group reports from ITiCSE on Innovation and technology in computer science education

Teaching and Learning ProgrammingVisual and Cognitive Learning Processes

Cited by 220

Value-Sensitive Algorithm Design: Method, Case Study, and Lessons

Zhu, H., Yu, B., Halfaker, A., & Terveen, L. (2018) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIInformation Systems Theories and Implementation

Cited by 220

The effects of example-based explanations in a machine learning interface

Cai, C. J., Jongejan, J., & Holbrook, J. (2019) · Proceedings of the 24th International Conference on Intelligent User Interfaces

Explainable Artificial Intelligence (XAI)Data Visualization and Analytics

Cited by 220

RoboTHOR: An Open Simulation-to-Real Embodied AI Platform

Deitke, M., Han, W., Herrasti, A., Kembhavi, A., Kolve, E., Mottaghi, R., Salvador, J., Schwenk, D., VanderBilt, E., Wallingford, M., et al. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 220

Detecting spammers and content promoters in online video social networks

Benevenuto, F., Rodrigues, T., Almeida, V., Almeida, J., & Gonçalves, M. (2009) · Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 220

An Information Systems Security Risk Assessment Model Under the Dempster-Shafer Theory of Belief Functions

SUN, L., SRIVASTAVA, R. P., & MOCK, T. J. (2006) · Journal of Management Information Systems

Information and Cyber SecurityMulti-Criteria Decision Making

Cited by 220

Implicit identity leakage: The stumbling block to improving deepfake detection generalization

Dong, S., Wang, J., Ji, R., Liang, J., Fan, H., & Ge, Z. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionBiometric Identification and Security

Cited by 220

A ChatBot for Learning Chinese: Learning Achievement and Technology Acceptance

Chen, H.-L., Vicki Widarso, G., & Sutrisno, H. (2020) · Journal of Educational Computing Research

Intelligent Tutoring Systems and Adaptive LearningMobile Learning in Education

Cited by 220

Parameter-Efficient Transfer Learning with Diff Pruning

Guo, D., Rush, A., & Kim, Y. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 220

Recognition of dietary activity events using on-body sensors

Amft, O., & Tröster, G. (2008) · Artificial Intelligence in Medicine

Context-Aware Activity Recognition SystemsWireless Body Area Networks

Cited by 220

Interpretable classification models for recidivism prediction

Zeng, J., Ustun, B., & Rudin, C. (2017) · Journal of the Royal Statistical Society Series A: Statistics in Society

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 220

Broadening artificial intelligence education in K-12: where to start?

Wong, G. K. W., Ma, X., Dillenbourg, P., & Huan, J. (2020) · ACM Inroads

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 220

Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations

Chen, V., Liao, Q. V., Wortman Vaughan, J., & Bansal, G. (2023) · Proceedings of the ACM on Human-Computer Interaction

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 220