Check computer science papers: citations, claims and retractions

ExplainaBoard: An Explainable Leaderboard for NLP

Liu, P., Fu, J., Xiao, Y., Yuan, W., Chang, S., Dai, J., Liu, Y., Ye, Z., & Neubig, G. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 35

Human-in-the-Loop Imitation Learning using Remote Teleoperation

Mandlekar, A., Xu, D., Martín-Martín, R., Zhu, Y., Fei-Fei, L., & Savarese, S. (2020) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 35

Poetry in motion: appropriation of the world of apps

Bødker, S., & Christiansen, E. (2012) · Proceedings of the 30th European Conference on Cognitive Ergonomics

Mobile Learning in EducationInnovative Human-Technology Interaction

Cited by 35

The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT

Heller, N., Isensee, F., Trofimova, D., Tejpaul, R., Zhao, Z., Chen, H., Wang, L., Golts, A., Khapun, D., Shats, D., et al. (2023) · arXiv

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 35

Poor miners and empty e-wallets: Latin American experiences with cryptocurrencies in crisis

Rosales, A., van Roekel, E., Howson, P., & Kanters, C. (2024) · Human Geography

Blockchain Technology Applications and SecurityExtractivism and Socioeconomic Issues

Cited by 35

Smart Objects and Replicas: A Survey of Tangible and Embodied Interactions in Museums and Cultural Heritage Sites

Duranti, D., Spallazzo, D., & Petrelli, D. (2024) · Journal on Computing and Cultural Heritage

Interactive and Immersive DisplaysMuseums and Cultural Heritage

Cited by 35

Multi-agent Reinforcement Learning in Sequential Social Dilemmas

Leibo, J. Z., Zambaldi, V., Lanctot, M., Marecki, J., & Graepel, T. (2017) · International Joint Conference on Autonomous Agents and Multiagent Systems

Reinforcement Learning in RoboticsEvolutionary Game Theory and Cooperation

Cited by 35

Application of Artificial Neural Networks Techniques to Computer Worm Detection

Stopel, D., Boger, Z., Moskovitch, R., Shahar, Y., & Elovici, Y. (2006) · The 2006 IEEE International Joint Conference on Neural Network Proceedings

Network Security and Intrusion DetectionAdvanced Malware Detection Techniques

Cited by 35

Tractor: traffic-aware and power-efficient virtual machine placement in edge-cloud data centers using artificial bee colony optimization

Nabavi, S. S., Gill, S. S., Xu, M., Masdari, M., & Garraghan, P. (2022) · International Journal of Communication Systems

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 35

What rules? Framing the governance of artificial agency

Gahnberg, C. (2021) · Policy and Society

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 35

Uncovering the Hidden Curriculum in Generative AI: A Reflective Technology Audit for Teacher Educators

Warr, M., & Heath, M. K. (2025) · Journal of Teacher Education

Ethics and Social Impacts of AIArtificial Intelligence in Education

Cited by 35

WTL-CNN: a news text classification method of convolutional neural network based on weighted word embedding

Zhao, W., Zhu, L., Wang, M., Zhang, X., & Zhang, J. (2022) · Connection Science

Text and Document Classification TechnologiesTopic Modeling

Cited by 35

SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents

Li, D., Tan, Z., Qian, P., Li, Y., Chaudhary, K. S., Hu, L., & Shen, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 35

How Novice Programmers Use and Experience ChatGPT when Solving Programming Exercises in an Introductory Course

Scholl, A., & Kiesler, N. (2024) · 2024 IEEE Frontiers in Education Conference (FIE)

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 35

The widespread adoption of large language model-assisted writing across society

Liang, W., Zhang, Y., Codreanu, M., Wang, J., Cao, H., & Zou, J. (2025) · Patterns

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 35

HTLM: Hyper-Text Pre-Training and Prompting of Language Models

Aghajanyan, A., Okhonko, D., Lewis, M., Joshi, M., Xu, H., Ghosh, G., & Zettlemoyer, L. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 35

Personalized Feedback in Massive Open Online Courses: Harnessing the Power of LangChain and OpenAI API

Morales-Chan, M., Amado-Salvatierra, H. R., Medina, J. A., Barchino, R., Hernández-Rizzardini, R., & Teixeira, A. M. (2024) · Electronics

Online Learning and AnalyticsArtificial Intelligence in Education

Cited by 35

A Quantum Image Encryption Method Based on DNACNot

Zhou, S. (2020) · IEEE Access

Chaos-based Image/Signal EncryptionQuantum Information and Cryptography

Cited by 35

Survey of Personalized Learning Software Systems: A Taxonomy of Environments, Learning Content, and User Models

Ismail, H., Hussein, N., Harous, S., & Khalil, A. (2023) · Education Sciences

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 35

Exploring students’ expectations of learning analytics: A person-centered approach

Viberg, O., Engström, L., Saqr, M., & Hrastinski, S. (2022) · Education and Information Technologies

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 35

LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models

Zhang, J., Guo, J., Sun, S., Lou, J.-G., & Zhang, D. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisHandwritten Text Recognition Techniques

Cited by 35

Hamiltonian gadgets with reduced resource requirements

Cao, Y., Babbush, R., Biamonte, J., & Kais, S. (2015) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 35

Comparison of QAOA with Quantum and Simulated Annealing

Streif, M., & Leib, M. (2019) · arXiv

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 35

Grounded Language Learning Fast and Slow

Hill, F., Tieleman, O., von Glehn, T., Wong, N., Merzic, H., & Clark, S. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 35