Check computer science papers: citations, claims and retractions

GPTs or Grim Position Threats? The Potential Impacts of Large Language Models on Non-Managerial Jobs and Certifications in Cybersecurity

Nowrozy, R. (2024) · Informatics

Ethics and Social Impacts of AIInformation and Cyber Security

Cited by 9

Image Security Retrieval Based on Chaotic Algorithm and Deep Learning

Zhang, Q., Yan, Y., Lin, Y., & Li, Y. (2022) · IEEE Access

Chaos-based Image/Signal EncryptionImage Retrieval and Classification Techniques

Cited by 9

Spoofing and countermeasures for speaker verification: A review

Anjum, Z. K., & Swamy, R. K. (2017) · 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 9

Lessons from the Trenches on Reproducible Evaluation of Language Models

Biderman, S., Schoelkopf, H., Sutawika, L., Gao, L., Tow, J., Abbasi, B., Aji, A. F., Ammanamanchi, P. S., Black, S., Clive, J., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 9

Pitch estimation using a modulation model of speech

Gopalan, K. (2002) · WCC 2000 - ICSP 2000. 2000 5th International Conference on Signal Processing Proceedings. 16th World Computer Congress 2000

Speech and Audio ProcessingSpeech Recognition and Synthesis

Cited by 9

AI inventorship: the right decision?

Thaldar, D., & Naidoo, M. (2021) · South African Journal of Science

Law, AI, and Intellectual PropertyDigitalization, Law, and Regulation

Cited by 9

Assessing Test-Time Variability for Interactive 3D Medical Image Segmentation with Diverse Point Prompts

Li, H., Liu, H., Hu, D., Wang, J., & Oguz, I. (2024) · 2024 IEEE International Symposium on Biomedical Imaging (ISBI)

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 9

Human Motion Control of Quadrupedal Robots using Deep Reinforcement Learning

Kim, S., Sorokin, M., Lee, J., & Ha, S. (2022) · Robotics: Science and Systems XVIII

Human Motion and AnimationReinforcement Learning in Robotics

Cited by 9

Cyberbullying Detection using Recursive Neural Network through Offline Repository

Chandra, N., Khatri, S. K., & Som, S. (2018) · 2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)

Hate Speech and Cyberbullying DetectionSpam and Phishing Detection

Cited by 9

Intelligent Multi-Lingual Cyber-Hate Detection in Online Social Networks: Taxonomy, Approaches, Datasets, and Open Challenges

Gamal, D., Alfonse, M., Jiménez-Zafra, S. M., & Aref, M. (2023) · Big Data and Cognitive Computing

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 9

The utilization of perspective quantum technologies in biomedicine

Tarasov, P. A., Isaev, E. A., Grigoriev, A. A., & Morgunov, A. F. (2020) · Journal of Physics: Conference Series

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 9

The Virtual Driving Instructor: Multi-Agent System Collaborating via Knowledge Graph for Scalable Driver Education

Rehm, J., Reshodko, I., Børresen, S. Z., & Gundersen, O. E. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Intelligent Tutoring Systems and Adaptive LearningAutonomous Vehicle Technology and Safety

Cited by 9

ChatGPT GameJam: Unleashing the power of Large Language Models for Game Jams

Grow, A. M., & Khosmood, F. (2023) · Proceedings of the 7th International Conference on Game Jams, Hackathons and Game Creation Events

Artificial Intelligence in GamesDigital Games and Media

Cited by 9

Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning

Wang, L., & Fang, Y. (2017) · arXiv

3D Shape Modeling and AnalysisGenerative Adversarial Networks and Image Synthesis

Cited by 9

AI for collective intelligence

Riedl, C., & De Cremer, D. (2025) · Collective Intelligence

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 9

Mapping the Design Space of Interactions in Human-AI Text Co-creation Tasks

Ding, Z., & Chan, J. (2023) · arXiv

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 9

An open source pipeline for quantitative immunohistochemistry image analysis of inflammatory skin disease using artificial intelligence

Ding, Y., Dhawan, G., Jones, C., Ness, T., Nichols, E., Krasnogor, N., & Reynolds, N. J. (2023) · Journal of the European Academy of Dermatology and Venereology

AI in cancer detectionCell Image Analysis Techniques

Cited by 9

Google’s algorithm undergoes enormous shifts to prioritise content focused on expertise, authoritativeness and trustworthiness

Ray, L. (2019) · Journal of Digital & Social Media Marketing

Web visibility and informetricsInformation Retrieval and Search Behavior

Cited by 9

DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents

Jansen, P., Côté, M.-A., Khot, T., Bransom, E., Mishra, B. D., Majumder, B. P., Tafjord, O., & Clark, P. (2024) · arXiv

Multi-Agent Systems and NegotiationScientific Computing and Data Management

Cited by 9

Improving Facial Emotion Recognition Systems Using Gradient and Laplacian Images

Pandey, R. K., Karmakar, S., Ramakrishnan, A. G., & Saha, N. (2019) · arXiv

Emotion and Mood RecognitionFace recognition and analysis

Cited by 9

Artificial intelligence-based group decision making to improve knowledge transfer: the case of distance learning in higher education

Saad, I., & Tounkara, T. (2023) · Journal of Decision Systems

Rough Sets and Fuzzy LogicOnline Learning and Analytics

Cited by 9

A systematic review on insider threat detection using natural language processing

Kundiya, K., & Haribhakta, Y. (2025) · International Journal of Information Security

Information and Cyber SecuritySpam and Phishing Detection

Cited by 9

RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text

Zhou, W., Jiang, Y. E., Cui, P., Wang, T., Xiao, Z., Hou, Y., Cotterell, R., & Sachan, M. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 9

Resource-Efficient Sensor Data Management for Autonomous Systems Using Deep Reinforcement Learning

Jeong, S., Yoo, G., Yoo, M., Yeom, I., & Woo, H. (2019) · Sensors

Reinforcement Learning in RoboticsIoT and Edge/Fog Computing

Cited by 9