Most cited decision sciences papers
- Verified
Automatic literature screening using the PAJO deep-learning model for clinical practice guidelines
Lin, Y., Li, J., Xiao, H., Zheng, L., Xiao, Y., Song, H., Fan, J., Xiao, D., Ai, D., Fu, T., et al. (2023) · BMC Medical Informatics and Decision Making
Meta-analysis and systematic reviewsInformation Retrieval and Search Behavior
Cited by 4
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Diffusion of Innovations for Optimizing the Information Technology Implementation in Higher Education
Ramdhani, M. A., Priatna, T., Maylawati, D. S., Sugilar, H., Mahmud, M., & Gerhana, Y. A. (2021) · 2021 9th International Conference on Cyber and IT Service Management (CITSM)
Technology Adoption and User BehaviourInnovation Diffusion and Forecasting
Cited by 4
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From Prompts to Constructs: A Dual-Validity Framework for Large Language Model Research in Psychology
Lin, Z. (2026) · Annual Review of Psychology
Psychometric Methodologies and TestingComputational and Text Analysis Methods
Cited by 4
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Examining the Effects of Habit and Self-Efficacy on Users’ Acceptance of a Map-Based Online Learning System via an Extended TAM
Xu, W., Zhu, K., Zhou, D., Wang, C., & Wen, C. (2025) · Education Sciences
Technology Adoption and User BehaviourOnline and Blended Learning
Cited by 4
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Predictive Bias in Work and Educational Settings
Kuncel, N. R., & Klieger, D. M. (2012) · The Oxford Handbook of Personnel Assessment and Selection
Psychometric Methodologies and TestingMedical Education and Admissions
Cited by 4
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Computing and Climate
Faghmous, J. H., Kumar, V., & Shekhar, S. (2015) · Computing in Science & Engineering
Scientific Computing and Data ManagementEnergy Efficiency in Computing
Cited by 4
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When AI Meets Finance (StockAgent): Large Language Model- based Stock Trading in Simulated Real-world Environments
Zhang, C., Liu, X., Jin, M., Zhang, Z., Li, L., Wang, Z., Hua, W., Shu, D., Zhu, S., Jin, X., et al. (2024) · Unpublished
Stock Market Forecasting MethodsFinancial Markets and Investment Strategies
Cited by 4
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Mapping education 4.0 research trends: a bibliometrics analysis on African publications
Gudyanga, R. (2023) · International Journal of Research in Business and Social Science (2147- 4478)
scientometrics and bibliometrics researchAfrican Education and Politics
Cited by 4
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Erratum to: Methods and processes for development of a CONSORT extension for reporting pilot randomized controlled trials
Thabane, L., Hopewell, S., Lancaster, G. A., Bond, C. M., Coleman, C. L., Campbell, M. J., & Eldridge, S. M. (2016) · Pilot and Feasibility Studies
Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials
Cited by 4
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Rethinking Alternative Education Accountability Indicators: A Multilevel and Contextual Perspective
Newton, X. A., Lohmeier, J. H., Thompson, S. R., Oh, B., Dmello, J. R., & Trainor, A. (2022) · Performance Improvement Quarterly
Educational Assessment and ImprovementSchool Choice and Performance
Cited by 4
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Tracking Firm Use of AI in Real Time: A Snapshot from the Business Trends and Outlook Survey
Bonney, K., Breaux, C., Buffington, C., Dinlersoz, E., Foster, L., Goldschlag, N., Haltiwanger, J. C., Kroff, Z., & Savage, K. (2024) · SSRN Electronic Journal
Impact of AI and Big Data on Business and SocietyArtificial Intelligence Applications
Cited by 4
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A Review on Prediction of Stock Market using Various Methods in the Field of Data Mining
Shobana, T., & Umamakeswari, A. (2016) · Indian Journal of Science and Technology
Stock Market Forecasting MethodsForecasting Techniques and Applications
Cited by 4
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Enhancing multi-criteria decision analysis with AI: Integrating analytic hierarchy process and GPT-4 for automated decision support
Svoboda, I., & Lande, D. (2024) · arXiv
Multi-Criteria Decision MakingDecision Support System Applications
Cited by 4
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Large language models for peer review in biotechnology
Li, W., Zhao, R., Sun, P.-T., Lee, J., Lu, O., Yuan, S., Sureshkumar, P., Chen, Y., Xiao, Z., & Tang, Y. J. (2026) · New Biotechnology
Academic Publishing and Open AccessAcademic Writing and Publishing
Cited by 4
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Reporting of flow diagrams in randomised controlled trials published in periodontology and implantology: a survey
Meyer, H.-G. J., Pandis, N., Seehra, J., & Faggion, C. M. (2023) · BMC Medical Research Methodology
Meta-analysis and systematic reviewsClinical practice guidelines implementation
Cited by 4
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An Automated Employee Timetabling System for Small Businesses
Hoshino, R., Slobodin, A., & Bernoudy, W. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence
Scheduling and Timetabling SolutionsHealthcare Operations and Scheduling Optimization
Cited by 4
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Cognitive droughts
Lichand, G., & Mani, A. (2020) · University of Zurich
Decision-Making and Behavioral EconomicsAgricultural risk and resilience
Cited by 4
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Can small institutes address some problems facing biomedical researchers?
Sheetz, M. P. (2014) · Molecular Biology of the Cell
Research, Science, and AcademiaInterdisciplinary Research and Collaboration
Cited by 4
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Research on Ginger Price Prediction Model Based on Deep Learning
Li, F., Meng, X., Zhu, K., Yan, J., Liu, L., & Liu, P. (2025) · Agriculture
Stock Market Forecasting MethodsSmart Agriculture and AI
Cited by 4
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Weighting schemes and incomplete data: A generalized Bayesian framework for chance-corrected interrater agreement.
van Oest, R., & Girard, J. M. (2021) · Psychological Methods
Reliability and Agreement in MeasurementPsychometric Methodologies and Testing
Cited by 4
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CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark
Siegel, Z. S., Kapoor, S., Nadgir, N., Stroebl, B., & Narayanan, A. (2024) · arXiv
Scientific Computing and Data ManagementArtificial Intelligence Applications
Cited by 4
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Exploring ChatGPT’s role in EFL learning through the technology acceptance model: Perspectives from Saudi students
Alsaedi, N. S. (2025) · Contemporary Educational Technology
Technology Adoption and User BehaviourArtificial Intelligence in Education
Cited by 4
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QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model
Wang, S., Yuan, H., Ni, L. M., & Guo, J. (2024) · arXiv
Stock Market Forecasting MethodsFinancial Markets and Investment Strategies
Cited by 4
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Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction
Ding, Y., Jia, S., Ma, T., Mao, B., Zhou, X., Li, L., & Han, D. (2023) · arXiv
Stock Market Forecasting MethodsFinancial Markets and Investment Strategies
Cited by 4
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