Most cited papers
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Massively parallel digital transcriptional profiling of single cells
Zheng, G. X. Y., Terry, J. M., Belgrader, P., Ryvkin, P., Bent, Z. W., Wilson, R., Ziraldo, S. B., Wheeler, T. D., McDermott, G. P., Zhu, J., et al. (2017) · Nature Communications
Single-cell and spatial transcriptomicsInnovative Microfluidic and Catalytic Techniques Innovation
Cited by 7,353
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Conflict monitoring and cognitive control
Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001) · Psychological Review
Neural and Behavioral Psychology StudiesNeurobiology of Language and Bilingualism
Cited by 7,351
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Dual Attention Network for Scene Segmentation
Fu, J., Liu, J., Tian, H., Li, Y., Bao, Y., Fang, Z., & Lu, H. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 7,351
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Bootstrap Methods and their Application
Davison, A. C., & Hinkley, D. V. (1997) · Cambridge University Press eBooks
Statistical Methods and InferenceMarkov Chains and Monte Carlo Methods
Cited by 7,350
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The neural basis of drug craving: An incentive-sensitization theory of addiction
Robinson, T. (1993) · Brain Research Reviews
Neurotransmitter Receptor Influence on BehaviorSubstance Abuse Treatment and Outcomes
Cited by 7,346
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Affect and Cognition Based Trust as Foundations for Interpersonal Cooperation in Organizations
McAllister, D. J. (1995) · Academy of Management Journal
Job Satisfaction and Organizational BehaviorSocial Power and Status Dynamics
Cited by 7,346
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ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ma, N., Zhang, X., Zheng, H.-T., & Sun, J. (2018) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 7,344
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The cosmological constant problem
Weinberg, S. (1989) · Reviews of Modern Physics
Cosmology and Gravitation TheoriesNoncommutative and Quantum Gravity Theories
Cited by 7,341
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Funds of knowledge for teaching: Using a qualitative approach to connect homes and classrooms
Moll, L. C., Amanti, C., Neff, D., & Gonzalez, N. (1992) · Theory Into Practice
Parental Involvement in EducationIndigenous and Place-Based Education
Cited by 7,339
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Controlled and automatic human information processing: II. Perceptual learning, automatic attending, and a general theory
Shiffrin, R. M., & Schneider, W. (1977) · Psychological Review
Neural and Behavioral Psychology StudiesVisual Attention and Saliency Detection
Cited by 7,335
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Does Active Learning Work? A Review of the Research
Prince, M. (2004) · Journal of Engineering Education
Innovative Teaching MethodsProblem and Project Based Learning
Cited by 7,334
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Heart Disease and Stroke Statistics—2012 Update: A Report From the American Heart Association
Writing Group Members, Roger, V. L., Go, A. S., Lloyd-Jones, D. M., Benjamin, E. J., Berry, J. D., Borden, W. B., Bravata, D. M., Dai, S., Ford, E. S., et al. (2012) · Circulation
Cardiovascular Health and Risk FactorsHealthcare Systems and Public Health
Cited by 7,333
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A Reliability Coefficient for Maximum Likelihood Factor Analysis
Tucker, L. R., & Lewis, C. (1973) · Psychometrika
Psychometric Methodologies and TestingReliability and Agreement in Measurement
Cited by 7,330
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Event-related EEG/MEG synchronization and desynchronization: basic principles
Pfurtscheller, G., & Lopes da Silva, F. H. (1999) · Clinical Neurophysiology
Neural dynamics and brain functionEEG and Brain-Computer Interfaces
Cited by 7,328
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On the use of windows for harmonic analysis with the discrete Fourier transform
Harris, F. J. (1978) · Proceedings of the IEEE
Advanced Electrical Measurement TechniquesDigital Filter Design and Implementation
Cited by 7,326
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ChatGPT for good? On opportunities and challenges of large language models for education
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · Learning and Individual Differences
Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education
Cited by 7,326
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Molecular Mechanisms of Stress-Responsive Changes in Collagen and Elastin Networks in Skin
Aziz, J., Shezali, H., Radzi, Z., Yahya, N. A., Abu Kassim, N. H., Czernuszka, J., & Rahman, M. T. (2016) · Skin Pharmacology and Physiology
Skin Protection and AgingCollagen: Extraction and Characterization
Cited by 7,323
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Predicting effective microRNA target sites in mammalian mRNAs
Agarwal, V., Bell, G. W., Nam, J.-W., & Bartel, D. P. (2015) · eLife
MicroRNA in disease regulationRNA Research and Splicing
Cited by 7,318
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The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
Trapnell, C., Cacchiarelli, D., Grimsby, J., Pokharel, P., Li, S., Morse, M., Lennon, N. J., Livak, K. J., Mikkelsen, T. S., & Rinn, J. L. (2014) · Nature Biotechnology
Single-cell and spatial transcriptomicsGene Regulatory Network Analysis
Cited by 7,314
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seaborn: statistical data visualization
Waskom, M. (2021) · Journal of Open Source Software
Computational Physics and Python ApplicationsData Visualization and Analytics
Cited by 7,310
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Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS scales
Carver, C. S., & White, T. L. (1994) · Journal of Personality and Social Psychology
Personality Traits and PsychologyNeurotransmitter Receptor Influence on Behavior
Cited by 7,306
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A dynamic subgrid–scale eddy viscosity model
Germano, M., Piomelli, U., Moin, P., & Cabot, W. H. (1991) · Physics of Fluids A: Fluid Dynamics
Fluid Dynamics and Turbulent FlowsComputational Fluid Dynamics and Aerodynamics
Cited by 7,305
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The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology
Functional Brain Connectivity StudiesMotor Control and Adaptation
Cited by 7,304
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Trastuzumab in combination with chemotherapy versus chemotherapy alone for treatment of HER2-positive advanced gastric or gastro-oesophageal junction cancer (ToGA): a phase 3, open-label, randomised controlled trial
Bang, Y.-J., Van Cutsem, E., Feyereislova, A., Chung, H. C., Shen, L., Sawaki, A., Lordick, F., Ohtsu, A., Omuro, Y., Satoh, T., et al. (2010) · The Lancet
Gastric Cancer Management and OutcomesHER2/EGFR in Cancer Research
Cited by 7,302
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