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Identification of False Data Injection Attacks With Considering the Impact of Wind Generation and Topology Reconfigurations

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Comparing Events Coverage in Online News and Social Media: The Case of Climate Change

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Nondestructive Evaluation of Concrete Bridge Decks with Automated Acoustic Scanning System and Ground Penetrating Radar

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Power to the People: The Hidden Link Between Support for Direct Democracy and Belief in Conspiracy Theories

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From morphology to biochemical state – intravital multiphoton fluorescence lifetime imaging of inflamed human skin

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A Risk Prediction Model for Type 2 Diabetes Based on Weighted Feature Selection of Random Forest and XGBoost Ensemble Classifier

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A Fast Protection of Multi-Terminal HVDC System Based on Transient Signal Detection

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Contemporary evolution of resistance at the major insecticide target site gene Ace‐1 by mutation and copy number variation in the malaria mosquito Anopheles gambiae

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Measuring motion-to-photon latency for sensorimotor experiments with virtual reality systems

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Automated detection of atrial fibrillation using R-R intervals and multivariate-based classification

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Nicotine deprivation increases pain intensity, neurogenic inflammation, and mechanical hyperalgesia among daily tobacco smokers.

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OMI air-quality monitoring over the Middle East

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Type 2 diabetes is associated with loss of HDL endothelium protective functions

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Dust emission from crusted surfaces: Insights from field measurements and modelling

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Influence of local geoid variation on water surface elevation estimates derived from multi-mission altimetry for Lake Namco

Jiang, L., Andersen, O. B., Nielsen, K., Zhang, G., & Bauer‐Gottwein, P. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.11.004 · Cited by 71

Recall length and measurement error in agricultural surveys

Wollburg, P. R., Tiberti, M., & Zezza, A. (2020) · Food Policy · doi:10.1016/j.foodpol.2020.102003 · Cited by 71

The "Beatrix" Resurrections: Robust Backdoor Detection via Gram Matrices

Ma, W., Wang, D., Sun, R., Xue, M., Wen, S., & Xiang, Y. (2023) · Network and Distributed System Security Symposium · doi:10.14722/ndss.2023.23069 · Cited by 95

THE NANOGRAV NINE-YEAR DATA SET: ASTROMETRIC MEASUREMENTS OF 37 MILLISECOND PULSARS

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Reliability Analysis of LandScan Gridded Population Data. The Case Study of Poland

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Semantic Geometric Modelling of Unstructured Indoor Point Cloud

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An optimised tissue disaggregation and data processing pipeline for characterising fibroblast phenotypes using single-cell RNA sequencing

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Newborn screening for mucopolysaccharidoses: a pilot study of measurement of glycosaminoglycans by tandem mass spectrometry

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Advanced Neuropsychological Diagnostics Infrastructure (ANDI): A Normative Database Created from Control Datasets

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Effects of individual toxic behavior on team performance in League of Legends

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Automated reading passage generation with OpenAI's large language model

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Organic versus conventional citrus. Impact assessment and variability analysis in the Comunitat Valenciana (Spain)

Ribal, J., Ramírez-Sanz, C., Estruch, V., Clemente, G., & Sanjuán, N. (2016) · The International Journal of Life Cycle Assessment · doi:10.1007/s11367-016-1048-2 · Cited by 69

Up speeds you down. Awe-evoking monumental buildings trigger behavioral and perceived freezing

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Neural Differences between Covert and Overt Attention Studied using EEG with Simultaneous Remote Eye Tracking

Kulke, L., Atkinson, J., & Braddick, O. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00592 · Cited by 69

Temperature Variability at Local Scale in the Bordeaux Area. Relations With Environmental Factors and Impact on Vine Phenology

de Rességuier, L., Mary, S., Roux, R. L., Petitjean, T., Quénol, H., & van Leeuwen, C. (2020) · Frontiers in Plant Science · doi:10.3389/fpls.2020.00515 · Cited by 81

Organic farming and greenhouse gas emissions: A longitudinal U.S. state-level study

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Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks

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Fully automated peak-picking method for an autonomous stay-cable monitoring system in cable-stayed bridges

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Video-based reflection in teacher education: Comparing virtual reality and real classroom videos

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Construction of Minirhizotron Facilities for Investigating Root Zone Processes

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Studying the urgent updates of popular games on the Steam platform

Lin, D., Bezemer, C., & Hassan, A. E. (2016) · Empirical Software Engineering · doi:10.1007/s10664-016-9480-2 · Cited by 68

NeuronInspect: Detecting Backdoors in Neural Networks via Output ExplanationsPreprint

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Tail, Tusk, and Trunk: What Different Metrics Reveal About Racial Disproportionality in School Discipline

Girvan, E. J., McIntosh, K., & Smolkowski, K. (2019) · Educational Psychologist · doi:10.1080/00461520.2018.1537125 · Cited by 77

A framework to estimate cognitive load using physiological data

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Results of the WMT20 Metrics Shared Task

Mathur, N., Wei, J. T.-Z., Freitag, M., Ma, Q., & Bojar, O. (2020) · Conference on Machine Translation (WMT) · doi:10.18653/v1/2020.wmt-1.77 · Cited by 67

Dissociable Roles of Pallidal Neuron Subtypes in Regulating Motor Patterns

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Deciphering the multiple effects of climate warming on the temporal shift of leaf unfolding

Zhang, H., Chuine, I., Regnier, P. A. G., Ciais, P., & Yuan, W. (2022) · Nature Climate Change · doi:10.1038/s41558-021-01261-w · Cited by 67

Sirtuin 3 rescues neurons through the stabilisation of mitochondrial biogenetics in the virally-expressing mutant α-synuclein rat model of parkinsonism

Gleave, J. A., Arathoon, L. R., Trinh, D., Lizal, K. E., Giguère, N., Barber, J., Najarali, Z., Khan, M. H., Thiele, S. L., Semmen, M. S., et al. (2017) · Neurobiology of Disease · doi:10.1016/j.nbd.2017.06.009 · Cited by 66

A Bibliometric Analysis of Publications in Computer Networking Research

Iqbal, W., Qadir, J., Gareth Tyson, A., Mian, A., Hassan, S., Crowcroft, J., et al. (n.d.) · Cambridge University Engineering Department Publications Database · Cited by 67

Lost for emotion words: What motor and limbic brain activity reveals about autism and semantic theory

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Verbal intelligence is a more robust cross-sectional measure of cognitive reserve than level of education in healthy older adults

Boyle, R. T., Knight, S. P., Looze, C. D., Carey, D., Scarlett, S., Stern, Y., Robertson, I. H., Kenny, R. A., & Whelan, R. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-021-00870-z · Cited by 69

A new model of air quality prediction using lightweight machine learning

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Value representations in the rodent orbitofrontal cortex drive learning, not choice

Miller, K. J., Botvinick, M., & Brody, C. D. (2022) · eLife · doi:10.7554/elife.64575 · Cited by 72

Demographic consequences of phenological asynchrony for North American songbirds

Youngflesh, C., Montgomery, G. A., Saracco, J. F., Miller, D. A. W., Guralnick, R., Hurlbert, A. H., Siegel, R. B., LaFrance, R., & Tingley, M. W. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2221961120 · Cited by 68

Self-prioritization of fully unfamiliar stimuli

Wozniak, M. M., & Knoblich, G. (2019) · Quarterly Journal of Experimental Psychology · doi:10.1177/1747021819832981 · Cited by 65

Estimating Energy Expenditure during Level, Uphill, and Downhill Walking

LOONEY, D. P., SANTEE, W. R., HANSEN, E. O., BONVENTRE, P. J., CHALMERS, C. R., & POTTER, A. W. (2019) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000002002 · Cited by 62

Chemical exchange saturation transfer for predicting response to stereotactic radiosurgery in human brain metastasis

Desmond, K. L., Mehrabian, H., Chavez, S., Sahgal, A., Soliman, H., Rola, R., & Stanisz, G. J. (2016) · Magnetic Resonance in Medicine · doi:10.1002/mrm.26470 · Cited by 65

Determining optimal parameters of the self-referent encoding task: A large-scale examination of self-referent cognition and depression.

Dainer‐Best, J., Lee, H. Y., Shumake, J., Yeager, D. S., & Beevers, C. G. (2018) · Psychological Assessment · doi:10.1037/pas0000602 · Cited by 62

Midfrontal theta and pupil dilation parametrically track subjective conflict (but also surprise) during intertemporal choice

Lin, H., Saunders, B., Hutcherson, C. A. C., & Inzlicht, M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.055 · Cited by 76

Range-Doppler Based CFAR Ship Detection with Automatic Training Data Selection

Joshi, S. K., Baumgartner, S. V., da Silva, A. B. C., & Krieger, G. (2019) · Remote Sensing · doi:10.3390/rs11111270 · Cited by 64

One-to-N & N-to-One: Two Advanced Backdoor Attacks Against Deep Learning Models

Xue, M., He, C., Wang, J., & Liu, W. (2020) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2020.3028448 · Cited by 67

The effects of left DLPFC tDCS on emotion regulation, biased attention, and emotional reactivity to negative content

Clarke, P., Bockstaele, B. V., Marinovic, W., Howell, J. A., Boyes, M. E., & Notebaert, L. (2020) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-020-00840-2 · Cited by 66

Financial constraints, investments, and environmental strategies: An empirical analysis of judicial barriers

Falavigna, G., & Ippoliti, R. (2022) · Business Strategy and the Environment · doi:10.1002/bse.2995 · Cited by 64

Evaluation of Variability Across Rat Acute Oral Systemic Toxicity Studies

Karmaus, A. L., Mansouri, K., To, K. T., Blake, B. E., Fitzpatrick, J. M., Strickland, J. A., Patlewicz, G. Y., Allen, D., Casey, W., & Kleinstreuer, N. (2022) · Toxicological Sciences · doi:10.1093/toxsci/kfac042 · Cited by 64

The utility of multivariate outlier detection techniques for data quality evaluation in large studies: an application within the ONDRI project

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Using optically pumped magnetometers to measure magnetoencephalographic signals in the human cerebellum

Lin, C., Tierney, T. M., Holmes, N., Boto, E., Leggett, J., Bestmann, S., Bowtell, R. W., Brookes, M. J., Barnes, G. R., & Miall, R. C. (2019) · The Journal of Physiology · doi:10.1113/jp277899 · Cited by 61

A Synchronized Lissajous-Based Method to Detect and Classify Events in Synchro-Waveform Measurements in Power Distribution Networks

Izadi, M., & Mohsenian‐Rad, H. (2022) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2022.3148757 · Cited by 63

Athletes Intending to Use Sports Supplements Are More Likely to Respond to a Placebo

Hurst, P., Foad, A., Coleman, D. A., & Beedie, C. (2017) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001297 · Cited by 63

The Benefits and Challenges of Implementing Motivational Features to Boost Cognitive Training Outcome

Mohammed, S., Flores, L., Deveau, J., Hoffing, R. C., Phung, C., Parlett, C., Sheehan, E., Lee, D. M., Au, J., Buschkuehl, M., et al. (2017) · Journal of Cognitive Enhancement · doi:10.1007/s41465-017-0047-y · Cited by 72

Shifts in the temperature‐sensitive periods for spring phenology in European beech and pedunculate oak clones across latitudes and over recent decades

Wenden, B., Mariadassou, M., Chmielewski, F., & Vitasse, Y. (2019) · Global Change Biology · doi:10.1111/gcb.14918 · Cited by 63

Estimation of groundwater level based on the robust training of recurrent neural networks using corrupted data

Jeong, J., Park, E., Chen, H., Kim, K., Han, W. S., & Suk, H. (2019) · Journal of Hydrology · doi:10.1016/j.jhydrol.2019.124512 · Cited by 63

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Low impact surface hardness testing (Equotip) on porous surfaces – advances in methodology with implications for rock weathering and stone deterioration research

Wilhelm, K., VILES, H. A., & Burke, Ó. (2015) · Earth Surface Processes and Landforms · doi:10.1002/esp.3882 · Cited by 62

Hybrid ICA—Regression: Automatic Identification and Removal of Ocular Artifacts from Electroencephalographic Signals

Mannan, M. M. N., Jeong, M. Y., & Kamran, M. A. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00193 · Cited by 62

Fast detection of tobacco mosaic virus infected tobacco using laser-induced breakdown spectroscopy

Peng, J., Song, K., Zhu, H., Kong, W., Liu, F., Shen, T., & He, Y. (2017) · Scientific Reports · doi:10.1038/srep44551 · Cited by 62

RFL-APIA: A Comprehensive Framework for Mitigating Poisoning Attacks and Promoting Model Aggregation in IIoT Federated Learning

Li, C., He, A., Liu, G., Wen, Y., Chronopoulos, A. T., & Giannakos, A. (2024) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2024.3431020 · Cited by 63

On the efficacy of procedures to normalize Ex-Gaussian distributions

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A Unified tool to estimate Distances, Ages, and Masses (UniDAM) from spectrophotometric data

Mints, A., & Hekker, S. (2017) · Astronomy and Astrophysics · doi:10.1051/0004-6361/201630090 · Cited by 61

Differential impact of exogenous and endogenous attention on the contrast sensitivity function across eccentricity

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Low and variable correlation between reaction time costs and accuracy costs explained by accumulation models: Meta-analysis and simulations.

Hedge, C., Powell, G., Bompas, A., Vivian-Griffiths, S., & Sumner, P. (2018) · Psychological Bulletin · doi:10.1037/bul0000164 · Cited by 67

Evaluation of the global MODIS 30 arc-second spatially and temporally complete snow-free land surface albedo and reflectance anisotropy dataset

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Lake Surface Water Temperature Derived from 35 Years of AVHRR Sensor Data for European Lakes

Lieberherr, G.-D., & Wunderle, S. (2018) · Remote Sensing · doi:10.3390/rs10070990 · Cited by 65

When mere action versus inaction leads to robust preference change.

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Age-Related Deterioration of Perineuronal Nets in the Primary Auditory Cortex of Mice

Brewton, D. H., Kokash, J., Jimenez, O., Pena, E. R., & Razak, K. A. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00270 · Cited by 54

Video games and board games: Effects of playing practice on cognition

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