An Analysis of Variance Test for Normality (Complete Samples)

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Tabassum, A., & Semke, W. H. (2018) · Data · doi:10.3390/data3020019 · Cited by 23

Comparison between Atmospheric Reanalysis Models ERA5 and ERA-Interim at the North Antarctic Peninsula Region

Hillebrand, F. L., Bremer, U. F., NETO, J. A., et al. (2020) · Annals of the American Association of Geographers · doi:10.1080/24694452.2020.1807308 · Cited by 23

Freight trips generated at retail malls in dense urban areas

Cheah, L. W., Mepparambath, R. M., & Surribas, G. M. R. (2021) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2021.01.015 · Cited by 23

A new modified approach to evaluating the installation power of large-diameter helical piles in sand validated by centrifuge and field data

Shao, K. J., Su, Q., Liu, K., et al. (2021) · Applied Ocean Research · doi:10.1016/j.apor.2021.102756 · Cited by 23

Data-based ensemble approach for semi-supervised anomaly detection in machine tool condition monitoring

Denkena, B., Dittrich, M.-A., Noske, H., et al. (2021) · CIRP journal of manufacturing science and technology · doi:10.1016/j.cirpj.2021.09.003 · Cited by 23

Output market power and firm characteristics in dairy processing: Evidence from three EU countries

Koppenberg, M., & Hirsch, S. (2021) · Journal of Agricultural Economics · doi:10.1111/1477-9552.12460 · Cited by 23

Predicting students’ flow experience through behavior data in gamified educational systems

Oliveira, W., Tenório, K., Hamari, J., Pastushenko, O., & Isotani, S. (2021) · Smart Learning Environments · doi:10.1186/s40561-021-00175-6 · Cited by 23

Meta‐Analysis of Apparent Diffusion Coefficient in Pediatric Medulloblastoma, Ependymoma, and Pilocytic Astrocytoma

Dury, R. J., Lourdusamy, A., Macarthur, D., Peet, A. C., Auer, D. P., Grundy, R. G., & Dineen, R. A. (2021) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.28007 · Cited by 23

Response of chickpea to varying moisture stress conditions in Ethiopia

Korbu, L. B., Fikre, A., Tesfaye, K., et al. (2022) · Agrosystems Geosciences & Environment · doi:10.1002/agg2.20234 · Cited by 23

Experimental study on random temperature field of ultra-high performance concrete filled steel tube columns under elevated temperature

Wang, T., Yu, M., Zhang, X., et al. (2022) · Composite Structures · doi:10.1016/j.compstruct.2022.115445 · Cited by 23

Once an optimist, always an optimist? Studying cognitive judgment bias in mice

Bračić, M., Bohn, L., Siewert, V., von Kortzfleisch, V. T., Schielzeth, H., Kaiser, S., Sachser, N., & Richter, S. H. (2022) · Behavioral Ecology · doi:10.1093/beheco/arac040 · Cited by 22

Statistical Behavior of PMU Measurement Errors: An Experimental Characterization

Castello, P., Muscas, C., & Pegoraro, P. A. (2022) · IEEE Open Journal of Instrumentation and Measurement · doi:10.1109/ojim.2022.3205678 · Cited by 23

Let’s draw molecules: Students’ sequential drawing processes of resonance structures in organic chemistry

Braun, I., Langner, A., & Graulich, N. (2022) · Frontiers in Education · doi:10.3389/feduc.2022.1055280 · Cited by 23

Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends

Taraghi, M., Dorcelus, G., Foundjem, A. T., Tambon, F., & Khomh, F. (2024) · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) · doi:10.1109/saner60148.2024.00059 · Cited by 30

A guide through the computational analysis of isotope-labeled mass spectrometry-based quantitative proteomics data: an application study

Albaum, S. P., Hahne, H., Otto, A., Haußmann, U., Becher, D., Poetsch, A., Goesmann, A., & Nattkemper, T. W. (2011) · Proteome Science · doi:10.1186/1477-5956-9-30 · Cited by 23

Arbuscular mycorrhiza has limited effects on yield and quality of tomatoes grown under soilless cultivation

Maboko, M. M., Bertling, I., & Plooy, C. P. D. (2013) · Acta Agriculturae Scandinavica Section B - Soil & Plant Science · doi:10.1080/09064710.2012.755219 · Cited by 23

Multilevel hybrid Chernoff tau-leap

Moraes, A., Tempone, R. F., & Vilanova, P. (2015) · BIT Numerical Mathematics · doi:10.1007/s10543-015-0556-y · Cited by 23

Incorporating sources of uncertainty in forecasting peak power loads-a Monte Carlo analysis using the extreme value distribution

Belzer, D. B., & Kellogg, M. (1993) · IEEE Transactions on Power Systems · doi:10.1109/59.260807 · Cited by 23

Assessing awareness of colorectal cancer symptoms and screening in a peripheral colorectal surgical unit: a survey based study

McVeigh, T. P., Lowery, A., Waldron, R. M., et al. (2013) · BMC Surgery · doi:10.1186/1471-2482-13-20 · Cited by 23

Radiologic assessment of glenohumeral relationship: reliability and reproducibility of lateral humeral offset

Kadum, B., Sayed-Noor, A. S., Perisynakis, N., Baea, S., & Sjödén, G. (2015) · Surgical and Radiologic Anatomy · doi:10.1007/s00276-015-1424-9 · Cited by 23

A model‐based approach to sample size estimation in recent onset type 1 diabetes

Bundy, B. N., Krischer, J. P., & Type 1 Diabetes TrialNet Study Group (2016) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2800 · Cited by 23

A methodological evaluation of natural user interfaces for immersive 3D Graph explorations

Erra, U., Malandrino, D., & Pepe, L. (2017) · Journal of Visual Languages & Computing · doi:10.1016/j.jvlc.2017.11.002 · Cited by 23

A Perceptual-Like Population-Coding Mechanism of Approximate Numerical Averaging

Brezis, N., Bronfman, Z. Z., & Usher, M. (2017) · Neural Computation · doi:10.1162/neco_a_01037 · Cited by 22

Automatic cohesive summarization with pronominal anaphora resolution

Antunes, J. B., Lins, R. D., Lima, R. J., et al. (2018) · Computer Speech & Language · doi:10.1016/j.csl.2018.05.004 · Cited by 23

Evaluating impact of entrepreneurship education programs

Daneshjoovash, S. K., & Hosseini, M. H. (2018) · Education + Training · doi:10.1108/et-08-2017-0128 · Cited by 23

Feasibility of hyperspectral vegetation indices for the detection of chlorophyll concentration in three high Arctic plants: Salix polaris, Bistorta vivipara, and Dryas octopetala

Zagajewski, B., Kycko, M., Tømmervik, H., et al. (2018) · Acta Societatis Botanicorum Poloniae · doi:10.5586/asbp.3604 · Cited by 23

Reliability of ultrasound speckle tracking with singular value decomposition for quantifying displacement in the carpal tunnel

Schrier, V. J. M. M., Evers, S., Bosch, J. G., Selles, R. W., & Amadio, P. C. (2019) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2019.01.022 · Cited by 23

Validating Entrepreneurial Intentions Questionnaire to Assess the Impact of Entrepreneurship Education

Asghar, M. Z., Gul, F., Seitamaa‐Hakkarainen, P., & Taşdemir, M. (2019) · TED EĞİTİM VE BİLİM · doi:10.15390/eb.2019.6105 · Cited by 23

ANALYSIS OF EFFECTS OF COVER CROP AND TILLAGE METHOD COMBINATIONS ON THE PHENOTYPIC TRAITS OF SPRING WHEAT (TRITICUM AESTIVUM L.) USING MULTIVARIATE METHODS

Bocianowski, J., & Majchrzak, L. (2019) · Applied Ecology and Environmental Research · doi:10.15666/aeer/1706_1526715276 · Cited by 23

Temporal persistence of throughfall heterogeneity below and between the canopies of juvenile lodgepole pine (Pinus contorta)

Carlyle‐Moses, D. E., & Lishman, C. E. (2015) · Hydrological Processes · doi:10.1002/hyp.10494 · Cited by 23

Genetic parameters for resistance to the Salmonella abortusovis vaccinal strain Rv6 in sheep

Moreno, C. R., Lantier, F., Berthon, P., Gautier‐Bouchardon, A. V., Boivin, R., Lantier, I., Brunel, J.-C., Weisbecker, J., François, D., Bouix, J. J., et al. (2003) · Genetics Selection Evolution · doi:10.1186/1297-9686-35-2-199 · Cited by 23

Systematic Revision of the Epipetrum Group of Dioscorea (Dioscoreaceae) Endemic to Chile

Viruel, J., Segarra‐Moragues, J. G., Pérez‐Collazos, E., et al. (2010) · Systematic Botany · doi:10.1600/036364410790862579 · Cited by 23

The Bivariate Gompertz Diffusion Model for Tree Diameter and Height Distribution

Rupšys, P., & Petrauskas, E. (2010) · Forest Science · doi:10.1093/forestscience/56.3.271 · Cited by 23

Food consumption and food exchange of caged honey bees using a radioactive labelled sugar solution

Brodschneider, R., Libor, A., Kupelwieser, V., & Crailsheim, K. (2017) · PLoS ONE · doi:10.1371/journal.pone.0174684 · Cited by 23

THE AGGLOMERATION OF R&D LABS

Carlino, G. A., Hunt, R. M., Carr, J. K., & Smith, T. E. (2012) · Working paper · doi:10.21799/frbp.wp.2012.22 · Cited by 23

Normality tests

Yang, S., & Berdine, G. G. (2021) · The Southwest Respiratory and Critical Care Chronicles · doi:10.12746/swrccc.v9i37.805 · Cited by 22

Unraveling the interaction effect between the educated labor force and patent applications on environmental quality in OECD countries: investigation of N-shaped EKC hypothesis

Boujedra, F., & Jebli, M. B. (2025) · Climatic Change · doi:10.1007/s10584-024-03841-z · Cited by 22

A parallel evolutionary approach to solve the relay node placement problem in wireless sensor networks

Lanza-Gutiérrez, J. M., Gomez-Pulido, J. A., Vega-Rodríguez, M. A., & Sanchez-Perez, J. M. (2013) · Genetic and Evolutionary Computation Conference (GECCO) · doi:10.1145/2463372.2463517 · Cited by 22

Transcriptomic alterations in Daphnia magna embryos from mothers exposed to hypoxia

Lai, K. P., Li, J., Chan, C. Y. S., Chan, T., Yuen, K. W. Y., & Chiu, J. (2016) · Aquatic Toxicology · doi:10.1016/j.aquatox.2016.06.020 · Cited by 22

Components of heat-treated Helianthus annuus L. pectin inhibit tumor growth and promote immunity in a mouse CT26 tumor model

Guan, Y., Zhang, Z., Yu, X., Yan, J., Zhou, Y., Cheng, H., & Tai, G. (2018) · Journal of Functional Foods · doi:10.1016/j.jff.2018.07.001 · Cited by 22

Head Mounted Display Interaction Evaluation: Manipulating Virtual Objects in Augmented Reality

Frutos-Pascual, M., Creed, C., & Williams, I. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-29390-1_16 · Cited by 22

Cost efficiency and welfare performance of banks: evidence from an emerging economy

Adeabah, D., & Andoh, C. (2020) · International Journal of Managerial Finance · doi:10.1108/ijmf-06-2019-0212 · Cited by 22

Binary and multiclass classifiers based on multitaper spectral features for epilepsy detection

Oliva, J. T., & Rosa, J. L. G. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102469 · Cited by 26

Analiza statystyczna z IBM SPSS Statistics

Wiktorowicz, J., Grzelak, M. M., & Grzeszkiewicz-Radulska, K. (2020) · Wydawnictwo Uniwersytetu Łódzkiego eBooks · doi:10.18778/8220-387-5 · Cited by 22

Influence of invasive Prosopis juliflora on the distribution and ecology of native blackbuck in protected areas of Tamil Nadu, India

Arandhara, S., Sathishkumar, S., Gupta, S., & Baskaran, N. (2021) · European Journal of Wildlife Research · doi:10.1007/s10344-021-01485-3 · Cited by 24

Best-fit probability distribution models for monthly rainfall of Northeastern Brazil

Ximenes, P. D. S. M. P., da Silva, A. S. A., Ashkar, F., et al. (2021) · Water Science & Technology · doi:10.2166/wst.2021.304 · Cited by 22

Revisiting brain iron deficiency in restless legs syndrome using magnetic resonance imaging

Beliveau, V., Stefani, A., Birkl, C. R., Kremser, C., Gizewski, E. R., Högl, B., & Scherfler, C. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103024 · Cited by 24

The associations between specific-type sedentary behaviors and cognitive flexibility in adolescents

Cui, J., Li, L., & Dong, C. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.910624 · Cited by 25

PPARγ and NOTCH Regulate Regional Identity in the Murine Cardiac Outflow Tract

Rammah, M., Théveniau‐Ruissy, M., Sturny, R., Rochais, F., & Kelly, R. G. (2022) · Circulation Research · doi:10.1161/circresaha.122.320766 · Cited by 22

Watermarking Graph Neural Networks based on Backdoor Attacks

Xu, J., Koffas, S., Ersoy, O., & Picek, S. (2023) · IEEE European Symposium on Security and Privacy · doi:10.1109/eurosp57164.2023.00072 · Cited by 34

Prediction of IOL decentration, tilt and axial position using anterior segment OCT data

Langenbucher, A., Szentmáry, N., Cayless, A., et al. (2023) · Graefe s Archive for Clinical and Experimental Ophthalmology · doi:10.1007/s00417-023-06208-9 · Cited by 22

Innovation and commercialisation: the role of the international dynamic marketing capability in Malaysian international entrepreneurial firms

Mostafiz, M. I., Ahmed, F. U., Ibrahim, F., & Tarba, S. Y. (2023) · International Marketing Review · doi:10.1108/imr-10-2022-0241 · Cited by 23

Regional differences in the link between water exchange rate across the blood–brain barrier and cognitive performance in normal aging

Zachariou, V., Pappas, C. A., Bauer, C. E., Shao, X., Liu, P., Lu, H., Wang, D. J. J., & Gold, B. T. (2023) · GeroScience · doi:10.1007/s11357-023-00930-2 · Cited by 21

A Neuroergonomic Approach Fostered by Wearable EEG for the Multimodal Assessment of Drivers Trainees

Flumeri, G. D., Giorgi, A., Germano, D., et al. (2023) · Sensors · doi:10.3390/s23208389 · Cited by 22

G2OP2C – A Deep Reinforcement Learning Algorithm for Glucose Control by Glucose Prediction and Planning in Type 1 Diabetes

Hettiarachchi, C., Malagutti, N., Nolan, C. J., Suominen, H., & Daskalaki, E. (2022) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2023.105839 · Cited by 31

Generative AI in the Software Modeling Classroom: An Experience Report With ChatGPT and Unified Modeling Language

Cámara, J., Troya, J., Montes-Torres, J., & Jaime, F. J. (2024) · IEEE Software · doi:10.1109/ms.2024.3385309 · Cited by 24

Towards an Evidence-Based Understanding of Emergence of Architecture through Continuous Refactoring in Agile Software Development

Chen, L., & Babar, M. A. (2014) · Working IEEE/IFIP Conference on Software Architecture (WICSA) · doi:10.1109/wicsa.2014.45 · Cited by 22

Towards the clinical application of X-ray phase contrast imaging

Williams, I. M., Siu, K. K. W., Runxuan, G., et al. (2008) · European Journal of Radiology · doi:10.1016/j.ejrad.2008.04.042 · Cited by 22

Towards fast OS rejuvenation: An experimental evaluation of fast OS reboot techniques

Bovenzi, A., Alonso, J., Yamada, H., et al. (2013) · IEEE International Symposium on Software Reliability Engineering (ISSRE) · doi:10.1109/issre.2013.6698905 · Cited by 22

Molecular genetic study of novel biomarkers for early diagnosis of oral squamous cell carcinoma

Yong-Deok, K., Eun-Hyoung, J., Yeon-Sun, K., Mi, P. K., Jin-Yong, L., Sung-Hwan, C., Tae-Yun, K., Tae-Sung, P., Soung-Min, K., Myung-Jin, K., et al. (2014) · Medicina oral, patología oral y cirugía bucal · doi:10.4317/medoral.20229 · Cited by 22

Examining the predictive accuracy of the novel 3D N-linear algebraic molecular codifications on benchmark datasets

García‐Jacas, C. R., Contreras‐Torres, E., Marrero‐Ponce, Y., Pupo-Meriño, M., Barigye, S. J., & Cabrera‐Leyva, L. (2016) · Journal of Cheminformatics · doi:10.1186/s13321-016-0122-x · Cited by 22

Shrub-annual facilitation complexes mediate insect community structure in arid environments

Ruttan, A., Filazzola, A., & Lortie, C. J. (2016) · Journal of Arid Environments · doi:10.1016/j.jaridenv.2016.06.009 · Cited by 21

Intraday market effects in electronic soybean futures market during non-trading and trading hour announcements

Joseph, K., & Garcia, P. (2017) · Applied Economics · doi:10.1080/00036846.2017.1355542 · Cited by 22

Recovery From Heavy Vocal Loading in Women With Different Degrees of Functional Voice Problems

Whitling, S., Åhlander, V. L., & Rydell, R. (2017) · Journal of Voice · doi:10.1016/j.jvoice.2016.12.012 · Cited by 22

Promoting sport and physical activity participation: the impact of endorser expertise and recognisability

Behnoosh, S., Naylor, M. E., & Dickson, G. (2017) · Managing Sport and Leisure · doi:10.1080/23750472.2018.1424024 · Cited by 22

Modeling Data-Driven Dominance Traits for Virtual Characters Using Gait Analysis

Randhavane, T., Bera, A., Kubin, E., Gray, K. J., & Manocha, D. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2953063 · Cited by 22

A new user-friendly tool for rapid modelling of ground deformation

Cannavò, F. (2019) · Computers & Geosciences · doi:10.1016/j.cageo.2019.04.002 · Cited by 22

Super-gaussianity of Speech Spectral Coefficients as a Potential Biomarker for Dysarthric Speech Detection

Kodrasi, I., & Bourlard, H. A. (2019) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2019.8683107 · Cited by 22

A systematic mapping study on higher order mutation testing

Lima, J. P., & Vergílio, S. R. (2019) · Journal of Systems and Software · doi:10.1016/j.jss.2019.04.031 · Cited by 22

Cross‐instrument feasibility, validity, and reproducibility of wireless heart rate monitors: Novel opportunities for extended daily life monitoring

Kunkels, Y. K., van Roon, A. M., Wichers, M., & Riese, H. (2021) · Psychophysiology · doi:10.1111/psyp.13898 · Cited by 20

Linking neural and clinical measures of glaucoma with diffusion magnetic resonance imaging (dMRI)

Miller, N. P., Liu, Y., Krivochenitser, R. I., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0217011 · Cited by 22

Intraoperative Estimation of the Coupling Efficiency and Clinical Outcomes of the Vibrant Soundbridge Active Middle Ear Implant Using Auditory Brainstem Response Measurements

Geiger, U., Radeloff, A., Hagen, R., et al. (2019) · American Journal of Audiology · doi:10.1044/2019_aja-18-0066 · Cited by 22

Capital Adequacy, Cost Income Ratio and Performance of Banks in Ghana

Antwi, F. (2019) · International Journal of Academic Research in Business and Social Sciences · doi:10.6007/ijarbss/v9-i10/6471 · Cited by 22

The Impact of Corporate Social Responsibility on Default Risk: Empirical Evidence from US Firms

Rizwan, M. S., Obaid, A., & Ashraf, D. (2017) · Business & Economic Review · doi:10.22547/ber/9.3.2 · Cited by 23

Robust Adaptive Trimming for High-Resolution Direction Finding

Lim, C., See, S., Zoubir, A. M., et al. (2009) · IEEE Signal Processing Letters · doi:10.1109/lsp.2009.2019740 · Cited by 22

PHYSIOLOGICAL AND POPULATION ECOLOGY OF INTERTIDAL AND SUBTIDAL ASCOPHYLLUM NODOSUM (PHAEOPHYTA)

Peckol, P. M., Harlin, M. M., & Krumscheid, P. (1988) · Journal of Phycology · doi:10.1111/j.1529-8817.1988.tb04233.x · Cited by 22

Controlled environment assessment of partial resistance to Mycosphaerella pinodes in pea (Pisum sativum L.) seedlings

Prioul, S., Onfroy, C., Tivoli, B., et al. (2003) · Euphytica · doi:10.1023/a:1023072214685 · Cited by 22

Automatic Placenta Localization From Ultrasound Imaging in a Resource-Limited Setting Using a Predefined Ultrasound Acquisition Protocol and Deep Learning

Schilpzand, M., Neff, C., van Dillen, J., van Ginneken, B., Heskes, T., de Korte, C., & van den Heuvel, T. (2022) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2021.12.006 · Cited by 23

Configuring international entrepreneurial orientation and dynamic internationalization capability to predict international performance

Mostafiz, M. I., Ahmed, F. U., Tardios, J. A., Hughes, P., & Tarba, S. Y. (2024) · International Business Review · doi:10.1016/j.ibusrev.2024.102275 · Cited by 21

Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement

Rajput, S., Widmayer, T., Shang, Z., Kechagia, M., Sarro, F., & Sharma, T. (2024) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3680470 · Cited by 28

I Will Put My Law in Their Minds: Social Control and Cheating Behavior Among Catholics and Protestants

Quiamzade, A., Sommet, N., Laborde, J. B., L’Huillier, J.-P., & Guiso, L. (2017) · Journal for the Scientific Study of Religion · doi:10.1111/jssr.12337 · Cited by 21

Variability of streambed hydraulic conductivity in an intermittent stream reach regulated by Vented Dams: A case study

Naganna, S. R., & Deka, P. C. (2018) · Journal of Hydrology · doi:10.1016/j.jhydrol.2018.05.006 · Cited by 21

Three‐dimensional mapping of the attenuation coefficient in optical coherence tomography to enhance breast tissue microarchitecture contrast

Foo, K. Y., Chin, L., Zilkens, R., et al. (2020) · Journal of Biophotonics · doi:10.1002/jbio.201960201 · Cited by 21

Agent-based modelling and parameter sensitivity analysis with a finite-element method for skin contraction

Peng, Q., & Vermolen, F. J. (2020) · Biomechanics and Modeling in Mechanobiology · doi:10.1007/s10237-020-01354-z · Cited by 19

On the Relationship between Language Learning Strategies and Language Proficiency in Indian Universities

Dr., F. D. E., Ranjan, R., Philominraj, A. S., et al. (2021) · International Journal of Instruction · doi:10.29333/iji.2021.1435a · Cited by 21

An evaluation of the effectiveness of personalization and self-adaptation for e-Health apps

Grua, E. M., Sanctis, M. D., Malavolta, I., Hoogendoorn, M., & Lago, P. (2022) · Information and Software Technology · doi:10.1016/j.infsof.2022.106841 · Cited by 21

Benchmarking Human versus Robot Performance in Emergency Structural Inspection

Xia, P., Xu, F., Zhou, T., & Du, J. (2022) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0002322 · Cited by 21

Resistance of Dickeya solani strain IPO 2222 to lytic bacteriophage ΦD5 results in fitness tradeoffs for the bacterium during infection

Bartnik, P., Lewtak, K., Fiołka, M. J., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-14956-7 · Cited by 21

Ecological Risk of Toxic Metal Contamination in Soil around Coal Mine and Thermal Power Plant

Ilić, P., Ilić, S., Markić, D. N., Bjelić, L. S., Popović, Z., Radović, B., Kurilić, S. M., Farooqi, Z. U. R., Mehmood, T., Mohamed, M. H., et al. (2022) · Polish Journal of Environmental Studies · doi:10.15244/pjoes/148071 · Cited by 21

Assessment of climate characteristics and long-term trends of rainfall and drought in the Congo River Basin

Mabrouk, E. H., Moursy, F. I., & Morsy, M. (2022) · Journal of Water and Climate Change · doi:10.2166/wcc.2022.241 · Cited by 21

Research on the Content, Technological, and Pedagogical Knowledge (TPACK) of Chemistry Teachers During Remote Teaching in the Pandemic in the Light of Students’ Perceptions

Bedin, E., Marques, M. S., & Cleophas, M. D. G. (2023) · Journal of Information Technology Education Research · doi:10.28945/5063 · Cited by 21

Enhancing the defectiveness prediction of methods and classes via JIT

Falessi, D., Laureani, S. M., Çarka, J., Esposito, M., & da Costa, D. A. (2023) · Empirical Software Engineering · doi:10.1007/s10664-022-10261-z · Cited by 21

A Novel Cooperation-Guided Warning of Invisible Danger from AR-HUD to Enhance Driver’s Perception

You, F., Zhang, J., Zhang, J., Shen, L., Fang, W., Cui, W., & Wang, J. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2233734 · Cited by 22

Evolution of Supraglacial Lakes from 1990 to 2020 in the Himalaya–Karakoram Region Using Cloud-Based Google Earth Engine Platform

Sahu, R., Ramsankaran, R., Bhambri, R., et al. (2023) · Journal of the Indian Society of Remote Sensing · doi:10.1007/s12524-023-01773-2 · Cited by 21

Safety Assessment of Recycled Plastics from Post-Consumer Waste with a Combination of a Miniaturized Ames Test and Chromatographic Analysis

Mayrhofer, E., Prielinger, L., Sharp, V., et al. (2023) · Recycling · doi:10.3390/recycling8060087 · Cited by 21

Experimental Channel Characterization of Human Body Communication Based on Measured Impulse Response

Vizziello, A., Savazzi, P., Guerra, R. R., & Dell’Acqua, F. (2024) · IEEE Transactions on Communications · doi:10.1109/tcomm.2024.3370468 · Cited by 22

Assessing Training Methods for Advanced Driver Assistance Systems and Autonomous Vehicle Functions: Impact on User Mental Models and Performance

Murtaza, M., Cheng, C., Fard, M., & Zeleznikow, J. (2024) · Applied Sciences · doi:10.3390/app14062348 · Cited by 21

The MADS-box genes SOC1 and AGL24 antagonize XAL2 functions in Arabidopsis thaliana root development

Castañón-Suárez, C. A., Arrizubieta, M., Castelán-Muñoz, N., et al. (2024) · Frontiers in Plant Science · doi:10.3389/fpls.2024.1331269 · Cited by 21

Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO

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