Multiple Comparisons Using Rank Sums

Use of Ranks in One-Criterion Variance Analysis

Kruskal, W. H., & Wallis, W. A. (1952) · Journal of the American Statistical Association · doi:10.1080/01621459.1952.10483441 · Cited by 13,912

Statistical Tests Based on Permutations of the Observations

Wald, A., & Wolfowitz, J. (1944) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177731207 · Cited by 260

Effects of a selective inhibitor of the Abl tyrosine kinase on the growth of Bcr-Abl positive cells

Druker, B. J., Tamura, S., Buchdunger, E., Ohno, S., Segal, G. M., Fanning, S., Zimmermann, J., & Lydon, N. B. (1996) · Nature Medicine · doi:10.1038/nm0596-561 · Cited by 2,967

Increasing western US forest wildfire activity: sensitivity to changes in the timing of spring

Westerling, A. L. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2015.0178 · Cited by 1,322

An up-to-date comparison of state-of-the-art classification algorithms

Zhang, C., Liu, C., Zhang, X., & Almpanidis, G. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.04.003 · Cited by 440

Sex Differences in the Effect of Diabetes Mellitus on Lipoprotein Triglyceride and Cholesterol Concentrations

Walden, C. E., Knopp, R. H., Wahl, P. W., Beach, K. W., & Strandness, E. (1984) · New England Journal of Medicine · doi:10.1056/nejm198410113111505 · Cited by 253

The effect of sampling temperature on problem solving in large language models

Renze, M. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024 · doi:10.18653/v1/2024.findings-emnlp.432 · Cited by 212

Generalized anxiety and depressive symptoms in various age groups during the COVID-19 lockdown in Poland. Specific predictors and differences in symptoms severity

Gambin, M., Sękowski, M., Woźniak-Prus, M., Wnuk, A., Oleksy, T., Cudo, A., Hansen, K., Huflejt-Łukasik, M., Kubicka, K., Łyś, A. E., et al. (2021) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2020.152222 · Cited by 202

The reproductive toxicology of ammonium perfluorooctanoate (APFO) in the rat

Butenhoff, J. L., Kennedy, G. L., Frame, S. R., O’Connor, J. C., & York, R. G. (2004) · Toxicology · doi:10.1016/j.tox.2003.11.005 · Cited by 188

Frequency of manic symptoms during a depressive episode and unipolar ‘depressive mixed state’ as bipolar spectrum

Sato, T., Bottlender, R., Schröter, A., & Möller, H. ‐. (2003) · Acta Psychiatrica Scandinavica · doi:10.1034/j.1600-0447.2003.00051.x · Cited by 170

Renal cell carcinoma does not express argininosuccinate synthetase and is highly sensitive to arginine deprivation via arginine deiminase

Yoon, C., Shim, Y., Kim, E., Lee, J., Won, N., Kim, J., Park, I., Yoon, D., & Min, B. (2007) · International Journal of Cancer · doi:10.1002/ijc.22322 · Cited by 165

Cinematic virtual reality: Evaluating the effect of display type on the viewing experience for panoramic video

MacQuarrie, A., & Steed, A. (2017) · 2017 IEEE Virtual Reality (VR) · doi:10.1109/vr.2017.7892230 · Cited by 142

Spatial Filtering for EEG-Based Regression Problems in Brain–Computer Interface (BCI)

Wu, D., King, J.-T., Chuang, C.-H., Lin, C.-T., & Jung, T.-P. (2018) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2017.2688423 · Cited by 116

Online and Offline Domain Adaptation for Reducing BCI Calibration Effort

Wu, D. (2017) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2016.2608931 · Cited by 114

Sex Differences in Internalizing Problems During Adolescence in Autism Spectrum Disorder

Oswald, T. M., Winter-Messiers, M. A., Gibson, B., Schmidt, A. M., Herr, C. M., & Solomon, M. (2016) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-015-2608-1 · Cited by 104

Long‐term hydrologic recovery after wildfire and post‐fire forest management in the interior Pacific Northwest

Niemeyer, R. J., Bladon, K. D., & Woodsmith, R. D. (2020) · Hydrological Processes · doi:10.1002/hyp.13665 · Cited by 103

Mapping of HKT1;5 Gene in Barley Using GWAS Approach and Its Implication in Salt Tolerance Mechanism

Hazzouri, K. M., Khraiwesh, B., Amiri, K. M. A., Pauli, D., Blake, T., Shahid, M., Mullath, S. K., Nelson, D., Mansour, A. L., Salehi-Ashtiani, K., et al. (2018) · Frontiers in Plant Science · doi:10.3389/fpls.2018.00156 · Cited by 91

A Comparison of Virtual and Physical Training Transfer of Bimanual Assembly Tasks

Murcia-Lopez, M., & Steed, A. (2018) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2018.2793638 · Cited by 83

Toxicological Evaluation of Potassium Perfluorobutanesulfonate in a 90-day Oral Gavage Study with Sprague-Dawley Rats

Lieder, P. H., Chang, S.-C., York, R. G., & Butenhoff, J. L. (2009) · Toxicology · doi:10.1016/j.tox.2008.10.002 · Cited by 76

Male Body Image Portrayals on Instagram

Gültzow, T., Guidry, J. P. D., Schneider, F., & Hoving, C. (2020) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2019.0368 · Cited by 76

Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization

Wu, D., Lawhern, V. J., Hairston, W. D., & Lance, B. J. (2016) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2016.2544108 · Cited by 74

EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features

Wu, D., Lance, B. J., Lawhern, V. J., Gordon, S., Jung, T.-P., & Lin, C.-T. (2017) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2017.2699784 · Cited by 64

Beliefs and knowledge about post-traumatic stress disorder amongst resettled Afghan refugees in Australia

Yaser, A., Slewa-Younan, S., Smith, C. A., Olson, R. E., Guajardo, M. G. U., & Mond, J. (2016) · International Journal of Mental Health Systems · doi:10.1186/s13033-016-0065-7 · Cited by 65

Above- and belowground nitrogen uptake of winter catch crops sown after silage maize as affected by sowing date

Komainda, M., Taube, F., Kluß, C., & Herrmann, A. (2016) · European Journal of Agronomy · doi:10.1016/j.eja.2016.05.007 · Cited by 59

Evaluating the Effectiveness of Parsons Problems for Block-based Programming

Zhi, R., Chi, M., Barnes, T., & Price, T. W. (2019) · Proceedings of the 2019 ACM Conference on International Computing Education Research · doi:10.1145/3291279.3339419 · Cited by 42

Beyond the Force–Substance Dichotomy: Examining the Experience of Combined and Incapacitated Type Rapes and Their Relation to PTSD Symptoms

McConnell, A. A., Messman-Moore, T. L., Gratz, K. L., & DiLillo, D. (2020) · Journal of Interpersonal Violence · doi:10.1177/0886260517724252 · Cited by 40

A Meta-Analysis of Video Modeling Interventions to Enhance Job Skills of Autistic Adolescents and Adults

Bross, L. A., Travers, J. C., Huffman, J. M., Davis, J. L., & Mason, R. A. (2021) · Autism in Adulthood · doi:10.1089/aut.2020.0038 · Cited by 34

Beyond the Chat: Executable and Verifiable Text-Editing with LLMs

Laban, P., Vig, J., Hearst, M., Xiong, C., & Wu, C.-S. (2024) · Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology · doi:10.1145/3654777.3676419 · Cited by 31

Identification of domains responsible for specific membrane transport and ligand specificity of the ACTH receptor (MC2R)

Fridmanis, D., Petrovska, R., Kalnina, I., Slaidina, M., Peculis, R., Schiöth, H. B., & Klovins, J. (2010) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2010.02.032 · Cited by 30

Should I trust you? Learning and memory of social interactions in dementia

Wong, S., Irish, M., O’Callaghan, C., Kumfor, F., Savage, G., Hodges, J. R., Piguet, O., & Hornberger, M. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.08.016 · Cited by 28

Factors motivating citizen engagement in mobile sensing: Insights from a survey of non-participants

Leao, S., & Izadpahani, P. (2016) · Journal of Urban Technology · doi:10.1080/10630732.2016.1175824 · Cited by 26

Determining the contribution of retinotopic discrimination to localization performance with a suprachoroidal retinal prosthesis

Petoe, M. A., McCarthy, C. D., Shivdasani, M. N., Sinclair, N. C., Scott, A. F., Ayton, L. N., Barnes, N. M., Guymer, R. H., Allen, P. J., Blamey, P. J., et al. (2017) · Investigative Opthalmology & Visual Science · doi:10.1167/iovs.16-21041 · Cited by 23

Effects of differential rates of alternative reinforcement on resurgence of human behavior

Smith, B. M., Smith, G. S., Shahan, T. A., Madden, G. J., & Twohig, M. P. (2017) · Journal of the Experimental Analysis of Behavior · doi:10.1002/jeab.241 · Cited by 24

Applying Green Chemistry to Raw Material Selection and Product Formulation at The Estée Lauder Companies

Eckelman, M. J., Moroney, M. S., Zimmerman, J. B., Anastas, P. T., Thompson, E., Scott, P., McKeever-Alfieri, M., Cavanaugh, P. F., & Daher, G. (2022) · Green Chemistry · doi:10.1039/d1gc03081g · Cited by 19

SP-1, a Serine Protease from the Gut Microbiota, Influences Colitis and Drives Intestinal Dysbiosis in Mice

Kriaa, A., Jablaoui, A., Rhimi, S., Soussou, S., Mkaouar, H., Mariaule, V., Gruba, N., Gargouri, A., Maguin, E., Lesner, A., et al. (2021) · Cells · doi:10.3390/cells10102658 · Cited by 16

Perceived distress, personality characteristics, coping strategies and psychosocial impairments in a national German multicenter cohort of patients with Crohn’s disease and ulcerative colitis: Psychosocial impairments in IBD: Data from a national German multicenter cohort

Petruo, V., Krauss, E., Kleist, A., Hardt, J., Hake, K., Peirano, J., Krause, T., Ehehalt, R., von Arnauld de la Perriére, P., Büning, J., et al. (2019) · Zeitschrift für Gastroenterologie · doi:10.1055/a-0838-6371 · Cited by 16

Active semi-supervised transfer learning (ASTL) for offline BCI calibration

Wu, D. (2017) · 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC) · doi:10.1109/smc.2017.8122610 · Cited by 16

Daily patterns of locomotor and sugar‐feeding activity of the mosquito Culex annulirostris from geographically isolated populations

Williams, C. R., & Kokkinn, M. J. (2005) · Physiological Entomology · doi:10.1111/j.1365-3032.2005.00462.x · Cited by 13

Domain-specific sentiment analysis: An optimized deep learning approach for the financial markets

Yekrangi, M., & Nikolov, N. S. (2023) · IEEE Access · doi:10.1109/access.2023.3293733 · Cited by 14

Utilizing Genome-Wide mRNA Profiling to Identify the Cytotoxic Chemotherapeutic Mechanism of Triazoloacridone C-1305 as Direct Microtubule Stabilization

Króliczewski, J., Bartoszewska, S., Dudkowska, M., Janiszewska, D., Biernatowska, A., Crossman, D. K., Krzymiński, K., Wysocka, M., Romanowska, A., Baginski, M., et al. (2020) · Cancers · doi:10.3390/cancers12040864 · Cited by 13

A Meta-Analysis of Applied Behavior Analysis-Based Interventions for Individuals with Autism Spectrum Disorders (ASD) in Turkey

Sulu, M. D., Aydin, O., Martella, R. C., Erden, E., & Ozen, Z. (2026) · Review Journal of Autism and Developmental Disorders · doi:10.1007/s40489-023-00421-2 · Cited by 10

A Survey on Feedback Types in Automated Programming Assessment Systems

Frankford, E., Antensteiner, T., Vierhauser, M., Sauerwein, C., Wallner, V., Groher, I., Plösch, R., & Breu, R. (2026) · ACM Transactions on Computing Education · doi:10.1145/3773911 · Cited by 10

Learner agency in revising GenAI ‐generated statements of purpose

Jiang, Y., Wu, Q., Yang, Y., Jian, C., & Zhao, J. (2026) · British Journal of Educational Technology · doi:10.1111/bjet.70041 · Cited by 9

Reasons for unfulfilled breeding and transfer recommendations in zoos and aquariums

Gray, S. M., Faust, L. J., Kuykendall, N. A., Bladow, R. A., Schad Eebes, K., & Che‐Castaldo, J. P. (2022) · Zoo Biology · doi:10.1002/zoo.21664 · Cited by 8