The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
The Mann-Kendall Test Modified by Effective Sample Size to Detect Trend in Serially Correlated Hydrological Series
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Citations
Cites
Nonparametric Tests Against Trend
Mann, H. B. (1945) · Econometrica · doi:10.2307/1907187 · Cited by 17,144
Estimates of the Regression Coefficient Based on Kendall's Tau
Sen, P. K. (1968) · Journal of the American Statistical Association · doi:10.1080/01621459.1968.10480934 · Cited by 14,517
Moran, P. A. P., & Kendall, M. G. (1973) · International Statistical Review / Revue Internationale de Statistique · doi:10.2307/1402637 · Cited by 4,054
A modified Mann-Kendall trend test for autocorrelated data
Hamed, K. H., & Ramachandra Rao, A. (1998) · Journal of Hydrology · doi:10.1016/s0022-1694(97)00125-x · Cited by 3,897
Techniques of trend analysis for monthly water quality data
Hirsch, R. M., Slack, J. R., & Smith, R. A. (1982) · Water Resources Research · doi:10.1029/wr018i001p00107 · Cited by 2,934
A Rank-Invariant Method of Linear and Polynomial Regression Analysis
Theil, H. (1992) · Advanced Studies in Theoretical and Applied Econometrics · doi:10.1007/978-94-011-2546-8_20 · Cited by 2,517
The influence of autocorrelation on the ability to detect trend in hydrological series
Yue, S., Pilon, P., Phinney, B., & Cavadias, G. (2002) · Hydrological Processes · doi:10.1002/hyp.1095 · Cited by 2,111
Self-citationYue, S., Pilon, P., & Cavadias, G. (2002) · Journal of Hydrology · doi:10.1016/s0022-1694(01)00594-7 · Cited by 2,072
Self-citationA Nonparametric Trend Test for Seasonal Data With Serial Dependence
Hirsch, R. M., & Slack, J. R. (1984) · Water Resources Research · doi:10.1029/wr020i006p00727 · Cited by 1,658
Detection of hydrologic trends and variability
Burn, D. H., & Hag Elnur, M. A. (2002) · Journal of Hydrology · doi:10.1016/s0022-1694(01)00514-5 · Cited by 1,162
Cited by
Trend detection in hydrologic data: The Mann–Kendall trend test under the scaling hypothesis
Hamed, K. H. (2008) · Journal of Hydrology · doi:10.1016/j.jhydrol.2007.11.009 · Cited by 1,437
van Dijk, A. I. J. M., Beck, H. E., Crosbie, R. S., de Jeu, R. A. M., Liu, Y. Y., Podger, G. M., Timbal, B., & Viney, N. R. (2013) · Water Resources Research · doi:10.1002/wrcr.20123 · Cited by 1,357
pyMannKendall: a python package for non parametric Mann Kendall family of trend tests.
Hussain, M., & Mahmud, I. (2019) · Journal of Open Source Software · doi:10.21105/joss.01556 · Cited by 782
Zhao, G., Tian, P., Mu, X., Jiao, J., Wang, F., & Gao, P. (2014) · Journal of Hydrology · doi:10.1016/j.jhydrol.2014.07.014 · Cited by 386
Global Food Demand Scenarios for the 21st Century
Bodirsky, B. L., Rolinski, S., Biewald, A., Weindl, I., Popp, A., & Lotze-Campen, H. (2015) · PLOS ONE · doi:10.1371/journal.pone.0139201 · Cited by 297
Metadata
- Authors
- Yue, S., & Wang, C.
- Venue
- Water Resources Management
- Published
- 2004-06
- Volume
- 18
- Issue
- 3
- Pages
- 201-218
- ISSN
- 0920-4741 (ISSN-L)
- 1573-1650
- OpenAlex
- W2053605206
- Cited by
- 1,491
- References
- 24
- FWCI
- 4.08
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The Mann-Kendall Test Modified by Effective Sample Size to Detect Trend in Serially Correlated Hydrological Series. https://app.cochat.ai/papers/10.1023/b:warm.0000043140.61082.60
- The paper
- Yue, S., & Wang, C. (2004). The Mann-Kendall Test Modified by Effective Sample Size to Detect Trend in Serially Correlated Hydrological Series. Water Resources Management. https://doi.org/10.1023/b%3Awarm.0000043140.61082.60
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
