The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Long-term trends of precipitation in the North China Plain
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In the citing paper
“This consistently strong performance may be attributed to the dominant heavy rainfall mechanisms in these regions, which are primarily driven by large-scale synoptic systems [74][75][76].”
From A Machine Learning-Based Quality Control Algorithm for Heavy Rainfall Using Multi-Source Data (2025) · cites this paper as [76]
Citations
Cites
Nonparametric Tests Against Trend
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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
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
A homogeneity test applied to precipitation data.
Alexandersson, H. (1986) · Journal of Climatology · doi:10.1002/joc.3370060607 · Cited by 1,858
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
Trend analysis in Turkish precipitation data
Partal, T., & Kahya, E. (2005) · Hydrological Processes · doi:10.1002/hyp.5993 · Cited by 1,035
(2013) · 气象学报：英文版 · doi:10.1007/13351.2191-4788 · Cited by 488
Observed trends of precipitation amount, frequency, and intensity in China, 1960–2000
Liu, B., Xu, M., Henderson, M., & Qi, Y. (2005) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2004jd004864 · Cited by 332
Precipitation Variability and Extreme Events in Eastern China during the Past 1500 Years
Zheng, J., Wang, W.-C., Ge, Q., Man, Z., & Zhang, P. (2006) · Terrestrial, Atmospheric and Oceanic Sciences · doi:10.3319/tao.2006.17.3.579(a · Cited by 262
Regional trends in recent precipitation indices in China
Qian, W., & Lin, X. (2005) · Meteorology and Atmospheric Physics · doi:10.1007/s00703-004-0101-z · Cited by 235
Research works printed but not linked: 12
- Kendall M G, 1975. Rank Correlation Measures. London: Charles Griffin.
- Lin Yuping., Zhao Chunsheng, 2009. Trends of precipitation of different intensity in China. Acta Scientiarum Naturalium Universitatis Pekinensis, 45(6): 18–25. (in Chinese)
- Liu Haiwen, Ding Yihui, 2011. The interdecadal variability of summer precipitation over North China. Journal of Applied Meteorological Science, (2): 129–137. (in Chinese)
- Liu Xiaoning, 2000. The homogeneity test on mean annual wind speed over China. Quarterly Journal of Applied Meteorology, 11(1): 27–34. (in Chinese)
- Liu Xiaoning, Sun Anjian, 1995. An inhomogeheity test study of annual precipitation series. Meteorological Monthly, 21(8): 3–6. (in Chinese)
- Wang Qunying, Gong Daoyi, 1999. Variation of rainfall over north china and its possible connection to El Nino. Journal of Natural Resources, 14(2): 103–108. (in Chinese)
- Wei Zhigang, Dong Wenjie, Fan Lijun, 1999. Analysis and research on relationship between the climatic and run-off variation since 1980s in North China. Plateau Meteorology, 18(4): 525–534. (in Chinese)
- Xu Yueqing, Li Shuangcheng, Cai Yunlong, 2004. The changing regularity of precipitation in Hebei Plain based on wavelet analysis. Science in China (Series D), 34(12): 1176–1183. (in Chinese)
- Yang Jianping, Ding Yongjian, Chen Rensheng. et al., 2003. Variations of precipitation and evaporation in North China in recent 40 years. Journal of Arid Land Resources and Environment, 17(2): 6–11. (in Chinese)
- Zhai Panmao, Pan Xiaohua, 2003. Change in extreme temperature and precipitation over northern China during the second half of the 20th century. Acta Geographica Sinica, 58(Suppl.): 1–10. (in Chinese)
- Zhou Shunwu, Jia La, 1999. The beginning and interruption of rainy season over Tibetan Plateau. Meteorology, 25(12): 38–42. (in Chinese)
- Zuo Dakang, Gong Guoyuan et al., 1985. Control and Exploitation of Huang-Huai-Hai Plain. Beijing: Science Press, 1–20.
Cited by
A Machine Learning-Based Quality Control Algorithm for Heavy Rainfall Using Multi-Source Data
Sun, H., Zhou, Q., Shi, L., Li, C., Qin, S., Yao, D., Xu, M., Huang, Y., Hu, Q., & Guan, Y. (2025) · Remote Sensing · doi:10.3390/rs17243976 · Cited by 4
Metadata
- Authors
- Fan, L., Lu, C., Yang, B., & Chen, Z.
- Affiliations
- Institute of Geographic Sciences and Natural Resources Research (CN)
- China Academy of Space Technology (CN)
- Corresponding author
- Lu, Changhe
- Venue
- Journal of Geographical Sciences
- Published
- 2012-11-17
- Volume
- 22
- Issue
- 6
- Pages
- 989-1001
- ISSN
- 1009-637X (ISSN-L)
- 1861-9568
- OpenAlex
- W2034404770
- Cited by
- 71
- References
- 24
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 12 · 2023: 6 · 2022: 5 · 2021: 7 · 2020: 2 · 2019: 7 · 2018: 7 · 2017: 8 · 2016: 4 · 2015: 5 · 2014: 2 · 2013: 1
- FWCI
- 2.12
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Geographical Sciences (publishedVersion)
- Institute of Geographic Sciences and Natural Resources Research, CAS Institutional Repository (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Environmental Science › Global and Planetary Change › Hydrology and Drought Analysis
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Precipitation Measurement and Analysis
- Keywords
- precipitation trends, North China Plain, seasonal precipitation variation, heavy rainfall, rainy days, rainfall intensity, water scarcity, global warming, climate change, food grain production
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Long-term trends of precipitation in the North China Plain. https://app.cochat.ai/papers/10.1007/s11442-012-0978-2
- The paper
- Fan, L., Lu, C., Yang, B., & Chen, Z. (2012). Long-term trends of precipitation in the North China Plain. Journal of Geographical Sciences. https://doi.org/10.1007/s11442-012-0978-2
Data sources
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.
