Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Recent climate and hydrological changes in a mountain–basin system in Xinjiang, China
2022208 citationsJunqiang Yao, Yaning Chen et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Weiyi Mao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Weiyi Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiyi Mao more than expected).
This network shows the impact of papers produced by Weiyi Mao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Weiyi Mao. The network helps show where Weiyi Mao may publish in the future.
Co-authorship network of co-authors of Weiyi Mao
This figure shows the co-authorship network connecting the top 25 collaborators of Weiyi Mao.
A scholar is included among the top collaborators of Weiyi Mao based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Weiyi Mao. Weiyi Mao is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mao, Weiyi. (2012). Assessment of CMIP3 climate models and projected climate changes in northern Xinjiang. Geographical Research.2 indexed citations
11.
Mao, Weiyi. (2012). GIS-based spatial interpolation of air temperature in Xinjiang. Ganhanqu dili.1 indexed citations
12.
Shen, Yongping, et al.. (2010). Changes in Glacier Mass Balance in Watershed of Sary Jaz-Kumarik Rivers of Tianshan Mountains in 1957-2006 and Their Impact on Water Resources and Trend to End of the 21th Century in Tarim River Basin. EGUGA. 58.5 indexed citations
13.
Mao, Weiyi, et al.. (2007). Abnormal temperature increasing and earlier snow melting at northern Xinjiang in mid-winter. Ganhanqu dili. 30(3). 460–462.1 indexed citations
14.
Mao, Weiyi. (2007). Extreme Flood Events in 1999 and Their Formation Conditions in Northern Slopes of the Middle Kunlun Mountains. Journal of Glaciology and Geocryology.2 indexed citations
15.
Mao, Weiyi. (2006). Change Trends of Temperature,Precipitation and Runoff Volume in the Kaxgar River Basin since Recent 50 years. Arid Zone Research.8 indexed citations
16.
Mao, Weiyi. (2006). Analysis on the Linear Tendency of Precipitation in North Xinjiang. Ganhanqu dili.3 indexed citations
17.
Mao, Weiyi. (2006). Recently-dried-up Lake Bed of the EbinurLake in Large Area. Ganhanqu dili.1 indexed citations
18.
Mao, Weiyi, et al.. (2005). Streamflow Variations of Four Source Rivers and Mainstream of Tarim River,Xinjiang and Transfer Water Course in 2003. Journal of Glaciology and Geocryology.1 indexed citations
19.
Mao, Weiyi, et al.. (2004). Streamflow Regime of Four Source Streams and Mainstream of Tarim River, Xinjiang, in 2000. Journal of Glaciology and Geocryology.2 indexed citations
20.
Mao, Weiyi & Jun Wu. (2004). Relationship of 0 ℃ Level Height and SummerFlood of Aksu River, Xinjiang. Journal of Glaciology and Geocryology.2 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.