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.
Influence of land use and land cover patterns on seasonal water quality at multi-spatial scales
2016417 citationsPeng Shi, Zhanbin Li et al.CATENAprofile →
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 Zhanbin Li'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 Zhanbin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhanbin Li more than expected).
This network shows the impact of papers produced by Zhanbin Li. 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 Zhanbin Li. The network helps show where Zhanbin Li may publish in the future.
Co-authorship network of co-authors of Zhanbin Li
This figure shows the co-authorship network connecting the top 25 collaborators of Zhanbin Li.
A scholar is included among the top collaborators of Zhanbin Li 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 Zhanbin Li. Zhanbin Li is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Li, Peng, et al.. (2018). Study on Temporal and Spatial Variation of Runoff Velocity and Sediment in the Convex Hillslope Under Different Vegetation Patterns. 32(6). 16–21.1 indexed citations
10.
Li, Zhanbin, et al.. (2016). Study on the Influential Factors of SCS-CN Model Parameter S in the Loess Plateau Area. Nature Environment and Pollution Technology. 15(2). 707–714.1 indexed citations
11.
Li, Zhanbin, et al.. (2016). Responses of runoff process to climate change and human activities in Yanhe River basin. 14(5). 65.2 indexed citations
12.
Li, Binbin, Zhanbin Li, & Peng Li. (2015). Spatial and temporal variation characteristics of vegetation cover fractal dimension in Dali River watershed based on GIS and RS.. Nongye gongcheng xuebao. 31(12). 173–178.2 indexed citations
13.
Li, Binbin, Zhanbin Li, Peng Li, & Kexin Lü. (2014). Research on FBM characters of watershed vegetation feature based on NDVI. Biotechnology : an Indian journal. 10(24).1 indexed citations
14.
Li, Zhanbin. (2011). Mechanism and experiment of vegetation on slope to reduce runoff and sediment. Journal of Sediment Research.4 indexed citations
15.
Zheng, Jiyong, et al.. (2010). Effect of PAM on soil physical properties and water distribution.. Nongye gongcheng xuebao. 26(4). 70–74.3 indexed citations
16.
Wei, Xia, Xungui Li, Zhanbin Li, & Bing Shen. (2009). Experiments on hydraulic characteristics of runoff in slope-gully systems in Loess Plateau.. Nongye gongcheng xuebao. 25(10). 19–24.5 indexed citations
Xiang, Wei & Zhanbin Li. (2006). The Effect of Soil Erosion on the Ecosystem. Shuitu baochi yanjiu.4 indexed citations
19.
Li, Peng, et al.. (2005). [Dynamic distribution characters of herbaceous vegetation root systems in abandoned grasslands of Loess Plateau].. PubMed. 16(5). 849–53.8 indexed citations
20.
Li, Zhanbin, et al.. (2005). Ecological rehabilitation of environment along West-East Pipe Project(WEPP) in vulnerable regions. Applied Mechanics and Materials.1 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.