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.
This map shows the geographic impact of Suxia Liu'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 Suxia Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suxia Liu more than expected).
This network shows the impact of papers produced by Suxia Liu. 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 Suxia Liu. The network helps show where Suxia Liu may publish in the future.
Co-authorship network of co-authors of Suxia Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Suxia Liu.
A scholar is included among the top collaborators of Suxia Liu 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 Suxia Liu. Suxia Liu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Paz, Verónica Sobejano, Teis Nørgaard Mikkelsen, Xingguo Mo, et al.. (2019). Hyperspectral and thermal sensing of stomatal conductance and photosynthesis under water stress for a C3 (soybean) and a C4 (maize) crop. EGU General Assembly Conference Abstracts. 15238.1 indexed citations
Zhang, Shouhong, et al.. (2010). Impacts of precipitation variation and soil and water conservation measures on runoff and sediment yield in the Wuding River Basin, middle reaches of the Yellow River.. Beijing Linye Daxue xuebao. 32(4). 161–168.8 indexed citations
13.
Xia, Jun, et al.. (2008). Evaluation of ecological water requirement based on hydrological cycle analysis. 39(8).2 indexed citations
14.
Liu, Suxia. (2007). Primary analysis of the relationship between storm runoff and sediment yield in Ten-watershed——A Case Study in Xiliu Brook. Journal of Water Resources and Water Engineering.2 indexed citations
15.
Mo, Xingguo, Suxia Liu, Zhonghui Lin, Xiaomin Sun, & Z. Zhu. (2006). Multi-objective conditioning of a SVAT model for heat and CO2 fluxes prediction. IAHS-AISH publication. 164–176.3 indexed citations
16.
Liu, Suxia. (2006). Calculation and analysis of runoff at dam sites in the first stage construction of the south-to-north water diversion project along the western line. Dixue qianyuan.
17.
Liu, Suxia. (2005). Advances in Predictions in Ungauged Basins. Water Resources and Hydropower Engineering.1 indexed citations
18.
Liu, Suxia, et al.. (2005). Calculation of carrying capacity of eco-environments in Haihe River basins. Advances in Water Science.2 indexed citations
19.
Bardsley, W.E. & Suxia Liu. (2003). An approach to creating lumped-parameter rainfall-runoff models for drainage basins experiencing environmental change. IAHS-AISH publication. 67–74.3 indexed citations
20.
Mo, Xingguo, et al.. (2003). Prediction of evapotranspiration and streamflow with a distributed model over the large Wuding River basin. IAHS-AISH publication. 301–307.3 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.