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.
Quantifying the impacts of climate change and ecological restoration on streamflow changes based on a Budyko hydrological model in China's Loess Plateau
2015429 citationsWei Liang, Dan Bai 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 Dan Bai'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 Dan Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Bai more than expected).
This network shows the impact of papers produced by Dan Bai. 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 Dan Bai. The network helps show where Dan Bai may publish in the future.
Co-authorship network of co-authors of Dan Bai
This figure shows the co-authorship network connecting the top 25 collaborators of Dan Bai.
A scholar is included among the top collaborators of Dan Bai 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 Dan Bai. Dan Bai is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bai, Dan, et al.. (2018). Dynamic response evaluation of hydraulic performance based on sediment deposition sensitivity to flow rate of dripper emitter.. Nongye gongcheng xuebao. 34(15). 85–91.3 indexed citations
8.
Guo, Lin, et al.. (2017). Numerical simulation and verification of hydraulic performance and energy dissipation mechanism of two-ways mixed flow emitter.. Nongye gongcheng xuebao. 33(14). 100–107.8 indexed citations
9.
Meng, Zhaofu, et al.. (2016). Mechanism of CTMAB modifying BS-12 modified bentonite.. Acta Pedologica Sinica. 53(2). 543–551.3 indexed citations
Tian, Jiyang, et al.. (2014). Numerical simulation of hydraulic performance on bidirectional flow channel of drip irrigation emitter using Fluent.. Nongye gongcheng xuebao. 30(20). 65–71.7 indexed citations
12.
Bai, Dan. (2012). Research on Key Technologies of Water Resource Information Service Platform Based on the Open Source REST Framework.
13.
Bai, Dan. (2012). Discipline Identity in the Major of Tourism Management: Scale Development and Dimensional Measurement. Luyou xuekan.2 indexed citations
Li, Gang, et al.. (2010). Effects of soil physical properties on irrigation quality of lateral in subsurface drip irrigation.. Nongye gongcheng xuebao. 26(9). 14–19.3 indexed citations
16.
Bai, Dan, et al.. (2009). Hydraulic factors of laterals in subsurface drip irrigation.. Nongye gongcheng xuebao. 25(11). 19–22.3 indexed citations
17.
Li, Gang, et al.. (2009). Effect of different textural soils on hydraulic characteristics of emitters under subsurface drip irrigation.. Transactions of the Chinese Society of Agricultural Machinery. 40(2). 58–62.1 indexed citations
18.
Bai, Dan, et al.. (2009). Identification of soil hydraulic properties based on genetic algorithm.. Nongye gongcheng xuebao. 25(9). 32–35.7 indexed citations
19.
Bai, Dan. (2006). Numerical Simulation of Coupled Heat Transfer in Silica Fiber Thermal Insulation for Thermal Protection Systems. Journal of Astronautics.1 indexed citations
20.
Bai, Dan. (2005). Genetic algorithm-linear programming method for optimal design of supply looped water network with single source by gravity.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.