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.
Analysis of hydraulic fracture initiation and vertical propagation behavior in laminated shale formation
2017324 citationsBing Hou, Mian 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 Bing Hou'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 Bing Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Hou more than expected).
This network shows the impact of papers produced by Bing Hou. 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 Bing Hou. The network helps show where Bing Hou may publish in the future.
Co-authorship network of co-authors of Bing Hou
This figure shows the co-authorship network connecting the top 25 collaborators of Bing Hou.
A scholar is included among the top collaborators of Bing Hou 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 Bing Hou. Bing Hou is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hou, Bing, et al.. (2021). Numerical Investigation on the Influence of Inter-Well Stress Interference on Hydraulic Fracture Propagation in Shale Formation.1 indexed citations
10.
Hou, Bing, et al.. (2020). The Effect of Temporary Plugging Agents and Pump Rate on Fracture Propagation in Deep Shale Based on True Tri-Axial Experiments.3 indexed citations
Hou, Bing, et al.. (2016). Experimental study on hydraulic fracture propagation in highly deviated wells. 28(5). 91.4 indexed citations
13.
Yuan, Liang, et al.. (2016). Experimental Investigation on Fracture Geometry in Multi-stage Fracturing under Tri-axial Stresses. 50th U.S. Rock Mechanics/Geomechanics Symposium.9 indexed citations
14.
Hou, Bing, et al.. (2015). Effect of Critical Fracture Zone on Hydraulic Fracture Propagation with Variable Pump Rate in Shale Reservoir.1 indexed citations
15.
Hou, Bing, et al.. (2013). Sliding Mode Synchronization for a Class of Uncertain Fractional Order Chaotic Systems. International Journal of Applied Mathematics & Statistics. 42(12). 370–378.1 indexed citations
16.
Hou, Bing. (2012). Analysis of Perforated Casing Strength in Non-uniform In-situ Stress Field in Ultra-deep Wells. Journal of Oil and Gas Technology.3 indexed citations
17.
Li, Qinghui, et al.. (2012). Indoor evaluation method for shale brittleness and improvement. Chinese journal of rock mechanics and engineering. 31(8). 1680–1685.79 indexed citations
18.
Hou, Bing. (2011). A mechanism study on the fractured reservoir instability during well testing of horizontal wells. Acta Petrologica Sinica.8 indexed citations
19.
Chen, Mian, et al.. (2011). Experimental study on stress measurement for sound emission in carbonate formation. Chinese Journal of Geotechnical Engineering. 33(8). 1192–1196.2 indexed citations
20.
Hou, Bing. (2008). Application of Copulas in reliability theory.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.