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.
Energy revolution: From a fossil energy era to a new energy era
2016596 citationsCaineng Zou, Qun Zhao et al.Natural Gas Industry Bprofile →
Shale gas in China: Characteristics, challenges and prospects (I)
2015508 citationsHonglin Liu, Qun Zhao et al.profile →
Shale gas in China: Characteristics, challenges and prospects (II)
2016407 citationsCaineng Zou, Honglin Liu et al.profile →
Theory, technology and prospects of conventional and unconventional natural gas
This map shows the geographic impact of Qun Zhao'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 Qun Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qun Zhao more than expected).
This network shows the impact of papers produced by Qun Zhao. 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 Qun Zhao. The network helps show where Qun Zhao may publish in the future.
Co-authorship network of co-authors of Qun Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Qun Zhao.
A scholar is included among the top collaborators of Qun Zhao 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 Qun Zhao. Qun Zhao is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Liu, Honglin, et al.. (2011). Gas-seepage characteristics of coalbed reservoirs with different water saturation in theQinshui Basin. Acta Petrologica Sinica. 32(3). 500–503.
11.
Zhao, Qun. (2011). Elastic properties of tight sands in the Lower Shihezi Formation of Ordos Basin. Acta Petrologica Sinica.3 indexed citations
12.
Zhao, Qun. (2010). Study on Exploitation and Industrial Development of Bauxite Resource in Yunnan Province.1 indexed citations
13.
Zhao, Qun. (2009). Potentials and prospects of tar sands resources in China. Tianranqi gongye.5 indexed citations
14.
Wang, Hongyan, et al.. (2008). STATUS ANALYSIS AND ADVICES ON EXPLORATION AND DEVELOPMENT OF UNCONVENTIONAL HYDROCARBON RESOURCES. Tianranqi gongye. 28(12). 7–10.12 indexed citations
15.
Zhao, Qun. (2008). POTENTIAL ANALYSIS ON EXPLORATION OF GEOTHERMAL RESOURCES IN OIL AND GAS FIELDS. Tianranqi gongye.7 indexed citations
16.
Zhao, Qun. (2008). EXPLORATION ORIENTATION FOR LARGE GAS FIELDS IN CHINA. Tianranqi gongye.1 indexed citations
17.
Zhao, Qun. (2007). SWAN/ECOMSED-based three-dimensional numerical model for fine sediment transport in storm event in Huanghua Port. Journal of Sediment Research.5 indexed citations
18.
Zhao, Qun. (2007). FORMING DIFFERENCES BETWEEN HIGH AND LOW COAL RANK COALBED METHANE RESERVOIRS. Tianranqi diqiu kexue.2 indexed citations
19.
Zhao, Qun, et al.. (2006). Anisotropy test instance of ultrasonic velocity and attenuation of coal sample. Progress in geophysics.5 indexed citations
20.
Yu, Yuxiu, Ningchuan Zhang, & Qun Zhao. (1997). WAVE ACTIONS ON A VERTICAL CYLINDER IN MULTI-DRIECTIONAL RANDOM WAVES. 1(25). 415–428.6 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.