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.
Exploring the spatiotemporal pattern evolution of carbon emissions and air pollution in Chinese cities
202391 citationsXianqiang Mao, Bofeng Cai 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 Xianqiang Mao'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 Xianqiang Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianqiang Mao more than expected).
This network shows the impact of papers produced by Xianqiang Mao. 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 Xianqiang Mao. The network helps show where Xianqiang Mao may publish in the future.
Co-authorship network of co-authors of Xianqiang Mao
This figure shows the co-authorship network connecting the top 25 collaborators of Xianqiang Mao.
A scholar is included among the top collaborators of Xianqiang Mao 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 Xianqiang Mao. Xianqiang Mao is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gao, Yubing, et al.. (2021). Research on co-control effectiveness evaluation of energy saving and emission reduction measures in China’s iron and steel industry. Advances in Climate Change Research. 0.8 indexed citations
9.
Mao, Xianqiang. (2013). Willingness to Pay of Urban and Suburban Households in Beijing for an Ecological Project in the Surrounding Areas. Arid Zone Research.1 indexed citations
10.
Mao, Xianqiang, et al.. (2012). An environmental-economic analysis of carbon,sulfur and nitrogen co-reduction path for China's power industry. China Environmental Science. 32(4). 748–756.12 indexed citations
11.
Mao, Xianqiang. (2012). Co-control:Lookback and Lookforward. International Journal of Environment and Sustainable Development.1 indexed citations
12.
Liu, Zhaoyang, et al.. (2011). Co-control of air pollution and GHGs in China’s iron and steel sector : an integrated modelling assessment of policy and technology options.3 indexed citations
13.
Mao, Xianqiang. (2008). Water environmental carrying capacity evaluation in Beijing City with vector norm method. Water Resources Protection.
Yang, Shengtian, et al.. (2004). Research on buildings impacting on aerosol diffusing in urban area using remote sensing.. PubMed. 16(3). 509–12.2 indexed citations
17.
Mao, Xianqiang. (2003). Seeking optimal urban population:a case study in Guangzhou. Acta Scientiae Circumstantiae.1 indexed citations
18.
Mao, Xianqiang. (2002). Primary studies on urban ecosystem health assessment. China Environmental Science.36 indexed citations
19.
Zhang, Guoxiang, et al.. (1996). Reaction of some enzyme activities in crops of different tolerance to the stress of Cd. 16(2). 113–117.3 indexed citations
20.
Zhang, Guoxiang, et al.. (1995). The tolerance mechanism of crops to Cd pollution. 6(1). 87–91.38 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.