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.
The ion chemistry and the source of PM2.5 aerosol in Beijing
2005572 citationsYing Wang, Guoshun Zhuang et al.Atmospheric Environmentprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Yuan Hui'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 Yuan Hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Hui more than expected).
This network shows the impact of papers produced by Yuan Hui. 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 Yuan Hui. The network helps show where Yuan Hui may publish in the future.
Co-authorship network of co-authors of Yuan Hui
This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Hui.
A scholar is included among the top collaborators of Yuan Hui 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 Yuan Hui. Yuan Hui is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hui, Yuan, et al.. (2018). Mining Individuals’ Behavior Patterns from Social Media for Enhancing Online Credit Scoring. Pacific Asia Conference on Information Systems. 163.1 indexed citations
Hui, Yuan. (2011). College English Teaching in agricultural and forestry universities of China:current situation analysis and countermeasures. Journal of Shanghai Ocean University.1 indexed citations
Hui, Yuan, et al.. (2010). Study on wetland change detection and underlying causes analysis in Yinchuan plain, China. Journal of Food Agriculture & Environment. 8(2). 1109–1111.3 indexed citations
Hui, Yuan, et al.. (2009). Design and implementation of soil spatial variation analysis system. WSEAS Transactions on Information Science and Applications archive. 6(7). 1135–1144.
12.
Hui, Yuan, et al.. (2009). Classification of wetland from TM imageries based on decision tree. WSEAS Transactions on Information Science and Applications archive. 6(6). 1155–1164.25 indexed citations
13.
Hui, Yuan, et al.. (2009). Band selection of hyperspectral images based on Bhattacharyya distance. WSEAS Transactions on Information Science and Applications archive. 6(7). 1165–1175.12 indexed citations
Wang, Ying, Guoshun Zhuang, Aohan Tang, et al.. (2005). The ion chemistry and the source of PM2.5 aerosol in Beijing. Atmospheric Environment. 39(21). 3771–3784.572 indexed citations breakdown →
17.
Hui, Yuan. (2004). The dried salt-lakes saline soils sources of the dust storm in Beijing —— the individual particles analysis and XPS surface structure analysis.. China Environmental Science.6 indexed citations
18.
Hui, Yuan, Ying Wang, & Guoshun Zhuang. (2004). MSA in Beijing aerosol. Chinese Science Bulletin. 49(10). 1020–1025.20 indexed citations
19.
Hui, Yuan. (1996). Oils and Oilseeds. John Wiley & Sons eBooks.1 indexed citations
20.
Li, Jinling, et al.. (1993). Recent Studies of Chinese Rhetoric. Chinese Literature Essays Articles Reviews (CLEAR). 15. 143–143.2 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.