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.
Microbial necromass under global change and implications for soil organic matter
202392 citationsJunxi Hu, Liehua Tie et al.Global Change Biologyprofile →
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 Congde Huang'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 Congde Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congde Huang more than expected).
This network shows the impact of papers produced by Congde Huang. 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 Congde Huang. The network helps show where Congde Huang may publish in the future.
Co-authorship network of co-authors of Congde Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Congde Huang.
A scholar is included among the top collaborators of Congde Huang 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 Congde Huang. Congde Huang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tie, Liehua, et al.. (2019). Effects of simulated nitrogen and sulfur deposition on lignin degradation during foliar litter decomposition in evergreen broad-leaved forest in the rainy area of west China.. Linye kexue yanjiu. 32(2). 25–31.1 indexed citations
13.
Zhao, Qian, et al.. (2018). Effects of simulated nitrogen deposition on microbial biomass during litter decomposition in a natural evergreen broad-leaved forest in the rainy area of West China. 38(22). 8001–8007.2 indexed citations
14.
Song, Dan‐Xia, Congde Huang, Joe Sexton, Saurabh Channan, & J. R. Townshend. (2014). Size and frequency of forest loss and gain in China during 2000-2005. AGU Fall Meeting Abstracts. 2014.1 indexed citations
15.
Wang, Yongjun, et al.. (2010). Species diversity, biomass and their relationship of shrubberies in an arid valley of Minjiang river.. Arid Zone Research. 27(4). 567–572.4 indexed citations
16.
Huang, Congde & Guoqing Zhang. (2009). Impact factors of carbon sequestration in artificial forest carbon stock and its impact factors.. 22(2). 34–38.2 indexed citations
17.
Huang, Congde, et al.. (2009). Soil organic carbon density in plantations of hilly region in the Western Sichuan.. Zhejiang linye keji. 29(3). 5–8.2 indexed citations
18.
Huang, Congde, Jian Zhang, Wanqin Yang, & Guoqing Zhang. (2008). [Characteristics of carbon stock in artificial forest ecosystem in Sichuan Province of China].. PubMed. 19(8). 1644–50.9 indexed citations
19.
Huang, Congde, Jian Zhang, Wanqin Yang, & Xiao Tang. (2007). [Spatiotemporal variation of carbon storage in forest vegetation in Sichuan Province].. PubMed. 18(12). 2687–92.11 indexed citations
20.
Huang, Congde. (2007). Carbon density,storage and distribution in birch forest ecosystem on the forestland converted from farmland. Shengtaixue zazhi.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.