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 impacts of climate change on water resources and agriculture in China
20102.8k citationsShilong Piao, Philippe Ciais et al.profile →
The carbon balance of terrestrial ecosystems in China
20091.4k citationsShilong Piao, Philippe Ciais et al.profile →
A 3‐year field measurement of methane and nitrous oxide emissions from rice paddies in China: Effects of water regime, crop residue, and fertilizer application
2005671 citationsJianwen Zou, Yao Huang et al.profile →
Climate drives global soil carbon sequestration and crop yield changes under conservation agriculture
2020198 citationsWenjuan Sun, Lijun Yu et al.Global Change Biologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Yao 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 Yao Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Huang more than expected).
This network shows the impact of papers produced by Yao 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 Yao Huang. The network helps show where Yao Huang may publish in the future.
Co-authorship network of co-authors of Yao Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Yao Huang.
A scholar is included among the top collaborators of Yao 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 Yao Huang. Yao Huang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Huang, Yao. (2011). Spatial and temporal variation of net primary productivity in Inner Mongolian grassland from 1981 to 2001. Caoye kexue.1 indexed citations
13.
Jia, Zhi‐Jun, Wen Zhang, Yao Huang, Xiaosong Zhao, & Changchun Song. (2010). [Effects of marshland reclamation on evapotranspiration in the Sanjiang Plain].. PubMed. 31(4). 833–42.2 indexed citations
14.
Huang, Yao, et al.. (2010). Modeling dynamics of soil organic carbon in an alpine meadow ecosystem on Qinghai-Tibetan Plateau using the Century model. Acta Pratacultural Science. 19(2). 160–168.3 indexed citations
15.
Huang, Yao, et al.. (2009). Relationships between soil organic matter content (SOM) and pH in topsoil of zonal soils in China.. Acta Pedologica Sinica. 46(5). 851–860.33 indexed citations
16.
Lu, Yanyu, Yao Huang, Wen Zhang, & Xunhua Zheng. (2007). [Estimation of chemical fertilizer N-induced direct N2O emission from China agricultural fields in 1991-2000 based on GIS technology].. PubMed. 18(7). 1539–45.3 indexed citations
17.
Yu, Yongqiang & Yao Huang. (2006). Modeling Farmland Soil Organic Carbon Dynamics in Eastern China:Model Validation and Sensitivity Analysis. Geography and Geo-Information Science.5 indexed citations
Huang, Yao, et al.. (2002). Validation and Scenario Analysis of a Soil Organic Carbon Model. Agricultural Sciences in China. 1(4). 417–423.3 indexed citations
20.
Huang, Yao, et al.. (1984). Using the method of infrared sensing for monitoring fatigue process of metals. Materials Evaluation. 42(8). 1020–1024.24 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.