Jin Huang

4.1k total citations
77 papers, 2.2k citations indexed

About

Jin Huang is a scholar working on Global and Planetary Change, Ecology, Evolution, Behavior and Systematics and Atmospheric Science. According to data from OpenAlex, Jin Huang has authored 77 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Global and Planetary Change, 22 papers in Ecology, Evolution, Behavior and Systematics and 19 papers in Atmospheric Science. Recurrent topics in Jin Huang's work include Climate variability and models (37 papers), Hydrology and Drought Analysis (21 papers) and Climate change impacts on agriculture (20 papers). Jin Huang is often cited by papers focused on Climate variability and models (37 papers), Hydrology and Drought Analysis (21 papers) and Climate change impacts on agriculture (20 papers). Jin Huang collaborates with scholars based in China, United States and Bangladesh. Jin Huang's co-authors include Huug M. van den Dool, Shanlei Sun, Jinchi Zhang, Yan Xue, Huug van den Dool, Yun Fan, Zengxin Zhang, Fangmin Zhang, Chong‐Yu Xu and Jinchi Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Environmental Science & Technology.

In The Last Decade

Jin Huang

74 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jin Huang China 25 1.6k 865 564 284 261 77 2.2k
Alireza Farahmand United States 12 2.2k 1.4× 565 0.7× 684 1.2× 292 1.0× 431 1.7× 21 2.7k
Patrick Laux Germany 33 2.0k 1.3× 1.0k 1.2× 772 1.4× 346 1.2× 559 2.1× 106 2.8k
Iman Mallakpour United States 20 1.8k 1.1× 605 0.7× 922 1.6× 244 0.9× 191 0.7× 30 2.5k
Marius‐Victor Birsan Romania 27 1.3k 0.8× 848 1.0× 482 0.9× 340 1.2× 118 0.5× 59 2.3k
Tommaso Caloiero Italy 33 2.5k 1.6× 1.2k 1.4× 719 1.3× 454 1.6× 300 1.1× 122 3.2k
Sandra Gomes Portugal 3 1.6k 1.0× 868 1.0× 980 1.7× 235 0.8× 220 0.8× 3 2.2k
Kirsten Warrach‐Sagi Germany 22 2.1k 1.3× 1.4k 1.7× 671 1.2× 346 1.2× 196 0.8× 57 2.6k
Miquel Tomàs‐Burguera Spain 29 2.1k 1.3× 703 0.8× 660 1.2× 212 0.7× 304 1.2× 55 2.6k
Deepak Jhajharia India 21 2.3k 1.4× 722 0.8× 976 1.7× 494 1.7× 244 0.9× 41 2.8k

Countries citing papers authored by Jin Huang

Since Specialization
Citations

This map shows the geographic impact of Jin 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 Jin Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Huang more than expected).

Fields of papers citing papers by Jin Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin 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 Jin Huang. The network helps show where Jin Huang may publish in the future.

Co-authorship network of co-authors of Jin Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Huang. A scholar is included among the top collaborators of Jin 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 Jin Huang. Jin Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Hu, Qing, et al.. (2023). The estimation of building carbon emission using nighttime light images: A comparative study at various spatial scales. Sustainable Cities and Society. 101. 105066–105066. 31 indexed citations
4.
Pang, Yong, Tao Yu, Zengyuan Li, et al.. (2023). TECIS: The First Mission Towards Forest Carbon Mapping By Combination Of Lidar And Multi-Angle Optical Observations. 1890–1893. 1 indexed citations
5.
Zhang, Beibei, Qing Xu, Deqiang Gao, et al.. (2021). Soil capacity of intercepting different rainfalls across subtropical plantation: Distinct effects of plant and soil properties. The Science of The Total Environment. 784. 147120–147120. 16 indexed citations
6.
Zheng, Hui, Jin Huang, & Jiadong Chen. (2021). Climate-Induced Yield Losses for Winter Wheat in Henan Province, North China and Their Relationship with Circulation Anomalies. Water. 13(23). 3341–3341. 6 indexed citations
7.
Wang, Yang, et al.. (2020). Effects of farmland management measures on soil organic carbon turnover and microorganisms. SHILAP Revista de lepidopterología. 5 indexed citations
8.
Huang, Jin, Limin Zhou, Fangmin Zhang, & Ying Li. (2020). Responses of Yield Fluctuation of Winter Oilseed Rape to Climate Anomalies in South China at Provincial Scale. International Journal of Plant Production. 14(3). 521–530. 9 indexed citations
9.
Huang, Jin, Fangmin Zhang, Limin Zhou, Zhenghua Hu, & Ying Li. (2018). Regional changes of climate extremes and its effect on rice yield in Jiangsu province, southeast China. Environmental Earth Sciences. 77(3). 19 indexed citations
10.
Huang, Jin, Abu Reza Md. Towfiqul Islam, Fangmin Zhang, & Zhenghua Hu. (2017). Spatiotemporal analysis the precipitation extremes affecting rice yield in Jiangsu province, southeast China. International Journal of Biometeorology. 61(10). 1863–1872. 27 indexed citations
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Sun, Shanlei, Haishan Chen, Weimin Ju, et al.. (2016). On the coupling between precipitation and potential evapotranspiration: contributions to decadal drought anomalies in the Southwest China. Climate Dynamics. 48(11-12). 3779–3797. 67 indexed citations
13.
Shen, Youxin, et al.. (2016). Rock outcrops redistribute water to nearby soil patches in karst landscapes. Environmental Science and Pollution Research. 23(9). 8610–8616. 48 indexed citations
14.
Huang, Jin, et al.. (2016). Model of Eco-Water Driving Force Affecting the Evolvement of Runoff in the Upper Minjiang River Basin. Polish Maritime Research. 23(s1). 91–96. 3 indexed citations
15.
Shen, Youxin, et al.. (2016). Rock Outcrops Redistribute Organic Carbon and Nutrients to Nearby Soil Patches in Three Karst Ecosystems in SW China. PLoS ONE. 11(8). e0160773–e0160773. 32 indexed citations
16.
Huang, Jin, Fengling Liu, Yan Xue, & Shanlei Sun. (2015). The spatial and temporal analysis of precipitation concentration and dry spell in Qinghai, northwest China. Stochastic Environmental Research and Risk Assessment. 29(5). 1403–1411. 36 indexed citations
17.
Huang, Jin, Shanlei Sun, Yan Xue, & Jinchi Zhang. (2014). Spatial and temporal variability of precipitation indices during 1961–2010 in Hunan Province, central south China. Theoretical and Applied Climatology. 118(3). 581–595. 44 indexed citations
18.
Li, Cheng, Ranghui Wang, & Jin Huang. (2013). Variation Characteristics of Temperature and Precipitation in the North of Tianshan Mountains in Recent 50 Years. Shuitu baochi yanjiu. 20(6). 117–124. 1 indexed citations
19.
Huang, Jin, Shanlei Sun, & Jinchi Zhang. (2013). Detection of trends in precipitation during 1960–2008 in Jiangxi province, southeast China. Theoretical and Applied Climatology. 114(1-2). 237–251. 75 indexed citations
20.
Huang, Jin, Jinchi Zhang, Zengxin Zhang, Shanlei Sun, & Jian Yao. (2011). Simulation of extreme precipitation indices in the Yangtze River basin by using statistical downscaling method (SDSM). Theoretical and Applied Climatology. 108(3-4). 325–343. 48 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.

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