Shaodong Huang

511 total citations · 1 hit paper
18 papers, 355 citations indexed

About

Shaodong Huang is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Shaodong Huang has authored 18 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 11 papers in Ecology and 7 papers in Environmental Engineering. Recurrent topics in Shaodong Huang's work include Remote Sensing in Agriculture (10 papers), Land Use and Ecosystem Services (8 papers) and Remote Sensing and Land Use (4 papers). Shaodong Huang is often cited by papers focused on Remote Sensing in Agriculture (10 papers), Land Use and Ecosystem Services (8 papers) and Remote Sensing and Land Use (4 papers). Shaodong Huang collaborates with scholars based in China. Shaodong Huang's co-authors include Ning Lu, Weiheng Xu, Weili Kou, Leiguang Wang, Chao Wu, Fei Dai, Jia Wang, Boyi Liang, Jia Wang and Junping Zhang and has published in prestigious journals such as The Science of The Total Environment, Agricultural and Forest Meteorology and Ecological Indicators.

In The Last Decade

Shaodong Huang

14 papers receiving 350 citations

Hit Papers

Assessment of spatial–temporal changes of ecological envi... 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

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.

  1. Assessment of spatial–temporal changes of ecological environment quality based on RSEI and GEE: A case study in Erhai Lake Basin, Yunnan province, China
    2021 249 citations Weiheng Xu, Ning Lu et al. Ecological Indicators profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaodong Huang China 6 292 194 85 81 49 18 355
Zaheer Abbas China 6 234 0.8× 106 0.5× 57 0.7× 67 0.8× 28 0.6× 10 280
Peshawa M. Najmaddin Iraq 6 183 0.6× 118 0.6× 72 0.8× 111 1.4× 38 0.8× 7 302
Huaiyong Shao China 11 222 0.8× 106 0.5× 63 0.7× 49 0.6× 30 0.6× 35 298
Yikalo H. Araya Canada 5 317 1.1× 116 0.6× 108 1.3× 74 0.9× 45 0.9× 6 374
Marina Vîrghileanu Romania 8 195 0.7× 94 0.5× 89 1.0× 95 1.2× 92 1.9× 14 335
Aekkapol Aekakkararungroj United States 8 172 0.6× 111 0.6× 71 0.8× 109 1.3× 47 1.0× 16 291
Atsushi RIKIMARU Japan 5 210 0.7× 240 1.2× 73 0.9× 180 2.2× 24 0.5× 12 396
Hasan Mohammed Hameed Iraq 7 234 0.8× 87 0.4× 71 0.8× 149 1.8× 38 0.8× 13 335
Andrea Strollo Italy 7 346 1.2× 154 0.8× 26 0.3× 37 0.5× 70 1.4× 11 414
Qianqian Wei China 5 344 1.2× 192 1.0× 34 0.4× 42 0.5× 60 1.2× 6 384

Countries citing papers authored by Shaodong Huang

Since Specialization
Citations

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

Fields of papers citing papers by Shaodong Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaodong Huang

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

All Works

18 of 18 papers shown
1.
2.
Huang, Shaodong, Rui Li, Yujie Li, et al.. (2025). Forest greenness stability in response to climate change along forest edge–core gradients. Agricultural and Forest Meteorology. 375. 110850–110850.
3.
Huang, Shaodong, Yujie Li, Shuwen Xue, et al.. (2025). Progress in forest carbon dynamics under global forest disturbance trend. Ecological Frontiers. 45(4). 781–793.
4.
Li, Yujie, et al.. (2025). Human activity’s impact on urban vegetation in China during the COVID-19 lockdown: An atypical anthropogenic disturbance. iScience. 28(4). 112195–112195. 1 indexed citations
5.
6.
Huang, Shaodong, Sai T. Chu, Yujie Li, et al.. (2025). Response of Spring Phenology to Pre-Seasonal Diurnal Warming in Deciduous Broad-Leaved Forests of Northern China. Forests. 16(4). 638–638.
7.
Hu, Haowen, Shaodong Huang, Nina Xiong, et al.. (2024). The impact of drought on forest spring phenology in northern China. Ecological Indicators. 170. 113022–113022. 2 indexed citations
8.
9.
Li, Yujie, et al.. (2024). Vegetation net primary productivity in urban areas of China responded positively to the COVID-19 lockdown in spring 2020. The Science of The Total Environment. 916. 169998–169998. 5 indexed citations
10.
Wang, Bao-Ying, et al.. (2024). Instance segmentation and stand-scale forest mapping based on UAV images derived RGB and CHM. Computers and Electronics in Agriculture. 220. 108878–108878. 5 indexed citations
11.
Huang, Shaodong, et al.. (2024). Temporal and Spatial Changes of Vegetation Phenology and Its Correlation With Net Primary Productivity in Northeast China From 2001 to 2022. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 1 indexed citations
12.
Zhang, Junping, Jia Wang, Yuhan Chen, Shaodong Huang, & Boyi Liang. (2024). Spatiotemporal variation and prediction of NPP in Beijing-Tianjin-Hebei region by coupling PLUS and CASA models. Ecological Informatics. 81. 102620–102620. 19 indexed citations
13.
Xu, Weiheng, Shaodong Huang, Fei Dai, et al.. (2022). The dynamics of tea plantation encroachment into forests and effect on forest landscape pattern during 1991–2021 through time series Landsat images. Ecological Indicators. 141. 109132–109132. 9 indexed citations
14.
Xu, Weiheng, et al.. (2022). Improved AlexNet and embedded multi-attention for remote sensing scene image classification. 2. 92–92. 1 indexed citations
15.
Xu, Weiheng, Ning Lu, Shaodong Huang, et al.. (2021). Assessment of spatial–temporal changes of ecological environment quality based on RSEI and GEE: A case study in Erhai Lake Basin, Yunnan province, China. Ecological Indicators. 125. 107518–107518. 249 indexed citations breakdown →
16.
Xu, Weiheng, Shaodong Huang, Chao Wu, et al.. (2020). The pruning phenological phase-based method for extracting tea plantations by field hyperspectral data and Landsat time series imagery. Geocarto International. 37(7). 2116–2136. 13 indexed citations
17.
Xu, Weiheng, Shaodong Huang, Chao Wu, et al.. (2020). Ecological environment quality assessment of Xishuangbanna rubber plantations expansion (1995–2018) based on multi-temporal Landsat imagery and RSEI. Geocarto International. 37(12). 3441–3468. 28 indexed citations
18.
Huang, Shaodong, L. Chung, K. Robert Lai, et al.. (2008). Holocene megafloods? Stories of the lacustrine strata along the Nyang River, Tibet. AGU Fall Meeting Abstracts. 2008. 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.

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