Boyi Liang

754 total citations
47 papers, 505 citations indexed

About

Boyi Liang is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Boyi Liang has authored 47 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Global and Planetary Change, 26 papers in Ecology and 17 papers in Atmospheric Science. Recurrent topics in Boyi Liang's work include Plant Water Relations and Carbon Dynamics (25 papers), Remote Sensing in Agriculture (22 papers) and Tree-ring climate responses (12 papers). Boyi Liang is often cited by papers focused on Plant Water Relations and Carbon Dynamics (25 papers), Remote Sensing in Agriculture (22 papers) and Tree-ring climate responses (12 papers). Boyi Liang collaborates with scholars based in China, United Kingdom and Sweden. Boyi Liang's co-authors include Hongyan Liu, Elizabeth L. Cressey, Jia Wang, Wang Zong, Nina Xiong, Junping Zhang, Lu Wu, Liang Shi, Chongyang Xu and Xinrong Zhu and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Geophysical Research Letters.

In The Last Decade

Boyi Liang

45 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boyi Liang China 12 316 153 138 79 71 47 505
Deyong Yu China 11 390 1.2× 203 1.3× 91 0.7× 52 0.7× 94 1.3× 24 525
Shu Fang China 9 391 1.2× 151 1.0× 93 0.7× 47 0.6× 53 0.7× 21 534
Ziqiang Du China 12 321 1.0× 184 1.2× 90 0.7× 56 0.7× 65 0.9× 34 445
Liuxi Tian China 4 319 1.0× 210 1.4× 117 0.8× 65 0.8× 49 0.7× 5 448
Kai Zheng China 10 337 1.1× 280 1.8× 110 0.8× 71 0.9× 67 0.9× 18 487
Panxing He China 13 402 1.3× 119 0.8× 128 0.9× 38 0.5× 97 1.4× 42 552
Tertsea Igbawua Nigeria 13 413 1.3× 165 1.1× 135 1.0× 37 0.5× 92 1.3× 30 613
Багила Майсупова Kazakhstan 10 371 1.2× 168 1.1× 198 1.4× 109 1.4× 49 0.7× 20 522
Shan Yin China 12 377 1.2× 233 1.5× 157 1.1× 51 0.6× 88 1.2× 34 524

Countries citing papers authored by Boyi Liang

Since Specialization
Citations

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

Fields of papers citing papers by Boyi Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boyi Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Boyi Liang. A scholar is included among the top collaborators of Boyi Liang 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 Boyi Liang. Boyi Liang 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
1.
2.
Wang, Zhichao, et al.. (2025). A lightweight spatiotemporal classification framework for tree species with entropy-based change resistance filter using satellite imagery. International Journal of Applied Earth Observation and Geoinformation. 138. 104449–104449. 2 indexed citations
3.
Liu, Hongyan, Hongya Wang, Shucheng Xie, et al.. (2024). Millennial changes and cooling trends in land surface warm-season temperatures during the Holocene. Science Bulletin. 69(18). 2930–2937. 3 indexed citations
4.
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
5.
Liu, Hongyan, et al.. (2024). Will large-scale forestation lead to a soil water deficit crisis in China's drylands?. Science Bulletin. 69(10). 1506–1514. 34 indexed citations
6.
Liu, Hongyan, Liang Shi, Xianliang Zhang, et al.. (2024). Water use strategies determine divergent growth trends of spruce and juniper on the southeastern Tibetan plateau. Forest Ecosystems. 11. 100248–100248. 2 indexed citations
7.
Liu, Hongyan, Kristina Seftigen, Deliang Chen, et al.. (2024). Historical Soil Moisture Variability in High‐Latitude Humid Regions: Insights From a Paleoclimate Data‐Model Comparison. Earth s Future. 12(5). 2 indexed citations
8.
Shi, Liang, Hongyan Liu, Lu Wang, et al.. (2023). Transitional responses of tree growth to climate warming at the southernmost margin of high latitudinal permafrost distribution. The Science of The Total Environment. 908. 168503–168503. 6 indexed citations
9.
Xia, Jiangzhou, Xiaosheng Xia, Chen Yang, et al.. (2023). Reconstructing Long‐Term Forest Age of China by Combining Forest Inventories, Satellite‐Based Forest Age and Forest Cover Data Sets. Journal of Geophysical Research Biogeosciences. 128(7). 10 indexed citations
10.
Chen, Yuhan, et al.. (2023). Wetland vegetation changes in response to climate change and human activities on the Tibetan Plateau during 2000–2015. Frontiers in Ecology and Evolution. 11. 10 indexed citations
11.
Liang, Boyi, Hongyan Liu, Elizabeth L. Cressey, et al.. (2023). Uncertainty of Partial Dependence Relationship between Climate and Vegetation Growth Calculated by Machine Learning Models. Remote Sensing. 15(11). 2920–2920. 11 indexed citations
12.
Li, Hao, Zhongke Feng, Boyi Liang, et al.. (2023). Extracting Citrus in Southern China (Guangxi Region) Based on the Improved DeepLabV3+ Network. Remote Sensing. 15(23). 5614–5614. 9 indexed citations
13.
Cao, Jing, Hongyan Liu, Bo Zhao, et al.. (2023). Nitrogen addition enhances tree radial growth but weakens its recovery from drought impact in a temperate forest in northern China. The Science of The Total Environment. 903. 166884–166884. 4 indexed citations
14.
Yang, Qi, Jingjing Zhang, Feng Liu, et al.. (2023). No single factor can explain the low regeneration of patchy coniferous plantations in northern China. Landscape Ecology. 38(12). 3973–3984. 2 indexed citations
15.
Liu, Feng, Hongyan Liu, Wulahati Adalibieke, et al.. (2023). Decline in stability of forest productivity in the tropics as determined by canopy water content. iScience. 26(7). 107211–107211. 3 indexed citations
16.
Liang, Boyi, Hongyan Liu, Shaopeng Wang, et al.. (2023). Model bias in calculating factor importance of climate on vegetation growth. Global and Planetary Change. 228. 104209–104209. 2 indexed citations
17.
Liu, Hongyan, Shushi Peng, Jingyu Dai, et al.. (2022). Will drought exacerbate the decline in the sustainability of plantation forests relative to natural forests?. Land Degradation and Development. 34(4). 1067–1079. 4 indexed citations
18.
Liu, Hongyan, Deliang Chen, Peng Zhang, et al.. (2022). The 1820s Marks a Shift to Hotter‐Drier Summers in Western Europe Since 1360. Geophysical Research Letters. 49(15). 7 indexed citations
19.
Wu, Lu, Hongyan Liu, Boyi Liang, et al.. (2021). A process-based model reveals the restoration gap of degraded grasslands in Inner Mongolian steppe. The Science of The Total Environment. 806(Pt 3). 151324–151324. 9 indexed citations
20.
Chen, Xiaoqiu, et al.. (2017). Temporal coherence of phenological and climatic rhythmicity in Beijing. International Journal of Biometeorology. 61(10). 1733–1748. 7 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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