Junhu Dai

5.9k total citations · 1 hit paper
114 papers, 4.4k citations indexed

About

Junhu Dai is a scholar working on Global and Planetary Change, Ecology and Ecological Modeling. According to data from OpenAlex, Junhu Dai has authored 114 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Global and Planetary Change, 62 papers in Ecology and 48 papers in Ecological Modeling. Recurrent topics in Junhu Dai's work include Remote Sensing in Agriculture (61 papers), Species Distribution and Climate Change (48 papers) and Plant Water Relations and Carbon Dynamics (39 papers). Junhu Dai is often cited by papers focused on Remote Sensing in Agriculture (61 papers), Species Distribution and Climate Change (48 papers) and Plant Water Relations and Carbon Dynamics (39 papers). Junhu Dai collaborates with scholars based in China, Pakistan and United States. Junhu Dai's co-authors include Quansheng Ge, Huanjiong Wang, Yongshuo H. Fu, Anping Chen, Qiang Liu, Xiaolin Zhu, Lingli Liu, Shilong Piao, Miaogen Shen and Xu Lian and has published in prestigious journals such as Nature Communications, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Junhu Dai

110 papers receiving 4.2k citations

Hit Papers

align trajectories

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.

Plant phenology and global climate change: Current progresses and challenges

2019 1.3k citations Yongshuo H. Fu, Junhu Dai et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junhu Dai China	29	2.4k	2.1k	1.2k	1.2k	843	114	4.4k
Constantin M. Zohner Switzerland	26	2.3k 1.0×	1.3k 0.6×	714 0.6×	683 0.6×	694 0.8×	63	4.0k
Hans J. De Boeck Belgium	35	2.4k 1.0×	1.3k 0.7×	622 0.5×	1.3k 1.1×	661 0.8×	97	4.3k
Hiroyuki Muraoka Japan	33	1.9k 0.8×	1.6k 0.8×	569 0.5×	963 0.8×	353 0.4×	105	3.3k
John O’Keefe United States	16	2.4k 1.0×	2.1k 1.0×	1.2k 1.0×	666 0.6×	352 0.4×	24	3.5k
Jan Wild Czechia	31	2.1k 0.9×	1.4k 0.7×	613 0.5×	1.2k 1.0×	943 1.1×	78	4.8k
Andreas Hemp Germany	34	1.1k 0.5×	1.3k 0.7×	805 0.7×	961 0.8×	1.8k 2.2×	120	4.8k
Heikki Hänninen China	34	3.0k 1.3×	1.4k 0.7×	914 0.8×	1.8k 1.5×	728 0.9×	103	5.0k
Nicolas Delpierre France	27	2.2k 0.9×	1.6k 0.8×	714 0.6×	705 0.6×	259 0.3×	60	3.1k
Koen Hufkens United States	32	2.7k 1.2×	2.9k 1.4×	1.5k 1.2×	664 0.6×	348 0.4×	67	4.6k
Sean T. Michaletz United States	33	2.0k 0.9×	1.3k 0.6×	393 0.3×	1.1k 0.9×	583 0.7×	71	3.8k

Countries citing papers authored by Junhu Dai

Since Specialization

Citations

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

Fields of papers citing papers by Junhu Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junhu Dai

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

All Works

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20 of 20 papers shown

Wang, Huanjiong, et al.. (2024). Controlled experiments fail to capture plant phenological response to chilling temperature. Global Ecology and Biogeography. 33(10). 1 indexed citations

Wang, Huanjiong, et al.. (2024). Interpreting the influences of multiple factors on forcing requirements of leaf unfolding date by explainable machine learning algorithms. Ecological Indicators. 166. 112402–112402.

Cao, Lijuan, et al.. (2024). Shifts in Plant Phenology and Its Responses to Climate Warming in Three Temperate Cities of China during 1963–2020. Forests. 15(10). 1712–1712.

Shahzad, Khurram, et al.. (2024). Phylogenetic conservation in plant phenological traits varies between temperate and subtropical climates in China. Frontiers in Plant Science. 15. 1367152–1367152. 5 indexed citations

Guo, Liang, Xiaowei Liu, Juha M. Alatalo, et al.. (2023). Climatic drivers and ecological implications of variation in the time interval between leaf-out and flowering. Current Biology. 33(16). 3338–3349.e3. 17 indexed citations

Wang, Huanjiong, et al.. (2023). Changes in peak greenness timing and senescence duration codetermine the responses of leaf senescence date to drought over Mongolian grassland. Agricultural and Forest Meteorology. 345. 109869–109869. 6 indexed citations

Chang, Fan, Jilin Yang, Guosong Zhao, et al.. (2023). Mapping Phenology of Complicated Wetland Landscapes through Harmonizing Landsat and Sentinel-2 Imagery. Remote Sensing. 15(9). 2413–2413. 6 indexed citations

Zhao, Guosong, Jinwei Dong, Jilin Yang, et al.. (2023). Cropland expansion delays vegetation spring phenology according to satellite and in-situ observations. Agriculture Ecosystems & Environment. 356. 108651–108651. 9 indexed citations

Yang, Jilin, Jinwei Dong, Luo Liu, et al.. (2023). A robust and unified land surface phenology algorithm for diverse biomes and growth cycles in China by using harmonized Landsat and Sentinel-2 imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 202. 610–636. 13 indexed citations

10.

Vitasse, Yann, Frederik Baumgarten, Constantin M. Zohner, et al.. (2022). The great acceleration of plant phenological shifts. Nature Climate Change. 12(4). 300–302. 76 indexed citations

11.

Ferrarini, Alessandro, Yang Bai, Junhu Dai, & Juha M. Alatalo. (2021). A new method for broad‐scale modeling and projection of plant assemblages under climatic, biotic, and environmental cofiltering. Conservation Biology. 36(2). 2 indexed citations

12.

Alatalo, Juha M., Annika K. Jägerbrand, Junhu Dai, et al.. (2021). Effects of ambient climate and three warming treatments on fruit production in an alpine, subarctic meadow community. American Journal of Botany. 108(3). 411–422. 16 indexed citations

13.

Dai, Junhu, et al.. (2020). Phenological changes of desert steppe vegetation and its effect on net primary productivity in Inner Mongolia from 2000 to 2017. 地理科学进展. 39(1). 24–35. 7 indexed citations

14.

Wang, Huanjiong, Chaoyang Wu, Philippe Ciais, et al.. (2020). Overestimation of the effect of climatic warming on spring phenology due to misrepresentation of chilling. Nature Communications. 11(1). 4945–4945. 123 indexed citations

15.

Tao, Shu, Xiao Yun, Wei Du, et al.. (2019). Indoor PM_2.5 Profiling with a Novel Side-Scatter Indoor Lidar. Environmental Science & Technology Letters. 6(10). 612–616. 18 indexed citations

16.

Wang, Huanjiong, Junhu Dai, This Rutishauser, et al.. (2018). Trends and Variability in Temperature Sensitivity of Lilac Flowering Phenology. Journal of Geophysical Research Biogeosciences. 123(3). 807–817. 15 indexed citations

17.

Ferrarini, Alessandro, Mohammed Alsafran, Junhu Dai, & Juha M. Alatalo. (2018). Improving niche projections of plant species under climate change: Silene acaulis on the British Isles as a case study. Climate Dynamics. 52(3-4). 1413–1423. 17 indexed citations

18.

Wang, Huanjiong, Quansheng Ge, Junhu Dai, & Zexing Tao. (2014). Geographical pattern in first bloom variability and its relation to temperature sensitivity in the USA and China. International Journal of Biometeorology. 59(8). 961–969. 41 indexed citations

19.

Shedd, William, Ray Boswell, T. S. Collett, et al.. (2009). Gulf of Mexico Gas Hydrate Joint Industry Project Leg II: Results from the Walker Ridge 313 Site. AGU Fall Meeting Abstracts. 2009. 4 indexed citations

20.

Ge, Quansheng, et al.. (2004). Spatiotemporal dynamics of reclamation and cultivation and its driving factors in parts of China during the last three centuries*. Progress in Natural Science Materials International. 14(7). 605–613. 49 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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