Hua Su

3.7k total citations · 1 hit paper
98 papers, 2.5k citations indexed

About

Hua Su is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Hua Su has authored 98 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Atmospheric Science, 32 papers in Global and Planetary Change and 26 papers in Oceanography. Recurrent topics in Hua Su's work include Oceanographic and Atmospheric Processes (20 papers), Climate variability and models (19 papers) and Arctic and Antarctic ice dynamics (16 papers). Hua Su is often cited by papers focused on Oceanographic and Atmospheric Processes (20 papers), Climate variability and models (19 papers) and Arctic and Antarctic ice dynamics (16 papers). Hua Su collaborates with scholars based in China, United States and United Kingdom. Hua Su's co-authors include Zong‐Liang Yang, Xiao‐Hai Yan, Guo‐Yue Niu, Robert E. Dickinson, Lindsey E. Gulden, Wenfang Lu, Yunpeng Wang, Xin Yang, Jiangfeng Wei and Wenting Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and The Science of The Total Environment.

In The Last Decade

Hua Su

91 papers receiving 2.4k citations

Hit Papers

Development of a simple groundwater model for use in clim... 2007 2026 2013 2019 2007 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hua Su China 27 1.0k 962 881 517 459 98 2.5k
Jie Zhang China 25 393 0.4× 572 0.6× 1.1k 1.3× 320 0.6× 116 0.3× 265 2.9k
Cédric H. David United States 25 1.4k 1.3× 561 0.6× 358 0.4× 491 0.9× 1.4k 3.0× 87 2.3k
Christopher E. Ndehedehe Australia 27 1.1k 1.0× 315 0.3× 639 0.7× 354 0.7× 628 1.4× 102 2.1k
Martin Verlaan Netherlands 24 1.6k 1.5× 2.0k 2.1× 1.3k 1.5× 276 0.5× 208 0.5× 96 3.2k
Rodrigo Abarca-del-Río Chile 16 920 0.9× 403 0.4× 612 0.7× 286 0.6× 582 1.3× 53 1.7k
Michael Kühn Australia 35 928 0.9× 726 0.8× 2.0k 2.3× 399 0.8× 399 0.9× 124 3.5k
Ehsan Forootan Germany 38 1.4k 1.3× 538 0.6× 2.2k 2.5× 446 0.9× 681 1.5× 115 3.6k
Jing Tang China 26 795 0.8× 766 0.8× 535 0.6× 239 0.5× 486 1.1× 97 2.6k
Xiao‐Hai Yan United States 35 1.4k 1.4× 1.5k 1.6× 3.2k 3.6× 317 0.6× 177 0.4× 153 4.2k
António M. Baptista United States 32 733 0.7× 960 1.0× 1.7k 1.9× 180 0.3× 238 0.5× 120 3.7k

Countries citing papers authored by Hua Su

Since Specialization
Citations

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

Fields of papers citing papers by Hua Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Su

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Su. A scholar is included among the top collaborators of Hua Su 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 Hua Su. Hua Su 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.
Bao, Senliang, et al.. (2025). Daily Subsurface Salinity Reconstruction From Multisource Satellite Observations Using Wavelet-Enhanced 3-D Mamba. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 19. 3371–3388.
2.
Li, Mengmeng, et al.. (2025). TDFNet: twice decoding V-Mamba-CNN Fusion features for building extraction. Geo-spatial Information Science. 29(1). 19–38.
3.
Chen, Chen, Ying Li, Wei Wei, et al.. (2024). A precise microdissection strategy enabled spatial heterogeneity analysis on the targeted region of formalin-fixed paraffin-embedded tissues. Talanta. 278. 126501–126501. 1 indexed citations
4.
Hong, Wen-Jun, et al.. (2024). SeaIceNet: Sea Ice Recognition via Global-Local Transformer in Optical Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 2 indexed citations
5.
Xu, Weiming, Shiyu Yang, Juan Wang, et al.. (2024). A Hierarchical Graph-Enhanced Transformer Network for Remote Sensing Scene Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 20315–20330. 4 indexed citations
6.
Chen, Chunpeng, et al.. (2024). Tracking the 2D/3D Morphological Changes of Tidal Flats Using Time Series Remote Sensing Data in Northern China. Remote Sensing. 16(5). 886–886. 3 indexed citations
7.
Wu, Wenting, Min Zhang, Chunpeng Chen, et al.. (2023). Coastal reclamation shaped narrower and steeper tidal flats in Fujian, China: Evidence from time-series satellite data. Ocean & Coastal Management. 247. 106933–106933. 10 indexed citations
8.
Su, Hua, et al.. (2023). Optimization design method of compliant cylindrical intershaft gas film seal using grasshopper optimization algorithm. Journal of Advanced Mechanical Design Systems and Manufacturing. 17(6). JAMDSM0072–JAMDSM0072. 1 indexed citations
9.
Wu, Bo, et al.. (2019). Research on remote sensing drought monitoring by considering spatial non-stationary characteristics. National Remote Sensing Bulletin. 23(3). 487–500. 2 indexed citations
10.
Su, Hua. (2013). The Analysis and Discussions on the Chronological Frame of Jinshajiang River Valley-drainage. Journal of Mountain Science. 4 indexed citations
11.
Su, Hua, et al.. (2012). R/S analysis of China securities markets. Tsinghua Science & Technology. 8(5). 537–540. 6 indexed citations
12.
Su, Hua, et al.. (2012). Effects of groundwater decline on photosynthetic characteristics and stress tolerance of Ulmus pumila in Hunshandake Sandy Land,China. 36(3). 177–186. 2 indexed citations
13.
Su, Hua. (2010). Progress of the Supply of Urban Public Service Facilities in Western Countries and Its Enlightenment to China. Tropical Geography. 1 indexed citations
14.
Guo-zhong, YU, et al.. (2009). Effects of the functions of Nanwan Reservoir on water qualities.. 22(1). 84–87. 1 indexed citations
15.
Su, Hua, et al.. (2006). An intelligent instrument for measuring exhaust temperature of marine engine. Journal of Marine Science and Application. 5(4). 27–32. 1 indexed citations
16.
Su, Hua, R. Hsu, C. L. Kuo, et al.. (2005). Blue jets, blue starters and other blue luminous events observed by ISUAL payload on the FORMOSAT-2 satellite. AGU Fall Meeting Abstracts. 2005. 2 indexed citations
17.
Su, Hua. (2005). Dynamic of the Bird Distribution Status in Winter along the Changjiang River of the Three Gorges Reservoir before and after the Water Level Rising to 139 m. Dongwuxue zazhi. 1 indexed citations
18.
Hsu, R., Chien‐Nan Kuo, Hua Su, et al.. (2005). Gigantic jet observation by the ISUAL payload of FORMOSAT-2 satellite. AGUFM. 2005. 10 indexed citations
19.
Su, Hua. (2000). Status of Chinese cranes and their conservation strategies. 3 indexed citations
20.
Su, Hua & Wenxia Li. (1996). Packing dimension of generalized Moran sets. 自然科学进展(英文版). 28 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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