C. K. Shum

17.7k total citations · 3 hit papers
380 papers, 10.4k citations indexed

About

C. K. Shum is a scholar working on Oceanography, Aerospace Engineering and Global and Planetary Change. According to data from OpenAlex, C. K. Shum has authored 380 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 263 papers in Oceanography, 106 papers in Aerospace Engineering and 92 papers in Global and Planetary Change. Recurrent topics in C. K. Shum's work include Geophysics and Gravity Measurements (238 papers), GNSS positioning and interference (72 papers) and Oceanographic and Atmospheric Processes (64 papers). C. K. Shum is often cited by papers focused on Geophysics and Gravity Measurements (238 papers), GNSS positioning and interference (72 papers) and Oceanographic and Atmospheric Processes (64 papers). C. K. Shum collaborates with scholars based in United States, China and Taiwan. C. K. Shum's co-authors include B. D. Tapley, Shin‐Chan Han, Chung‐Yen Kuo, Hyongki Lee, Christopher Jekeli, Yuchan Yi, R. J. Eanes, Guoqing Zhang, Kun Yang and Tandong Yao and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

C. K. Shum

364 papers receiving 9.7k citations

Hit Papers

Response of Tibetan Plateau lakes to climate change: Tren... 2017 2026 2020 2023 2020 2017 2018 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
C. K. Shum United States 51 5.7k 3.1k 2.6k 2.2k 1.7k 380 10.4k
Anny Cazenave France 56 6.3k 1.1× 4.3k 1.4× 3.3k 1.3× 1.1k 0.5× 1.1k 0.7× 196 11.3k
Jianli Chen United States 51 6.7k 1.2× 2.2k 0.7× 1.4k 0.5× 2.2k 1.0× 2.6k 1.5× 189 8.7k
Sean Swenson United States 48 8.0k 1.4× 6.3k 2.1× 4.4k 1.7× 2.6k 1.2× 2.8k 1.6× 86 15.8k
Andreas Güntner Germany 48 2.5k 0.4× 1.9k 0.6× 1.2k 0.5× 921 0.4× 897 0.5× 157 5.7k
D. P. Chambers United States 44 6.0k 1.0× 3.0k 1.0× 2.1k 0.8× 1.2k 0.6× 1.3k 0.7× 127 7.3k
B. D. Tapley United States 59 11.4k 2.0× 3.0k 1.0× 2.2k 0.9× 5.1k 2.4× 4.8k 2.8× 279 15.1k
Clark R. Wilson United States 39 4.6k 0.8× 1.5k 0.5× 968 0.4× 1.4k 0.7× 1.8k 1.0× 131 5.8k
Ole Andersen Denmark 43 4.0k 0.7× 1.6k 0.5× 1.3k 0.5× 852 0.4× 482 0.3× 277 6.6k
John Wahr United States 67 13.7k 2.4× 3.4k 1.1× 6.0k 2.3× 4.6k 2.1× 5.0k 2.9× 205 19.6k
M. M. Watkins United States 29 7.8k 1.4× 1.6k 0.5× 1.3k 0.5× 5.1k 2.4× 5.3k 3.1× 94 11.8k

Countries citing papers authored by C. K. Shum

Since Specialization
Citations

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

Fields of papers citing papers by C. K. Shum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. K. Shum. 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 C. K. Shum. The network helps show where C. K. Shum may publish in the future.

Co-authorship network of co-authors of C. K. Shum

This figure shows the co-authorship network connecting the top 25 collaborators of C. K. Shum. A scholar is included among the top collaborators of C. K. Shum 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 C. K. Shum. C. K. Shum 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.
Mark, Bryan G., et al.. (2025). Localized environmental variability within the Hindukush-Himalayan region of Pakistan. Environmental Earth Sciences. 84(4).
2.
Akyılmaz, Orhan, et al.. (2024). High-resolution temporal gravity field data products: Monthly mass grids and spherical harmonics from 1994 to 2021. Scientific Data. 11(1). 71–71. 5 indexed citations
3.
Montillet, Jean‐Philippe, Gaël Kermarrec, Ehsan Forootan, et al.. (2024). How Big Data Can Help to Monitor the Environment and to Mitigate Risks due to Climate Change: A review. IEEE Geoscience and Remote Sensing Magazine. 12(2). 67–89. 14 indexed citations
4.
Shum, C. K., Ehsan Forootan, Wei Feng, et al.. (2022). Understanding Water Level Changes in the Great Lakes by an ICA-Based Merging of Multi-Mission Altimetry Measurements. Remote Sensing. 14(20). 5194–5194. 2 indexed citations
5.
Pan, Yuanjin, et al.. (2022). Spatially heterogeneous nonlinear signal in Antarctic ice-sheet mass loss revealed by GRACE and GPS. Geophysical Journal International. 233(2). 826–838. 8 indexed citations
6.
Shin, Young Hong, C. K. Shum, Carla Braitenberg, et al.. (2022). Decoupled Lithospheric Folding, Lower Crustal Flow Channels, and the Growth of Tibetan Plateau. Geophysical Research Letters. 49(13). 7 indexed citations
7.
Pan, Yuanjin, et al.. (2022). Intradecadal Fluctuations and Three‐Dimensional Crustal Kinematic Deformation of the Tianshan and Pamir Derived From Multi‐Geodetic Imaging. Journal of Geophysical Research Solid Earth. 128(1). 10 indexed citations
8.
Pan, Yuanjin, Hao Ding, Jiangtao Li, et al.. (2022). Transient hydrology-induced elastic deformation and land subsidence in Australia constrained by contemporary geodetic measurements. Earth and Planetary Science Letters. 588. 117556–117556. 18 indexed citations
10.
Jin, Taoyong, et al.. (2020). The Balance and Abnormal Increase of Global Ocean Mass Change From Land Using GRACE. Earth and Space Science. 7(5). 5 indexed citations
11.
Encarnação, J., Pieter Visser, Daniel Arnold, et al.. (2020). Description of the multi-approach gravity field models from Swarm GPS data. Earth system science data. 12(2). 1385–1417. 42 indexed citations
12.
Forootan, Ehsan, Mehdi Khaki, Maike Schumacher, et al.. (2018). Understanding the global hydrological droughts of 2003–2016 and their relationships with teleconnections. The Science of The Total Environment. 650(Pt 2). 2587–2604. 170 indexed citations
13.
Kuo, Chung‐Yen, et al.. (2017). Impact of Geophysical and Datum Corrections on Absolute Sea-Level Trends from Tide Gauges around Taiwan, 1993–2015. Water. 9(7). 480–480. 12 indexed citations
14.
Su, Xiaoli, C. K. Shum, Junyi Guo, et al.. (2017). High-Resolution Interannual Mass Anomalies of the Antarctic Ice Sheet by Combining GRACE Gravimetry and ENVISAT Altimetry. IEEE Transactions on Geoscience and Remote Sensing. 56(1). 539–546. 8 indexed citations
15.
Forootan, Ehsan, Jürgen Kusche, Matthieu Talpe, C. K. Shum, & Michael Schmidt. (2017). Developing a Complex Independent Component Analysis (CICA) Technique to Extract Non-stationary Patterns from Geophysical Time Series. Surveys in Geophysics. 39(3). 435–465. 16 indexed citations
16.
Tseng, Kuo‐Hsin, Chung-Pai Chang, C. K. Shum, et al.. (2016). Quantifying Freshwater Mass Balance in the Central Tibetan Plateau by Integrating Satellite Remote Sensing, Altimetry, and Gravimetry. Remote Sensing. 8(6). 441–441. 12 indexed citations
17.
Cazenave, Anny, D. P. Chambers, Paolo Cipollini, et al.. (2010). The challenge for measuring sea level rise and regional and global trends. ePrints Soton (University of Southampton). 3 indexed citations
18.
Shum, C. K., et al.. (2009). Quantifying Geophysical Causes of Present-Day Sea Level Rise. AGU Fall Meeting Abstracts. 2009.
19.
Ballu, Valérie, et al.. (2004). Absolute local sea surface in the Vanuatu Archipelago from GPS, satellite altimetry and pressure gauge data. AGUFM. 2004. 1 indexed citations
20.
Christensen, E. J., Bruce Haines, S. J. Keihm, et al.. (1994). Calibration of TOPEX/POSEIDON at Platform Harvest. Journal of Geophysical Research Atmospheres. 99(C12). 24465–24485. 93 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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