Bailing Li

3.1k total citations · 1 hit paper
30 papers, 1.7k citations indexed

About

Bailing Li is a scholar working on Oceanography, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Bailing Li has authored 30 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oceanography, 11 papers in Environmental Engineering and 10 papers in Global and Planetary Change. Recurrent topics in Bailing Li's work include Geophysics and Gravity Measurements (19 papers), Solar and Space Plasma Dynamics (9 papers) and Climate variability and models (9 papers). Bailing Li is often cited by papers focused on Geophysics and Gravity Measurements (19 papers), Solar and Space Plasma Dynamics (9 papers) and Climate variability and models (9 papers). Bailing Li collaborates with scholars based in United States, Belgium and Italy. Bailing Li's co-authors include Matthew Rodell, Benjamin F. Zaitchik, Rolf H. Reichle, Rasmus Houborg, Sujay V. Kumar, David M. Mocko, Tian‐Chyi Jim Yeh, C. D. Peters‐Lidard, H. K. Beaudoing and Randal D. Koster and has published in prestigious journals such as Scientific Reports, Journal of Climate and Water Resources Research.

In The Last Decade

Bailing Li

29 papers receiving 1.6k citations

Hit Papers

Changing intensity of hydroclimatic extreme events reveal... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bailing Li United States 17 806 740 519 498 288 30 1.7k
Wenting Yang China 7 530 0.7× 438 0.6× 438 0.8× 340 0.7× 258 0.9× 10 1.3k
Maike Schumacher Germany 18 1.0k 1.3× 582 0.8× 452 0.9× 231 0.5× 173 0.6× 49 1.6k
Eugene Yan United States 20 447 0.6× 435 0.6× 460 0.9× 383 0.8× 146 0.5× 46 1.4k
A. Milewski United States 24 462 0.6× 691 0.9× 549 1.1× 631 1.3× 363 1.3× 61 1.7k
Mehdi Khaki Australia 20 540 0.7× 500 0.7× 344 0.7× 232 0.5× 204 0.7× 44 1.1k
Zhiyong Huang China 14 628 0.8× 301 0.4× 275 0.5× 212 0.4× 109 0.4× 23 1.1k
Natthachet Tangdamrongsub United States 19 550 0.7× 299 0.4× 246 0.5× 240 0.5× 150 0.5× 51 911
Zhangli Sun China 9 516 0.6× 681 0.9× 326 0.6× 226 0.5× 339 1.2× 25 1.3k
A Geruo United States 12 838 1.0× 678 0.9× 270 0.5× 106 0.2× 398 1.4× 17 1.5k

Countries citing papers authored by Bailing Li

Since Specialization
Citations

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

Fields of papers citing papers by Bailing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bailing Li

This figure shows the co-authorship network connecting the top 25 collaborators of Bailing Li. A scholar is included among the top collaborators of Bailing Li 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 Bailing Li. Bailing Li 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.
Springer, Anne, Gabriëlle De Lannoy, Matthew Rodell, et al.. (2025). A Review of Current Best Practices and Future Directions in Assimilating GRACE/-FO Terrestrial Water Storage Data into Numerical Models. VBN Forskningsportal (Aalborg Universitet).
2.
Li, Bailing, Matthew Rodell, & Himanshu Save. (2025). Terrestrial water storage in 2024. Nature Reviews Earth & Environment. 6(4). 261–263. 1 indexed citations
3.
Li, Bailing & Matthew Rodell. (2024). Terrestrial water storage in 2023. Nature Reviews Earth & Environment. 5(4). 247–249. 5 indexed citations
5.
Li, Bailing & Matthew Rodell. (2023). How Have Hydrological Extremes Changed over the Past 20 Years?. Journal of Climate. 36(24). 8581–8599. 14 indexed citations
6.
Rodell, Matthew & Bailing Li. (2023). Changing intensity of hydroclimatic extreme events revealed by GRACE and GRACE-FO. Nature Water. 1(3). 241–248. 170 indexed citations breakdown →
7.
Li, Bailing, Matthew Rodell, C. D. Peters‐Lidard, et al.. (2020). Groundwater Recharge Estimated by Land Surface Models: An Evaluation in the Conterminous United States. Journal of Hydrometeorology. 22(2). 499–522. 15 indexed citations
8.
Li, Bailing, Matthew Rodell, Justin Sheffield, Eric F. Wood, & Edwin H. Sutanudjaja. (2019). Long-term, non-anthropogenic groundwater storage changes simulated by three global-scale hydrological models. Scientific Reports. 9(1). 10746–10746. 75 indexed citations
9.
Nie, Wanshu, Benjamin F. Zaitchik, Matthew Rodell, et al.. (2019). Assimilating GRACE Into a Land Surface Model in the Presence of an Irrigation‐Induced Groundwater Trend. Water Resources Research. 55(12). 11274–11294. 57 indexed citations
10.
Arsenault, Kristi R., Sujay V. Kumar, Shugong Wang, et al.. (2018). The Land surface Data Toolkit (LDT v7.2) – a data fusion environment for land data assimilation systems. Geoscientific model development. 11(9). 3605–3621. 45 indexed citations
11.
Li, Bailing, Matthew Rodell, Justin Sheffield, & Eric F. Wood. (2017). Long term, non-anthropogenic groundwater storage changes simulated by a global land surface model. 2017. 1 indexed citations
12.
Arsenault, Kristi R., Sujay V. Kumar, Shugong Wang, et al.. (2017). The Land surface Data Toolkit (LDT). Figshare. 1 indexed citations
13.
Bhanja, Soumendra N., Matthew Rodell, Bailing Li, Dipankar Saha, & Abhijit Mukherjee. (2016). Spatio-temporal variability of groundwater storage in India. Journal of Hydrology. 544. 428–437. 44 indexed citations
14.
Kumar, Sujay V., Benjamin F. Zaitchik, C. D. Peters‐Lidard, et al.. (2016). Assimilation of Gridded GRACE Terrestrial Water Storage Estimates in the North American Land Data Assimilation System. Journal of Hydrometeorology. 17(7). 1951–1972. 141 indexed citations
15.
Li, Bailing, Matthew Rodell, & J. S. Famiglietti. (2015). Groundwater variability across temporal and spatial scales in the central and northeastern U.S.. Journal of Hydrology. 525. 769–780. 30 indexed citations
16.
Reager, J. T., Eric A. Sproles, Matthew Rodell, et al.. (2015). Assimilation of GRACE Terrestrial Water Storage Observations into a Land Surface Model for the Assessment of Regional Flood Potential. Remote Sensing. 7(11). 14663–14679. 72 indexed citations
17.
Li, Bailing & Matthew Rodell. (2013). Spatial variability and its scale dependency of observed and modeled soil moisture over different climate regions. Hydrology and earth system sciences. 17(3). 1177–1188. 67 indexed citations
18.
Houborg, Rasmus, Matthew Rodell, Bailing Li, Rolf H. Reichle, & Benjamin F. Zaitchik. (2012). Drought indicators based on model‐assimilated Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage observations. Water Resources Research. 48(7). 324 indexed citations
19.
Li, Bailing, Matthew Rodell, Benjamin F. Zaitchik, et al.. (2012). Assimilation of GRACE terrestrial water storage into a land surface model: Evaluation and potential value for drought monitoring in western and central Europe. Journal of Hydrology. 446-447. 103–115. 157 indexed citations
20.
Li, Bailing & Tian‐Chyi Jim Yeh. (1999). Cokriging estimation of the conductivity field under variably saturated flow conditions. Water Resources Research. 35(12). 3663–3674. 64 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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