Zeli Tan

2.6k total citations
55 papers, 1.0k citations indexed

About

Zeli Tan is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Zeli Tan has authored 55 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Global and Planetary Change, 26 papers in Atmospheric Science and 19 papers in Water Science and Technology. Recurrent topics in Zeli Tan's work include Hydrology and Watershed Management Studies (18 papers), Soil erosion and sediment transport (12 papers) and Flood Risk Assessment and Management (12 papers). Zeli Tan is often cited by papers focused on Hydrology and Watershed Management Studies (18 papers), Soil erosion and sediment transport (12 papers) and Flood Risk Assessment and Management (12 papers). Zeli Tan collaborates with scholars based in United States, Sweden and Canada. Zeli Tan's co-authors include Qianlai Zhuang, L. Ruby Leung, Hong‐Yi Li, Katey Walter Anthony, T. K. Tesfa, Dongyu Feng, Huaxia Yao, Qizhi He, Donghui Xu and Narasinha Shurpali and has published in prestigious journals such as Nature Communications, Water Resources Research and Geophysical Research Letters.

In The Last Decade

Zeli Tan

49 papers receiving 984 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zeli Tan United States 20 519 394 257 254 219 55 1.0k
Congsheng Fu China 22 606 1.2× 392 1.0× 159 0.6× 551 2.2× 153 0.7× 76 1.2k
Z. M. Subin United States 14 861 1.7× 663 1.7× 286 1.1× 260 1.0× 423 1.9× 18 1.5k
Lijuan Wen China 24 794 1.5× 921 2.3× 105 0.4× 269 1.1× 242 1.1× 63 1.6k
Soni M. Pradhanang United States 20 593 1.1× 363 0.9× 239 0.9× 716 2.8× 150 0.7× 55 1.3k
Qian Ma China 16 314 0.6× 252 0.6× 106 0.4× 152 0.6× 152 0.7× 46 793
Yuedong Guo China 16 274 0.5× 189 0.5× 103 0.4× 101 0.4× 357 1.6× 37 786
Sara Knox United States 25 1.1k 2.1× 402 1.0× 179 0.7× 237 0.9× 994 4.5× 49 1.8k
Binghao Jia China 22 749 1.4× 615 1.6× 74 0.3× 437 1.7× 119 0.5× 90 1.5k
Pierre‐Alain Danis France 16 369 0.7× 400 1.0× 211 0.8× 219 0.9× 180 0.8× 23 895
Ude Shankar New Zealand 16 328 0.6× 115 0.3× 293 1.1× 530 2.1× 384 1.8× 44 1.1k

Countries citing papers authored by Zeli Tan

Since Specialization
Citations

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

Fields of papers citing papers by Zeli Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeli Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Zeli Tan. A scholar is included among the top collaborators of Zeli Tan 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 Zeli Tan. Zeli Tan 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.
Gao, Ge, Ziti Jiao, Chenxia Wang, et al.. (2025). A Phenologically Simplified Two-Stage Clumping Index Product Derived from the 8-Day Global MODIS-CI Product Suite. Remote Sensing. 17(2). 233–233.
2.
Feng, Dongyu, Zeli Tan, Donghui Xu, et al.. (2025). Drivers and impacts of sediment deposition in Amazonian floodplains. Nature Communications. 16(1). 3148–3148. 5 indexed citations
3.
Jones, Edward R., Rens van Beek, Peter Burek, et al.. (2025). A multi-model assessment of global freshwater temperature and thermoelectric power supply under climate change. IIASA PURE (International Institute of Applied Systems Analysis). 1(2). 25002–25002.
4.
Tran, Hoang, Tian Zhou, Zeli Tan, Yilin Fang, & L. Ruby Leung. (2025). Improving the prediction of daily reservoir releases over the CONUS using conditioned LSTM. Journal of Hydrology. 661. 133750–133750. 3 indexed citations
5.
Tan, Zeli, Huaxia Yao, John M. Mélack, et al.. (2024). A Lake Biogeochemistry Model for Global Methane Emissions: Model Development, Site‐Level Validation, and Global Applicability. Journal of Advances in Modeling Earth Systems. 16(10). 3 indexed citations
6.
Xu, Donghui, Gautam Bisht, Zeli Tan, et al.. (2024). Climate change will reduce North American inland wetland areas and disrupt their seasonal regimes. Nature Communications. 15(1). 23 indexed citations
7.
Fuente, Sofia La, Eleanor Jennings, John D. Lenters, et al.. (2024). Ensemble modeling of global lake evaporation under climate change. Journal of Hydrology. 631. 130647–130647. 12 indexed citations
8.
Xu, Donghui, Gautam Bisht, Dongyu Feng, et al.. (2024). Impacts of Sea‐Level Rise on Coastal Groundwater Table Simulated by an Earth System Model With a Land‐Ocean Coupling Scheme. Earth s Future. 12(8). 2 indexed citations
9.
Feng, Dongyu, Zeli Tan, Donghui Xu, & L. Ruby Leung. (2023). Understanding the compound flood risk along the coast of the contiguous United States. Hydrology and earth system sciences. 27(21). 3911–3934. 15 indexed citations
10.
Zhuang, Qianlai, Mingyang Guo, John M. Mélack, et al.. (2023). Current and Future Global Lake Methane Emissions: A Process‐Based Modeling Analysis. Journal of Geophysical Research Biogeosciences. 128(3). 15 indexed citations
11.
Liao, Chang, Tian Zhou, Donghui Xu, et al.. (2023). Topological Relationship‐Based Flow Direction Modeling: Stream Burning and Depression Filling. Journal of Advances in Modeling Earth Systems. 15(11). 6 indexed citations
12.
Feng, Dongyu, Zeli Tan, & Qizhi He. (2023). Physics‐Informed Neural Networks of the Saint‐Venant Equations for Downscaling a Large‐Scale River Model. Water Resources Research. 59(2). 49 indexed citations
13.
Guo, Mingyang, Qianlai Zhuang, Huaxia Yao, et al.. (2021). Intercomparison of Thermal Regime Algorithms in 1‐D Lake Models. Water Resources Research. 57(6). 3 indexed citations
14.
Tan, Zeli, L. Ruby Leung, Hong‐Yi Li, et al.. (2021). Increased extreme rains intensify erosional nitrogen and phosphorus fluxes to the northern Gulf of Mexico in recent decades. Environmental Research Letters. 16(5). 54080–54080. 19 indexed citations
15.
Guo, Mingyang, Qianlai Zhuang, Zeli Tan, et al.. (2020). Rising methane emissions from boreal lakes due to increasing ice-free days. Environmental Research Letters. 15(6). 64008–64008. 33 indexed citations
16.
Guo, Mingyang, Qianlai Zhuang, Huaxia Yao, et al.. (2020). Data for Intercomparison of thermal regime algorithms in 1-D lake models. 1 indexed citations
17.
Guo, Mingyang, Qianlai Zhuang, Huaxia Yao, et al.. (2020). Validation and Sensitivity Analysis of a 1‐D Lake Model Across Global Lakes. Journal of Geophysical Research Atmospheres. 126(4). 19 indexed citations
18.
Saunois, Marielle, Philippe Bousquet, Isabelle Pison, et al.. (2017). Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements. Atmospheric chemistry and physics. 17(13). 8371–8394. 18 indexed citations
19.
Tan, Zeli, L. Ruby Leung, Hong‐Yi Li, et al.. (2017). A Global Data Analysis for Representing Sediment and Particulate Organic Carbon Yield in Earth System Models. Water Resources Research. 53(12). 10674–10700. 21 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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