Tongbi Tu

962 total citations · 1 hit paper
38 papers, 685 citations indexed

About

Tongbi Tu is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Tongbi Tu has authored 38 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Water Science and Technology, 19 papers in Global and Planetary Change and 12 papers in Environmental Engineering. Recurrent topics in Tongbi Tu's work include Hydrology and Watershed Management Studies (19 papers), Flood Risk Assessment and Management (12 papers) and Hydrological Forecasting Using AI (6 papers). Tongbi Tu is often cited by papers focused on Hydrology and Watershed Management Studies (19 papers), Flood Risk Assessment and Management (12 papers) and Hydrological Forecasting Using AI (6 papers). Tongbi Tu collaborates with scholars based in United States, China and Japan. Tongbi Tu's co-authors include Gang Zhao, Bo Pang, Zongxue Xu, Jiajia Yue, Ali Ercan, M. L. Kavvas, Kei Ishida, Motoki Amagasaki, Tongtiegang Zhao and Liyang Xu and has published in prestigious journals such as Nature Communications, The Science of The Total Environment and Water Research.

In The Last Decade

Tongbi Tu

37 papers receiving 669 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.

Mapping flood susceptibility in mountainous areas on a national scale in China

2017 302 citations Gang Zhao, Bo Pang et al. The Science of The Total Environment profile →

Peers

Countries citing papers authored by Tongbi Tu

Since Specialization

Citations

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

Fields of papers citing papers by Tongbi Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tongbi Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Tongbi Tu. A scholar is included among the top collaborators of Tongbi Tu 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 Tongbi Tu. Tongbi Tu 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

#	Work	Indexed citations
1	An extension of WeatherBench 2 to binary hydroclimatic forecasts 2025 ·Geoscientific model development ·Tongtiegang Zhao, Qiang Li, Tongbi Tu, Xiaohong Chen	0
2	Effects of beach nourishment on seawater intrusion in layered heterogeneous aquifers 2024 ·Journal of Hydrology ·Xuan Yu, (unknown), Rongjiang Yao, Tongbi Tu, Zebin Zhang, Xinfeng Zhao	9
3	Enhancing physically-based hydrological modeling with an ensemble of machine-learning reservoir operation modules under heavy human regulation using easily accessible data 2024 ·Journal of Environmental Management ·Tongbi Tu, (unknown), Kai Duan, Tongtiegang Zhao	7
4	Scaling from global to regional river flow with global hydrological models: Choice matters 2024 ·Journal of Hydrology ·Tongbi Tu, Jiahao Wang, Gang Zhao, Tongtiegang Zhao, (unknown)	6
5	Different patterns of bacterioplankton in response to inorganic and organic phosphorus inputs in freshwater lakes - a microcosmic study 2024 ·Water Research ·Tongbi Tu, Le Li, Wenkai Li, Shan Zhang, Hui Zhong, Gang Ge, (unknown), Lan Wu	1
6	Temporal dynamics of soil salinization due to vertical and lateral saltwater intrusion at an onshore aquaculture farm 2024 ·Agricultural Water Management ·Xuan Yu, (unknown), Rongjiang Yao, Junhong Wei, Tongbi Tu, (unknown)	6
7	Co-regulation of water and energy in the spatial heterogeneity of drought resistance and resilience 2023 ·Environmental Research Letters ·(unknown), Zhiyong Liu, Jiafu Mao, Tongtiegang Zhao, Tongbi Tu, Linyin Cheng, Chunyu Dong	12
8	Bedrock mediates responses of ecosystem productivity to climate variability 2023 ·Communications Earth & Environment ·(unknown), Jonathan B. Martin, Matthew J. Cohen, Tongbi Tu	16
9	PairwiseIHA: A python toolkit to detect flow regime alterations for headwater rivers 2022 ·Environmental Modelling & Software ·(unknown), Tongtiegang Zhao, Tongbi Tu, Xinjun Tu, Xiaohong Chen	6
10	Attributing correlation skill of dynamical GCM precipitation forecasts to statistical ENSO teleconnection using a set-theory-based approach 2021 ·Hydrology and earth system sciences ·Tongtiegang Zhao, (unknown), Quanxi Shao, Tongbi Tu, Yu Tian, Xiaohong Chen	4
11	Capabilities of deep learning models on learning physical relationships: Case of rainfall-runoff modeling with LSTM 2021 ·The Science of The Total Environment ·(unknown), Kei Ishida, Ali Ercan, Tongbi Tu, (unknown), (unknown), Motoki Amagasaki	40
12	Coupling hydroclimate-hydraulic-sedimentation models to estimate flood inundation and sediment transport during extreme flood events under a changing climate 2020 ·The Science of The Total Environment ·Tongbi Tu, Ali Ercan, (unknown), M. L. Kavvas, Toan Trinh, Kei Ishida, (unknown), Kevin Brown	21
13	Hourly-scale coastal sea level modeling in a changing climate using long short-term memory neural network 2020 ·The Science of The Total Environment ·Kei Ishida, (unknown), Ali Ercan, Tongbi Tu, (unknown), Motoki Amagasaki	32
14	Fractional governing equations of transient groundwater flow in unconfined aquifers with multi-fractional dimensions in fractional time 2020 ·Earth System Dynamics ·M. L. Kavvas, Tongbi Tu, Ali Ercan, (unknown)	4
15	An enhanced inundation method for urban flood hazard mapping at the large catchment scale 2019 ·Journal of Hydrology ·Gang Zhao, Zongxue Xu, Bo Pang, Tongbi Tu, Liyang Xu, (unknown)	51
16	Fractal scaling analysis of groundwater dynamics in confined aquifers 2017 ·Earth System Dynamics ·Tongbi Tu, Ali Ercan, M. L. Kavvas	13
17	Fractional governing equations of transient groundwater flow in confined aquifers with multi-fractional dimensions in fractional time 2017 ·Earth System Dynamics ·M. L. Kavvas, Tongbi Tu, Ali Ercan, (unknown)	9
18	Mapping flood susceptibility in mountainous areas on a national scale in China breakdown → 2017 ·The Science of The Total Environment ·Gang Zhao, Bo Pang, Zongxue Xu, Jiajia Yue, Tongbi Tu	302
19	Assessment of the effects of multiple extreme floods on flow and transport processes under competing flood protection and environmental management strategies 2017 ·The Science of The Total Environment ·Tongbi Tu, (unknown), Ali Ercan, Toan Trinh, M. L. Kavvas, (unknown)	17
20	Scaling up TeraShake: A 1-Hz Case Study 2006 ·AGUFM ·(unknown), L. Ramirez-Guzmán, Tongbi Tu, (unknown), (unknown), Jacobo Bielak, Omar Ghattas, David R. O’Hallaron	4

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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