Tangao Hu

1.6k total citations · 1 hit paper
58 papers, 1.2k citations indexed

About

Tangao Hu is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Tangao Hu has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Global and Planetary Change, 31 papers in Atmospheric Science and 15 papers in Environmental Engineering. Recurrent topics in Tangao Hu's work include Land Use and Ecosystem Services (21 papers), Flood Risk Assessment and Management (20 papers) and Remote Sensing and Land Use (16 papers). Tangao Hu is often cited by papers focused on Land Use and Ecosystem Services (21 papers), Flood Risk Assessment and Management (20 papers) and Remote Sensing and Land Use (16 papers). Tangao Hu collaborates with scholars based in China, Netherlands and Japan. Tangao Hu's co-authors include Yao Li, Hao Hou, Ronald B. Smith, Yaoyao Zheng, Pin Wang, Yuji Murayama, Ruci Wang, Dengrong Zhang, Yaozhong Pan and Jinshui Zhang and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Tangao Hu

53 papers receiving 1.2k citations

Hit Papers

Contributions of climate change and urbanization to urban... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tangao Hu China 19 709 515 352 259 236 58 1.2k
Faisal Mumtaz China 22 808 1.1× 554 1.1× 321 0.9× 512 2.0× 176 0.7× 56 1.4k
Jatisankar Bandyopadhyay India 21 619 0.9× 532 1.0× 244 0.7× 277 1.1× 231 1.0× 82 1.2k
Fei Meng China 20 706 1.0× 544 1.1× 398 1.1× 258 1.0× 328 1.4× 84 1.4k
Matamyo Simwanda Zambia 15 687 1.0× 473 0.9× 250 0.7× 378 1.5× 252 1.1× 26 1.2k
Yanhua Xie United States 20 936 1.3× 483 0.9× 270 0.8× 419 1.6× 162 0.7× 43 1.4k
Pramod Kumar India 14 705 1.0× 468 0.9× 180 0.5× 168 0.6× 423 1.8× 83 1.1k
Qingke Wen China 16 877 1.2× 254 0.5× 311 0.9× 464 1.8× 163 0.7× 45 1.4k
Tingting He China 22 810 1.1× 336 0.7× 290 0.8× 336 1.3× 133 0.6× 75 1.4k
Luo Liu China 16 521 0.7× 506 1.0× 294 0.8× 367 1.4× 221 0.9× 44 1.0k
Luca Congedo Italy 16 574 0.8× 457 0.9× 164 0.5× 251 1.0× 261 1.1× 29 1.0k

Countries citing papers authored by Tangao Hu

Since Specialization
Citations

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

Fields of papers citing papers by Tangao Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tangao Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Tangao Hu. A scholar is included among the top collaborators of Tangao Hu 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 Tangao Hu. Tangao Hu 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
2.
Fang, Jiayi, Jiayi Fang, Pin Wang, et al.. (2025). Deep learning surrogate models for spatiotemporal prediction of coastal flooding inundations in Tianjin, China. Journal of Hydrology Regional Studies. 60. 102593–102593.
3.
Hu, Tangao, et al.. (2024). Enhancing Urban Flood Forecasting: Integrating Weather Forecasts and Hydrological Models. Water. 16(14). 2004–2004. 2 indexed citations
4.
Hou, Hao, et al.. (2024). Scenario-Based Simulation of Impervious Surfaces for Detecting the Effects of Landscape Patterns on Urban Waterlogging. Remote Sensing. 16(12). 2130–2130. 1 indexed citations
5.
Yan, Yangyang, Hao Hou, Yuji Murayama, Ruci Wang, & Tangao Hu. (2024). How do landscape patterns affect cooling intensity and scale? Evidence from 13 primary urban wetlands in China. Ecological Indicators. 166. 112574–112574. 5 indexed citations
6.
Li, Yao, et al.. (2024). Contributions of climate change and urbanization to urban flood hazard changes in China's 293 major cities since 1980. Journal of Environmental Management. 353. 120113–120113. 47 indexed citations breakdown →
7.
Li, Yao, et al.. (2023). Management of the designed risk level of urban drainage system in the future: Evidence from haining city, China. Journal of Environmental Management. 351. 119846–119846. 10 indexed citations
8.
Huang, Shujia, et al.. (2023). Analysis of geothermal potential in Hangjiahu area based on remote sensing and geographic information system. Frontiers in Earth Science. 10. 7 indexed citations
9.
Li, Yao, et al.. (2023). Future changes in urban drainage pressure caused by precipitation extremes in 285 cities across China based on CMIP6 models. Sustainable Cities and Society. 91. 104404–104404. 19 indexed citations
10.
Hou, Hao, Ronald C. Estoque, Yaoyao Zheng, et al.. (2022). Seasonal effects of urban morphology on land surface temperature in a three-dimensional perspective: A case study in Hangzhou, China. Building and Environment. 228. 109913–109913. 56 indexed citations
11.
Chen, Yan, et al.. (2022). Urban Inundation under Different Rainstorm Scenarios in Lin’an City, China. International Journal of Environmental Research and Public Health. 19(12). 7210–7210. 17 indexed citations
12.
Hou, Hao, Yao Li, Jing Pan, et al.. (2022). Investigating relationships between landscape patterns and surface runoff from a spatial distribution and intensity perspective. Journal of Environmental Management. 325(Pt B). 116631–116631. 25 indexed citations
13.
Hou, Hao, et al.. (2022). Prediction of the future urban heat island intensity and distribution based on landscape composition and configuration: A case study in Hangzhou. Sustainable Cities and Society. 83. 103992–103992. 65 indexed citations
14.
Yang, Kexin, Hao Hou, Yao Li, et al.. (2022). Future urban waterlogging simulation based on LULC forecast model: A case study in Haining City, China. Sustainable Cities and Society. 87. 104167–104167. 32 indexed citations
15.
Fan, Jiayao, et al.. (2022). Relationship between Natural Environmentand Orthopedic Diseases based on Remote Sensingin Zhejiang Province, China. Polish Journal of Environmental Studies. 31(5). 4355–4370.
16.
Zheng, Yaoyao, Yao Li, Hao Hou, et al.. (2021). Quantifying the Cooling Effect and Scale of Large Inner-City Lakes Based on Landscape Patterns: A Case Study of Hangzhou and Nanjing. Remote Sensing. 13(8). 1526–1526. 39 indexed citations
17.
Zhu, Wenquan, et al.. (2021). Evaluating the Impact of Mega-Sports Events on Urbanization Focusing on Land-Use Changes Using a Scenario-Based Model. Sustainability. 13(4). 1649–1649. 12 indexed citations
18.
Hu, Tangao, et al.. (2021). Long‐term monitoring and evaluation of land development in a reclamation area under rapid urbanization: A case‐study in Qiantang New District, China. Land Degradation and Development. 32(11). 3259–3271. 10 indexed citations
19.
Zhang, Yuzhou, et al.. (2020). Mapping of Intrusive Complex on a Small Scale Using Multi-Source Remote Sensing Images. ISPRS International Journal of Geo-Information. 9(9). 543–543. 1 indexed citations
20.
Hu, Tangao, Xiao Wang, Dengrong Zhang, et al.. (2017). Study on Typhoon Center Monitoring Based on HY-2 and FY-2 Data. IEEE Geoscience and Remote Sensing Letters. 14(12). 2350–2354. 14 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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