Jin Teng

5.3k citations
78 papers · 4.0k · 1 hit paper · h-index 27

Impact in

Papers in

Jin Teng

75 papers receiving 4.0k citations

Jin Teng's Hit Papers

Flood inundation modelling: A review of methods, recent advances and uncertainty analysis 2017 · 964 citations
9640+3+6Years since publication250500750

Peers

Jin Teng
Comparison fields: 5 of 94
  • Water Science and Technology 2.6k
  • Global and Planetary Change 3.1k
  • Atmospheric Science 1.0k
  • Environmental Engineering 741
  • Soil Science 250
Replace Attilio Castellarin with:
Attilio Castellarin Italy
Florence Habets France
Aizhong Ye China
Markus Disse Germany
Armando Brath Italy
Juan B. Valdés United States
Benjamin Renard France
Xiaomang Liu China
Faisal Hossain United States
Venkatesh Merwade United States
Jin Teng relative to Attilio Castellarin Italy Attilio Castellarin's profile →
Citations per field
00.5×1.5×
Attilio Castellarin · 1×
Citations per year

Countries citing papers authored by Jin Teng

Since Specialization
Citations

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

Fields of papers citing papers by Jin Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jin Teng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jin Teng Line = papers co-authored together Jin Teng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Flood inundation modelling: A review of methods, recent advances and uncertainty analysis
Hit paper breakdown →
2017964
2 2010323
3 2009278
4 2010263
5 2011199
6 2015138
7 2012124
8 2013116
9 2010114
10 2013108
11 201598
12 201282
13 201182
14 201480
15 200980
16 201368
17 201060
18 200759
19 201152
20 201150

About Jin Teng

Jin Teng is a scholar working on Water Science and Technology, Global and Planetary Change, Environmental Engineering, Atmospheric Science and Computer Networks and Communications, having authored 78 papers that have together received 4.0k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (52 papers), Climate variability and models (28 papers), Flood Risk Assessment and Management (26 papers), Hydrology and Drought Analysis (11 papers), Hydrological Forecasting Using AI (9 papers), Soil erosion and sediment transport (7 papers), Hydrology and Sediment Transport Processes (7 papers) and Cryospheric studies and observations (7 papers). The work is most often cited by research in Water Science and Technology (2.6k citations), Global and Planetary Change (3.1k citations), Atmospheric Science (1.0k citations), Environmental Engineering (741 citations) and Soil Science (250 citations). Jin Teng has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Jai Vaze, Francis H. S. Chiew, D. Dutta, Barry Croke, Anthony J. Jakeman, Jean‐Michel Perraud, Neil R. Viney, David Post, Dewi Kirono and Steve Marvanek. Their work appears in journals such as Journal of Hydrology, Journal of Hydrometeorology, Environmental Modelling & Software, Hydrological Processes and Water Resources Research.

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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