Wen Wang

4.2k citations
90 papers · 2.7k · h-index 25

Impact in

Papers in

    • Hydrology and Drought Analysis 32
    • Climate variability and models 6
    • Plant Water Relations and Carbon Dynamics 5
    • Flood Risk Assessment and Management 4
    • Soil Moisture and Remote Sensing 16
    • Hydrological Forecasting Using AI 4

Wen Wang

86 papers receiving 2.7k citations

Peers

Wen Wang
Comparison fields: 5 of 76
  • Global and Planetary Change 1.3k
  • Environmental Engineering 553
  • Atmospheric Science 432
  • Water Science and Technology 439
  • Oceanography 65
Replace M. Tuğrul Yılmaz with:
M. Tuğrul Yılmaz Türkiye
Binghao Jia China
Joshua K. Roundy United States
Jürgen Komma Austria
Hongkai Gao China
John Bolten United States
Zhenliang Yin China
Joseph L. Eastman United States
Wenbin Zhu China
Guojie Wang China
Wen Wang relative to M. Tuğrul Yılmaz Türkiye M. Tuğrul Yılmaz's profile →
Citations per field
00.5×1.5×2.2×
M. Tuğrul Yılmaz · 1×
Citations per year

Countries citing papers authored by Wen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wen Wang, 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 Wen Wang Line = papers co-authored together Wen Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010269
2 2005242
3 2014184
4 2016166
5 2012146
6 2016140
7 2018131
8 2021126
9 2019103
10 2012102
11 201683
12 200576
13 202054
14 202253
15 201945
16 202144
17 202141
18 202141
19 202439
20 201937

About Wen Wang

Wen Wang is a scholar working on Global and Planetary Change, Environmental Engineering, Water Science and Technology, Atmospheric Science and Ecology, having authored 90 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hydrology and Drought Analysis (32 papers), Hydrology and Watershed Management Studies (21 papers), Soil Moisture and Remote Sensing (16 papers), Climate variability and models (6 papers), Plant Water Relations and Carbon Dynamics (5 papers), Remote Sensing in Agriculture (5 papers), Flood Risk Assessment and Management (4 papers) and Hydrological Forecasting Using AI (4 papers). The work is most often cited by research in Global and Planetary Change (1.3k citations), Environmental Engineering (553 citations), Atmospheric Science (432 citations), Water Science and Technology (439 citations) and Oceanography (65 citations). Wen Wang has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Ye Zhu, Xi Chen, Yongwei Liu, Pieter H.A.J.M. van Gelder, Johannes K. Vrijling, Jun Ma, Yuanbo Liu, Bin Yong, Jonathan J. Gourley and Yang E. Hong. Their work appears in journals such as Journal of Hydrology, Water, Journal of Hydrology Regional Studies, Remote Sensing 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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