Nan Wei

1.3k citations
44 papers · 841 · h-index 17

Impact in

Papers in

Nan Wei

42 papers receiving 826 citations

Peers

Nan Wei
Comparison fields: 5 of 69
  • Atmospheric Science 395
  • Environmental Engineering 314
  • Global and Planetary Change 416
  • Water Science and Technology 157
  • Civil and Structural Engineering 164
Replace Yuning Shi with:
Yuning Shi United States
Tim G. Reichenau Germany
Xibin Ji China
Warren Helgason Canada
Zexi Shen China
G. R. Miller United States
Chaolei Zheng China
Zhu Liu China
Hiroshi Yasuda Japan
Mandira Singh Shrestha Nepal
Nan Wei relative to Yuning Shi United States Yuning Shi's profile →
Citations per field
00.5×1.5×2.0×
Yuning Shi · 1×
Citations per year

Countries citing papers authored by Nan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Nan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019141
2 2019118
3 201969
4 201655
5 201647
6 202028
7 202327
8 201927
9 201426
10 202425
11 201823
12 201720
13 202220
14 201720
15 202119
16 202218
17 202216
18 201716
19 202415
20 202014

About Nan Wei

Nan Wei is a scholar working on Global and Planetary Change, Atmospheric Science, Environmental Engineering, Civil and Structural Engineering and Water Science and Technology, having authored 44 papers that have together received 841 indexed citations. Recurring topics across this work include Climate variability and models (19 papers), Plant Water Relations and Carbon Dynamics (17 papers), Meteorological Phenomena and Simulations (14 papers), Soil and Unsaturated Flow (12 papers), Soil Moisture and Remote Sensing (10 papers), Hydrology and Watershed Management Studies (9 papers), Climate change and permafrost (5 papers) and Remote Sensing in Agriculture (5 papers). The work is most often cited by research in Atmospheric Science (395 citations), Environmental Engineering (314 citations), Global and Planetary Change (416 citations), Water Science and Technology (157 citations) and Civil and Structural Engineering (164 citations). Nan Wei has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Yongjiu Dai, Hua Yuan, Wei Shangguan, Shupeng Zhang, Shaofeng Liu, Xingjie Lu, Liming Zhou, Qinchuan Xin, Yonggen Zhang and Zhongwang Wei. Their work appears in journals such as Journal of Advances in Modeling Earth Systems, Journal of Geophysical Research Atmospheres, Journal of Hydrometeorology, Water Resources Research and Advances in Atmospheric Sciences.

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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