Wei Si

656 citations
41 papers · 508 · h-index 13

Impact in

Papers in

Wei Si

35 papers receiving 495 citations

Peers

Wei Si
Comparison fields: 5 of 58
  • Water Science and Technology 221
  • Environmental Engineering 117
  • Global and Planetary Change 174
  • Materials Chemistry 183
  • Electronic, Optical and Magnetic Materials 68
Replace Chandra S. Pathak with:
Chandra S. Pathak United States
Jaewon Joo South Korea
Pengnian Huang China
Yu Duan China
Thomas E. Adams United States
Yueqiang Li China
Jingyuan Wang China
Ashutosh Shukla India
Zhang Hu China
Wei Si relative to Chandra S. Pathak United States Chandra S. Pathak's profile →
Citations per field
00.5×1.5×
Chandra S. Pathak · 1×
Citations per year

Countries citing papers authored by Wei Si

Since Specialization
Citations

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

Fields of papers citing papers by Wei Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001138
2 201538
3 200533
4 201333
5 202130
6 202126
7 201524
8 201823
9 201918
10 201917
11 200516
12 200614
13 201813
14 201811
15 202210
16 20058
17 20188
18 20247
19 20056
20 20174

About Wei Si

Wei Si is a scholar working on Water Science and Technology, Global and Planetary Change, Environmental Engineering, Condensed Matter Physics and Electrical and Electronic Engineering, having authored 41 papers that have together received 508 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (22 papers), Flood Risk Assessment and Management (13 papers), Hydrological Forecasting Using AI (8 papers), Hydrology and Drought Analysis (8 papers), Physics of Superconductivity and Magnetism (5 papers), Advanced Condensed Matter Physics (4 papers), Magnetic and transport properties of perovskites and related materials (3 papers) and Groundwater and Isotope Geochemistry (3 papers). The work is most often cited by research in Water Science and Technology (221 citations), Environmental Engineering (117 citations), Global and Planetary Change (174 citations), Materials Chemistry (183 citations) and Electronic, Optical and Magnetic Materials (68 citations). Wei Si has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Weimin Bao, X. X. Xi, Weimin Bao, Bae Ho Park, Xianghui Zeng, Eric J. Peterson, Q. X. Jia, Simin Qu, Hoshin V. Gupta and Peng Jiang. Their work appears in journals such as Journal of Hydrologic Engineering, Journal of Hydrology, Water Resources Research, Journal of Hydroinformatics and Physical Review B.

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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