Song Wei

806 citations
61 papers · 624 · h-index 16

Impact in

Papers in

Song Wei

57 papers receiving 614 citations

Peers

Song Wei
Comparison fields: 5 of 111
  • Modeling and Simulation 146
  • Numerical Analysis 75
  • Geology 54
  • Mechanics of Materials 183
  • Geochemistry and Petrology 41
Replace Chunyan Liu with:
Chunyan Liu China
J. F. Botha South Africa
Wajid Ali Pakistan
Masao Yamazaki Japan
Mei Mei China
А. С. Холодов Russia
Dilip Kumar Jaiswal India
Abeeb A. Awotunde Saudi Arabia
Yaqi Wang China
G Crosta Italy
Song Wei relative to Chunyan Liu China Chunyan Liu's profile →
Citations per field
00.5×4.5×
Chunyan Liu · 1×
Citations per year

Countries citing papers authored by Song Wei

Since Specialization
Citations

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

Fields of papers citing papers by Song Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202172
2 201863
3 201834
4 202029
5 201529
6 201925
7 202025
8 201524
9 201723
10 201723
11 201621
12 202318
13 202318
14 202118
15 202216
16 201915
17 202012
18 201511
19 202211
20 202411

About Song Wei

Song Wei is a scholar working on Mechanics of Materials, Molecular Biology, Environmental Chemistry, Environmental Engineering and Food Science, having authored 61 papers that have together received 624 indexed citations. Recurring topics across this work include Hydrocarbon exploration and reservoir analysis (9 papers), Groundwater flow and contamination studies (6 papers), Numerical methods in engineering (6 papers), Fractional Differential Equations Solutions (6 papers), Methane Hydrates and Related Phenomena (5 papers), Gut microbiota and health (4 papers), Geological and Geophysical Studies (4 papers) and Analytical Chemistry and Chromatography (4 papers). The work is most often cited by research in Modeling and Simulation (146 citations), Numerical Analysis (75 citations), Geology (54 citations), Mechanics of Materials (183 citations) and Geochemistry and Petrology (41 citations). Song Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yong Zhang, Wen Chen, HongGuang Sun, Jianting Zhu, Wen Chen, Ningxi Li, Zhenyu Zhao, Jianjun Zhang, Wen Chen and Lin Shi. Their work appears in journals such as Journal of Hydrology, Petroleum Exploration and Development, Journal of Agricultural and Food Chemistry, International Journal of Biological Macromolecules and Journal of Chemical & Engineering Data.

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.

Explore authors with similar magnitude of impact