Song Wei

102 total papers · 743 total citations
58 papers, 574 citations indexed

About

Song Wei is a scholar working on Mechanics of Materials, Environmental Chemistry and Environmental Engineering. According to data from OpenAlex, Song Wei has authored 58 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanics of Materials, 8 papers in Environmental Chemistry and 8 papers in Environmental Engineering. Recurrent topics in Song Wei's work include Hydrocarbon exploration and reservoir analysis (9 papers), Fractional Differential Equations Solutions (6 papers) and Numerical methods in engineering (6 papers). Song Wei is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (9 papers), Fractional Differential Equations Solutions (6 papers) and Numerical methods in engineering (6 papers). Song Wei collaborates with scholars based in China, United States and United Kingdom. Song Wei's co-authors include Yong Zhang, Wen Chen, HongGuang Sun, Y.C. Hon, Wen Chen, Jianting Zhu, Ningxi Li, Wen Chen, Zhenyu Zhao and Jianjun Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Geophysical Research Letters.

In The Last Decade

Song Wei

51 papers receiving 560 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Song Wei	171	142	77	74	68	58	574
Chunyan Liu	49 0.3×	57 0.4×	68 0.9×	56 0.8×	30 0.4×	55	543
Van Thinh Nguyen	76 0.4×	146 1.0×	85 1.1×	65 0.9×	52 0.8×	64	628
Lei Hu	32 0.2×	145 1.0×	80 1.0×	84 1.1×	23 0.3×	52	627
Peng Wang	56 0.3×	70 0.5×	25 0.3×	57 0.8×	47 0.7×	71	588
A. Cloot	61 0.4×	163 1.1×	24 0.3×	100 1.4×	16 0.2×	30	579
Budhi Sagar	48 0.3×	67 0.5×	272 3.5×	33 0.4×	154 2.3×	58	613
H.A. Lauwerier	79 0.5×	34 0.2×	144 1.9×	20 0.3×	48 0.7×	54	663
Ferenc Izsák	62 0.4×	56 0.4×	112 1.5×	55 0.7×	25 0.4×	40	542
Edie Miglio	104 0.6×	23 0.2×	52 0.7×	45 0.6×	63 0.9×	36	675
J.S. Pérez Guerrero	90 0.5×	57 0.4×	314 4.1×	83 1.1×	168 2.5×	26	655

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-authorship network of co-authors of Song Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Song Wei. A scholar is included among the top collaborators of Song Wei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Song Wei. Song Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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