Song Wei

2.0k citations
78 papers · 1.6k · h-index 23

Impact in

Papers in

Song Wei

71 papers receiving 1.6k citations

Peers

Song Wei
Comparison fields: 5 of 129
  • Materials Chemistry 696
  • Information Systems and Management 99
  • Electrical and Electronic Engineering 718
  • Atomic and Molecular Physics, and Optics 379
  • Management of Technology and Innovation 81
Replace Giuseppe Zollo with:
Giuseppe Zollo Italy
Andrew Dickson White United States
Kenneth D. Mackenzie United States
Jianjun Yang China
Yang Bao China
Lisa Y. Chen Taiwan
Ki-Soo Kim South Korea
N. Caswell United States
Toru Sakaguchi Japan
Sang‐Joon Kim South Korea
Song Wei relative to Giuseppe Zollo Italy Giuseppe Zollo's profile →
Citations per field
00.5×6.6×
Giuseppe Zollo · 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 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016337
2 2017134
3 201497
4 201875
5 200467
6 200566
7 201360
8 201756
9 201554
10 200547
11 201545
12 201843
13 201638
14 202136
15 202035
16 202031
17 200931
18 200529
19 200827
20 201327

About Song Wei

Song Wei is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics, Artificial Intelligence and Strategy and Management, having authored 78 papers that have together received 1.6k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (19 papers), Quantum Dots Synthesis And Properties (16 papers), Quantum Computing Algorithms and Architecture (14 papers), Quantum Mechanics and Applications (13 papers), Perovskite Materials and Applications (12 papers), Chalcogenide Semiconductor Thin Films (8 papers), ZnO doping and properties (6 papers) and Innovation and Knowledge Management (6 papers). The work is most often cited by research in Materials Chemistry (696 citations), Information Systems and Management (99 citations), Electrical and Electronic Engineering (718 citations), Atomic and Molecular Physics, and Optics (379 citations) and Management of Technology and Innovation (81 citations). Song Wei has collaborated with scholars based in China, Germany and South Korea. Frequent co-authors include Daocheng Pan, Lijian Huang, Yanchun Yang, Xiaojiao Kang, Zhuo‐Liang Cao, Lan Wang, Xiaobao Peng, Ming Yang, Muhammad Salman Shabbir and Shuliang Zhao. Their work appears in journals such as Physical Review A, Physics Letters A, Journal of Luminescence, ACS Applied Materials & Interfaces and Journal of Materials Science Materials in Electronics.

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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