Shaodi Wang

698 citations
25 papers · 518 · h-index 13

Impact in

Papers in

Shaodi Wang

25 papers receiving 510 citations

Peers

Shaodi Wang
Comparison fields: 5 of 40
  • Building and Construction 117
  • Civil and Structural Engineering 133
  • Atomic and Molecular Physics, and Optics 173
  • Electrical and Electronic Engineering 286
  • Hardware and Architecture 35
Replace Gábor Farkas with:
Gábor Farkas Hungary
Jian Lei China
Jiang Guo China
Timothy Chainer United States
Yinan Zhang United States
Ashish Gupta India
Hojjat Sharifi Iran
Zhao Yi China
Mengqi Liu China
Shaodi Wang relative to Gábor Farkas Hungary Gábor Farkas's profile →
Citations per field
00.5×10×14.6×
Gábor Farkas · 1×
Citations per year

Countries citing papers authored by Shaodi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shaodi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201689
2 202171
3 201642
4 202436
5 202135
6 201831
7 201325
8 201617
9 202316
10 201615
11 201715
12 202213
13 201713
14 202312
15 201612
16 202212
17 202011
18 201510
19 20188
20 20247

About Shaodi Wang

Shaodi Wang is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Civil and Structural Engineering, Building and Construction and Mechanical Engineering, having authored 25 papers that have together received 518 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (9 papers), Ferroelectric and Negative Capacitance Devices (7 papers), Semiconductor materials and devices (7 papers), Magnetic properties of thin films (7 papers), Advancements in Semiconductor Devices and Circuit Design (6 papers), Structural Behavior of Reinforced Concrete (4 papers), Structural Load-Bearing Analysis (4 papers) and Innovative concrete reinforcement materials (2 papers). The work is most often cited by research in Building and Construction (117 citations), Civil and Structural Engineering (133 citations), Atomic and Molecular Physics, and Optics (173 citations), Electrical and Electronic Engineering (286 citations) and Hardware and Architecture (35 citations). Shaodi Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Puneet Gupta, Kang L. Wang, Pedram Khalili Amiri, Hochul Lee, Zhuangcheng Fang, Farbod Ebrahimi, Haibo Jiang, Andrew Pan, Chi On Chui and Albert Lee. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Electron Devices, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Magnetics Letters and Engineering Structures.

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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