Shengdong Wang

33 total papers · 452 total citations
21 papers, 328 citations indexed

About

Shengdong Wang is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Shengdong Wang has authored 21 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 7 papers in Mechanical Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Shengdong Wang's work include Integrated Circuits and Semiconductor Failure Analysis (4 papers), Advanced DC-DC Converters (3 papers) and Industrial Vision Systems and Defect Detection (3 papers). Shengdong Wang is often cited by papers focused on Integrated Circuits and Semiconductor Failure Analysis (4 papers), Advanced DC-DC Converters (3 papers) and Industrial Vision Systems and Defect Detection (3 papers). Shengdong Wang collaborates with scholars based in China, Macao and United States. Shengdong Wang's co-authors include Zhenbao Liu, Zhen Jia, Yong‐Wu Zhou, Xiaoyong Ren, Zhiliang Zhang, Jiacheng Tang, Haoran Li, Cédric Fischmeister, Thierry Roisnel and Christian Bruneau and has published in prestigious journals such as European Journal of Operational Research, IEEE Transactions on Power Electronics and Expert Systems with Applications.

In The Last Decade

Shengdong Wang

20 papers receiving 315 citations

Author Peers

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

Author Last Decade Papers Cites
Shengdong Wang 127 88 64 53 43 21 328
Miguel Zamarripa 61 0.5× 143 1.6× 50 0.8× 55 1.0× 9 0.2× 28 356
Pei‐Chi Chang 90 0.7× 26 0.3× 158 2.5× 34 0.6× 53 1.2× 13 363
Priyanka D. Pantula 144 1.1× 47 0.5× 163 2.5× 13 0.2× 19 0.4× 18 359
Yifei Tan 37 0.3× 27 0.3× 32 0.5× 29 0.5× 10 0.2× 28 269
Atef M. Ghaleb 31 0.2× 29 0.3× 110 1.7× 23 0.4× 36 0.8× 33 336
Mazen Ghandour 145 1.1× 91 1.0× 38 0.6× 20 0.4× 39 0.9× 30 342
Ling Li 32 0.3× 42 0.5× 93 1.5× 19 0.4× 6 0.1× 30 327
Alfonso T. Sarmiento 60 0.5× 16 0.2× 33 0.5× 61 1.2× 25 0.6× 24 356
Goutam Kumar Bose 60 0.5× 36 0.4× 81 1.3× 21 0.4× 16 0.4× 23 315
Saravanan Venkatachalam 76 0.6× 18 0.2× 72 1.1× 47 0.9× 52 1.2× 22 280

Countries citing papers authored by Shengdong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shengdong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengdong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shengdong Wang. A scholar is included among the top collaborators of Shengdong Wang 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 Shengdong Wang. Shengdong Wang 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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