Dewei Wang

24 papers receiving 316 citations

Peers

Dewei Wang
Comparison fields: 5 of 62
  • Hardware and Architecture 54
  • Geochemistry and Petrology 25
  • Electrical and Electronic Engineering 174
  • Statistics and Probability 20
  • Artificial Intelligence 72
Replace Xuan Chen with:
Xuan Chen China
Yves Mathieu France
C.A. Anderson United States
Kengo Iokibe Japan
Tianzhu Ye China
Shyam Ramji India
Motoki Amagasaki Japan
Yulong Dong China
Min Bao China
Nicolas Le Goff France
Dewei Wang relative to Xuan Chen China Xuan Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dewei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dewei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dewei 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 Dewei Wang Line = papers co-authored together Dewei 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 202277
2 202239
3 202137
4 202028
5 202122
6 202021
7 202321
8 201215
9 202313
10 202313
11 202111
12 20176
13
Design and test of turnover laying device of peanut harvester.
20163
14 20212
15 20242
16
[Fuzzy comprehensive evaluation method of metabolic syndrome based on PCA].
20132
17 20221
18
Ground simulation test for the working fluid evacuation in high vacuum and low gravity environment
20191
19 20251
20 20211

About Dewei Wang

Dewei Wang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Atmospheric Science, Control and Systems Engineering and Hardware and Architecture, having authored 25 papers that have together received 320 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (9 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Semiconductor materials and devices (4 papers), Geology and Paleoclimatology Research (3 papers), Parallel Computing and Optimization Techniques (3 papers), Remote Sensing and Land Use (2 papers), Statistical Methods and Bayesian Inference (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Hardware and Architecture (54 citations), Geochemistry and Petrology (25 citations), Electrical and Electronic Engineering (174 citations), Statistics and Probability (20 citations) and Artificial Intelligence (72 citations). Dewei Wang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Mingoo Seok, Ram Krishnamurthy, Phil Knag, Gregory K. Chen, Minhao Yang, Christopher R. Fielding, Longyi Shao, K. B. Kulasekera, Aurel A. Lazar and Soonwan Kwon. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Palaeogeography Palaeoclimatology Palaeoecology, Frontiers in Neuroscience, International Journal of Coal Geology and The Annals of Statistics.

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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