Dewei Wang

24 papers receiving 354 citations

Peers

Dewei Wang
Comparison fields: 5 of 66
  • Hardware and Architecture 57
  • Geochemistry and Petrology 25
  • Electrical and Electronic Engineering 191
  • Statistics and Probability 21
  • Artificial Intelligence 80
Replace C.A. Anderson with:
C.A. Anderson United States
Zhan Yu China
Shyam Ramji India
Tianzhu Ye China
Kengo Iokibe Japan
Motoki Amagasaki Japan
Haishan Li China
Jeongbin Kim South Korea
Bart Cox Netherlands
Rajesh H. Zele India
Dewei Wang relative to C.A. Anderson United States C.A. Anderson's profile →
Citations per field
00.5×5×10×15.5×
C.A. Anderson · 1×
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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202286
2 202241
3 202141
4 202033
5 202322
6 202122
7 202021
8 202320
9 202317
10 201216
11 202111
12 20176
13 20246
14
Design and test of turnover laying device of peanut harvester.
20164
15
[Fuzzy comprehensive evaluation method of metabolic syndrome based on PCA].
20132
16 20242
17 20212
18 20251
19
Ground simulation test for the working fluid evacuation in high vacuum and low gravity environment
20191
20 20231

About Dewei Wang

Dewei Wang is a scholar working on Atmospheric Science, Artificial Intelligence, Electrical and Electronic Engineering, Geochemistry and Petrology and Control and Systems Engineering, having authored 26 papers that have together received 359 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Semiconductor materials and devices (4 papers), Geology and Paleoclimatology Research (3 papers), Remote Sensing and Land Use (2 papers), Statistical Methods and Bayesian Inference (2 papers), Neural Networks and Reservoir Computing (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (57 citations), Geochemistry and Petrology (25 citations), Electrical and Electronic Engineering (191 citations), Statistics and Probability (21 citations) and Artificial Intelligence (80 citations). Dewei Wang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Mingoo Seok, Ram Kumar Krishnamurthy, Phil C. Knag, Gregory K. Chen, Minhao Yang, Christopher R. Fielding, Longyi Shao, Karunarathna B. Kulasekera, Aurel A. Lazar and Sang Joon Kim. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Global and Planetary Change, Journal of Multivariate Analysis, Palaeogeography Palaeoclimatology Palaeoecology and Frontiers in Neuroscience.

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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