Danghui Wang

63 papers receiving 556 citations

Peers

Danghui Wang
Comparison fields: 5 of 62
  • Hardware and Architecture 118
  • Computational Mathematics 5
  • Computer Networks and Communications 176
  • Electrical and Electronic Engineering 224
  • Metals and Alloys 10
Replace Rujia Wang with:
Rujia Wang United States
Yizhuo Wang China
Ashok Jagannathan United States
Seung-Woo Seo South Korea
Hyunseok Lee South Korea
Chunlin Yang China
J. Zhang China
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Danghui Wang relative to Rujia Wang United States Rujia Wang's profile →
Citations per field
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Rujia Wang · 1×
Citations per year

Countries citing papers authored by Danghui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Danghui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201770
2 201752
3 201336
4 201334
5 201525
6 201424
7 201624
8 201223
9 201519
10 201919
11 201216
12 201616
13 202113
14 200612
15 201212
16 201711
17 201510
18 20209
19 20228
20 20168

About Danghui Wang

Danghui Wang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Hardware and Architecture, Computer Vision and Pattern Recognition and Materials Chemistry, having authored 70 papers that have together received 567 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (17 papers), Advanced Data Storage Technologies (17 papers), Advanced Memory and Neural Computing (15 papers), Advanced Neural Network Applications (9 papers), Semiconductor materials and devices (8 papers), Ferroelectric and Negative Capacitance Devices (7 papers), IoT and Edge/Fog Computing (6 papers) and GaN-based semiconductor devices and materials (6 papers). The work is most often cited by research in Hardware and Architecture (118 citations), Computational Mathematics (5 citations), Computer Networks and Communications (176 citations), Electrical and Electronic Engineering (224 citations) and Metals and Alloys (10 citations). Danghui Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wujie Wen, Yiran Chen, Hai Li, Mengjie Mao, Haiyang Song, Minje Kim, Lei Jiang, Yulong Li, Jiangang Xu and Xiuyuan Bi. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Journal of Systems Architecture, Materials Science and Engineering A and IEEE Transactions on Electron Devices.

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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