Danghui Wang

725 citations
65 papers · 546 · h-index 13

Impact in

Papers in

Danghui Wang

59 papers receiving 535 citations

Peers

Danghui Wang
Comparison fields: 5 of 61
  • Hardware and Architecture 111
  • Computational Mathematics 5
  • Computer Networks and Communications 162
  • Metals and Alloys 10
  • Electrical and Electronic Engineering 217
Replace Rujia Wang with:
Rujia Wang United States
Yizhuo Wang China
Thomas Hollstein Germany
Seung-Woo Seo South Korea
Ashok Jagannathan United States
J. Zhang China
Hyunseok Lee South Korea
Chunlin Yang China
Jinwoo Kim South Korea
Danghui Wang relative to Rujia Wang United States Rujia Wang's profile →
Citations per field
00.5×1.5×2.5×
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 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201770
2 201751
3 201335
4 201333
5 201525
6 201424
7 201223
8 201623
9 201519
10 201918
11 201216
12 201616
13 202113
14 200612
15 201212
16 201710
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 65 papers that have together received 546 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (17 papers), Parallel Computing and Optimization Techniques (16 papers), Advanced Memory and Neural Computing (14 papers), Advanced Neural Network Applications (8 papers), Semiconductor materials and devices (8 papers), Ferroelectric and Negative Capacitance Devices (7 papers), GaN-based semiconductor devices and materials (6 papers) and Advancements in Semiconductor Devices and Circuit Design (6 papers). The work is most often cited by research in Hardware and Architecture (111 citations), Computational Mathematics (5 citations), Computer Networks and Communications (162 citations), Metals and Alloys (10 citations) and Electrical and Electronic Engineering (217 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, Lei Jiang, Minje Kim, 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, Materials Science and Engineering A, Journal of Systems Architecture and Future Generation Computer Systems.

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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