Danghui Wang

63 papers receiving 551 citations

Peers

Danghui Wang
Comparison fields: 5 of 63
  • Hardware and Architecture 123
  • Computational Mathematics 5
  • Computer Networks and Communications 174
  • Electrical and Electronic Engineering 227
  • Metals and Alloys 10
Replace Ashok Jagannathan with:
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Danghui Wang relative to Ashok Jagannathan United States Ashok Jagannathan's profile →
Citations per field
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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 201769
2 201750
3 201335
4 201331
5 201525
6 201424
7 201223
8 201623
9 201518
10 201216
11 200316
12 201916
13 201616
14 202113
15 200612
16 201212
17 201710
18 201510
19 20209
20 20129

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 573 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 (15 papers), GaN-based semiconductor devices and materials (9 papers), Advanced Neural Network Applications (9 papers), Semiconductor materials and devices (9 papers), Ferroelectric and Negative Capacitance Devices (7 papers) and Advancements in Semiconductor Devices and Circuit Design (6 papers). The work is most often cited by research in Hardware and Architecture (123 citations), Computational Mathematics (5 citations), Computer Networks and Communications (174 citations), Electrical and Electronic Engineering (227 citations) and Metals and Alloys (10 citations). Danghui Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Wujie Wen, Yiran Chen, Mengjie Mao, Hai Li, Haiyang Song, Minje Kim, Lei Jiang, Yulong Li, Jiangang Xu and Yaorong Feng. 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, Future Generation Computer Systems, IEEE Transactions on Electron Devices and Materials Science and Engineering A.

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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