Bi Wu

775 citations
65 papers · 550 · h-index 15

Impact in

Papers in

Bi Wu

52 papers receiving 540 citations

Peers

Bi Wu
Comparison fields: 5 of 43
  • Hardware and Architecture 74
  • Electrical and Electronic Engineering 440
  • Atomic and Molecular Physics, and Optics 217
  • Computer Networks and Communications 85
  • Artificial Intelligence 78
Replace Richard Dorrance with:
Richard Dorrance United States
Po-Hao Lee Taiwan
Kazutaka Ikegami Japan
Kumiko Nomura Japan
Mohit Gupta Belgium
Yuanqing Cheng China
Manu Perumkunnil Belgium
Ryusuke Nebashi Japan
Eric Belhaire France
Guillaume Prenat France
Bi Wu relative to Richard Dorrance United States Richard Dorrance's profile →
Citations per field
00.5×1.5×1.8×
Richard Dorrance · 1×
Citations per year

Countries citing papers authored by Bi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Bi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bi Wu, 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 Bi Wu Line = papers co-authored together Bi Wu 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 201951
2 201649
3 201932
4 201831
5 202228
6 202023
7 201922
8 201820
9 201919
10 202019
11 201919
12 202418
13 201817
14 201817
15 201914
16 202313
17 20199
18 20239
19 20209
20 20198

About Bi Wu

Bi Wu is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computer Networks and Communications, Artificial Intelligence and Hardware and Architecture, having authored 65 papers that have together received 550 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (29 papers), Ferroelectric and Negative Capacitance Devices (26 papers), Magnetic properties of thin films (21 papers), Advanced Data Storage Technologies (11 papers), Semiconductor materials and devices (9 papers), Parallel Computing and Optimization Techniques (7 papers), Advanced Neural Network Applications (6 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Hardware and Architecture (74 citations), Electrical and Electronic Engineering (440 citations), Atomic and Molecular Physics, and Optics (217 citations), Computer Networks and Communications (85 citations) and Artificial Intelligence (78 citations). Bi Wu has collaborated with scholars based in China, United States and France. Frequent co-authors include Weisheng Zhao, Youguang Zhang, Zhaohao Wang, Wang Kang, Weiqiang Liu, Yuanqing Cheng, Ke Chen, Jianlei Yang, He Zhang and Kaihua Cao. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Nanotechnology, ACM Journal on Emerging Technologies in Computing Systems and IEEE Transactions on Emerging Topics in Computing.

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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