Bing Wu

116 total papers · 1.4k total citations
50 papers, 538 citations indexed

About

Bing Wu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Bing Wu has authored 50 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 19 papers in Computer Networks and Communications and 7 papers in Hardware and Architecture. Recurrent topics in Bing Wu's work include Advanced Memory and Neural Computing (16 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Mobile Ad Hoc Networks (10 papers). Bing Wu is often cited by papers focused on Advanced Memory and Neural Computing (16 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Mobile Ad Hoc Networks (10 papers). Bing Wu collaborates with scholars based in China, United States and Canada. Bing Wu's co-authors include Spyros S. Magliveras, Eduardo B. Fernández, Jie Wu, Mohammad Ilyas, Wei Tong, Dan Feng, Jingning Liu, Jie Wu, Chengning Wang and Ivan Stojmenović and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Electron Devices and IEEE Transactions on Computers.

In The Last Decade

Bing Wu

43 papers receiving 497 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bing Wu 297 266 63 50 32 50 538
Zamshed I. Chowdhury 164 0.6× 367 1.4× 62 1.0× 56 1.1× 15 0.5× 34 520
Hongsik Choi 243 0.8× 269 1.0× 51 0.8× 13 0.3× 14 0.4× 40 481
Abdul Waheed 252 0.8× 239 0.9× 64 1.0× 71 1.4× 20 0.6× 63 497
Yawen Wei 414 1.4× 277 1.0× 94 1.5× 49 1.0× 6 0.2× 19 546
Huang Wei 300 1.0× 194 0.7× 60 1.0× 36 0.7× 23 0.7× 63 603
Jonny Johansson 115 0.4× 365 1.4× 14 0.2× 27 0.5× 12 0.4× 51 515
Jaehyun Park 141 0.5× 216 0.8× 21 0.3× 188 3.8× 32 1.0× 52 448
Tobias Gemmeke 124 0.4× 335 1.3× 97 1.5× 86 1.7× 9 0.3× 70 505
Jean-Christophe Prévotet 219 0.7× 364 1.4× 40 0.6× 65 1.3× 15 0.5× 33 461
Yu Ting Chen 151 0.5× 195 0.7× 69 1.1× 291 5.8× 26 0.8× 28 592

Countries citing papers authored by Bing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Bing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Wu. A scholar is included among the top collaborators of Bing Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bing Wu. Bing Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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