Guowu Yang

2.9k citations
168 papers · 2.0k · h-index 25

Impact in

Papers in

Guowu Yang

157 papers receiving 1.9k citations

Peers

Guowu Yang
Comparison fields: 5 of 147
  • Artificial Intelligence 1.1k
  • Computational Theory and Mathematics 470
  • Hardware and Architecture 88
  • Information Systems 266
  • Computer Vision and Pattern Recognition 209
Replace Danilo Pelusi with:
Danilo Pelusi Italy
Jaume Bacardit United Kingdom
Arlindo L. Oliveira Portugal
Hiroshi Mamitsuka Japan
Ping Xuan China
Guohui Lin Canada
Jin‐Young Choi South Korea
José Ranilla Spain
Yadong Wang China
Yu‐an Tan China
Guowu Yang relative to Danilo Pelusi Italy Danilo Pelusi's profile →
Citations per field
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Danilo Pelusi · 1×
Citations per year

Countries citing papers authored by Guowu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guowu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006186
2 2019141
3 2017100
4 201877
5 201860
6 200459
7 201450
8 201246
9 200539
10 201237
11 201737
12 201335
13 201934
14 200534
15 201931
16 201729
17 201926
18 201426
19 202325
20 201725

About Guowu Yang

Guowu Yang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 168 papers that have together received 2.0k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (42 papers), Quantum Information and Cryptography (31 papers), Quantum-Dot Cellular Automata (22 papers), Formal Methods in Verification (12 papers), VLSI and FPGA Design Techniques (11 papers), Cryptography and Data Security (10 papers), VLSI and Analog Circuit Testing (10 papers) and Coding theory and cryptography (9 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computational Theory and Mathematics (470 citations), Hardware and Architecture (88 citations), Information Systems (266 citations) and Computer Vision and Pattern Recognition (209 citations). Guowu Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiaoyu Song, William N. N. Hung, Marek Perkowski, Xiaosong Zhang, Jin Yang, Lixin Duan, Fengmao Lv, Yan Zhang, Defu Lian and Xiaofen Wang. Their work appears in journals such as Quantum Information Processing, Foods, Theory of Computing Systems, Neurocomputing and IEEE Access.

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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