Yahui Zhang

1.3k citations
40 papers · 846 indexed · h-index 16
Topics
Neural Networks and Reservoir Computing (30 papers)Advanced Memory and Neural Computing (19 papers)Optical Network Technologies (19 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsCarbon

In The Last Decade

Yahui Zhang

35 papers receiving 781 citations

Peers

Yahui Zhang
Comparison fields: 5 of 54
  • Electrical and Electronic Engineering 672
  • Artificial Intelligence 534
  • Aerospace Engineering 144
  • Cognitive Neuroscience 132
  • Biomedical Engineering 104
Replace Aida Todri‐Sanial with:
Aida Todri‐Sanial France
Alessandro Fumarola Switzerland
Abdulhamid Zahedi Iran
Christophe Loyez France
Riduan Khaddam-Aljameh Switzerland
S. G. Hu China
Martin Fiers Belgium
Xiaobin Wang China
Abhishek Khanna United States
G. A. Fonseca Guerra Brazil
Yahui Zhang relative to Aida Todri‐Sanial France Aida Todri‐Sanial's profile →
Citations per field
00.5×10×15×18×
Aida Todri‐Sanial · 1×
Citations per year

Countries citing papers authored by Yahui Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Yahui Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yahui Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Yahui Zhang. A scholar is included among the top collaborators of Yahui Zhang 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 Yahui Zhang. Yahui Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 0
3 2
4 7
5 2
6 1
7 1
8 0
9 12
10 5
11 74
12 23
13 77
14 82
15 40
16 43
17 34
18 17
19 26
20 25

About Yahui Zhang

Yahui Zhang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 40 papers that have together received 846 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (30 papers), Advanced Memory and Neural Computing (19 papers) and Optical Network Technologies (19 papers). The work is most often cited by research in Artificial Intelligence (534 citations), Electrical and Electronic Engineering (672 citations) and Cognitive Neuroscience (132 citations). Yahui Zhang has collaborated with scholars based in China, United Kingdom and France. Frequent co-authors include Shuiying Xiang, Yue Hao, Xingxing Guo, Bian Wu, Aijun Wen, Ziwei Song, Yutong Zhao, Daping He, Rongguo Song and Chi Fan. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Carbon.

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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