Jiaming Zhang

20 papers receiving 1.2k citations

Hit Papers

Analogue signal and image processing with large memristor...20172026202020232017250500750

Peers

Jiaming Zhang
Comparison fields: 5 of 41
  • Electrical and Electronic Engineering 1.2k
  • Cellular and Molecular Neuroscience 518
  • Artificial Intelligence 207
  • Cognitive Neuroscience 199
  • Polymers and Plastics 133
Replace Elia Ambrosi with:
Elia Ambrosi Italy
Alessandro Bricalli Italy
Navnidhi K. Upadhyay United States
Adrien F. Vincent France
Jose Cruz-Albrecht United States
S. R. Nandakumar United States
Alessandro Fumarola Switzerland
Radu Berdan United Kingdom
Bhaswar Chakrabarti United States
Jean Tomas France
Jiaming Zhang relative to Elia Ambrosi Italy Elia Ambrosi's profile →
Citations per field
00.5×1.5×2.1×
Elia Ambrosi · 1×
Citations per year

Countries citing papers authored by Jiaming Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Jiaming Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaming Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiaming Zhang. A scholar is included among the top collaborators of Jiaming 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 Jiaming Zhang. Jiaming 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 1
2 1
3 1
4 0
5 1
6 4
7 1
8 1
9 8
10 19
11
Analogue signal and image processing with large memristor crossbarsbreakdown →
986
12 1
13 2
14 203
15 5
16 0
17 7
18 2
19 1
20 29

About Jiaming Zhang

Jiaming Zhang is a scholar working on Electrical and Electronic Engineering, Energy Engineering and Power Technology and Human-Computer Interaction, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Photonic and Optical Devices (6 papers), Optical Network Technologies (6 papers) and Smart Grid and Power Systems (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (518 citations), Electrical and Electronic Engineering (1.2k citations) and Cognitive Neuroscience (199 citations). Jiaming Zhang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Catherine E. Graves, R. Stanley Williams, J. Joshua Yang, Zhiyong Li, Mark Barnell, Ning Ge, Qing Wu, Eric Montgomery, Noraica Dávila and Wenhao Song. Their work appears in journals such as Nano Letters, Journal of Lightwave Technology and Nature Electronics.

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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