Feichi Zhou

5.0k citations
55 papers · 4.0k indexed · 4 hit papers · h-index 22
Topics
Advanced Memory and Neural Computing (28 papers)Semiconductor materials and devices (9 papers)Transition Metal Oxide Nanomaterials (8 papers)

In The Last Decade

Feichi Zhou

47 papers receiving 3.9k citations

Hit Papers

Optoelectronic resistive random access memory for neuromo...201920262021202320192020202220232505007501000

Peers

Feichi Zhou
Comparison fields: 5 of 99
  • Electrical and Electronic Engineering 3.3k
  • Materials Chemistry 1.1k
  • Cellular and Molecular Neuroscience 1.1k
  • Polymers and Plastics 750
  • Artificial Intelligence 612
Replace Jiewei Chen with:
Jiewei Chen Hong Kong
Qingqing Sun China
Haiyang Xu China
Yi Ren China
Guangdong Zhou China
Hussein Nili United States
Bobo Tian China
Xiaobing Yan China
Doo Seok Jeong South Korea
Feichi Zhou relative to Jiewei Chen Hong Kong Jiewei Chen's profile →
Citations per field
00.5×10×13.3×
Jiewei Chen · 1×
Citations per year

Countries citing papers authored by Feichi Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Feichi Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feichi Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Feichi Zhou. A scholar is included among the top collaborators of Feichi Zhou 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 Feichi Zhou. Feichi Zhou 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 0
2 4
3 0
4 5
5 7
6 0
7 0
8 0
9 0
10 27
11 1
12 66
13 34
14 10
15
Full hardware implementation of neuromorphic visual system based on multimodal optoelectronic resistive memory arrays for versatile image processingbreakdown →
129
16 7
17 14
18 21
19 8
20
Optoelectronic resistive random access memory for neuromorphic vision sensorsbreakdown →
1079

About Feichi Zhou

Feichi Zhou is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Cellular and Molecular Neuroscience, having authored 55 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (28 papers), Semiconductor materials and devices (9 papers) and Transition Metal Oxide Nanomaterials (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Electrical and Electronic Engineering (3.3k citations) and Polymers and Plastics (750 citations). Feichi Zhou has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yang Chai, Jiewei Chen, Jingli Wang, H.‐S. Philip Wong, Ziyuan Lin, Ning Zhang, Shimeng Yu, Zheng Zhou, Jinfeng Kang and Mengye Wang. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.

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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