Ya‐Nan Zhong

2.1k total citations · 3 hit papers
54 papers, 1.7k citations indexed

About

Ya‐Nan Zhong is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ya‐Nan Zhong has authored 54 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Electrical and Electronic Engineering, 19 papers in Polymers and Plastics and 15 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ya‐Nan Zhong's work include Advanced Memory and Neural Computing (33 papers), Conducting polymers and applications (18 papers) and Neural Networks and Reservoir Computing (9 papers). Ya‐Nan Zhong is often cited by papers focused on Advanced Memory and Neural Computing (33 papers), Conducting polymers and applications (18 papers) and Neural Networks and Reservoir Computing (9 papers). Ya‐Nan Zhong collaborates with scholars based in China, Macao and United Kingdom. Ya‐Nan Zhong's co-authors include Huaqiang Wu, Jianshi Tang, He Qian, Bin Gao, Xinyi Li, Sui‐Dong Wang, Jianlong Xu, Xu Gao, Xiangpeng Liang and Tian Wang and has published in prestigious journals such as Advanced Materials, Nature Communications and ACS Nano.

In The Last Decade

Ya‐Nan Zhong

50 papers receiving 1.6k citations

Hit Papers

Dynamic memristor-based reservoir computing for high-effi... 2021 2026 2022 2024 2021 2022 2024 100 200 300 400

Peers

Ya‐Nan Zhong
Comparison fields: 5 of 80
  • Electrical and Electronic Engineering 1.5k
  • Artificial Intelligence 695
  • Cognitive Neuroscience 386
  • Cellular and Molecular Neuroscience 361
  • Materials Chemistry 227
Replace Gianluca Milano with:
Gianluca Milano Italy
Fabien Alibart France
Yijun Li China
Bingjie Dang China
Tianqing Wan China
Zhanpeng Wang China
Zuheng Wu China
Adnan Mehonić United Kingdom
Jiadi Zhu China
Gianluca Milano Italy View profile →
Citations per field, relative to Ya‐Nan Zhong
Ya‐Nan Zhong · 1×
Citations per year, relative to Ya‐Nan Zhong
Ya‐Nan Zhong · 1×

Countries citing papers authored by Ya‐Nan Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Ya‐Nan Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya‐Nan Zhong. 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 Ya‐Nan Zhong. The network helps show where Ya‐Nan Zhong may publish in the future.

Co-authorship network of co-authors of Ya‐Nan Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Ya‐Nan Zhong. A scholar is included among the top collaborators of Ya‐Nan Zhong 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 Ya‐Nan Zhong. Ya‐Nan Zhong 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
# Work Indexed citations
1 1
2 0
3 0
4
Physical reservoir computing with emerging electronics breakdown →
101
5 0
6 1
7 1
8 5
9 6
10 6
11 3
12 4
13 88
14 8
15
A memristor-based analogue reservoir computing system for real-time and power-efficient signal processing breakdown →
221
16 13
17
Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing breakdown →
428
18 31
19 5
20 34

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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2026