Ruizhi Wang

1.3k citations
35 papers · 1.1k indexed · 1 hit paper · h-index 14
Topics
Perovskite Materials and Applications (8 papers)Conducting polymers and applications (6 papers)Organic Electronics and Photovoltaics (5 papers)

In The Last Decade

Ruizhi Wang

32 papers receiving 1.1k citations

Hit Papers

Nociceptive neurons promote gastric tumour progression vi...202520262025510152025

Peers

Ruizhi Wang
Comparison fields: 5 of 79
  • Electrical and Electronic Engineering 829
  • Materials Chemistry 327
  • Polymers and Plastics 326
  • Cellular and Molecular Neuroscience 141
  • Atomic and Molecular Physics, and Optics 98
Replace M. Ambrico with:
M. Ambrico Italy
Yankun Wang China
Kui Zhou China
Hyejung Choi South Korea
Shashi Paul United Kingdom
Young Tack Lee South Korea
Serban F. Peteu United States
V. Augelli Italy
Pankaj Kumar India
Joohyung Lee South Korea
Ruizhi Wang relative to M. Ambrico Italy M. Ambrico's profile →
Citations per field
00.5×3.5×
M. Ambrico · 1×
Citations per year

Countries citing papers authored by Ruizhi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ruizhi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruizhi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruizhi Wang. A scholar is included among the top collaborators of Ruizhi Wang 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 Ruizhi Wang. Ruizhi Wang 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
Nociceptive neurons promote gastric tumour progression via a CGRP–RAMP1 axisbreakdown →
29
3 0
4 6
5 12
6 0
7 2
8 25
9 1
10 4
11 39
12 1
13 169
14 8
15 46
16 51
17 10
18 21
19 74
20
A framework and token passing model for continuous speech recognition with dynamic Bayesian networks
1

About Ruizhi Wang

Ruizhi Wang is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering and Behavioral Neuroscience, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (8 papers), Conducting polymers and applications (6 papers) and Organic Electronics and Photovoltaics (5 papers). The work is most often cited by research in Polymers and Plastics (326 citations), Electrical and Electronic Engineering (829 citations) and Cellular and Molecular Neuroscience (141 citations). Ruizhi Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jia Huang, Junyao Zhang, Chuang Zhang, Z. Valy Vardeny, Dali Sun, Zhi Yu, Patrick Odenthal, Xugang Guo, Yumin Tang and Shaohua Ling. Their work appears in journals such as Nature, Advanced Materials and ACS Applied Materials & Interfaces.

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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