Ruiqing Hou

615 total citations
10 papers, 415 citations indexed

About

Ruiqing Hou is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Sensory Systems. According to data from OpenAlex, Ruiqing Hou has authored 10 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Cognitive Neuroscience and 2 papers in Sensory Systems. Recurrent topics in Ruiqing Hou's work include Neural dynamics and brain function (3 papers), Memory and Neural Mechanisms (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Ruiqing Hou is often cited by papers focused on Neural dynamics and brain function (3 papers), Memory and Neural Mechanisms (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Ruiqing Hou collaborates with scholars based in China, United States and United Kingdom. Ruiqing Hou's co-authors include Hongmei Fan, Chengyu Li, Xiaowei Gu, Zhaoqin Chen, Yulei Chen, Shouliang Guan, Lei Gao, Yan Zhao, Mingde Du and Ying Fang and has published in prestigious journals such as Science, Neuron and Molecular and Cellular Biology.

In The Last Decade

Ruiqing Hou

7 papers receiving 411 citations

Peers

Ruiqing Hou
Comparison fields: 5 of 58
  • Cellular and Molecular Neuroscience 295
  • Cognitive Neuroscience 244
  • Electrical and Electronic Engineering 92
  • Biomedical Engineering 55
  • Molecular Biology 52
Replace Xiaowei Gu with:
Xiaowei Gu China
Elisa Bellistri Italy
Hannah R. Joo United States
Bifeng Wu China
Daniel G. McHail United States
Kevin M. Wood United States
Ryoma Hattori United States
Yuqi Ren China
Michele N. Insanally United States
Andrea Slézia Hungary
Xiaowei Gu China View profile →
Citations per field, relative to Ruiqing Hou
Ruiqing Hou · 1×
Citations per year, relative to Ruiqing Hou
Ruiqing Hou · 1×

Countries citing papers authored by Ruiqing Hou

Since Specialization
Citations

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

Fields of papers citing papers by Ruiqing Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiqing Hou

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 2
5 1
6 24
7 171
8 32
9 149
10 36

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