Guang-Bin Cui

827 citations
25 papers · 525 · h-index 11

Impact in

Papers in

Guang-Bin Cui

23 papers receiving 514 citations

Peers

Guang-Bin Cui
Comparison fields: 5 of 106
  • Gastroenterology 47
  • Anesthesiology and Pain Medicine 37
  • Computer Vision and Pattern Recognition 93
  • Sensory Systems 20
  • Cognitive Neuroscience 68
Replace Luca Guastini with:
Luca Guastini Italy
Atsushi Nishikawa Japan
Sveta Zinger Netherlands
Jonathan Gryak United States
Xiaoer Wei China
Alejandro Cosa‐Linan Germany
Erkan Zeki Engın Türkiye
K Mori Japan
Gustav Nilsson Sweden
Sharif Amit Kamran United States
Guang-Bin Cui relative to Luca Guastini Italy Luca Guastini's profile →
Citations per field
00.5×11.8×
Luca Guastini · 1×
Citations per year

Countries citing papers authored by Guang-Bin Cui

Since Specialization
Citations

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

Fields of papers citing papers by Guang-Bin Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang-Bin Cui. 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 Guang-Bin Cui. The network helps show where Guang-Bin Cui may publish in the future.

Co-authors

The 25 scholars most cited alongside Guang-Bin Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guang-Bin Cui Line = papers co-authored together Guang-Bin Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013156
2 201478
3 201641
4 201731
5 201929
6 202225
7 201425
8 202020
9 201015
10 201315
11 200913
12 202210
13 202210
14 20139
15 20238
16 20158
17 20227
18 20176
19 20245
20 20055

About Guang-Bin Cui

Guang-Bin Cui is a scholar working on Neurology, Pulmonary and Respiratory Medicine, Cognitive Neuroscience, Molecular Biology and Sensory Systems, having authored 25 papers that have together received 525 indexed citations. Recurring topics across this work include Vestibular and auditory disorders (4 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers), Gastrointestinal motility and disorders (2 papers), Pulmonary Hypertension Research and Treatments (2 papers), Neuroscience and Music Perception (2 papers), Music Therapy and Health (2 papers), Infectious Diseases and Mycology (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). The work is most often cited by research in Gastroenterology (47 citations), Anesthesiology and Pain Medicine (37 citations), Computer Vision and Pattern Recognition (93 citations), Sensory Systems (20 citations) and Cognitive Neuroscience (68 citations). Guang-Bin Cui has collaborated with scholars based in China and United States. Frequent co-authors include Wen Wang, Xi Jiang, Xiang Ji, Xintao Hu, Tianming Liu, Junwei Han, Kaiming Li, Dajiang Zhu, Lei Guo and Lin‐Feng Yan. Their work appears in journals such as Experimental and Toxicologic Pathology, Nutrition and Diabetes, Neural Plasticity, IEEE Transactions on Image Processing and PLoS ONE.

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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