Xiaodong Cai

1.1k citations
76 papers · 773 indexed · h-index 15

Impact in

Papers in

Xiaodong Cai

68 papers receiving 759 citations

Peers

Xiaodong Cai
Comparison fields: 5 of 117
  • Neurology 175
  • Cellular and Molecular Neuroscience 145
  • Biological Psychiatry 16
  • Signal Processing 63
  • Neurology 46
Replace Fang Gao with:
Fang Gao China
Tuan D. Pham United States
Daniel Holden United States
Alexander Rauch Germany
Yin Xu China
Yoshihiro Murata Japan
Antonio Fasano Italy
Zhian Liu China
Ji‐Woong Choi South Korea
Xiaodong Cai relative to Fang Gao China Fang Gao's profile →
Citations per field
00.5×7.9×
Fang Gao · 1×
Citations per year

Countries citing papers authored by Xiaodong Cai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodong Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaodong Cai, 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 Xiaodong Cai Line = papers co-authored together Xiaodong Cai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20247
2 20242
3 20242
4 20236
5 202310
6 20230
7 20232
8
Nrf2 Inhibits the Progression of Parkinson’s Disease by Upregulating AABR07032261.5 to Repress Pyroptosis
202221
9 202124
10 202127
11 202115
12 202151
13 20196
14 20173
15 20179
16 20174
17 20175
18 201636
19
Analyzing clinical and electrophysiological characteristics of Paroxysmal Dyskinesia
20113
20
Image matching algorithm based on feature point set for satellite attitude calculation
20062

About Xiaodong Cai

Xiaodong Cai is a scholar working on Neurology, Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience, Signal Processing and Neurology, having authored 76 papers that have together received 773 indexed citations. Recurring topics across this work include Neurological disorders and treatments (16 papers), Parkinson's Disease Mechanisms and Treatments (15 papers), Topic Modeling (9 papers), Video Surveillance and Tracking Methods (6 papers), Nerve injury and regeneration (5 papers), Advanced Vision and Imaging (5 papers), Genetic Neurodegenerative Diseases (4 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Neurology (175 citations), Cellular and Molecular Neuroscience (145 citations), Biological Psychiatry (16 citations), Signal Processing (63 citations) and Neurology (46 citations). Xiaodong Cai has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Ali N. Akansu, Ling Long, Liemin Zhou, Ziyi Chen, Doudou Zhang, Jueqian Zhou, Hai Lin, Yiying Huang, Jinchi Liao and Xu Liu. Their work appears in journals such as World Neurosurgery, Symmetry, PLoS ONE, Medical Physics and Frontiers in Psychiatry.

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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