Shaobin Chen

1.0k citations
54 papers · 667 indexed · 1 hit paper · h-index 14

Impact in

Papers in

Shaobin Chen

43 papers receiving 658 citations

Hit Papers

A signature of saliva-derived exosomal small RNAs as predicting biomarker for esophageal carcinoma: a multicenter prospective study 2022 · 145 citations
14520222026202320244080120

Peers

Shaobin Chen
Comparison fields: 5 of 114
  • Cancer Research 123
  • Computer Vision and Pattern Recognition 113
  • Neurology 41
  • Media Technology 38
  • Artificial Intelligence 114
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Pei Chen China
Jean Gao United States
Jianfu Xia China
Xiaolei Qu China
Ran Zheng China
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Shaobin Chen relative to Pei Chen China Pei Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Shaobin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shaobin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A signature of saliva-derived exosomal small RNAs as predicting biomarker for esophageal carcinoma: a multicenter prospective study
Hit paper breakdown →
2022145
2 201563
3 202252
4 201941
5 202334
6 200929
7 201426
8 202124
9 201823
10 202419
11 202318
12 201518
13 201918
14 201917
15 202013
16 202313
17 201912
18 20179
19 20248
20 20198

About Shaobin Chen

Shaobin Chen is a scholar working on Space and Planetary Science, Control and Systems Engineering, Media Technology, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 54 papers that have together received 667 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (7 papers), Stability and Control of Uncertain Systems (6 papers), Neural Networks Stability and Synchronization (6 papers), Adaptive Control of Nonlinear Systems (5 papers), Retinopathy of Prematurity Studies (4 papers), Retinal Imaging and Analysis (4 papers), Neonatal and fetal brain pathology (3 papers) and Sensorless Control of Electric Motors (3 papers). The work is most often cited by research in Cancer Research (123 citations), Computer Vision and Pattern Recognition (113 citations), Neurology (41 citations), Media Technology (38 citations) and Artificial Intelligence (114 citations). Shaobin Chen has collaborated with scholars based in China, Macao and Netherlands. Frequent co-authors include Wenchao Huang, Wei Lin, Mingwei Wang, Zhiwei Ye, Hao Zhang, Lu Wang, Baiying Lei, Fuyou Zhou, Junkuo Li and Kai Li. Their work appears in journals such as Neurocomputing, International Journal of Molecular Sciences, IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics and Knowledge-Based Systems.

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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