Ruxin Wang

70 papers receiving 1.4k citations

Ruxin Wang's Hit Papers

Boundary-aware context neural network for medical image segmentation 2022 · 139 citations
1390+2+4Years since publication100200300

Peers

Ruxin Wang
Comparison fields: 5 of 142
  • Cardiology and Cardiovascular Medicine 550
  • Cognitive Neuroscience 376
  • Computer Vision and Pattern Recognition 207
  • Artificial Intelligence 215
  • Neurology 50
Replace Tomasz Markiewicz with:
Tomasz Markiewicz Poland
Rekh Ram Janghel India
Arvind Kumar Tiwari India
Eduardo Luz Brazil
M. Muthu Rama Krishnan India
Yongfu Li China
Luiz Otávio Murta Brazil
Shivajirao M. Jadhav India
Shruti Jain India
Harikumar Rajaguru India
Ruxin Wang relative to Tomasz Markiewicz Poland Tomasz Markiewicz's profile →
Citations per field
00.5×5.6×
Tomasz Markiewicz · 1×
Citations per year

Countries citing papers authored by Ruxin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ruxin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multi-class Arrhythmia detection from 12-lead varied-length ECG using Attention-based Time-Incremental Convolutional Neural Network
Hit paper breakdown →
2019340
2
Boundary-aware context neural network for medical image segmentation
Hit paper breakdown →
2022139
3 2020136
4 202336
5 201434
6 201831
7 202129
8 201928
9 202328
10 201927
11 202026
12 202226
13 202024
14 201924
15 201623
16 202022
17 201922
18 202121
19 202220
20 202120

About Ruxin Wang

Ruxin Wang is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), ECG Monitoring and Analysis (7 papers), Diabetes Treatment and Management (5 papers), Heart Failure Treatment and Management (4 papers), Multimodal Machine Learning Applications (4 papers), AI in cancer detection (4 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (550 citations), Cognitive Neuroscience (376 citations), Computer Vision and Pattern Recognition (207 citations), Artificial Intelligence (215 citations) and Neurology (50 citations). Ruxin Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ye Li, Xiaomao Fan, Qihang Yao, Jikui Liu, Chaojie Ji, Shu‐Yuan Chen, Jianping Fan, Yunpeng Cai, Xiaofang Zhang and Lihong Wang. Their work appears in journals such as Frontiers in Endocrinology, Bioorganic Chemistry, Frontiers in Cardiovascular Medicine, IEEE Journal of Biomedical and Health Informatics and IEEE Transactions on Neural Networks and Learning 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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