Ruxin Wang

73 papers receiving 1.5k citations

Ruxin Wang's Hit Papers

Boundary-aware context neural network for medical image segmentation 2022 · 150 citations
1500+2+4Years since publication100200300

Peers

Ruxin Wang
Comparison fields: 5 of 140
  • Cardiology and Cardiovascular Medicine 536
  • Cognitive Neuroscience 362
  • Computer Vision and Pattern Recognition 213
  • Artificial Intelligence 211
  • Health Informatics 8
Replace Tomasz Markiewicz with:
Tomasz Markiewicz Poland
Hari Mohan India
Rekh Ram Janghel India
Arvind Kumar Tiwari India
Padmavathi Kora India
Lim Choo Min Singapore
Yongfu Li China
Manuel G. Penedo Spain
Harikumar Rajaguru India
Costas Papaloukas Greece
Ruxin Wang relative to Tomasz Markiewicz Poland Tomasz Markiewicz's profile →
Citations per field
00.5×10×15.3×
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 77 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 →
2019348
2
Boundary-aware context neural network for medical image segmentation
Hit paper breakdown →
2022150
3 2020140
4 202343
5 201435
6 202332
7 201831
8 202129
9 202228
10 201928
11 202027
12 201927
13 202025
14 201925
15 202023
16 201623
17 201922
18 202122
19 202222
20 201922

About Ruxin Wang

Ruxin Wang is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Molecular Biology and Cognitive Neuroscience, having authored 77 papers that have together received 1.5k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), ECG Monitoring and Analysis (7 papers), Multimodal Machine Learning Applications (4 papers), AI in cancer detection (4 papers), Diabetes Treatment and Management (4 papers), Face and Expression Recognition (3 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (536 citations), Cognitive Neuroscience (362 citations), Computer Vision and Pattern Recognition (213 citations), Artificial Intelligence (211 citations) and Health Informatics (8 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, Jianping Fan, Shu‐Yuan Chen, Jianping Fan, Yunpeng Cai and Xiaofang Zhang. Their work appears in journals such as Frontiers in Endocrinology, Frontiers in Cardiovascular Medicine, Bioorganic Chemistry, Neurocomputing and IEEE Journal of Biomedical and Health Informatics.

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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