Junbin Zang

38 papers receiving 544 citations

Junbin Zang's Hit Papers

A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification 2023 · 75 citations
750+1+2Years since publication255075

Peers

Junbin Zang
Comparison fields: 5 of 85
  • Cardiology and Cardiovascular Medicine 144
  • Cognitive Neuroscience 109
  • Biomedical Engineering 208
  • Bioengineering 22
  • Signal Processing 38
Replace Rami Oweis with:
Rami Oweis Jordan
Rajni Rajni India
Kan Luo China
Dongyi Chen China
Zhichao Zhang China
Sairul Izwan Safie Malaysia
Jin-Su Kim South Korea
С. В. Селищев Russia
Yong Hyeon Yun South Korea
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Countries citing papers authored by Junbin Zang

Since Specialization
Citations

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

Fields of papers citing papers by Junbin Zang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification
Hit paper breakdown →
202375
2 201573
3 202340
4 202335
5 202228
6 202327
7 202223
8 202320
9 202319
10 202318
11 202217
12 202315
13 202215
14 202313
15 202312
16 202512
17 202112
18 202212
19 202111
20 20209

About Junbin Zang

Junbin Zang is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Cognitive Neuroscience, having authored 41 papers that have together received 561 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (9 papers), Phonocardiography and Auscultation Techniques (8 papers), EEG and Brain-Computer Interfaces (7 papers), ECG Monitoring and Analysis (7 papers), Conducting polymers and applications (4 papers), Music and Audio Processing (4 papers), Non-Invasive Vital Sign Monitoring (4 papers) and Gas Sensing Nanomaterials and Sensors (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (144 citations), Cognitive Neuroscience (109 citations), Biomedical Engineering (208 citations), Bioengineering (22 citations) and Signal Processing (38 citations). Junbin Zang has collaborated with scholars based in China, Puerto Rico and Hong Kong. Frequent co-authors include Chenyang Xue, Zhidong Zhang, Bingrong Xu, Cheng Lian, Zhigang Zeng, Libo Gao, Danfeng Cui, Zhenyin Hai, Hongyan Xu and Jun Liu. Their work appears in journals such as IEEE Sensors Journal, Biomedical Signal Processing and Control, Knowledge-Based Systems, IEEE Access and Journal of Materials Chemistry C.

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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