Quan Ding
- Signal Processing top 5%
- Blind Source Separation Techniques 4
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- ECG Monitoring and Analysis 8
- Surgery top 10%
- Healthcare Technology and Patient Monitoring 5
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- Target Tracking and Data Fusion in Sensor Networks 11
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- Non-Invasive Vital Sign Monitoring 10
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- Distributed Sensor Networks and Detection Algorithms 7
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- EEG and Brain-Computer Interfaces 6
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- Fault Detection and Control Systems 5
- Co-authors
- Steven KayXiao HuYong BaiXiaorong ZhangRebeca Salas-BoniTina MammoneDaniel SchindlerAdelita Tinoco
- Journals
- IEEE Transactions on Signal Processing (4 papers)Physiological Measurement (3 papers)IEEE Transactions on Aerospace and Electronic Systems (3 papers)
- Partner nations
- United StatesChinaMexico
In The Last Decade
Quan Ding
46 papers receiving 770 citations
Peers
Comparison fields: 5 of 104
- Medical Laboratory Technology 77
- Signal Processing 120
- Cardiology and Cardiovascular Medicine 200
- Health Information Management 31
- Surgery 285
Countries citing papers authored by Quan Ding
This map shows the geographic impact of Quan Ding'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 Quan Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quan Ding more than expected).
Fields of papers citing papers by Quan Ding
This network shows the impact of papers produced by Quan Ding. 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 Quan Ding. The network helps show where Quan Ding may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Quan Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 2 | |
| 5 | 2018 | 5 | |
| 6 | 2017 | 38 | |
| 7 | 2016 | 4 | |
| 8 | 2016 | 23 | |
| 9 | 2016 | 11 | |
| 10 | 2016 | 6 | |
| 11 | 2015 | 19 | |
| 12 | 2015 | 6 | |
| 13 | 2014 | 285 | |
| 14 | 2014 | 3 | |
| 15 | 2014 | 1 | |
| 16 | 2013 | 24 | |
| 17 | 2013 | 3 | |
| 18 | 2013 | 23 | |
| 19 | 2012 | 4 | |
| 20 | 2012 | 7 |
About Quan Ding
Quan Ding is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Cardiology and Cardiovascular Medicine and Electrochemistry, having authored 49 papers that have together received 830 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (11 papers), Non-Invasive Vital Sign Monitoring (10 papers), ECG Monitoring and Analysis (8 papers), Distributed Sensor Networks and Detection Algorithms (7 papers), EEG and Brain-Computer Interfaces (6 papers), Fault Detection and Control Systems (5 papers), Healthcare Technology and Patient Monitoring (5 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Medical Laboratory Technology (77 citations), Signal Processing (120 citations), Cardiology and Cardiovascular Medicine (200 citations), Health Information Management (31 citations) and Surgery (285 citations). Quan Ding has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Steven Kay, Xiao Hu, Yong Bai, Xiaorong Zhang, Rebeca Salas-Boni, Tina Mammone, Daniel Schindler, Adelita Tinoco, Patricia Harris and Jessica K. Zègre‐Hemsey. Their work appears in journals such as IEEE Transactions on Signal Processing, Physiological Measurement, IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Biomedical Engineering and Journal of Media Literacy Education.
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.