David Lu
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
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- Network Security and Intrusion Detection
- Interconnection Networks and Systems
Papers in
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- Cardiac Fibrosis and Remodeling 5
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- Network Security and Intrusion Detection 3
- Co-authors
- Paul A. Insel (7 shared papers)Albert Kwon (3 shared papers)Srinivas Devadas (3 shared papers)Nakon Aroonsakool (3 shared papers)Utako Yokoyama (3 shared papers)Eddie Cheng (4 shared papers)Loren M. Brown (1 shared paper)Silvia Romano (1 shared paper)
- Journals
- The FASEB Journal (2 papers)Tissue Engineering Part C Methods (1 paper)Molecular Pharmacology (1 paper)Journal of Nanoparticle Research (1 paper)Clinical Science (1 paper)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
David Lu
24 papers receiving 740 citations
Peers
Comparison fields: 5 of 123
- Physiology 109
- Computer Networks and Communications 176
- Signal Processing 69
- Artificial Intelligence 198
- Cardiology and Cardiovascular Medicine 90
Countries citing papers authored by David Lu
This map shows the geographic impact of David Lu'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 David Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Lu more than expected).
Fields of papers citing papers by David Lu
This network shows the impact of papers produced by David Lu. 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 David Lu. The network helps show where David Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside David Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 148 | |
| 2 | 2012 | 140 | |
| 3 | 2012 | 74 | |
| 4 | Mathematical and Computer Modelling | 2011 | 47 |
| 5 | 2013 | 46 | |
| 6 | 2010 | 41 | |
| 7 | 2013 | 39 | |
| 8 | 2013 | 33 | |
| 9 | 2010 | 32 | |
| 10 | 2018 | 25 | |
| 11 | 2017 | 19 | |
| 12 | 2012 | 18 | |
| 13 | 2013 | 17 | |
| 14 | 2014 | 14 | |
| 15 | 2013 | 11 | |
| 16 | Var-CNN and DynaFlow: Improved Attacks and Defenses for Website Fingerprinting. | 2018 | 11 |
| 17 | 2022 | 10 | |
| 18 | 2014 | 8 | |
| 19 | 2019 | 8 | |
| 20 | Continuous Identity Verification through Keyboard Biometrics | 2005 | 6 |
About David Lu
David Lu is a scholar working on Cardiology and Cardiovascular Medicine, Computer Networks and Communications, Molecular Biology, Oncology and Physiology, having authored 26 papers that have together received 757 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (5 papers), Peptidase Inhibition and Analysis (4 papers), Adenosine and Purinergic Signaling (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), User Authentication and Security Systems (3 papers), Network Security and Intrusion Detection (3 papers), graph theory and CDMA systems (2 papers) and Advanced Malware Detection Techniques (2 papers). The work is most often cited by research in Physiology (109 citations), Computer Networks and Communications (176 citations), Signal Processing (69 citations), Artificial Intelligence (198 citations) and Cardiology and Cardiovascular Medicine (90 citations). David Lu has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Paul A. Insel, Albert Kwon, Srinivas Devadas, Nakon Aroonsakool, Utako Yokoyama, Eddie Cheng, Loren M. Brown, Silvia Romano, Fiona Murray and Aaron N. Snead. Their work appears in journals such as The FASEB Journal, Tissue Engineering Part C Methods, Molecular Pharmacology, Journal of Nanoparticle Research and Clinical Science.
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.