Long Lu
Impact in
- Signal Processing top 0.5%
- Advanced Malware Detection Techniques
- Software top 1%
- Software Testing and Debugging Techniques
Papers in
-
- Bioinformatics and Genomic Networks 16
-
- Security and Verification in Computing 23
- Co-authors
- Wenke Lee (8 shared papers)Mark Gerstein (8 shared papers)Hui Lü (6 shared papers)Yu Xia (3 shared papers)Jeffrey Skolnick (3 shared papers)Guofei Jiang (2 shared papers)Zhenyu Wu (2 shared papers)Philip M. Kim (2 shared papers)
- Journals
- PLoS ONE (6 papers)Journal of Proteome Research (4 papers)Molecular & Cellular Proteomics (4 papers)Library Hi Tech (3 papers)BMC Genomics (3 papers)
- Partner nations
- United StatesChinaMexico
In The Last Decade
Long Lu
143 papers receiving 5.6k citations
Long Lu's Hit Papers
Peers
Comparison fields: 5 of 170
- Signal Processing 1.4k
- Software 525
- Information Systems 950
- Artificial Intelligence 1.2k
- Molecular Biology 2.0k
Countries citing papers authored by Long Lu
This map shows the geographic impact of Long 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 Long Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Lu more than expected).
Fields of papers citing papers by Long Lu
This network shows the impact of papers produced by Long 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 Long Lu. The network helps show where Long Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Long 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 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CHEX Hit paper breakdown → | 2012 | 481 |
| 2 | 2006 | 388 | |
| 3 | 2002 | 200 | |
| 4 | 2015 | 199 | |
| 5 | 2010 | 197 | |
| 6 | 2005 | 170 | |
| 7 | 2017 | 137 | |
| 8 | 2003 | 123 | |
| 9 | 2009 | 118 | |
| 10 | 2010 | 115 | |
| 11 | 2010 | 112 | |
| 12 | 2020 | 98 | |
| 13 | 2019 | 96 | |
| 14 | 2015 | 94 | |
| 15 | 2011 | 93 | |
| 16 | 2015 | 92 | |
| 17 | 2015 | 90 | |
| 18 | 2003 | 89 | |
| 19 | 2008 | 83 | |
| 20 | Jekyll on iOS: when benign apps become evil | 2013 | 80 |
About Long Lu
Long Lu is a scholar working on Molecular Biology, Artificial Intelligence, Signal Processing, Information Systems and Computer Networks and Communications, having authored 152 papers that have together received 5.7k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (37 papers), Security and Verification in Computing (23 papers), Bioinformatics and Genomic Networks (16 papers), Network Security and Intrusion Detection (10 papers), Autism Spectrum Disorder Research (8 papers), Computational Drug Discovery Methods (8 papers), Software Testing and Debugging Techniques (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). The work is most often cited by research in Signal Processing (1.4k citations), Software (525 citations), Information Systems (950 citations), Artificial Intelligence (1.2k citations) and Molecular Biology (2.0k citations). Long Lu has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Wenke Lee, Mark Gerstein, Hui Lü, Yu Xia, Jeffrey Skolnick, Guofei Jiang, Zhenyu Wu, Philip M. Kim, W. Sean Davidson and Zhichun Li. Their work appears in journals such as PLoS ONE, Journal of Proteome Research, Molecular & Cellular Proteomics, Library Hi Tech and BMC Genomics.
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.