Long Lu
- Software top 1%
- Software Testing and Debugging Techniques 8
- Signal Processing top 0.5%
- Advanced Malware Detection Techniques 32
- Information Systems top 0.5%
- Artificial Intelligence top 1%
- Security and Verification in Computing 22
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks 14
- Protein Structure and Dynamics 8
- RNA and protein synthesis mechanisms 8
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- Autism Spectrum Disorder Research 8
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- Diabetes, Cardiovascular Risks, and Lipoproteins 8
- Co-authors
- Wenke LeeMark GersteinHui LüYu XiaJeffrey SkolnickPhilip M. KimW. Sean DavidsonGuofei Jiang
- Journals
- PLoS ONE (6 papers)Molecular & Cellular Proteomics (4 papers)Journal of Proteome Research (4 papers)
- Partner nations
- United StatesChinaMexico
In The Last Decade
Long Lu
135 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Software 469
- Signal Processing 1.2k
- Information Systems 815
- Artificial Intelligence 1.1k
- 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2023 | 8 | |
| 3 | 2022 | 0 | |
| 4 | PTAuth: Temporal Memory Safety via Robust Points-to Authentication. | 2021 | 2 |
| 5 | Finding Bugs Using Your Own Code: Detecting Functionally-similar yet Inconsistent Code | 2021 | 4 |
| 6 | Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps | 2021 | 1 |
| 7 | 2020 | 30 | |
| 8 | 2019 | 40 | |
| 9 | 2018 | 2 | |
| 10 | StreamBox-TZ: A Secure IoT Analytics Engine at the Edge. | 2018 | 1 |
| 11 | 2017 | 40 | |
| 12 | 2017 | 128 | |
| 13 | 2015 | 19 | |
| 14 | 2014 | 21 | |
| 15 | Jekyll on iOS: when benign apps become evil | 2013 | 67 |
| 16 | 2013 | 51 | |
| 17 | 2010 | 109 | |
| 18 | 2008 | 46 | |
| 19 | 2003 | 116 | |
| 20 | 2003 | 84 |
About Long Lu
Long Lu is a scholar working on Signal Processing, Software, Artificial Intelligence, Information Systems and Neurology, having authored 140 papers that have together received 5.2k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (32 papers), Security and Verification in Computing (22 papers), Bioinformatics and Genomic Networks (14 papers), Protein Structure and Dynamics (8 papers), RNA and protein synthesis mechanisms (8 papers), Autism Spectrum Disorder Research (8 papers), Software Testing and Debugging Techniques (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). The work is most often cited by research in Software (469 citations), Signal Processing (1.2k citations), Information Systems (815 citations), Artificial Intelligence (1.1k 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, Philip M. Kim, W. Sean Davidson, Guofei Jiang, Zhenyu Wu and Zhichun Li. Their work appears in journals such as PLoS ONE, Molecular & Cellular Proteomics, Journal of Proteome Research, 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.