Jeff Huang
- Software top 0.5%
- Software Testing and Debugging Techniques 30
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques 39
- Signal Processing top 2%
- Advanced Malware Detection Techniques 19
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- Distributed systems and fault tolerance 20
- Software System Performance and Reliability 14
- Information Systems top 1%
- Software Engineering Research 10
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- Security and Verification in Computing 16
- Logic, programming, and type systems 5
Jeff Huang
71 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 49
- Software 663
- Hardware and Architecture 570
- Signal Processing 372
- Computer Networks and Communications 664
- Information Systems 546
Countries citing papers authored by Jeff Huang
This map shows the geographic impact of Jeff Huang'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 Jeff Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Huang more than expected).
Fields of papers citing papers by Jeff Huang
This network shows the impact of papers produced by Jeff Huang. 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 Jeff Huang. The network helps show where Jeff Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeff Huang, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 17 | |
| 5 | 2021 | 3 | |
| 6 | 2021 | 6 | |
| 7 | 2020 | 10 | |
| 8 | 2020 | 3 | |
| 9 | Iframes/Popups Are Dangerous in Mobile WebView: Studying and Mitigating Differential Context Vulnerabilities | 2019 | 6 |
| 10 | 2019 | 10 | |
| 11 | 2018 | 174 | |
| 12 | Towards production-run heisenbugs reproduction on commercial hardware | 2017 | 4 |
| 13 | Attacking the Brain: Races in the SDN Control Plane | 2017 | 40 |
| 14 | 2017 | 6 | |
| 15 | 2016 | 7 | |
| 16 | 2016 | 29 | |
| 17 | 2015 | 11 | |
| 18 | 2015 | 53 | |
| 19 | 2013 | 17 | |
| 20 | 2009 | 20 |
About Jeff Huang
Jeff Huang is a scholar working on Software, Hardware and Architecture and Signal Processing, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (39 papers), Software Testing and Debugging Techniques (30 papers), Distributed systems and fault tolerance (20 papers), Advanced Malware Detection Techniques (19 papers), Security and Verification in Computing (16 papers), Software System Performance and Reliability (14 papers), Software Engineering Research (10 papers) and Logic, programming, and type systems (5 papers). The work is most often cited by research in Software (663 citations), Hardware and Architecture (570 citations) and Signal Processing (372 citations). Jeff Huang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Charles Zhang, Gang Zhao, Grigore Roşu, Patrick Meredith, Julian Dolby, Wei Song, Peng Liu, Guofei Gu, Qingkai Shi and Chunrong Fang. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Software Engineering and SAE technical papers on CD-ROM/SAE technical paper series.
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.