Jeff Huang
- Computer Networks and Communications top 2%
- Software top 0.5%
- Hardware and Architecture top 1%
- Information Systems top 1%
- Signal Processing top 2%
- Topics
- Parallel Computing and Optimization Techniques (39 papers)Software Testing and Debugging Techniques (30 papers)Distributed systems and fault tolerance (20 papers)
- Journals
- ACM Computing SurveysIEEE Transactions on Software EngineeringSAE technical papers on CD-ROM/SAE technical paper series
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Jeff Huang
71 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 49
- Computer Networks and Communications 664
- Software 663
- Hardware and Architecture 570
- Information Systems 546
- Signal Processing 372
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 of co-authors of Jeff Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Huang. A scholar is included among the top collaborators of Jeff Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeff Huang. Jeff Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | Iframes/Popups Are Dangerous in Mobile WebView: Studying and Mitigating Differential Context Vulnerabilities | 6 |
| 10 | 10 | |
| 11 | 174 | |
| 12 | Towards production-run heisenbugs reproduction on commercial hardware | 4 |
| 13 | Attacking the Brain: Races in the SDN Control Plane | 40 |
| 14 | 6 | |
| 15 | 7 | |
| 16 | 29 | |
| 17 | 11 | |
| 18 | 53 | |
| 19 | 17 | |
| 20 | 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) and Distributed systems and fault tolerance (20 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.