Hong Hu
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Information Systems top 5%
- Computer Networks and Communications top 5%
- Software top 5%
- Co-authors
- Zhenkai LiangPrateek SaxenaZheng Leong ChuaShweta ShindeTaesoo KimKangjie LuWenke LeeJinho Jung
- Topics
- Advanced Malware Detection Techniques (16 papers)Security and Verification in Computing (14 papers)Software Testing and Debugging Techniques (8 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Hong Hu
39 papers receiving 668 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 476
- Signal Processing 451
- Information Systems 240
- Computer Networks and Communications 216
- Software 150
Countries citing papers authored by Hong Hu
This map shows the geographic impact of Hong Hu'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 Hong Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Hu more than expected).
Fields of papers citing papers by Hong Hu
This network shows the impact of papers produced by Hong Hu. 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 Hong Hu. The network helps show where Hong Hu may publish in the future.
Co-authorship network of co-authors of Hong Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Hong Hu. A scholar is included among the top collaborators of Hong Hu 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 Hong Hu. Hong Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | Abusing hidden properties to attack the node.js ecosystem | 3 |
| 7 | Sharing more and checking less: Leveraging common input keywords to detect bugs in embedded systems | 13 |
| 8 | Preventing Use-After-Free Attacks with Fast Forward Allocation | 8 |
| 9 | 27 | |
| 10 | {RAZOR}: A Framework for Post-deployment Software Debloating | 17 |
| 11 | Fuzzification: Anti-Fuzzing Techniques | 12 |
| 12 | 7 | |
| 13 | 217 | |
| 14 | 13 | |
| 15 | Automatic generation of data-oriented exploits | 82 |
| 16 | 26 | |
| 17 | 1 | |
| 18 | Method of Olympic Emergency Evacuation Road Net Systematic Planning | 2 |
| 19 | 12 | |
| 20 | A Bayesian computational cognitive model | 1 |
About Hong Hu
Hong Hu is a scholar working on Software, Signal Processing and Radiological and Ultrasound Technology, having authored 41 papers that have together received 700 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (16 papers), Security and Verification in Computing (14 papers) and Software Testing and Debugging Techniques (8 papers). The work is most often cited by research in Signal Processing (451 citations), Software (150 citations) and Artificial Intelligence (476 citations). Hong Hu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zhenkai Liang, Prateek Saxena, Zheng Leong Chua, Shweta Shinde, Taesoo Kim, Kangjie Lu, Wenke Lee, Jinho Jung, Chenxiong Qian and Simon P. Chung. Their work appears in journals such as Nanoscale, IEEE Transactions on Software Engineering and Applied Mathematics and Computation.
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.