Hong Hu

1.2k citations
41 papers · 700 indexed · h-index 13

Hong Hu

39 papers receiving 668 citations

Peers

Hong Hu
Comparison fields: 5 of 50
  • Signal Processing 451
  • Software 150
  • Artificial Intelligence 476
  • Hardware and Architecture 82
  • Information Systems 240
Replace Deian Stefan with:
Deian Stefan United States
Yeongjin Jang United States
Anh Nguyen‐Tuong United States
Kangjie Lu United States
Byoungyoung Lee South Korea
Sandeep Bhatkar United States
Matthias Neugschwandtner Austria
Danilo Bruschi Italy
Yueqiang Cheng United States
Dinakar Dhurjati United States
Hong Hu relative to Deian Stefan United States Deian Stefan's profile →
Citations per field
00.5×2.9×
Deian Stefan · 1×
Citations per year

Countries citing papers authored by Hong Hu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Hong Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hong Hu Line = papers co-authored together Hong Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20240
4 20241
5 20241
6
Abusing hidden properties to attack the node.js ecosystem
20213
7
Sharing more and checking less: Leveraging common input keywords to detect bugs in embedded systems
202113
8
Preventing Use-After-Free Attacks with Fast Forward Allocation
20218
9 202127
10
{RAZOR}: A Framework for Post-deployment Software Debloating
201917
11
Fuzzification: Anti-Fuzzing Techniques
201912
12 20177
13 2016217
14 201613
15
Automatic generation of data-oriented exploits
201582
16 201426
17 20131
18
Method of Olympic Emergency Evacuation Road Net Systematic Planning
20082
19 200812
20
A Bayesian computational cognitive model
20071

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), Software Testing and Debugging Techniques (8 papers), Human-Automation Interaction and Safety (4 papers), Network Security and Intrusion Detection (4 papers), Occupational Health and Safety Research (4 papers), Risk and Safety Analysis (4 papers) and Parallel Computing and Optimization Techniques (4 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.

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.

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