Wei Hu

2.9k citations
130 papers · 1.9k · h-index 22

Impact in

Papers in

    • Security and Verification in Computing 42
    • Cryptographic Implementations and Security 18
    • Sentiment Analysis and Opinion Mining 7
    • Physical Unclonable Functions (PUFs) and Hardware Security 55

Wei Hu

115 papers receiving 1.8k citations

Peers

Wei Hu
Comparison fields: 5 of 118
  • Hardware and Architecture 660
  • Signal Processing 585
  • Artificial Intelligence 1.2k
  • Computer Networks and Communications 520
  • Information Systems 374
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Wei Hu relative to Cliff Wang United States Cliff Wang's profile →
Citations per field
00.5×4.0×
Cliff Wang · 1×
Citations per year

Countries citing papers authored by Wei Hu

Since Specialization
Citations

This map shows the geographic impact of Wei 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 Wei Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Hu more than expected).

Fields of papers citing papers by Wei Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei 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 Wei Hu. The network helps show where Wei Hu may publish in the future.

Co-authors

The 25 scholars most cited alongside Wei 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 Wei Hu Line = papers co-authored together Wei Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008305
2 2013234
3 2020104
4 201793
5 201668
6 201254
7 202151
8 201146
9 201145
10 201234
11 201334
12 200933
13 201430
14 201229
15 201028
16 201428
17 201625
18 200525
19 201824
20 201223

About Wei Hu

Wei Hu is a scholar working on Artificial Intelligence, Hardware and Architecture, Signal Processing, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 130 papers that have together received 1.9k indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (55 papers), Security and Verification in Computing (42 papers), Advanced Malware Detection Techniques (36 papers), Cryptographic Implementations and Security (18 papers), Network Security and Intrusion Detection (15 papers), Complex Network Analysis Techniques (13 papers), Sentiment Analysis and Opinion Mining (7 papers) and Integrated Circuits and Semiconductor Failure Analysis (7 papers). The work is most often cited by research in Hardware and Architecture (660 citations), Signal Processing (585 citations), Artificial Intelligence (1.2k citations), Computer Networks and Communications (520 citations) and Information Systems (374 citations). Wei Hu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Ryan Kastner, Weiming Hu, Stephen J. Maybank, Armaiti Ardeshiricham, Zachary Miller, Jason Oberg, Brian P. Dickinson, Dejun Mu, Timothy Sherwood and Mohit Tiwari. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Access, Tsinghua Science & Technology, Electronics and IEEE Transactions on Information Forensics and Security.

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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