Xiaolu Hou

621 citations
34 papers · 301 indexed · h-index 10

Impact in

Papers in

Xiaolu Hou

31 papers receiving 289 citations

Peers

Xiaolu Hou
Comparison fields: 5 of 52
  • Hardware and Architecture 122
  • Signal Processing 82
  • Artificial Intelligence 232
  • Computer Vision and Pattern Recognition 56
  • Software 10
Replace Marc F. Witteman with:
Marc F. Witteman Netherlands
Tobias Schneider Germany
Renaud Pacalet France
Jörn-Marc Schmidt Austria
A.F. Tenca United States
William Diehl United States
Jude Angelo Ambrose Australia
Ventzislav Nikov Belgium
Bilgiday Yuce United States
Weizhe Hua United States
Xiaolu Hou relative to Marc F. Witteman Netherlands Marc F. Witteman's profile →
Citations per field
00.5×4.5×
Marc F. Witteman · 1×
Citations per year

Countries citing papers authored by Xiaolu Hou

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolu Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20240
4 20232
5 202311
6 20234
7 20227
8 20222
9 20213
10 20219
11 20195
12 201912
13 20193
14 201910
15 20191
16 20187
17 20169
18 20126
19 20121
20 20123

About Xiaolu Hou

Xiaolu Hou is a scholar working on Hardware and Architecture, Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition and Applied Mathematics, having authored 34 papers that have together received 301 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (16 papers), Advanced Malware Detection Techniques (11 papers), Coding theory and cryptography (8 papers), Physical Unclonable Functions (PUFs) and Hardware Security (8 papers), Chaos-based Image/Signal Encryption (7 papers), Adversarial Robustness in Machine Learning (4 papers), Security and Verification in Computing (4 papers) and Meromorphic and Entire Functions (3 papers). The work is most often cited by research in Hardware and Architecture (122 citations), Signal Processing (82 citations), Artificial Intelligence (232 citations), Computer Vision and Pattern Recognition (56 citations) and Software (10 citations). Xiaolu Hou has collaborated with scholars based in Singapore, Slovakia and China. Frequent co-authors include Jakub Breier, Yang Liu, Shivam Bhasin, Dirmanto Jap, Лей Ма, Frédérique Oggier, Lei Ma, Romain Poussier, Martín Ochoa and Fuyuan Zhang. Their work appears in journals such as IACR Transactions on Cryptographic Hardware and Embedded Systems, IEEE Access, Comptes Rendus Mathématique, Journal of King Saud University - Science and IEEE Transactions on Dependable and Secure Computing.

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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