Hui Lu

1.4k citations
66 papers · 931 · h-index 17

Impact in

Papers in

Hui Lu

61 papers receiving 902 citations

Peers

Hui Lu
Comparison fields: 5 of 96
  • Signal Processing 239
  • Computer Networks and Communications 396
  • Artificial Intelligence 389
  • Information Systems 229
  • Software 33
Replace Suprio Ray with:
Suprio Ray Canada
Zahra Pooranian Italy
Haifeng Chen United States
Kuinam J. Kim South Korea
Mohammad Alsmirat Jordan
Tao Guo China
Jieren Cheng China
Chhabi Rani Panigrahi India
Hiroshi Esaki Japan
Philipp Richter Germany
Hui Lu relative to Suprio Ray Canada Suprio Ray's profile →
Citations per field
00.5×3.3×
Suprio Ray · 1×
Citations per year

Countries citing papers authored by Hui Lu

Since Specialization
Citations

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

Fields of papers citing papers by Hui Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019118
2 202078
3 202171
4 202065
5 201957
6 202151
7 202047
8 202031
9 201931
10 202029
11 202227
12 202026
13 202026
14 202125
15 202022
16 202319
17 201916
18 202014
19 202312
20 202410

About Hui Lu

Hui Lu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Electrical and Electronic Engineering, having authored 66 papers that have together received 931 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (21 papers), Network Security and Intrusion Detection (17 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Security and Verification in Computing (7 papers), Blockchain Technology Applications and Security (6 papers), Anomaly Detection Techniques and Applications (6 papers), IoT and Edge/Fog Computing (6 papers) and Software Testing and Debugging Techniques (5 papers). The work is most often cited by research in Signal Processing (239 citations), Computer Networks and Communications (396 citations), Artificial Intelligence (389 citations), Information Systems (229 citations) and Software (33 citations). Hui Lu has collaborated with scholars based in China, United States and Qatar. Frequent co-authors include Zhihong Tian, Yanbin Sun, Xiaojiang Du, Mohan Li, Mohsen Guizani, Sabita Maharjan, Lihua Yin, Chunsheng Zhu, Ning Hu and Shen Su. Their work appears in journals such as IEEE Access, IEEE Network, IEEE Internet of Things Journal, IEEE Transactions on Cloud Computing and IEEE Transactions on Network Science and Engineering.

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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