Hua Wu

516 citations
62 papers · 289 · h-index 9

Impact in

Papers in

Hua Wu

50 papers receiving 276 citations

Peers

Hua Wu
Comparison fields: 5 of 44
  • Computer Networks and Communications 174
  • Signal Processing 70
  • Artificial Intelligence 174
  • Computer Vision and Pattern Recognition 48
  • Information Systems 35
Replace Hassan Mahdikhani with:
Hassan Mahdikhani Canada
Ashutosh Bhatia India
Zhiyi Tian Australia
Shan-Hung Wu Taiwan
Mohamed Sobh Egypt
Houda Jmila France
Changyou Xing China
Sufyan Al-Janabi Iraq
Muhamad Erza Aminanto Indonesia
Z. Muda Malaysia
Hua Wu relative to Hassan Mahdikhani Canada Hassan Mahdikhani's profile →
Citations per field
00.5×1.5×
Hassan Mahdikhani · 1×
Citations per year

Countries citing papers authored by Hua Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hua Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201945
2 202337
3 201623
4 202221
5 201913
6 202012
7 202310
8 202110
9 20188
10 20217
11 20227
12 20216
13 20206
14 20225
15 20225
16 20205
17 20235
18 20194
19 20233
20 20053

About Hua Wu

Hua Wu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 62 papers that have together received 289 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (34 papers), Network Security and Intrusion Detection (31 papers), Advanced Malware Detection Techniques (14 papers), Advanced Steganography and Watermarking Techniques (8 papers), Network Traffic and Congestion Control (6 papers), Software-Defined Networks and 5G (6 papers), Network Packet Processing and Optimization (5 papers) and Blockchain Technology Applications and Security (5 papers). The work is most often cited by research in Computer Networks and Communications (174 citations), Signal Processing (70 citations), Artificial Intelligence (174 citations), Computer Vision and Pattern Recognition (48 citations) and Information Systems (35 citations). Hua Wu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Guang Cheng, Xiaoyan Hu, Ruidong Li, Xinyan Xiao, Yuyang Zhou, Wenjie Gao, Wubin Pan, Yongning Tang, Shuyi Guo and Chengyu Fan. Their work appears in journals such as Computer Networks, IEEE Transactions on Network and Service Management, Computers & Security, IEEE Transactions on Information Forensics and Security and Digital Communications and Networks.

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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