Weihong Han

1.5k citations
73 papers · 827 · h-index 13

Impact in

Papers in

Weihong Han

67 papers receiving 780 citations

Peers

Weihong Han
Comparison fields: 5 of 82
  • Signal Processing 224
  • Information Systems 426
  • Computer Networks and Communications 377
  • Artificial Intelligence 410
  • Statistical and Nonlinear Physics 85
Replace Aaron Harwood with:
Aaron Harwood Australia
Kai Zhao China
P. Santhi Thilagam India
Júlia Couto Brazil
Krishna Gade United States
Kevin A. Kwiat United States
Paris Carbone Sweden
Jim Webber United Kingdom
Asterios Katsifodimos Netherlands
Weihong Han relative to Aaron Harwood Australia Aaron Harwood's profile →
Citations per field
00.5×2.6×
Aaron Harwood · 1×
Citations per year

Countries citing papers authored by Weihong Han

Since Specialization
Citations

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

Fields of papers citing papers by Weihong Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002247
2 202158
3 202157
4 201953
5 202144
6 201927
7 201426
8 202221
9 201515
10 201915
11 202014
12 201213
13 202212
14 202012
15 202412
16 202311
17 201910
18 201810
19 20219
20 20229

About Weihong Han

Weihong Han is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Statistical and Nonlinear Physics, having authored 73 papers that have together received 827 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (32 papers), Advanced Malware Detection Techniques (20 papers), Anomaly Detection Techniques and Applications (17 papers), Complex Network Analysis Techniques (10 papers), Information and Cyber Security (9 papers), Topic Modeling (9 papers), Text and Document Classification Technologies (7 papers) and Web Data Mining and Analysis (6 papers). The work is most often cited by research in Signal Processing (224 citations), Information Systems (426 citations), Computer Networks and Communications (377 citations), Artificial Intelligence (410 citations) and Statistical and Nonlinear Physics (85 citations). Weihong Han has collaborated with scholars based in China, United States and Qatar. Frequent co-authors include Liu Liu, Calton Pu, Shudong Li, Xiaobo Wu, Zhihong Tian, Yan Jia, Dawei Zhao, Mohsen Guizani, Zhen Wang and Zhaoquan Gu. Their work appears in journals such as Cognitive Computation, IEEE Access, IEEE Transactions on Intelligent Transportation Systems, Wireless Communications and Mobile Computing and Simulation Modelling Practice and Theory.

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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