Cliff Wang

3.3k citations
76 papers · 2.0k indexed · h-index 20

Cliff Wang

75 papers receiving 1.9k citations

Peers

Cliff Wang
Comparison fields: 5 of 82
  • Computer Networks and Communications 1.3k
  • Hardware and Architecture 318
  • Signal Processing 425
  • Information Systems 455
  • Artificial Intelligence 470
Replace Georg Carle with:
Georg Carle Germany
Chen Yan China
Robert Ricci United States
Chen Qian United States
Yuxiong He United States
Qi Shi United Kingdom
Kien A. Hua United States
Yoohwan Kim United States
Niki Pissinou United States
Adriano Valenzano Italy
Cliff Wang relative to Georg Carle Germany Georg Carle's profile →
Citations per field
00.5×1.5×
Georg Carle · 1×
Citations per year

Countries citing papers authored by Cliff Wang

Since Specialization
Citations

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

Fields of papers citing papers by Cliff Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20233
3 20196
4 20189
5 20171
6 20168
7 20161
8 20159
9 201489
10
Moving Target Defense: Creating Asymmetric Uncertainty for Cyber Threats - Volume 54
20131
11 201242
12 2011178
13 201032
14 201029
15
Securing Wireless Sensor Networks
20091
16 200898
17 20089
18
Botnet Detection: Countering the Largest Security Threat (Advances in Information Security)
20075
19
Secure Localization and Time Synchronization for Wireless Sensor and Ad Hoc Networks (Advances in Information Security)
200617
20
Malware Detection (Advances in Information Security)
20064

About Cliff Wang

Cliff Wang is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 76 papers that have together received 2.0k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (23 papers), Security in Wireless Sensor Networks (15 papers), Advanced Malware Detection Techniques (15 papers), Information and Cyber Security (11 papers), Opportunistic and Delay-Tolerant Networks (11 papers), Mobile Ad Hoc Networks (9 papers), Complex Network Analysis Techniques (7 papers) and Cybersecurity and Cyber Warfare Studies (7 papers). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Hardware and Architecture (318 citations) and Signal Processing (425 citations). Cliff Wang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Zhuo Lu, Wenye Wang, Mohammad Tehranipoor, Sushil Jajodia, Peng Ning, Vipin Swarup, Kun Sun, A. K. Ghosh, An Liu and Peng Liu. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Transactions on Dependable and Secure Computing, IEEE/ACM Transactions on Networking, IEEE Journal on Selected Areas in Communications and Journal of the Association for Information Systems.

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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2026