Dan Meng

2.4k citations
128 papers · 1.4k indexed · 1 hit paper · h-index 16
Topics
Advanced Malware Detection Techniques (28 papers)Security and Verification in Computing (24 papers)Network Security and Intrusion Detection (19 papers)

In The Last Decade

Dan Meng

111 papers receiving 1.4k citations

Hit Papers

High Capacity Reversible Data Hiding in Encrypted Images ...2015202620182022201550100150200250

Peers

Dan Meng
Comparison fields: 5 of 102
  • Artificial Intelligence 664
  • Computer Vision and Pattern Recognition 470
  • Computer Networks and Communications 411
  • Information Systems 279
  • Signal Processing 223
Replace H. Howie Huang with:
H. Howie Huang United States
Md. Mostofa Ali Patwary United States
Wook-Shin Han South Korea
Shirish Tatikonda United States
Kai Lü China
Takao Nishizeki Japan
Haijie Gu United States
Jun Huan United States
Stephen Tu United States
Blaine Nelson United States
Dan Meng relative to H. Howie Huang United States H. Howie Huang's profile →
Citations per field
00.5×1.7×
H. Howie Huang · 1×
Citations per year

Countries citing papers authored by Dan Meng

Since Specialization
Citations

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

Fields of papers citing papers by Dan Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Meng. A scholar is included among the top collaborators of Dan Meng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Meng. Dan Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 6
4 0
5 3
6 10
7 4
8 0
9 7
10 0
11 1
12 6
13 0
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15 12
16
Fast and Multilevel Semantic-Preserving Discrete Hashing.
5
17 32
18
A Survey of Code Reuse Attack and Defense Mechanisms
1
19
A Case Study for SOA System Rejuvenation.
2
20 2

About Dan Meng

Dan Meng is a scholar working on Signal Processing, Hardware and Architecture and Artificial Intelligence, having authored 128 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (28 papers), Security and Verification in Computing (24 papers) and Network Security and Intrusion Detection (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (470 citations), Signal Processing (223 citations) and Artificial Intelligence (664 citations). Dan Meng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaochun Cao, Xiaojie Guo, Ling Du, Xingxing Wei, Yu Wen, Fucheng Liu, Di Jin, Liang Yang, Rui Hou and Xinyu Xing. Their work appears in journals such as Genome biology, IEEE Access and IEEE Transactions on Cybernetics.

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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