Min Long

2.6k citations
105 papers · 1.8k · h-index 25

Impact in

    • Advanced Steganography and Watermarking Techniques
    • Digital Media Forensic Detection
    • Chaos-based Image/Signal Encryption
    • Face recognition and analysis
    • Generative Adversarial Networks and Image Synthesis
    • Face and Expression Recognition
    • Biometric Identification and Security
    • Video Coding and Compression Technologies

Papers in

    • Advanced Steganography and Watermarking Techniques 49
    • Digital Media Forensic Detection 41
    • Chaos-based Image/Signal Encryption 39
    • Face recognition and analysis 25
    • Generative Adversarial Networks and Image Synthesis 12
    • Face and Expression Recognition 9
    • Biometric Identification and Security 24
    • Video Coding and Compression Technologies 8

Min Long

100 papers receiving 1.7k citations

Peers

Min Long
Comparison fields: 5 of 105
  • Computer Vision and Pattern Recognition 1.4k
  • Signal Processing 389
  • Computer Graphics and Computer-Aided Design 64
  • Media Technology 122
  • Artificial Intelligence 254
Replace Fei Peng with:
Fei Peng China
John R. Kender United States
Guorui Feng China
Zhenjun Tang China
Shabir A. Parah India
Slava Voloshynovskiy Switzerland
Arun Mallya United States
Geng Zhao China
Xiangwei Kong China
Min Long relative to Fei Peng China Fei Peng's profile →
Citations per field
00.5×1.5×
Fei Peng · 1×
Citations per year

Countries citing papers authored by Min Long

Since Specialization
Citations

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

Fields of papers citing papers by Min Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018170
2 201768
3 201365
4 201965
5 201664
6 201860
7 201954
8 201753
9 201949
10 201147
11 201946
12 202243
13 201840
14 201640
15 201739
16
A Box-Counting Method with Adaptable Box Height for Measuring the Fractal Feature of Images
201336
17 202135
18 201130
19 201030
20 201830

About Min Long

Min Long is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Electrical and Electronic Engineering and Artificial Intelligence, having authored 105 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (49 papers), Digital Media Forensic Detection (41 papers), Chaos-based Image/Signal Encryption (39 papers), Face recognition and analysis (25 papers), Biometric Identification and Security (24 papers), Generative Adversarial Networks and Image Synthesis (12 papers), Face and Expression Recognition (9 papers) and Video Coding and Compression Technologies (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Signal Processing (389 citations), Computer Graphics and Computer-Aided Design (64 citations), Media Technology (122 citations) and Artificial Intelligence (254 citations). Min Long has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Fei Peng, Xiang Zhang, Xingming Sun, Yan Zeng, Xiaowen Zhu, Yunfei Chen, Guan-Fu Chen, Yin Zhu, Xiong Xiao and Yu Zhao. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Information Forensics and Security, Multimedia Tools and Applications, Signal Processing Image Communication and IEEE Transactions on Multimedia.

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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