Anmin Fu

3.3k citations
135 papers · 2.3k · h-index 27

Impact in

    • Cryptography and Data Security
    • Privacy-Preserving Technologies in Data
    • Adversarial Robustness in Machine Learning
    • Cloud Data Security Solutions
    • Blockchain Technology Applications and Security

Papers in

    • Cryptography and Data Security 48
    • Privacy-Preserving Technologies in Data 34
    • Adversarial Robustness in Machine Learning 20
    • Security and Verification in Computing 12
    • Cloud Data Security Solutions 27

Anmin Fu

124 papers receiving 2.2k citations

Peers

Anmin Fu
Comparison fields: 5 of 85
  • Artificial Intelligence 1.6k
  • Information Systems 856
  • Computer Networks and Communications 620
  • Signal Processing 230
  • Health Informatics 15
Replace Li Xu with:
Li Xu China
Liangmin Wang China
Ian Molloy United States
Xiao Ling China
Valentina Casola Italy
Junjie Chen China
Feng Yan United States
Paul E. Utgoff United States
Rie Johnson United States
Anmin Fu relative to Li Xu China Li Xu's profile →
Citations per field
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Li Xu · 1×
Citations per year

Countries citing papers authored by Anmin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Anmin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020194
2 2020191
3 2017101
4 202091
5 202077
6 202072
7 201571
8 201960
9 201860
10 202056
11 201953
12 201747
13 202145
14 201242
15 202041
16 201939
17 201539
18 201737
19 201634
20 201632

About Anmin Fu

Anmin Fu is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing and Environmental Engineering, having authored 135 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cryptography and Data Security (48 papers), Privacy-Preserving Technologies in Data (34 papers), Cloud Data Security Solutions (27 papers), Adversarial Robustness in Machine Learning (20 papers), Advanced Malware Detection Techniques (17 papers), Advanced Authentication Protocols Security (13 papers), Security and Verification in Computing (12 papers) and Remote Sensing in Agriculture (11 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Information Systems (856 citations), Computer Networks and Communications (620 citations), Signal Processing (230 citations) and Health Informatics (15 citations). Anmin Fu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yuqing Zhang, Huaqun Wang, Shui Yu, Gongxuan Zhang, Chunyi Zhou, Xianglong Zhang, Yansong Gao, Mang Su, Zhenzhu Chen and Wei Yang. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, IEEE Transactions on Dependable and Secure Computing, IEEE Internet of Things Journal, Computers & Security and Journal of Network and Computer Applications.

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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