Anmin Fu

3.2k total citations
134 papers, 2.3k citations indexed

About

Anmin Fu is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Anmin Fu has authored 134 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Artificial Intelligence, 41 papers in Information Systems and 33 papers in Computer Networks and Communications. Recurrent topics in Anmin Fu's work include Cryptography and Data Security (50 papers), Privacy-Preserving Technologies in Data (35 papers) and Cloud Data Security Solutions (28 papers). Anmin Fu is often cited by papers focused on Cryptography and Data Security (50 papers), Privacy-Preserving Technologies in Data (35 papers) and Cloud Data Security Solutions (28 papers). Anmin Fu collaborates with scholars based in China, Australia and United States. Anmin Fu's co-authors include Yuqing Zhang, Huaqun Wang, Shui Yu, Gongxuan Zhang, Xianglong Zhang, Mang Su, Yansong Gao, Zhenzhu Chen, Yansong Gao and Wei Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Expert Systems with Applications.

In The Last Decade

Anmin Fu

124 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anmin Fu China 26 1.5k 868 609 277 225 134 2.3k
Li Xu China 28 814 0.5× 699 0.8× 1.2k 1.9× 544 2.0× 200 0.9× 167 2.4k
Liangmin Wang China 27 1.0k 0.7× 781 0.9× 1.3k 2.1× 1.3k 4.8× 231 1.0× 173 2.8k
Paul E. Utgoff United States 21 1.5k 1.0× 539 0.6× 155 0.3× 47 0.2× 192 0.9× 49 2.3k
Guangchun Luo China 21 767 0.5× 579 0.7× 285 0.5× 157 0.6× 87 0.4× 95 2.1k
Jaroslav Frnda Slovakia 22 241 0.2× 118 0.1× 228 0.4× 223 0.8× 138 0.6× 107 1.2k
Hongseok Yang United Kingdom 25 1.3k 0.8× 521 0.6× 619 1.0× 60 0.2× 426 1.9× 96 2.1k
Jim Gray United States 18 401 0.3× 338 0.4× 804 1.3× 51 0.2× 642 2.9× 36 1.9k
Liang Hu China 20 368 0.2× 476 0.5× 582 1.0× 172 0.6× 70 0.3× 139 1.3k
Zhiguo Qu China 24 981 0.6× 250 0.3× 165 0.3× 110 0.4× 69 0.3× 107 1.6k
Noseong Park South Korea 17 525 0.3× 288 0.3× 307 0.5× 119 0.4× 186 0.8× 84 1.1k

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-authorship network of co-authors of Anmin Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Anmin Fu. A scholar is included among the top collaborators of Anmin Fu 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 Anmin Fu. Anmin Fu 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
1.
Gao, Yansong, Hua Ma, Zhi Zhang, et al.. (2025). Try to Poison My Deep Learning Data? Nowhere to Hide Your Trajectory Spectrum!. UWA Profiles and Research Repository (UWA). 1 indexed citations
2.
Fu, Anmin, et al.. (2025). Mapping Forest Aboveground Biomass Using Multi-Source Remote Sensing Data Based on the XGBoost Algorithm. Forests. 16(2). 347–347. 5 indexed citations
3.
Yang, S., et al.. (2025). DFirmSan: A lightweight dynamic memory sanitizer for Linux-based firmware. Computers & Security. 155. 104467–104467.
4.
Gao, Yansong, Anmin Fu, Kai Chen, et al.. (2025). TruVRF: Toward Triple-Granularity Verification on Machine Unlearning. IEEE Transactions on Information Forensics and Security. 20. 4844–4859. 1 indexed citations
5.
Gao, Yansong, et al.. (2025). Machine Unlearning: Taxonomy, Metrics, Applications, Challenges, and Prospects. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 13709–13729. 5 indexed citations
6.
Luo, Ting, Anmin Fu, Wei Yang, et al.. (2025). Just a little human intelligence feedback! Unsupervised learning assisted supervised learning data poisoning based backdoor removal. Computer Communications. 233. 108052–108052. 1 indexed citations
7.
Chen, Jie, et al.. (2024). Efficient and privacy-preserving outsourced unbounded inner product computation in cloud computing. Journal of Systems Architecture. 153. 103190–103190.
8.
Zhu, Yifan, Anmin Fu, Wei Yang, et al.. (2024). Towards robustness evaluation of backdoor defense on quantized deep learning models. Expert Systems with Applications. 255. 124599–124599. 5 indexed citations
9.
Yang, Shengyuan, et al.. (2024). CareFL: Contribution Guided Byzantine-Robust Federated Learning. IEEE Transactions on Information Forensics and Security. 19. 9714–9729. 4 indexed citations
10.
Zhang, Bo, et al.. (2024). A Survey on Advanced Persistent Threat Detection: A Unified Framework, Challenges, and Countermeasures. ACM Computing Surveys. 57(3). 1–36. 1 indexed citations
11.
Fu, Anmin, et al.. (2024). Sponge Attack Against Multi-Exit Networks With Data Poisoning. IEEE Access. 12. 33843–33851.
12.
Niu, Jun, Peng Liu, Chunhui Huang, et al.. (2024). Dual defense: Combining preemptive exclusion of members and knowledge distillation to mitigate membership inference attacks. SHILAP Revista de lepidopterología. 3(1). 68–90. 1 indexed citations
13.
Fu, Anmin, et al.. (2023). DMRA: Model Usability Detection Scheme Against Model-Reuse Attacks in the Internet of Things. IEEE Internet of Things Journal. 10(19). 16907–16916.
14.
Gao, Yansong, et al.. (2023). MLMSA: Multilabel Multiside-Channel-Information Enabled Deep Learning Attacks on APUF Variants. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(9). 2863–2876. 1 indexed citations
15.
Fu, Anmin, et al.. (2022). IMCSA: Providing Better Sequence Alignment Space for Industrial Control Protocol Reverse Engineering. Security and Communication Networks. 2022. 1–9. 3 indexed citations
16.
Fu, Anmin, et al.. (2022). FeSA: Automatic Federated Swarm Attestation on Dynamic Large-Scale IoT Devices. IEEE Transactions on Dependable and Secure Computing. 20(4). 2954–2969. 12 indexed citations
17.
Fu, Anmin, et al.. (2020). FogAuthChain: A secure location-based authentication scheme in fog computing environments using Blockchain. Computer Communications. 162. 212–224. 56 indexed citations
18.
19.
Fu, Anmin, et al.. (2020). Multicopy provable data possession scheme supporting data dynamics for cloud-based Electronic Medical Record system. Information Sciences. 545. 254–276. 41 indexed citations
20.
Fu, Anmin, et al.. (2010). A Fast Handover Authentication Mechanism Based on Ticket for IEEE 802.16m. IEEE Communications Letters. 14(12). 1134–1136. 30 indexed citations

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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