Huaming Chen

1.3k total citations · 2 hit papers
61 papers, 749 citations indexed

About

Huaming Chen is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Huaming Chen has authored 61 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 14 papers in Molecular Biology and 10 papers in Computer Networks and Communications. Recurrent topics in Huaming Chen's work include Bioinformatics and Genomic Networks (11 papers), Machine Learning in Bioinformatics (8 papers) and Adversarial Robustness in Machine Learning (7 papers). Huaming Chen is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Machine Learning in Bioinformatics (8 papers) and Adversarial Robustness in Machine Learning (7 papers). Huaming Chen collaborates with scholars based in Australia, China and United States. Huaming Chen's co-authors include Jun Shen, Binbin Yong, Fucun Li, Muhammad Ali Babar, Qingguo Zhou, Xin Liu, Muhammad Ali Babar, Qingguo Zhou, Triet Huynh Minh Le and Jiangning Song and has published in prestigious journals such as ACS Applied Materials & Interfaces, Small and Physical Chemistry Chemical Physics.

In The Last Decade

Huaming Chen

50 papers receiving 733 citations

Hit Papers

An intelligent blockchain-based system for safe vaccine s... 2019 2026 2021 2023 2019 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An intelligent blockchain-based system for safe vaccine supply and supervision
    2019 185 citations Jun Shen, Huaming Chen et al. profile →
  2. LineVD
    2022 111 citations Huaming Chen et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huaming Chen Australia 12 307 152 110 106 100 61 749
Yün Peng China 14 354 1.2× 457 3.0× 233 2.1× 87 0.8× 33 0.3× 46 948
Vijay Kumar India 18 333 1.1× 109 0.7× 230 2.1× 40 0.4× 30 0.3× 102 933
Alessio Bechini Italy 13 180 0.6× 285 1.9× 88 0.8× 28 0.3× 46 0.5× 49 770
Lei Xu United States 21 787 2.6× 417 2.7× 454 4.1× 77 0.7× 76 0.8× 142 1.4k
Javed Iqbal Pakistan 14 165 0.5× 218 1.4× 230 2.1× 109 1.0× 33 0.3× 53 618
Amjad Hudaib Jordan 16 358 1.2× 379 2.5× 222 2.0× 50 0.5× 86 0.9× 65 866
Andreas Ekelhart Austria 17 515 1.7× 220 1.4× 325 3.0× 103 1.0× 14 0.1× 50 959
Zhiliang Zhu China 17 422 1.4× 213 1.4× 373 3.4× 77 0.7× 34 0.3× 88 1.1k
Murat M. Tanik United States 15 199 0.6× 234 1.5× 88 0.8× 23 0.2× 103 1.0× 117 760
Arun Solanki India 12 192 0.6× 162 1.1× 90 0.8× 17 0.2× 23 0.2× 39 701

Countries citing papers authored by Huaming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Huaming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huaming Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Huaming Chen. A scholar is included among the top collaborators of Huaming Chen 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 Huaming Chen. Huaming Chen 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.
Chen, Huaming, et al.. (2025). Threats and Defenses in the Federated Learning Life Cycle: A Comprehensive Survey and Challenges. IEEE Transactions on Neural Networks and Learning Systems. 36(9). 15643–15663. 1 indexed citations
2.
3.
Chen, Huaming, et al.. (2024). MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 17228–17236. 3 indexed citations
4.
Li, Haibin, et al.. (2024). A novel high step‐up, low switching voltage stress DC‐DC converter using leakage inductance for resonant boosting. International Journal of Circuit Theory and Applications. 53(5). 2496–2520. 4 indexed citations
5.
Chen, Huaming, et al.. (2024). GEMF: a novel geometry-enhanced mid-fusion network for PLA prediction. Briefings in Bioinformatics. 25(4). 1 indexed citations
6.
Ding, Weiping, et al.. (2024). Contribution-wise Byzantine-robust aggregation for Class-Balanced Federated Learning. Information Sciences. 667. 120475–120475. 3 indexed citations
7.
Chen, Huaming, et al.. (2024). On Security Weaknesses and Vulnerabilities in Deep Learning Systems. IEEE Transactions on Dependable and Secure Computing. 22(3). 2243–2257. 1 indexed citations
8.
Zhang, Jiayu, et al.. (2024). Rethinking Transferable Adversarial Attacks With Double Adversarial Neuron Attribution. IEEE Transactions on Artificial Intelligence. 6(2). 354–364. 2 indexed citations
9.
Liu, Jessica, Huaming Chen, Jun Shen, & Kim‐Kwang Raymond Choo. (2024). FairCompass: Operationalizing Fairness in Machine Learning. IEEE Transactions on Artificial Intelligence. 6(2). 281–291. 4 indexed citations
10.
Chen, Huaming, Jun Zhuang, Wei Jin, et al.. (2024). Trustworthy and Responsible AI for Information and Knowledge Management System. 5574–5576.
11.
Chen, Huaming, et al.. (2023). Improving Adversarial Transferability via Frequency-based Stationary Point Search. Research Online (University of Wollongong). 3626–3635. 2 indexed citations
12.
Chen, Huaming, et al.. (2023). FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning. Research Online (University of Wollongong). 3657–3666.
13.
Chen, Huaming & Muhammad Ali Babar. (2023). Security for Machine Learning-based Software Systems: A Survey of Threats, Practices, and Challenges. ACM Computing Surveys. 56(6). 1–38. 13 indexed citations
14.
Sun, Ruoxi, et al.. (2023). Data Hiding With Deep Learning: A Survey Unifying Digital Watermarking and Steganography. IEEE Transactions on Computational Social Systems. 10(6). 2985–2999. 37 indexed citations
15.
Yuan, Dong, et al.. (2023). ICB FL: Implicit Class Balancing Towards Fairness in Federated Learning. 135–142. 1 indexed citations
16.
Chen, Huaming, et al.. (2023). Distributed Online Multi-Label Learning with Privacy Protection in Internet of Things. Applied Sciences. 13(4). 2713–2713.
17.
Zhang, Chenghao, et al.. (2022). FocalMatch: Mitigating Class Imbalance of Pseudo Labels in Semi-Supervised Learning. Applied Sciences. 12(20). 10623–10623. 4 indexed citations
18.
Le, Triet Huynh Minh, Huaming Chen, & Muhammad Ali Babar. (2022). A Survey on Data-driven Software Vulnerability Assessment and Prioritization. ACM Computing Surveys. 55(5). 1–39. 55 indexed citations
19.
Chen, Huaming, Jun Shen, Lei Wang, & Jiangning Song. (2020). A framework towards data analytics on host–pathogen protein–protein interactions. Journal of Ambient Intelligence and Humanized Computing. 11(11). 4667–4679. 10 indexed citations
20.
Chen, Huaming, William Guo, Jun Shen, Lei Wang, & Jiangning Song. (2018). Structural Principles Analysis of Host-Pathogen Protein-Protein Interactions: A Structural Bioinformatics Survey. IEEE Access. 6. 11760–11771. 11 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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