Ka-Ho Chow

1.2k total citations · 1 hit paper
39 papers, 699 citations indexed

About

Ka-Ho Chow is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ka-Ho Chow has authored 39 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. Recurrent topics in Ka-Ho Chow's work include Adversarial Robustness in Machine Learning (15 papers), Privacy-Preserving Technologies in Data (10 papers) and Anomaly Detection Techniques and Applications (8 papers). Ka-Ho Chow is often cited by papers focused on Adversarial Robustness in Machine Learning (15 papers), Privacy-Preserving Technologies in Data (10 papers) and Anomaly Detection Techniques and Applications (8 papers). Ka-Ho Chow collaborates with scholars based in United States, Hong Kong and China. Ka-Ho Chow's co-authors include Ling Liu, Wenqi Wei, Stacey Truex, Mehmet Emre Gürsoy, Yanzhao Wu, J. Alexander Bae, Margaret L. Loper, Calton Pu, Lei Yu and Qi Zhang and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Information Forensics and Security and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Ka-Ho Chow

37 papers receiving 676 citations

Hit Papers

LDP-Fed 2020 2026 2022 2024 2020 50 100 150 200 250
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. LDP-Fed
    2020 263 citations Stacey Truex, Ling Liu et al. The HKU Scholars Hub (University of Hong Kong) profile →

Peers

Ka-Ho Chow
Yilun Jin China
Alessandra Mileo Ireland
Xuebin Ren China
Jinyuan Jia China
Albert Orriols-Puig Spain
Yong Feng China
Feng Pan China
Yilun Jin China
Ka-Ho Chow
Citations per year, relative to Ka-Ho Chow Ka-Ho Chow (= 1×) peers Yilun Jin

Countries citing papers authored by Ka-Ho Chow

Since Specialization
Citations

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

Fields of papers citing papers by Ka-Ho Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ka-Ho Chow. 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 Ka-Ho Chow. The network helps show where Ka-Ho Chow may publish in the future.

Co-authorship network of co-authors of Ka-Ho Chow

This figure shows the co-authorship network connecting the top 25 collaborators of Ka-Ho Chow. A scholar is included among the top collaborators of Ka-Ho Chow 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 Ka-Ho Chow. Ka-Ho Chow 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.
Au, Man Ho, et al.. (2025). Toward owner governance in genomic data privacy with Governome. Cell Reports Methods. 5(9). 101171–101171.
2.
Huang, Tiansheng, et al.. (2024). ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain. 2807–2816. 7 indexed citations
3.
Chow, Ka-Ho, et al.. (2024). Diversity-driven Privacy Protection Masks Against Unauthorized Face Recognition. Proceedings on Privacy Enhancing Technologies. 2024(4). 381–392.
4.
Slota, George M., et al.. (2024). On the Robustness of Graph Reduction Against GNN Backdoor. 65–76. 2 indexed citations
5.
Chow, Ka-Ho, Tiansheng Huang, Wenqi Wei, et al.. (2024). Adaptive Deep Neural Network Inference Optimization with EENet. The HKU Scholars Hub (University of Hong Kong). 1362–1371. 4 indexed citations
6.
Chow, Ka-Ho, et al.. (2024). On the Efficiency of Privacy Attacks in Federated Learning. 4226–4235. 3 indexed citations
7.
Wei, Wenqi, Ling Liu, Jingya Zhou, Ka-Ho Chow, & Yanzhao Wu. (2023). Securing Distributed SGD Against Gradient Leakage Threats. IEEE Transactions on Parallel and Distributed Systems. 34(7). 2040–2054. 16 indexed citations
8.
Wei, Wenqi, Ka-Ho Chow, Yanzhao Wu, & Ling Liu. (2023). Demystifying Data Poisoning Attacks in Distributed Learning as a Service. IEEE Transactions on Services Computing. 17(1). 237–250. 4 indexed citations
9.
Wu, Yanzhao, Ka-Ho Chow, Wenqi Wei, & Ling Liu. (2023). Hierarchical Pruning of Deep Ensembles with Focal Diversity. ACM Transactions on Intelligent Systems and Technology. 15(1). 1–24. 2 indexed citations
10.
Wu, Yanzhao, Ka-Ho Chow, Wenqi Wei, & Ling Liu. (2023). Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. The HKU Scholars Hub (University of Hong Kong). 648–657. 3 indexed citations
11.
Huang, Tiansheng, et al.. (2023). Hierarchical Deep Neural Network Inference for Device-Edge-Cloud Systems. The HKU Scholars Hub (University of Hong Kong). 302–305. 3 indexed citations
12.
Gürsoy, Mehmet Emre, Ling Liu, Ka-Ho Chow, Stacey Truex, & Wenqi Wei. (2022). An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy. IEEE Transactions on Information Forensics and Security. 17. 1785–1799. 12 indexed citations
13.
Chow, Ka-Ho, et al.. (2021). Implicit Multimodal Crowdsourcing for Joint RF and Geomagnetic Fingerprinting. IEEE Transactions on Mobile Computing. 22(2). 935–950. 10 indexed citations
14.
Chow, Ka-Ho & Ling Liu. (2021). Perception Poisoning Attacks in Federated Learning. The HKU Scholars Hub (University of Hong Kong). 146–155. 9 indexed citations
15.
Chow, Ka-Ho, Ling Liu, Margaret L. Loper, et al.. (2020). Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems. The HKU Scholars Hub (University of Hong Kong). 263–272. 54 indexed citations
16.
Truex, Stacey, Ling Liu, Ka-Ho Chow, Mehmet Emre Gürsoy, & Wenqi Wei. (2020). LDP-Fed. The HKU Scholars Hub (University of Hong Kong). 61–66. 263 indexed citations breakdown →
17.
Liu, Ling, Wenqi Wei, Ka-Ho Chow, et al.. (2019). Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness. The HKU Scholars Hub (University of Hong Kong). 274–282. 38 indexed citations
18.
Chow, Ka-Ho, et al.. (2018). Efficient Locality Classification for Indoor Fingerprint-Based Systems. IEEE Transactions on Mobile Computing. 18(2). 290–304. 16 indexed citations
19.
Chow, Ka-Ho, et al.. (2011). Automatic Online Monitoring and Data-Mining Internet Forums. The HKU Scholars Hub (University of Hong Kong). 2004. 384–387. 2 indexed citations
20.
Chung, Ronald, et al.. (2005). Efficient block-based motion segmentation method using motion vector consistency. Machine Vision and Applications. 550–553. 9 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yilun Jin Breakdown of academic impact, for papers by Alessandra Mileo Breakdown of academic impact, for papers by Xuebin Ren Breakdown of academic impact, for papers by Jinyuan Jia Breakdown of academic impact, for papers by Albert Orriols-Puig Breakdown of academic impact, for papers by Yong Feng Breakdown of academic impact, for papers by Feng Pan
Rankless by CCL
2026