Xiaomin Ouyang

623 total citations
19 papers, 425 citations indexed

About

Xiaomin Ouyang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Building and Construction. According to data from OpenAlex, Xiaomin Ouyang has authored 19 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Building and Construction. Recurrent topics in Xiaomin Ouyang's work include Privacy-Preserving Technologies in Data (7 papers), Context-Aware Activity Recognition Systems (4 papers) and Traffic Prediction and Management Techniques (3 papers). Xiaomin Ouyang is often cited by papers focused on Privacy-Preserving Technologies in Data (7 papers), Context-Aware Activity Recognition Systems (4 papers) and Traffic Prediction and Management Techniques (3 papers). Xiaomin Ouyang collaborates with scholars based in Hong Kong, United States and China. Xiaomin Ouyang's co-authors include Guoliang Xing, Jiayu Zhou, Zhiyuan Xie, Jianwei Huang, Mani Srivastava, Xiaoming Liu, Peng Sun, Pengchao Han, Ningning Ding and Bing Luo and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Network and ACM Transactions on Sensor Networks.

In The Last Decade

Xiaomin Ouyang

17 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaomin Ouyang Hong Kong	9	277	134	94	75	45	19	425
Zhiyuan Xie Hong Kong	6	197 0.7×	101 0.8×	64 0.7×	57 0.8×	32 0.7×	8	300
Haozhao Wang China	12	277 1.0×	79 0.6×	118 1.3×	81 1.1×	28 0.6×	53	418
Shiqi Jiang China	10	83 0.3×	130 1.0×	80 0.9×	72 1.0×	41 0.9×	23	322
Xuan Gong China	10	211 0.8×	90 0.7×	35 0.4×	28 0.4×	12 0.3×	26	326
A.K.M. Muzahidul Islam Bangladesh	10	175 0.6×	47 0.4×	58 0.6×	22 0.3×	14 0.3×	26	323
Zahraa S. Abdallah United Kingdom	8	155 0.6×	162 1.2×	87 0.9×	40 0.5×	48 1.1×	20	361
Pallav Kumar Deb India	11	141 0.5×	31 0.2×	195 2.1×	80 1.1×	22 0.5×	27	358
Tianxi Ji United States	9	210 0.8×	49 0.4×	123 1.3×	38 0.5×	9 0.2×	24	360
Wenzhong Guo China	8	106 0.4×	78 0.6×	60 0.6×	55 0.7×	41 0.9×	28	274
Saumay Pushp South Korea	7	101 0.4×	92 0.7×	137 1.5×	90 1.2×	22 0.5×	16	316

Countries citing papers authored by Xiaomin Ouyang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaomin Ouyang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaomin Ouyang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomin Ouyang. A scholar is included among the top collaborators of Xiaomin Ouyang 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 Xiaomin Ouyang. Xiaomin Ouyang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Ouyang, Xiaomin, et al.. (2025). SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 25–30.

Ouyang, Xiaomin, et al.. (2025). Towards a Performance-Driven Device-Edge-Cloud Relationship. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 125–125.

Ouyang, Xiaomin, et al.. (2025). An Overview on Economic Analysis of Internet of Everything. IEEE Communications Surveys & Tutorials. 27(6). 3742–3771. 1 indexed citations

Ouyang, Xiaomin, et al.. (2025). MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 491–503. 2 indexed citations

Wang, Tianshi, et al.. (2025). InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3084–3095. 1 indexed citations

Ouyang, Xiaomin, et al.. (2024). Fedkit: Enabling Cross-Platform Federated Learning for Android and iOS. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–2. 2 indexed citations

Ouyang, Xiaomin, et al.. (2024). Are Time Series Foundation Models Ready to Revolutionize Predictive Building Analytics?. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 169–173. 1 indexed citations

Ouyang, Xiaomin, Xifan Zhang, Hazel Mok, et al.. (2024). ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 404–419. 22 indexed citations

Ouyang, Xiaomin & Mani Srivastava. (2024). LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 9–14. 8 indexed citations

10.

Xie, Zhiyuan, et al.. (2023). Mozart: A Mobile ToF System for Sensing in the Dark through Phase Manipulation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 163–176. 5 indexed citations

11.

Luo, Bing, Pengchao Han, Peng Sun, et al.. (2023). Optimization Design for Federated Learning in Heterogeneous 6G Networks. IEEE Network. 37(2). 38–43. 19 indexed citations

12.

Ouyang, Xiaomin. (2023). Design and Deployment of Multi-Modal Federated Learning Systems for Alzheimer's Disease Monitoring. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 612–614. 6 indexed citations

13.

Ouyang, Xiaomin, et al.. (2023). Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 530–543. 33 indexed citations

14.

Xie, Zhiyuan, et al.. (2022). HiToF. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 764–765. 3 indexed citations

15.

Ouyang, Xiaomin, et al.. (2022). Cosmo. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 324–337. 57 indexed citations

16.

Ouyang, Xiaomin, Zhiyuan Xie, Jiayu Zhou, Guoliang Xing, & Jianwei Huang. (2022). ClusterFL: A Clustering-based Federated Learning System for Human Activity Recognition. ACM Transactions on Sensor Networks. 19(1). 1–32. 43 indexed citations

17.

Ouyang, Xiaomin, et al.. (2021). FedDL. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 15–28. 64 indexed citations

18.

Ouyang, Xiaomin, Zhiyuan Xie, Jiayu Zhou, Jianwei Huang, & Guoliang Xing. (2021). ClusterFL. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 54–66. 148 indexed citations

19.

Xie, Zhiyuan, Xiaomin Ouyang, Xiaoming Liu, & Guoliang Xing. (2021). UltraDepth. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 302–315. 10 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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