Xiao Yan

1.0k total citations
67 papers, 529 citations indexed

About

Xiao Yan is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Xiao Yan has authored 67 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Information Systems, 19 papers in Computer Vision and Pattern Recognition and 17 papers in Computer Networks and Communications. Recurrent topics in Xiao Yan's work include Cloud Computing and Resource Management (8 papers), Advanced Graph Neural Networks (8 papers) and Caching and Content Delivery (7 papers). Xiao Yan is often cited by papers focused on Cloud Computing and Resource Management (8 papers), Advanced Graph Neural Networks (8 papers) and Caching and Content Delivery (7 papers). Xiao Yan collaborates with scholars based in China, Hong Kong and United States. Xiao Yan's co-authors include James Cheng, Hongzhi Chen, Zhenkun Cai, Yuzhen Huang, Miao Liu, Da Yan, Fan Yu, Jinfeng Li, Bo Tang and Jie Liu and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Journal of Hydrology.

In The Last Decade

Xiao Yan

58 papers receiving 519 citations

Peers

Xiao Yan
Xiao Yan
Citations per year, relative to Xiao Yan Xiao Yan (= 1×) peers Jinyu Zhan

Countries citing papers authored by Xiao Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Yan. A scholar is included among the top collaborators of Xiao Yan 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 Xiao Yan. Xiao Yan 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.
Liu, Renjie, et al.. (2025). DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training. Proceedings of the ACM on Management of Data. 3(1). 1–27. 1 indexed citations
2.
Wang, Jing, Qi Cao, Minjie Gao, et al.. (2025). Elevated urinary phytoestrogens are associated with delayed biological aging: a cross-sectional analysis of NHANES data. Scientific Reports. 15(1). 8587–8587.
3.
Men, Rui, et al.. (2024). Mobility-aware parallel offloading and resource allocation scheme for vehicular edge computing. Ad Hoc Networks. 164. 103639–103639. 3 indexed citations
5.
Bian, Zheng, Xiao Yan, Jiahao Zhang, Man Lung Yiu, & Bo Tang. (2024). QSRP: Efficient Reverse $k-\text{Ranks}$ Query Processing on High-Dimensional Embeddings. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 4614–4627. 1 indexed citations
6.
Cai, Zhenkun, Xiao Yan, Yang Zhang, et al.. (2024). PPS: Fair and efficient black-box scheduling for multi-tenant GPU clusters. Parallel Computing. 120. 103082–103082. 1 indexed citations
7.
Yan, Xiao, Hao Huang, Quanqing Xu, et al.. (2024). Self-Supervised Learning for Graph Dataset Condensation. 3289–3298. 4 indexed citations
8.
Shen, Qiaomu, et al.. (2024). CheetahTraj: Efficient Visualization for Large Trajectory Dataset With Quality Guarantee. IEEE Transactions on Knowledge and Data Engineering. 36(11). 5737–5752.
9.
Cheng, Reynold, et al.. (2024). Debiasing Recommendation with Personal Popularity. UWA Profiles and Research Repository (UWA). 3400–3409. 1 indexed citations
10.
Yan, Xiao, et al.. (2024). GE 2 : A General and Efficient Knowledge Graph Embedding Learning System. Proceedings of the ACM on Management of Data. 2(3). 1–27. 1 indexed citations
11.
Ye, Dong, et al.. (2023). Finite-time synchronization control scheme for underactuated satellite formation reconfiguration. Advances in Space Research. 72(4). 1010–1026. 6 indexed citations
12.
Zhang, Shiqi, Renchi Yang, Xiaokui Xiao, Xiao Yan, & Bo Tang. (2023). Effective and Efficient PageRank-based Positioning for Graph Visualization. Proceedings of the ACM on Management of Data. 1(1). 1–27. 4 indexed citations
13.
Yan, Xiao, et al.. (2023). Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation. Proceedings of the ACM on Management of Data. 1(1). 1–25. 9 indexed citations
14.
Yan, Xiao, et al.. (2023). FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication. Proceedings of the ACM on Management of Data. 1(2). 1–21. 4 indexed citations
15.
Yan, Xiao, et al.. (2023). DGI: An Easy and Efficient Framework for GNN Model Evaluation. 5439–5450. 6 indexed citations
16.
Liu, Renjie, et al.. (2023). gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning. 562–578. 8 indexed citations
17.
Cai, Zhenkun, Xiao Yan, Yuzhen Huang, et al.. (2021). TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism. IEEE Transactions on Parallel and Distributed Systems. 33(8). 1967–1981. 24 indexed citations
18.
Yan, Xiao, Liu Zhi, Zhenkun Cai, et al.. (2021). Elastic Deep Learning in Multi-Tenant GPU Clusters. IEEE Transactions on Parallel and Distributed Systems. 33(1). 144–158. 32 indexed citations
19.
Huang, Yuzhen, et al.. (2019). Tangram: Bridging Immutable and Mutable Abstractions for Distributed Data Analytics. USENIX Annual Technical Conference. 191–206. 4 indexed citations
20.
Yan, Xiao. (2014). Enhancing the Building of Experimental Teaching Demonstration Center to Bring up the Students' Innovation Ability. Research and Exploration in Laboratory.

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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