Xuemin Lin

20.6k total citations · 2 hit papers
501 papers, 12.7k citations indexed

About

Xuemin Lin is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Xuemin Lin has authored 501 papers receiving a total of 12.7k indexed citations (citations by other indexed papers that have themselves been cited), including 240 papers in Signal Processing, 194 papers in Artificial Intelligence and 184 papers in Computer Networks and Communications. Recurrent topics in Xuemin Lin's work include Data Management and Algorithms (235 papers), Graph Theory and Algorithms (106 papers) and Complex Network Analysis Techniques (106 papers). Xuemin Lin is often cited by papers focused on Data Management and Algorithms (235 papers), Graph Theory and Algorithms (106 papers) and Complex Network Analysis Techniques (106 papers). Xuemin Lin collaborates with scholars based in Australia, China and Hong Kong. Xuemin Lin's co-authors include Wenjie Zhang, Ying Zhang, Lu Qin, Jeffrey Xu Yu, Wei Wang, Jian Pei, Chuan Xiao, Lijun Chang, Yidong Yuan and Lin Wu and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and ACM Computing Surveys.

In The Last Decade

Xuemin Lin

458 papers receiving 12.3k citations

Hit Papers

align trajectories

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.

Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization

2018 307 citations Xuemin Lin et al. profile →
A survey of community search over big graphs

2019 207 citations Lu Qin, Ying Zhang et al. The VLDB Journal profile →

Peers

Xuemin Lin

SP

AI

CNC

CVPR

IS

Jeffrey Xu Yu Hong Kong

Gao Cong Singapore

Dimitrios Gunopulos United States

Wei‐Ying Ma China

Xiaokui Xiao Singapore

Yannis Manolopoulos Greece

Nick Koudas Canada

Jennifer Widom United States

Haixun Wang United States

Nikos Mamoulis Hong Kong

Jeffrey Xu Yu Hong Kong

Xuemin Lin

4.7k ×0.8

SP

5.7k ×1.1

AI

4.8k ×1.0

CNC

3.0k ×0.7

CVPR

2.9k ×1.1

IS

Citations per year, relative to Xuemin Lin Xuemin Lin (= 1×) peers Jeffrey Xu Yu

Countries citing papers authored by Xuemin Lin

Since Specialization

Citations

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

Fields of papers citing papers by Xuemin Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuemin Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Xuemin Lin. A scholar is included among the top collaborators of Xuemin Lin 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 Xuemin Lin. Xuemin Lin 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:

20 of 20 papers shown

1.

Wu, Yongwei, Xuemin Lin, & Guangyu Zhu. (2025). Solving many-objective reentrant hybrid flowshop scheduling problem considering uncertainty factors in thin-film transistor liquid crystal display. Computers & Industrial Engineering. 204. 111117–111117.

2.

Wang, Xiaoyang, et al.. (2025). Deep Overlapping Community Search via Subspace Embedding. Proceedings of the ACM on Management of Data. 3(1). 1–26.

3.

Liu, Yu, et al.. (2024). Sampling hypergraphs via joint unbiased random walk. World Wide Web. 27(2). 4 indexed citations

4.

Wang, Hanchen, et al.. (2024). Deep Learning Approaches for Similarity Computation: A Survey. IEEE Transactions on Knowledge and Data Engineering. 36(12). 7893–7912. 4 indexed citations

5.

Zhang, Fan, et al.. (2024). Multi-Source Shortest Path Query With Assembly Points on Large Graphs. IEEE Transactions on Knowledge and Data Engineering. 36(12). 8859–8875.

6.

Li, Yuanyuan, et al.. (2024). Mining Quasi-Periodic Communities in Temporal Network. 2476–2488. 1 indexed citations

7.

Yang, Jianye, et al.. (2024). TC-Match: Fast Time-Constrained Continuous Subgraph Matching. Proceedings of the VLDB Endowment. 17(11). 2791–2804. 3 indexed citations

8.

Wang, Yiran, Xuemin Lin, Jeffrey Xu Yu, et al.. (2024). Efficient Betweenness Centrality Computation over Large Heterogeneous Information Networks. Proceedings of the VLDB Endowment. 17(11). 3360–3372. 1 indexed citations

9.

Wang, Jinghao, Yanping Wu, Xiaoyang Wang, et al.. (2024). Efficient Influence Minimization via Node Blocking. Proceedings of the VLDB Endowment. 17(10). 2501–2513. 7 indexed citations

10.

Xu, Yuanyuan, Wenjie Zhang, Ying Zhang, Maria E. Orłowska, & Xuemin Lin. (2024). TimeSGN: Scalable and Effective Temporal Graph Neural Network. 3297–3310. 3 indexed citations

11.

Chen, Chen, et al.. (2024). Finding the Maximum k- Balanced Biclique on Weighted Bipartite Graphs (Extended abstract). Research Online (University of Wollongong). 5697–5698. 1 indexed citations

12.

Zhang, Fan, et al.. (2024). Graph Summarization: Compactness Meets Efficiency. Proceedings of the ACM on Management of Data. 2(3). 1–26. 1 indexed citations

13.

Yang, Jianye, et al.. (2024). Efficient Maximal Biclique Enumeration on Large Signed Bipartite Graphs. IEEE Transactions on Knowledge and Data Engineering. 36(9). 4618–4631.

14.

Chen, Chen, et al.. (2023). Efficient Maximum Signed Biclique Identification. Research Online (University of Wollongong). 1313–1325. 5 indexed citations

15.

Xu, Yuanyuan, et al.. (2023). Class-aware tiny object recognition over large-scale 3D point clouds. Neurocomputing. 529. 166–181. 9 indexed citations

16.

Li, Wentao, Miao Qiao, Lu Qin, et al.. (2021). Distance labeling: on parallelism, compression, and ordering. The VLDB Journal. 31(1). 129–155. 3 indexed citations

17.

Qin, Lu, et al.. (2018). Supergraph Search in Graph Databases via Hierarchical Feature-Tree. IEEE Transactions on Knowledge and Data Engineering. 31(2). 385–400. 4 indexed citations

18.

Wang, Xiaoyang, Ying Zhang, Wenjie Zhang, & Xuemin Lin. (2016). Distance-aware influence maximization in geo-social network. UTS ePRESS (University of Technology Sydney). 1 indexed citations

19.

Zhang, Wenjie, et al.. (2012). Skyline: stacking optimal solutions in exact and uncertain worlds. 6(4). 475–493. 1 indexed citations

20.

Lin, Xuemin. (2007). Continuously maintaining order statistics over data streams: extended abstract. Australasian Database Conference. 7–10. 1 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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