Lu Qin

8.9k total citations · 2 hit papers
220 papers, 5.5k citations indexed

About

Lu Qin is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Lu Qin has authored 220 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Signal Processing, 99 papers in Computer Networks and Communications and 86 papers in Artificial Intelligence. Recurrent topics in Lu Qin's work include Data Management and Algorithms (101 papers), Complex Network Analysis Techniques (79 papers) and Graph Theory and Algorithms (62 papers). Lu Qin is often cited by papers focused on Data Management and Algorithms (101 papers), Complex Network Analysis Techniques (79 papers) and Graph Theory and Algorithms (62 papers). Lu Qin collaborates with scholars based in Australia, China and Hong Kong. Lu Qin's co-authors include Jeffrey Xu Yu, Xuemin Lin, Lijun Chang, Wenjie Zhang, Ying Zhang, Rong-Hua Li, Hong Cheng, Xin Huang, Bolin Ding and Rui Mao and has published in prestigious journals such as Nature Communications, Journal of Environmental Management and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Lu Qin

207 papers receiving 5.4k citations

Hit Papers

Querying k-truss community in large and dynamic graphs 2014 2026 2018 2022 2014 2019 100 200 300
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. Querying k-truss community in large and dynamic graphs
    2014 327 citations Hong Cheng, Lu Qin et al. profile →
  2. A survey of community search over big graphs
    2019 207 citations Lu Qin, Ying Zhang et al. The VLDB Journal profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lu Qin Australia 42 2.4k 2.4k 2.2k 2.1k 1.8k 220 5.5k
James Cheng Hong Kong 38 1.5k 0.6× 2.2k 0.9× 1.2k 0.5× 1.2k 0.6× 2.1k 1.2× 137 4.7k
Jianyong Wang China 39 1.3k 0.5× 3.7k 1.5× 1.8k 0.8× 610 0.3× 702 0.4× 142 6.2k
Anthony K. H. Tung Singapore 37 1.6k 0.7× 1.7k 0.7× 2.3k 1.0× 226 0.1× 1.1k 0.6× 149 4.5k
Nick Koudas Canada 46 4.2k 1.7× 4.2k 1.7× 4.2k 2.0× 716 0.3× 1.1k 0.6× 187 7.8k
Aoying Zhou China 32 1.6k 0.7× 2.5k 1.0× 1.2k 0.5× 300 0.1× 490 0.3× 326 4.4k
Panos Kalnis Saudi Arabia 41 1.4k 0.6× 3.2k 1.3× 1.4k 0.6× 132 0.1× 1.1k 0.6× 119 5.7k
Edith Cohen United States 36 4.0k 1.6× 1.4k 0.6× 1.2k 0.6× 355 0.2× 490 0.3× 149 5.4k
Yufei Tao Hong Kong 50 3.6k 1.5× 3.1k 1.3× 5.6k 2.6× 178 0.1× 1.4k 0.8× 195 8.6k
Yuanyuan Tian United States 20 1.0k 0.4× 954 0.4× 573 0.3× 404 0.2× 1.0k 0.6× 57 2.4k
Leman Akoglu United States 28 1.2k 0.5× 2.5k 1.0× 426 0.2× 1.1k 0.5× 354 0.2× 90 3.7k

Countries citing papers authored by Lu Qin

Since Specialization
Citations

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

Fields of papers citing papers by Lu Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Qin. A scholar is included among the top collaborators of Lu Qin 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 Lu Qin. Lu Qin 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.
Yang, Mingyu, Wentao Li, Wang Wei, et al.. (2025). Structural Clustering for Bipartite Graphs. IEEE Transactions on Knowledge and Data Engineering. 38(1). 645–658.
2.
Qin, Lu, et al.. (2025). Density Decomposition of Bipartite Graphs. Proceedings of the ACM on Management of Data. 3(1). 1–25.
3.
Zhang, Ying, et al.. (2024). Kolmogorov–Arnold Finance-Informed Neural Network in Option Pricing. Applied Sciences. 14(24). 11618–11618. 3 indexed citations
4.
Xia, Tianyi, Lei Cao, Yunjia Zhang, et al.. (2024). ST-GEARS: Advancing 3D downstream research through accurate spatial information recovery. Nature Communications. 15(1). 7806–7806. 1 indexed citations
5.
Li, Wentao, et al.. (2024). Querying Numeric-Constrained Shortest Distances on Road Networks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2463–2475. 1 indexed citations
6.
Wang, Xiaoyang, et al.. (2024). Efficient Maximal Frequent Group Enumeration in Temporal Bipartite Graphs. Proceedings of the VLDB Endowment. 17(11). 3243–3255. 6 indexed citations
7.
Zhang, Yikai, Jeffrey Xu Yu, Ying Zhang, & Lu Qin. (2023). Maintaining Top-$t$ Cores in Dynamic Graphs. IEEE Transactions on Knowledge and Data Engineering. 36(9). 4766–4780.
8.
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
9.
Zhu, Yuanyuan, et al.. (2020). Cohesive Subgraph Search Using Keywords in Large Networks. IEEE Transactions on Knowledge and Data Engineering. 34(1). 178–191. 8 indexed citations
10.
Zhu, Yuanyuan, Lu Qin, Jeffrey Xu Yu, & Hong Cheng. (2019). Answering Top-$k$ Graph Similarity Queries in Graph Databases. IEEE Transactions on Knowledge and Data Engineering. 32(8). 1459–1474. 7 indexed citations
11.
Peng, You, Ying Zhang, Xuemin Lin, et al.. (2019). Hop-constrained s-t Simple Path Enumeration: Towards Bridging Theory and Practice.. Very Large Data Bases. 13. 463–476. 3 indexed citations
12.
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
13.
Wen, Dong, Lu Qin, Ying Zhang, Xuemin Lin, & Jeffrey Xu Yu. (2018). I/O Efficient Core Graph Decomposition: Application to Degeneracy Ordering. IEEE Transactions on Knowledge and Data Engineering. 31(1). 75–90. 24 indexed citations
14.
Li, Rong-Hua, et al.. (2018). Persistent Community Search in Temporal Networks. 797–808. 69 indexed citations
15.
Qin, Lu. (2015). The effects of dietary Enteromorpha prolifera on the growth and non-specific immunity of juvenile turbot(Scophthalmus maximus). 1 indexed citations
16.
Yu, Jeffrey Xu, Lu Qin, & Lijun Chang. (2010). Keyword Search in Relational Databases: A Survey.. IEEE Data(base) Engineering Bulletin. 33. 67–78. 101 indexed citations
17.
Yu, Jeffrey Xu, Lu Qin, & Lijun Chang. (2009). Keyword Search in Databases. 1(1). 1–155. 56 indexed citations
18.
Ding, Bolin, Jeffrey Xu Yu, & Lu Qin. (2008). Finding time-dependent shortest paths over large graphs. 8 indexed citations
19.
Wang, Shan, Zhaohui Peng, Jun Zhang, et al.. (2006). NUITS: a novel user interface for efficient keyword search over databases. Very Large Data Bases. 1143–1146. 18 indexed citations
20.
Qin, Lu, Erfang Shan, & Min Zhao. (2006). (k,l)-kernels in line digraphs. Journal of Shanghai University (English Edition). 10(6). 484–486. 2 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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