Longbin Lai

409 total citations
12 papers, 270 citations indexed

About

Longbin Lai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Longbin Lai has authored 12 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Longbin Lai's work include Graph Theory and Algorithms (11 papers), Advanced Graph Neural Networks (10 papers) and Data Management and Algorithms (5 papers). Longbin Lai is often cited by papers focused on Graph Theory and Algorithms (11 papers), Advanced Graph Neural Networks (10 papers) and Data Management and Algorithms (5 papers). Longbin Lai collaborates with scholars based in Australia, China and United States. Longbin Lai's co-authors include Xuemin Lin, Lu Qin, Lijun Chang, Ying Zhang, Shiyu Yang, Zhengyi Yang, Wenjie Zhang, Xin Jin, Xiaohong Chen and Jingren Zhou and has published in prestigious journals such as Proceedings of the VLDB Endowment and The VLDB Journal.

In The Last Decade

Longbin Lai

11 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Longbin Lai Australia	7	233	192	99	92	39	12	270
Can Lu Hong Kong	8	156 0.7×	139 0.7×	94 0.9×	114 1.2×	52 1.3×	13	282
You Peng Australia	9	185 0.8×	127 0.7×	168 1.7×	178 1.9×	60 1.5×	22	342
Christopher R. Aberger United States	6	137 0.6×	114 0.6×	87 0.9×	126 1.4×	10 0.3×	6	233
Minh-Duc Pham South Korea	4	171 0.7×	144 0.8×	88 0.9×	109 1.2×	14 0.4×	5	254
Dong Wen Australia	9	109 0.5×	106 0.6×	89 0.9×	85 0.9×	74 1.9×	37	233
Ehab Abdelhamid Saudi Arabia	4	186 0.8×	129 0.7×	94 0.9×	53 0.6×	37 0.9×	6	289
Fuad Jamour Saudi Arabia	9	148 0.6×	201 1.0×	32 0.3×	32 0.3×	41 1.1×	15	298
Khaled Ammar Canada	6	194 0.8×	113 0.6×	55 0.6×	97 1.1×	22 0.6×	15	236
Kaiwei Li China	8	142 0.6×	108 0.6×	52 0.5×	87 0.9×	23 0.6×	16	276
Oskar van Rest United States	5	166 0.7×	108 0.6×	89 0.9×	140 1.5×	8 0.2×	5	229

Countries citing papers authored by Longbin Lai

Since Specialization

Citations

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

Fields of papers citing papers by Longbin Lai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longbin Lai

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

12 of 12 papers shown

1.

Chen, Xiaohong, Longbin Lai, Lu Qin, & Xuemin Lin. (2021). Efficient structural node similarity computation on billion-scale graphs. The VLDB Journal. 30(3). 471–493. 3 indexed citations

2.

Chen, Xiaohong, et al.. (2021). A Framework to Quantify Approximate Simulation on Graph Data. 1308–1319. 5 indexed citations

3.

Yang, Zhengyi, et al.. (2021). HUGE: An Efficient and Scalable Subgraph Enumeration System. 2049–2062. 30 indexed citations

4.

Lai, Longbin, et al.. (2020). Towards the Scheduling of Vertex-constrained Multi Subgraph Matching Query. 2857–2859.

5.

Chen, Xiaohong, Longbin Lai, Lu Qin, & Xuemin Lin. (2020). StructSim: Querying Structural Node Similarity at Billion Scale. 1950–1953. 8 indexed citations

6.

Yang, Zhengyi, et al.. (2019). PatMat: A Distributed Pattern Matching Engine with Cypher. 2921–2924. 4 indexed citations

7.

Lai, Longbin, Zhengyi Yang, Xin Jin, et al.. (2019). Distributed subgraph matching on timely dataflow. Proceedings of the VLDB Endowment. 12(10). 1099–1112. 45 indexed citations

8.

Jin, Xin & Longbin Lai. (2019). MPMatch: A Multi-core Parallel Subgraph Matching Algorithm. 6 indexed citations

9.

Yang, Zhengyi, et al.. (2019). Improving Distribued Subgraph Matching Algorithm on Timely Dataflow. 266–273. 2 indexed citations

10.

Lai, Longbin, Lu Qin, Xuemin Lin, & Lijun Chang. (2017). Scalable subgraph enumeration in MapReduce: a cost-oriented approach. The VLDB Journal. 26(3). 421–446. 17 indexed citations

11.

Lai, Longbin, Lu Qin, Xuemin Lin, et al.. (2016). Scalable distributed subgraph enumeration. Proceedings of the VLDB Endowment. 10(3). 217–228. 76 indexed citations

12.

Lai, Longbin, Lu Qin, Xuemin Lin, & Lijun Chang. (2015). Scalable subgraph enumeration in MapReduce. Proceedings of the VLDB Endowment. 8(10). 974–985. 74 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