Xiangyang Lan

2.3k total citations · 1 hit paper
5 papers, 1.4k citations indexed

About

Xiangyang Lan is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Communication. According to data from OpenAlex, Xiangyang Lan has authored 5 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Statistical and Nonlinear Physics and 1 paper in Communication. Recurrent topics in Xiangyang Lan's work include Complex Network Analysis Techniques (2 papers), Opinion Dynamics and Social Influence (2 papers) and Human Pose and Action Recognition (2 papers). Xiangyang Lan is often cited by papers focused on Complex Network Analysis Techniques (2 papers), Opinion Dynamics and Social Influence (2 papers) and Human Pose and Action Recognition (2 papers). Xiangyang Lan collaborates with scholars based in United States and Singapore. Xiangyang Lan's co-authors include D.P. Huttenlocher, Jon Kleinberg, Lars Bäckström, Daniel P. Huttenlocher, Siddharth Suri, Dan Cosley, Jon Kleinberg, Jinfeng Zhuang, Steven C. H. Hoi and Jialei Wang and has published in prestigious journals such as Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) and Proceedings of the International AAAI Conference on Web and Social Media.

In The Last Decade

Xiangyang Lan

5 papers receiving 1.3k citations

Hit Papers

Group formation in large social networks 2006 2026 2012 2019 2006 250 500 750 1000
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. Group formation in large social networks
    2006 1.2k citations Lars Bäckström, D.P. Huttenlocher et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangyang Lan United States 5 735 380 371 310 307 5 1.4k
Johan Ugander United States 12 754 1.0× 199 0.5× 343 0.9× 266 0.9× 166 0.5× 39 1.4k
Jaewon Yang United States 15 939 1.3× 169 0.4× 603 1.6× 242 0.8× 338 1.1× 34 1.8k
Massimiliano Marcon Germany 6 1.1k 1.5× 214 0.6× 556 1.5× 781 2.5× 494 1.6× 8 2.0k
Jérôme Kunegis Germany 14 1.2k 1.6× 323 0.8× 865 2.3× 368 1.2× 360 1.2× 40 2.0k
Aneesh Sharma United States 12 401 0.5× 280 0.7× 408 1.1× 299 1.0× 429 1.4× 27 1.1k
Matthew Hurst United States 17 623 0.8× 219 0.6× 867 2.3× 265 0.9× 677 2.2× 46 1.7k
Youze Tang Singapore 5 898 1.2× 105 0.3× 282 0.8× 282 0.9× 243 0.8× 5 1.1k
Tim Weninger United States 20 403 0.5× 266 0.7× 951 2.6× 260 0.8× 645 2.1× 69 1.6k
Krishna P. N. Puttaswamy United States 14 369 0.5× 90 0.2× 415 1.1× 598 1.9× 399 1.3× 25 1.2k
Kyomin Jung South Korea 18 747 1.0× 265 0.7× 925 2.5× 294 0.9× 556 1.8× 114 2.1k

Countries citing papers authored by Xiangyang Lan

Since Specialization
Citations

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

Fields of papers citing papers by Xiangyang Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangyang Lan

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

All Works

5 of 5 papers shown
1.
Zhuang, Jinfeng, Jialei Wang, Steven C. H. Hoi, & Xiangyang Lan. (2011). Unsupervised Multiple Kernel Learning. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 20. 129–144. 33 indexed citations
2.
Cosley, Dan, Daniel P. Huttenlocher, Jon Kleinberg, Xiangyang Lan, & Siddharth Suri. (2010). Sequential Influence Models in Social Networks. Proceedings of the International AAAI Conference on Web and Social Media. 4(1). 26–33. 58 indexed citations
3.
Bäckström, Lars, D.P. Huttenlocher, Jon Kleinberg, & Xiangyang Lan. (2006). Group formation in large social networks. 44–54. 1153 indexed citations breakdown →
4.
Lan, Xiangyang & D.P. Huttenlocher. (2005). Beyond trees: common-factor models for 2D human pose recovery. 470–477 Vol. 1. 96 indexed citations
5.
Lan, Xiangyang & D.P. Huttenlocher. (2004). A unified spatio-temporal articulated model for tracking. 1. 722–729. 58 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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2026