Luh Yen

1.1k total citations
12 papers, 470 citations indexed

About

Luh Yen is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Geometry and Topology. According to data from OpenAlex, Luh Yen has authored 12 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistical and Nonlinear Physics, 9 papers in Artificial Intelligence and 3 papers in Geometry and Topology. Recurrent topics in Luh Yen's work include Complex Network Analysis Techniques (9 papers), Graph theory and applications (3 papers) and Advanced Graph Neural Networks (3 papers). Luh Yen is often cited by papers focused on Complex Network Analysis Techniques (9 papers), Graph theory and applications (3 papers) and Advanced Graph Neural Networks (3 papers). Luh Yen collaborates with scholars based in Belgium and Japan. Luh Yen's co-authors include Marco Saerens, François Fouss, Alain Pirotte, Masashi Shimbo, Amin Mantrach, Christine Decaestecker, Michel Verleysen and Jean-Michel Renders and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Computation and Neurocomputing.

In The Last Decade

Luh Yen

12 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luh Yen Belgium	10	220	203	85	80	74	12	470
Lucas Antiqueira Brazil	10	430 2.0×	251 1.2×	110 1.3×	61 0.8×	43 0.6×	15	783
Masashi Shimbo Japan	17	200 0.9×	620 3.1×	92 1.1×	203 2.5×	64 0.9×	52	896
J. Ignacio Alvarez-Hamelin Argentina	9	367 1.7×	136 0.7×	69 0.8×	83 1.0×	82 1.1×	36	607
Henning Meyerhenke Germany	15	269 1.2×	185 0.9×	39 0.5×	160 2.0×	62 0.8×	54	619
Blair D. Sullivan United States	10	71 0.3×	137 0.7×	42 0.5×	31 0.4×	91 1.2×	29	280
Hao Yin United States	6	350 1.6×	233 1.1×	77 0.9×	74 0.9×	42 0.6×	12	516
Laura C. Carpi Brazil	13	322 1.5×	94 0.5×	115 1.4×	36 0.5×	35 0.5×	18	605
Zoran Levnajić Slovenia	13	282 1.3×	75 0.4×	119 1.4×	31 0.4×	38 0.5×	31	636
Andreas Lommatzsch Germany	7	288 1.3×	317 1.6×	41 0.5×	57 0.7×	29 0.4×	26	530
Qin Wu China	10	107 0.5×	63 0.3×	76 0.9×	120 1.5×	17 0.2×	34	416

Countries citing papers authored by Luh Yen

Since Specialization

Citations

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

Fields of papers citing papers by Luh Yen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luh Yen

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

All Works

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12 of 12 papers shown

Fouss, François, et al.. (2012). An experimental investigation of kernels on graphs for collaborative recommendation and semisupervised classification. Neural Networks. 31. 53–72. 83 indexed citations

Yen, Luh, Marco Saerens, & François Fouss. (2010). A Link Analysis Extension of Correspondence Analysis for Mining Relational Databases. IEEE Transactions on Knowledge and Data Engineering. 23(4). 481–495. 16 indexed citations

Mantrach, Amin, et al.. (2009). The Sum-over-Paths Covariance Kernel: A Novel Covariance Measure between Nodes of a Directed Graph. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(6). 1112–1126. 35 indexed citations

Saerens, Marco, et al.. (2009). Randomized Shortest-Path Problems: Two Related Models. Neural Computation. 21(8). 2363–2404. 71 indexed citations

Fouss, François, et al.. (2008). Tuning continual exploration in reinforcement learning: An optimality property of the Boltzmann strategy. Neurocomputing. 71(13-15). 2507–2520. 19 indexed citations

Yen, Luh, Marco Saerens, Amin Mantrach, & Masashi Shimbo. (2008). A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances. 785–793. 55 indexed citations

Yen, Luh, et al.. (2008). Graph nodes clustering with the sigmoid commute-time kernel: A comparative study. Data & Knowledge Engineering. 68(3). 338–361. 48 indexed citations

Fouss, François, et al.. (2007). Tuning Continual Exploration in Reinforcement Learning. 4 indexed citations

Saerens, Marco, et al.. (2006). Optimal Tuning of Continual Online Exploration in Reinforcement Learning. Lecture notes in computer science. 4131. 790–800. 7 indexed citations

10.

Fouss, François, Alain Pirotte, Marco Saerens, Jean-Michel Renders, & Luh Yen. (2006). A novel way of computing similarities between nodes of a graph, with application to collaborative filtering and subspace projection of the graph nodes. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 17 indexed citations

11.

Fouss, François, Luh Yen, Alain Pirotte, & Marco Saerens. (2006). An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task. 18. 863–868. 63 indexed citations

12.

Yen, Luh, et al.. (2005). Clustering using a random walk based distance measure. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 317–324. 52 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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