Julien Velcin

1.1k total citations · 1 hit paper
24 papers, 482 citations indexed

About

Julien Velcin is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Communication. According to data from OpenAlex, Julien Velcin has authored 24 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 12 papers in Statistical and Nonlinear Physics and 4 papers in Communication. Recurrent topics in Julien Velcin's work include Complex Network Analysis Techniques (12 papers), Advanced Text Analysis Techniques (10 papers) and Sentiment Analysis and Opinion Mining (7 papers). Julien Velcin is often cited by papers focused on Complex Network Analysis Techniques (12 papers), Advanced Text Analysis Techniques (10 papers) and Sentiment Analysis and Opinion Mining (7 papers). Julien Velcin collaborates with scholars based in France, United States and Japan. Julien Velcin's co-authors include Thien Hai Nguyen, Kiyoaki Shirai, Djamel A. Zighed, Ian Davidson, Pascal Poncelet, Marian-Andrei Rizoiu, Stéphane Lallich, Julien Jacques, Stéphane Bonnevay and Sabine Loudcher and has published in prestigious journals such as Expert Systems with Applications, Journal of Intelligent Information Systems and Social Network Analysis and Mining.

In The Last Decade

Julien Velcin

21 papers receiving 462 citations

Hit Papers

Sentiment analysis on social media for stock movement pre... 2015 2026 2018 2022 2015 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. Sentiment analysis on social media for stock movement prediction
    2015 393 citations Julien Velcin 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
Julien Velcin France 6 233 214 110 92 71 24 482
Hauke Fuehres Germany 5 191 0.8× 144 0.7× 147 1.3× 105 1.1× 103 1.5× 5 477
Thien Hai Nguyen Japan 6 331 1.4× 520 2.4× 140 1.3× 129 1.4× 72 1.0× 9 835
Kiyoaki Shirai Japan 9 318 1.4× 587 2.7× 142 1.3× 129 1.4× 76 1.1× 46 916
Ilaria Bordino Italy 9 116 0.5× 206 1.0× 110 1.0× 58 0.6× 35 0.5× 26 483
Nuno Oliveira Portugal 8 291 1.2× 251 1.2× 172 1.6× 172 1.9× 71 1.0× 18 609
Chun-Neng Huang United States 7 161 0.7× 162 0.8× 72 0.7× 87 0.9× 50 0.7× 8 346
Steve Y. Yang United States 16 428 1.8× 145 0.7× 390 3.5× 443 4.8× 41 0.6× 59 811
Hiroki Sakaji Japan 10 172 0.7× 143 0.7× 101 0.9× 76 0.8× 18 0.3× 94 353
Alexandra Pomares Quimbaya Colombia 6 210 0.9× 196 0.9× 87 0.8× 67 0.7× 16 0.2× 36 439
Anqi Liu United States 9 135 0.6× 56 0.3× 173 1.6× 181 2.0× 31 0.4× 21 330

Countries citing papers authored by Julien Velcin

Since Specialization
Citations

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

Fields of papers citing papers by Julien Velcin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julien Velcin

This figure shows the co-authorship network connecting the top 25 collaborators of Julien Velcin. A scholar is included among the top collaborators of Julien Velcin 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 Julien Velcin. Julien Velcin 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.
Brun, Luc, et al.. (2024). When Quantization Affects Confidence of Large Language Models?. 1918–1928.
2.
3.
Velcin, Julien, et al.. (2023). Dynamic Mixed Membership Stochastic Block Model for Weighted Labeled Networks. arXiv (Cornell University). 1569–1577. 1 indexed citations
4.
Velcin, Julien, et al.. (2022). Dynamic Gaussian Embedding of Authors. Proceedings of the ACM Web Conference 2022. 2109–2119.
5.
Clément, Christophe, et al.. (2021). Monitoring geometrical properties of word embeddings for detecting the emergence of new topics.. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 994–1003. 1 indexed citations
6.
Davidson, Ian, et al.. (2019). Behavioral differences: insights, explanations and comparisons of French and US Twitter usage during elections. Social Network Analysis and Mining. 10(1). 8 indexed citations
7.
Velcin, Julien, et al.. (2017). L’analyse quantitative des médias sociaux, une alternative aux enquêtes déclaratives ?. Questions de communication. 31. 111–135. 3 indexed citations
8.
Velcin, Julien, et al.. (2017). Evolutionary clustering for categorical data using parametric links among multinomial mixture models. Econometrics and Statistics. 3. 141–159. 3 indexed citations
9.
Velcin, Julien, et al.. (2016). Non-parametric clustering over user features and latent behavioral functions with dual-view mixture models. Computational Statistics. 32(1). 145–177. 1 indexed citations
10.
Velcin, Julien, Mathieu Roche, & Pascal Poncelet. (2016). Shallow Text Clustering Does Not Mean Weak Topics: How Topic Identification Can Leverage Bigram Features. HAL (Le Centre pour la Communication Scientifique Directe). 1646. 25–32. 2 indexed citations
11.
Rizoiu, Marian-Andrei, Julien Velcin, & Stéphane Lallich. (2015). Semantic-enriched visual vocabulary construction in a weakly supervised context. Intelligent Data Analysis. 19(1). 161–185. 1 indexed citations
12.
Velcin, Julien, et al.. (2013). Une nouvelle mesure pour l'évaluation des méthodes d'extraction de thématiques : la Vraisemblance Généralisée. HAL (Le Centre pour la Communication Scientifique Directe). 317–328. 2 indexed citations
13.
Velcin, Julien, et al.. (2013). AMI&ERIC: How to Learn with Naive Bayes and Prior Knowledge: an Application to Sentiment Analysis. 364–368. 1 indexed citations
14.
Rizoiu, Marian-Andrei, Julien Velcin, & Stéphane Lallich. (2013). Unsupervised feature construction for improving data representation and semantics. Journal of Intelligent Information Systems. 40(3). 501–527. 3 indexed citations
15.
Velcin, Julien, et al.. (2012). Extracting Celebrities from Online Discussions. 20. 322–326. 2 indexed citations
16.
Velcin, Julien, et al.. (2012). Roles in social networks: Methodologies and research issues. Web Intelligence and Agent Systems An International Journal. 10(1). 117–133. 30 indexed citations
17.
Velcin, Julien, et al.. (2011). Extracting Social Networks to Understand Interaction. 5. 213–219. 6 indexed citations
18.
Velcin, Julien, et al.. (2009). A Content-Oriented Framework for Online Discussion Analysis. 721–726. 2 indexed citations
19.
Velcin, Julien, et al.. (2009). Definition and Measures of an Opinion Model for Mining Forums. 188–193. 7 indexed citations
20.
Velcin, Julien, et al.. (2009). A combination of opinion mining and social network techniques for discussion analysis.. 25–44. 6 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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