Julien Plu

9.5k total citations · 1 hit paper
10 papers, 507 citations indexed

About

Julien Plu is a scholar working on Artificial Intelligence, Management Science and Operations Research and Transportation. According to data from OpenAlex, Julien Plu has authored 10 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 2 papers in Transportation. Recurrent topics in Julien Plu's work include Semantic Web and Ontologies (6 papers), Topic Modeling (5 papers) and Natural Language Processing Techniques (4 papers). Julien Plu is often cited by papers focused on Semantic Web and Ontologies (6 papers), Topic Modeling (5 papers) and Natural Language Processing Techniques (4 papers). Julien Plu collaborates with scholars based in France, Germany and Spain. Julien Plu's co-authors include Canwen Xu, Thomas Wolf, Quentin Lhoest, Yacine Jernite, Anthony Moi, Alexander M. Rush, Julien Chaumond, Lysandre Debut, Teven Le Scao and Sylvain Gugger and has published in prestigious journals such as Engineering Fracture Mechanics, Language Resources and Evaluation and Journal of Web Semantics.

In The Last Decade

Julien Plu

10 papers receiving 448 citations

Hit Papers

align trajectories

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.

Transformers: State-of-the-Art Natural Language Processing

2020 436 citations Thomas Wolf, Lysandre Debut et al. Zenodo (CERN European Organization for Nuclear Research) profile →

Peers

Julien Plu

AI

CVPR

IS

MSOR

SPS

Jörg Waitelonis Germany

Mohammed Attia United States

Joseph Reisinger United States

Shuohuan Wang China

Ahmed El Kholy United States

Mohammed Saeed France

Shengqiong Wu China

Feiyu Xu Germany

Nazneen Fatema Rajani United States

Jörg Waitelonis Germany

Julien Plu

173 ×0.4

AI

70 ×0.8

CVPR

66 ×1.2

IS

64 ×1.7

MSOR

17 ×0.5

SPS

Citations per year, relative to Julien Plu Julien Plu (= 1×) peers Jörg Waitelonis

Countries citing papers authored by Julien Plu

Since Specialization

Citations

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

Fields of papers citing papers by Julien Plu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julien Plu

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

10 of 10 papers shown

1.

Plu, Julien, et al.. (2023). D2KLab at SemEval-2023 Task 2: Leveraging T-NER to Develop a Fine-Tuned Multilingual Model for Complex Named Entity Recognition. 836–840. 1 indexed citations

2.

Wolf, Thomas, Lysandre Debut, Victor Sanh, et al.. (2020). Transformers: State-of-the-Art Natural Language Processing. Zenodo (CERN European Organization for Nuclear Research). 436 indexed citations breakdown →

3.

Troncy, Raphaël, Giuseppe Rizzo, Anthony Jameson, et al.. (2017). 3cixty: Building comprehensive knowledge bases for city exploration. Journal of Web Semantics. 46-47. 2–13. 12 indexed citations

4.

Troncy, Raphaël, Giuseppe Rizzo, Anthony Jameson, et al.. (2017). 3cixty: Building Comprehensive Knowledge Bases for City Exploration. SSRN Electronic Journal. 2 indexed citations

5.

Ilievski, Filip, Giuseppe Rizzo, Marieke van Erp, Julien Plu, & Raphaël Troncy. (2016). Context-enhanced adaptive entity linking. Language Resources and Evaluation. 541–548. 2 indexed citations

6.

Erp, Marieke van, Pablo N. Mendes, Heiko Paulheim, et al.. (2016). Evaluating entity linking: an analysis of current benchmark datasets and a roadmap for doing a better job. Language Resources and Evaluation. 4373–4379. 27 indexed citations

7.

Plu, Julien. (2016). Knowledge Extraction in Web Media. 317–322. 1 indexed citations

8.

Plu, Julien. (2015). Revealing entities from textual documents using a hybrid approach. Graduate School and Research Center in Digital Science (EURECOM). 4 indexed citations

9.

Rizzo, Giuseppe, et al.. (2015). The 3cixty Knowledge Base for Expo Milano 2015. 1–4. 7 indexed citations

10.

Plu, Julien, et al.. (2009). Application of fracture mechanics methods to rail design and maintenance. Engineering Fracture Mechanics. 76(17). 2602–2611. 15 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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