Philippe Fournier‐Viger

12.7k total citations · 2 hit papers
285 papers, 6.4k citations indexed

About

Philippe Fournier‐Viger is a scholar working on Information Systems, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Philippe Fournier‐Viger has authored 285 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 198 papers in Information Systems, 158 papers in Artificial Intelligence and 142 papers in Computational Theory and Mathematics. Recurrent topics in Philippe Fournier‐Viger's work include Data Mining Algorithms and Applications (186 papers), Rough Sets and Fuzzy Logic (140 papers) and Data Management and Algorithms (77 papers). Philippe Fournier‐Viger is often cited by papers focused on Data Mining Algorithms and Applications (186 papers), Rough Sets and Fuzzy Logic (140 papers) and Data Management and Algorithms (77 papers). Philippe Fournier‐Viger collaborates with scholars based in China, Taiwan and Norway. Philippe Fournier‐Viger's co-authors include Jerry Chun‐Wei Lin, Tzung‐Pei Hong, Vincent S. Tseng, Wensheng Gan, Chengwei Wu, Philip S. Yu, Youcef Djenouri, Han‐Chieh Chao, Roger Nkambou and Hamido Fujita and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Industrial Electronics.

In The Last Decade

Philippe Fournier‐Viger

271 papers receiving 6.2k citations

Hit Papers

Binary dragonfly optimiza... 2014 2026 2018 2022 2018 2014 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. Binary dragonfly optimization for feature selection using time-varying transfer functions
    2018 332 citations Philippe Fournier‐Viger et al. Knowledge-Based Systems profile →
  2. SPMF: a Java open-source pattern mining library
    2014 277 citations Philippe Fournier‐Viger 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
Philippe Fournier‐Viger China 43 4.7k 3.5k 3.1k 1.7k 677 285 6.4k
Tzung‐Pei Hong Taiwan 47 5.6k 1.2× 4.8k 1.3× 4.3k 1.4× 1.8k 1.1× 650 1.0× 538 8.5k
Yiwen Yin Canada 6 6.7k 1.4× 3.9k 1.1× 3.9k 1.3× 2.7k 1.6× 1.4k 2.1× 8 8.1k
Jianyong Wang China 39 3.3k 0.7× 3.7k 1.0× 1.3k 0.4× 1.8k 1.0× 1.3k 1.9× 142 6.2k
Meichun Hsu United States 27 2.9k 0.6× 2.2k 0.6× 1.0k 0.3× 1.1k 0.6× 1.3k 1.9× 93 4.6k
Gregory Piatetsky-Shapiro United States 23 2.5k 0.5× 2.4k 0.7× 1.0k 0.3× 1.1k 0.7× 914 1.4× 51 5.0k
Ming-Syan Chen⋆ Taiwan 44 4.5k 1.0× 3.5k 1.0× 2.3k 0.8× 2.5k 1.5× 3.6k 5.3× 400 10.1k
Roberto J. Bayardo United States 23 2.3k 0.5× 2.6k 0.7× 1.4k 0.5× 1.1k 0.7× 1.1k 1.6× 35 4.4k
Yiming Ma China 16 2.1k 0.4× 1.8k 0.5× 1.1k 0.4× 769 0.4× 322 0.5× 53 3.6k
Hong Cheng Hong Kong 39 2.6k 0.5× 3.3k 0.9× 1.0k 0.3× 1.4k 0.8× 1.4k 2.1× 145 6.3k
Petra Perner Germany 19 1.6k 0.3× 2.0k 0.6× 620 0.2× 663 0.4× 416 0.6× 105 4.2k

Countries citing papers authored by Philippe Fournier‐Viger

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Fournier‐Viger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philippe Fournier‐Viger. 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 Philippe Fournier‐Viger. The network helps show where Philippe Fournier‐Viger may publish in the future.

Co-authorship network of co-authors of Philippe Fournier‐Viger

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Fournier‐Viger. A scholar is included among the top collaborators of Philippe Fournier‐Viger 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 Philippe Fournier‐Viger. Philippe Fournier‐Viger 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.
Dong, Xiangjun, et al.. (2025). TK-RNSP: Efficient Top-K Repetitive Negative Sequential Pattern mining. Information Processing & Management. 62(3). 104077–104077. 1 indexed citations
2.
Nawaz, M. Saqib, et al.. (2025). Efficient genome sequence compression via the fusion of MDL-based heuristics. Information Fusion. 120. 103083–103083. 1 indexed citations
3.
Dinh, Duy-Tai, et al.. (2025). Categorical data clustering: 25 years beyond K-modes. Expert Systems with Applications. 272. 126608–126608. 7 indexed citations
4.
Laporte‐Magoni, Christine, Roman Thibeaux, Pierre Genthon, et al.. (2025). Spatio-temporal risk prediction of leptospirosis: A machine-learning-based approach. PLoS neglected tropical diseases. 19(1). e0012755–e0012755. 1 indexed citations
5.
He, Yulin, et al.. (2025). Attribute grouping-based naive Bayesian classifier. Science China Information Sciences. 68(3). 2 indexed citations
6.
Chen, Xiaojun, et al.. (2024). A fine-grained self-adapting prompt learning approach for few-shot learning with pre-trained language models. Knowledge-Based Systems. 299. 111968–111968. 8 indexed citations
7.
He, Yulin, et al.. (2024). A novel and efficient risk minimisation-based missing value imputation algorithm. Knowledge-Based Systems. 304. 112435–112435.
8.
Song, Wei, et al.. (2024). MRI-CE: Minimal rare itemset discovery using the cross-entropy method. Information Sciences. 665. 120392–120392. 1 indexed citations
9.
Nawaz, M. Saqib, et al.. (2024). FSP4HSP: Frequent sequential patterns for the improved classification of heat shock proteins, their families, and sub-types. International Journal of Biological Macromolecules. 277(Pt 1). 134147–134147. 3 indexed citations
10.
Nawaz, M. Saqib, et al.. (2024). Exploiting the sequential nature of genomic data for improved analysis and identification. Computers in Biology and Medicine. 183. 109307–109307. 3 indexed citations
11.
Frnda, Jaroslav, Marek Ďurica, Jerry Chun‐Wei Lin, & Philippe Fournier‐Viger. (2024). Video dataset containing video quality assessment scores obtained from standardized objective and subjective testing. Data in Brief. 54. 110458–110458. 2 indexed citations
12.
Zhao, Di, Yun Sing Koh, Gillian Dobbie, Hongsheng Hu, & Philippe Fournier‐Viger. (2024). Symmetric Self-Paced Learning for Domain Generalization. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16961–16969. 2 indexed citations
13.
Boo, Yee Ling, Manik Gupta, Weijia Zhang, & Philippe Fournier‐Viger. (2024). Special Issue Editorial on “The Innovative Use of Data Science to Transform How We Work and Live”. Data Science and Engineering. 9(1). 3–4.
14.
Huang, Shan, et al.. (2023). Targeted mining of top-k high utility itemsets. Engineering Applications of Artificial Intelligence. 126. 107047–107047. 8 indexed citations
15.
Zhang, Qin, et al.. (2023). G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. Griffith Research Online (Griffith University, Queensland, Australia). 4576–4583. 3 indexed citations
16.
He, Cheng, et al.. (2023). Mining credible attribute rules in dynamic attributed graphs. Expert Systems with Applications. 246. 123012–123012. 4 indexed citations
17.
Nawaz, M. Saqib, et al.. (2023). Comparative Analysis and Classification of SARS-CoV-2 Spike Protein Structures in PDB. SHILAP Revista de lepidopterología. 3(4). 452–471. 1 indexed citations
18.
Lin, Jerry Chun‐Wei, et al.. (2019). Mining of high average-utility patterns with item-level thresholds. 網際網路技術學刊. 20(1). 187–194. 6 indexed citations
19.
Lin, Jerry Chun‐Wei, Yinan Shao, Philippe Fournier‐Viger, & Hamido Fujita. (2019). BILU-NEMH: A BILU neural-encoded mention hypergraph for mention extraction. Information Sciences. 496. 53–64. 12 indexed citations
20.
Faghihi, Usef, Philippe Fournier‐Viger, & Roger Nkambou. (2011). Implementing an efficient causal learning mechanism in a cognitive tutoring agent. 27–36. 3 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

Breakdown of academic impact, for papers by Tzung‐Pei Hong Breakdown of academic impact, for papers by Yiwen Yin Breakdown of academic impact, for papers by Jianyong Wang Breakdown of academic impact, for papers by Meichun Hsu Breakdown of academic impact, for papers by Gregory Piatetsky-Shapiro Breakdown of academic impact, for papers by Ming-Syan Chen⋆ Breakdown of academic impact, for papers by Roberto J. Bayardo Breakdown of academic impact, for papers by Yiming Ma Breakdown of academic impact, for papers by Hong Cheng Breakdown of academic impact, for papers by Petra Perner
Rankless by CCL
2026