Johannes Deleu
- Artificial Intelligence top 2%
- Topic Modeling 25
- Natural Language Processing Techniques 20
- Advanced Text Analysis Techniques 6
- Semantic Web and Ontologies 3
- Authorship Attribution and Profiling 3
- Machine Learning and Algorithms 2
- Sentiment Analysis and Opinion Mining 2
- Information Systems top 10%
- Expert finding and Q&A systems 2
- General Social Sciences top 10%
- Co-authors
- Chris DevelderThomas DemeesterGiannis BekoulisNasrin SadeghianpourhamamiBrecht VermeulenYiwei JiangPiet DemeesterR. Beuscart
- Journals
- Expert Systems with Applications (3 papers)IEEE Access (1 paper)Knowledge-Based Systems (1 paper)
- Partner nations
- BelgiumUnited StatesDenmark
In The Last Decade
Johannes Deleu
31 papers receiving 559 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 517
- Management Science and Operations Research 65
- Information Systems 93
- General Social Sciences 7
- Computer Vision and Pattern Recognition 36
Countries citing papers authored by Johannes Deleu
This map shows the geographic impact of Johannes Deleu'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 Johannes Deleu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johannes Deleu more than expected).
Fields of papers citing papers by Johannes Deleu
This network shows the impact of papers produced by Johannes Deleu. 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 Johannes Deleu. The network helps show where Johannes Deleu may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Johannes Deleu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 7 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 14 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 5 | |
| 9 | 2019 | 13 | |
| 10 | 2019 | 7 | |
| 11 | Adversarial training for multi-context joint entity and relation extraction | 2018 | 122 |
| 12 | 2018 | 8 | |
| 13 | 2017 | 10 | |
| 14 | 2016 | 6 | |
| 15 | Ghent University-IBCN participation in the TAC KBP 2015 cold start slot filling task | 2015 | 1 |
| 16 | 2015 | 40 | |
| 17 | Using active learning and semantic clustering for noise reduction in distant supervision | 2014 | 8 |
| 18 | UGent Participation in the TAC 2013 Entity-Linking Task | 2012 | 0 |
| 19 | UGent Participation in the Microblog Track 2012 | 2012 | 4 |
| 20 | 2009 | 1 |
About Johannes Deleu
Johannes Deleu is a scholar working on Artificial Intelligence, Toxicology and Information Systems, having authored 32 papers that have together received 584 indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Natural Language Processing Techniques (20 papers), Advanced Text Analysis Techniques (6 papers), Semantic Web and Ontologies (3 papers), Authorship Attribution and Profiling (3 papers), Expert finding and Q&A systems (2 papers), Machine Learning and Algorithms (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Artificial Intelligence (517 citations), Management Science and Operations Research (65 citations) and Information Systems (93 citations). Johannes Deleu has collaborated with scholars based in Belgium, United States and Denmark. Frequent co-authors include Chris Develder, Thomas Demeester, Giannis Bekoulis, Nasrin Sadeghianpourhamami, Brecht Vermeulen, Yiwei Jiang, Piet Demeester, R. Beuscart, Tim Wauters and Christopher Potts. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Knowledge-Based Systems.
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.