Simon Hengchen
Impact in
- General Social Sciences top 2%
- Computational and Text Analysis Methods
- Cultural Studies top 2%
- Language and cultural evolution
Papers in
-
- Topic Modeling 9
- Natural Language Processing Techniques 7
- Semantic Web and Ontologies 3
- Advanced Text Analysis Techniques 2
-
- Computational and Text Analysis Methods 5
- Co-authors
- Nina Tahmasebi (6 shared papers)Mark J. Hill (1 shared paper)Barbara McGillivray (2 shared papers)Dominik Schlechtweg (1 shared paper)Haim Dubossarsky (1 shared paper)Lars Borin (3 shared papers)Adam Jatowt (2 shared papers)Max De Wilde (4 shared papers)
- Journals
- Digital Scholarship in the Humanities (3 papers)Brussels Studies (1 paper)Digital humanities quarterly (1 paper)Ghent University Academic Bibliography (Ghent University) (3 papers)Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (3 papers)
In The Last Decade
Simon Hengchen
18 papers receiving 209 citations
Peers
Comparison fields: 5 of 52
- General Social Sciences 35
- Cultural Studies 72
- Artificial Intelligence 154
- Linguistics and Language 16
- Conservation 8
Countries citing papers authored by Simon Hengchen
This map shows the geographic impact of Simon Hengchen'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 Simon Hengchen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Hengchen more than expected).
Fields of papers citing papers by Simon Hengchen
This network shows the impact of papers produced by Simon Hengchen. 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 Simon Hengchen. The network helps show where Simon Hengchen may publish in the future.
Co-authors
The 24 scholars most cited alongside Simon Hengchen, 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 | 2020 | 103 | |
| 2 | 2019 | 50 | |
| 3 | 2021 | 18 | |
| 4 | 2019 | 14 | |
| 5 | 2021 | 9 | |
| 6 | 2016 | 8 | |
| 7 | 2018 | 7 | |
| 8 | 2021 | 7 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 3 | |
| 12 | When Does it Mean? Detecting Semantic Change in Historical Texts | 2017 | 3 |
| 13 | The Strengths and Pitfalls of Large-Scale Text Mining for Literary Studies | 2019 | 2 |
| 14 | 2019 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2020 | 1 | |
| 18 | Scrambling for Metadata: Using Topic Modeling and Word2Vec to Explore the Archives of the European Commission | 2017 | 1 |
| 19 | 2015 | 0 | |
| 20 | NER as a gateway drug to the Linked Data cloud: Application of Named-Entity Recognition on cultural heritage metadata | 2014 | 0 |
About Simon Hengchen
Simon Hengchen is a scholar working on Artificial Intelligence, General Social Sciences, Information Systems, Literature and Literary Theory and Cultural Studies, having authored 20 papers that have together received 238 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers), Computational and Text Analysis Methods (5 papers), Language and cultural evolution (3 papers), Semantic Web and Ontologies (3 papers), Data Quality and Management (3 papers), Digital Humanities and Scholarship (3 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in General Social Sciences (35 citations), Cultural Studies (72 citations), Artificial Intelligence (154 citations), Linguistics and Language (16 citations) and Conservation (8 citations). Simon Hengchen has collaborated with scholars based in Sweden, Finland and Belgium. Frequent co-authors include Nina Tahmasebi, Mark J. Hill, Barbara McGillivray, Dominik Schlechtweg, Haim Dubossarsky, Lars Borin, Adam Jatowt, Max De Wilde, Jani Marjanen and Yang Xu. Their work appears in journals such as Digital Scholarship in the Humanities, Brussels Studies, Digital humanities quarterly, Ghent University Academic Bibliography (Ghent University) and Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles).
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.