Simon Hengchen

693 total citations
19 papers, 202 citations indexed

About

Simon Hengchen is a scholar working on Artificial Intelligence, General Social Sciences and Information Systems. According to data from OpenAlex, Simon Hengchen has authored 19 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in General Social Sciences and 3 papers in Information Systems. Recurrent topics in Simon Hengchen's work include Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Computational and Text Analysis Methods (5 papers). Simon Hengchen is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Computational and Text Analysis Methods (5 papers). Simon Hengchen collaborates with scholars based in Sweden, Finland and Belgium. Simon Hengchen's co-authors include Nina Tahmasebi, Barbara McGillivray, Dominik Schlechtweg, Haim Dubossarsky, Mark J. Hill, Lars Borin, Adam Jatowt, Max De Wilde, Jani Marjanen and Mikko Tolonen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Digital Scholarship in the Humanities and Digital humanities quarterly.

In The Last Decade

Simon Hengchen

16 papers receiving 188 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Simon Hengchen Sweden 7 135 61 28 18 16 19 202
Folgert Karsdorp Netherlands 8 106 0.8× 17 0.3× 22 0.8× 36 2.0× 16 1.0× 32 200
Erik Velldal Norway 14 467 3.5× 57 0.9× 27 1.0× 5 0.3× 13 0.8× 45 525
Andrey Kutuzov Norway 8 185 1.4× 80 1.3× 18 0.6× 3 0.2× 5 0.3× 38 219
Dominik Schlechtweg Germany 7 214 1.6× 99 1.6× 12 0.4× 4 0.2× 4 0.3× 13 241
Lidia Pivovarova Finland 8 166 1.2× 43 0.7× 15 0.5× 2 0.1× 3 0.2× 36 197
Tanja Säily Finland 9 96 0.7× 25 0.4× 6 0.2× 27 1.5× 16 1.0× 38 228
Alina Maria Ciobanu Romania 8 178 1.3× 63 1.0× 3 0.1× 7 0.4× 8 0.5× 28 236
Gabriella Lapesa Germany 9 160 1.2× 14 0.2× 17 0.6× 3 0.2× 2 0.1× 29 198
Thomas Proisl Germany 8 168 1.2× 6 0.1× 9 0.3× 17 0.9× 10 0.6× 23 196
Anders Johannsen Denmark 11 363 2.7× 6 0.1× 11 0.4× 2 0.1× 20 1.3× 26 391

Countries citing papers authored by Simon Hengchen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Simon Hengchen

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Hengchen. A scholar is included among the top collaborators of Simon Hengchen 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 Simon Hengchen. Simon Hengchen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Borin, Lars, Markus Forsberg, Martin Malmsten, et al.. (2023). Superlim: A Swedish Language Understanding Evaluation Benchmark. 8137–8153.
2.
Marjanen, Jani, Elaine Zosa, Simon Hengchen, Lidia Pivovarova, & Mikko Tolonen. (2021). Topic Modelling Discourse Dynamics in Historical Newspapers. SHILAP Revista de lepidopterología. 3(2). 63–77. 7 indexed citations
3.
Hengchen, Simon, Yang Xu, Nina Tahmasebi, Adam Jatowt, & Lars Borin. (2021). Computational approaches to semantic change (Volume 6). BiblioBoard Library Catalog (Open Research Library). 5 indexed citations
4.
Romanello, Matteo & Simon Hengchen. (2021). Detecting Text Reuse with Passim. SHILAP Revista de lepidopterología. 2 indexed citations
5.
Tahmasebi, Nina, Lars Borin, Adam Jatowt, Yang Xu, & Simon Hengchen. (2021). Computational approaches to semantic change. Zenodo (CERN European Organization for Nuclear Research). 17 indexed citations
6.
Hengchen, Simon & Nina Tahmasebi. (2021). A Collection of Swedish Diachronic Word Embedding Models Trained on Historical Newspaper Data. SHILAP Revista de lepidopterología. 7. 3 indexed citations
7.
Hengchen, Simon, et al.. (2021). A data-driven approach to studying changing vocabularies in historical newspaper collections. Digital Scholarship in the Humanities. 36(Supplement_2). ii109–ii126. 5 indexed citations
8.
Zosa, Elaine, Simon Hengchen, Jani Marjanen, Lidia Pivovarova, & Mikko Tolonen. (2020). Disappearing Discourses: Avoiding anachronisms and teleology with data-driven methods in studying digital newspaper collections. Työväentutkimus Vuosikirja. 1 indexed citations
9.
Schlechtweg, Dominik, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky, & Nina Tahmasebi. (2020). SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection. Apollo (University of Cambridge). 1–23. 95 indexed citations
10.
Tahmasebi, Nina & Simon Hengchen. (2019). The Strengths and Pitfalls of Large-Scale Text Mining for Literary Studies. Työväentutkimus Vuosikirja. 140. 198–227. 2 indexed citations
11.
Hill, Mark J. & Simon Hengchen. (2019). Quantifying the impact of dirty OCR on historical text analysis: Eighteenth Century Collections Online as a case study. Digital Scholarship in the Humanities. 34(4). 825–843. 36 indexed citations
12.
McGillivray, Barbara, et al.. (2019). A computational approach to lexical polysemy in Ancient Greek. Digital Scholarship in the Humanities. 34(4). 893–907. 13 indexed citations
13.
Hengchen, Simon, et al.. (2019). ‘Workers of the World’? A Digital Approach to Classify the International Scope of Belgian Socialist Newspapers, 1885–1940. SHILAP Revista de lepidopterología. 4(1). 1 indexed citations
14.
Wilde, Max De & Simon Hengchen. (2018). Semantic Enrichment of a Multilingual Archive with Linked Open Data. Digital humanities quarterly. 11(4). 6 indexed citations
15.
Hengchen, Simon. (2017). When Does it Mean? Detecting Semantic Change in Historical Texts. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 2 indexed citations
16.
Hengchen, Simon, et al.. (2017). Scrambling for Metadata: Using Topic Modeling and Word2Vec to Explore the Archives of the European Commission. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 1 indexed citations
17.
18.
Hengchen, Simon, et al.. (2015). L’extraction d’entités nommées : une opportunité pour le secteur culturel ?. Volume 52(2). 70–79.
19.
Hengchen, Simon, et al.. (2014). NER as a gateway drug to the Linked Data cloud: Application of Named-Entity Recognition on cultural heritage metadata. 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.

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