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)Barbara McGillivray (2 shared papers)Dominik Schlechtweg (1 shared paper)Haim Dubossarsky (1 shared paper)Mark J. Hill (1 shared paper)Adam Jatowt (2 shared papers)Lars Borin (3 shared papers)Yang Xu (1 shared paper)
- Journals
- Digital Scholarship in the Humanities (3 papers)SHILAP Revista de lepidopterología (4 papers)Digital humanities quarterly (1 paper)BiblioBoard Library Catalog (Open Research Library) (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
In The Last Decade
Simon Hengchen
16 papers receiving 188 citations
Peers
Comparison fields: 5 of 51
- General Social Sciences 28
- Cultural Studies 61
- Artificial Intelligence 135
- Linguistics and Language 13
- Conservation 6
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 22 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 | 95 | |
| 2 | 2019 | 36 | |
| 3 | 2021 | 17 | |
| 4 | 2019 | 13 | |
| 5 | 2021 | 7 | |
| 6 | 2018 | 6 | |
| 7 | 2016 | 6 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 3 | |
| 11 | The Strengths and Pitfalls of Large-Scale Text Mining for Literary Studies | 2019 | 2 |
| 12 | 2021 | 2 | |
| 13 | When Does it Mean? Detecting Semantic Change in Historical Texts | 2017 | 2 |
| 14 | 2020 | 1 | |
| 15 | 2019 | 1 | |
| 16 | Scrambling for Metadata: Using Topic Modeling and Word2Vec to Explore the Archives of the European Commission | 2017 | 1 |
| 17 | 2023 | 0 | |
| 18 | 2015 | 0 | |
| 19 | 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 19 papers that have together received 202 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), Semantic Web and Ontologies (3 papers), Digital Humanities and Scholarship (3 papers), Language and cultural evolution (3 papers), Data Quality and Management (3 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in General Social Sciences (28 citations), Cultural Studies (61 citations), Artificial Intelligence (135 citations), Linguistics and Language (13 citations) and Conservation (6 citations). Simon Hengchen has collaborated with scholars based in Sweden, Finland and Belgium. Frequent co-authors include Nina Tahmasebi, Barbara McGillivray, Dominik Schlechtweg, Haim Dubossarsky, Mark J. Hill, Adam Jatowt, Lars Borin, Yang Xu, Jani Marjanen and Max De Wilde. Their work appears in journals such as Digital Scholarship in the Humanities, SHILAP Revista de lepidopterología, Digital humanities quarterly, BiblioBoard Library Catalog (Open Research Library) and Zenodo (CERN European Organization for Nuclear Research).
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.