Quan Ze Chen

800 citations
11 papers · 464 indexed · 1 hit paper · h-index 7
Topics
Mobile Crowdsensing and Crowdsourcing (4 papers)Topic Modeling (3 papers)Social Media and Politics (2 papers)

In The Last Decade

Quan Ze Chen

9 papers receiving 436 citations

Hit Papers

Optimizing Statistical Machine Translation for Text Simpl...2016202620192022201650100150200250

Peers

Quan Ze Chen
Comparison fields: 5 of 56
  • Artificial Intelligence 374
  • Sociology and Political Science 47
  • Information Systems 42
  • Communication 34
  • Computer Science Applications 25
Replace Samuel Carton with:
Samuel Carton United States
Kaitlyn Zhou United States
Sowmya Vajjala United States
Kellie Webster United States
Lorenzo Gatti Italy
Michelle S. Lam United States
Hendrik Heuer Germany
Στέργιος Τέγος Greece
Raphael Meyer von Wolff Germany
Nan‐Chen Chen United States
Quan Ze Chen relative to Samuel Carton United States Samuel Carton's profile →
Citations per field
00.5×5.2×
Samuel Carton · 1×
Citations per year

Countries citing papers authored by Quan Ze Chen

Since Specialization
Citations

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

Fields of papers citing papers by Quan Ze Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Quan Ze Chen. 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 Quan Ze Chen. The network helps show where Quan Ze Chen may publish in the future.

Co-authorship network of co-authors of Quan Ze Chen

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 0
3 36
4 7
5 37
6 3
7 9
8 41
9 29
10
Optimizing Statistical Machine Translation for Text Simplificationbreakdown →
298
11 4

About Quan Ze Chen

Quan Ze Chen is a scholar working on Computer Science Applications, Health Informatics and Artificial Intelligence, having authored 11 papers that have together received 464 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (4 papers), Topic Modeling (3 papers) and Social Media and Politics (2 papers). The work is most often cited by research in Artificial Intelligence (374 citations), Health Informatics (10 citations) and Communication (34 citations). Quan Ze Chen has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Wei Xu, Courtney Napoles, Chris Callison-Burch, Ellie Pavlick, Amy X. Zhang, Shagun Jhaver, Jonathan Bragg, Dan Weld, Lydia B. Chilton and Ruotong Wang. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Proceedings of the ACM on Human-Computer Interaction and CHI Conference on Human Factors in Computing 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.

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