Jiaao Chen

639 citations
9 papers · 114 indexed · h-index 5
Topics
Misinformation and Its Impacts (3 papers)Topic Modeling (3 papers)Sentiment Analysis and Opinion Mining (2 papers)
Journals
MeasurementTransactions of the Association for Computational LinguisticsFindings of the Association for Computational Linguistics: ACL 2022
Partner nations
United StatesChina

In The Last Decade

Jiaao Chen

8 papers receiving 110 citations

Peers

Jiaao Chen
Comparison fields: 5 of 38
  • Artificial Intelligence 90
  • Computer Vision and Pattern Recognition 18
  • Management Science and Operations Research 14
  • Sociology and Political Science 10
  • Information Systems 9
Replace Petri Leskinen with:
Petri Leskinen Finland
Emanuela Boroş France
Xiachong Feng China
Logan Lebanoff United States
Alexey Sorokin Russia
Benjamin Heinzerling Japan
Martin Atkinson Italy
Hangfeng He United States
Marzieh Saeidi United Kingdom
Prajjwal Bhargava United States
Jiaao Chen relative to Petri Leskinen Finland Petri Leskinen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jiaao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jiaao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaao Chen

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 1
5 59
6 4
7 10
8 33
9 5

About Jiaao Chen

Jiaao Chen is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Industrial and Manufacturing Engineering, having authored 9 papers that have together received 114 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (3 papers), Topic Modeling (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Artificial Intelligence (90 citations), General Social Sciences (6 citations) and Management Science and Operations Research (14 citations). Jiaao Chen has collaborated with scholars based in United States and China. Frequent co-authors include Diyi Yang, Colin Raffel, Derek Tam, Mohit Bansal, Zichao Yang, Ran Tian, Yanzhe Zhang, Omar Shaikh, Jon Saad-Falcon and Qixin Zhu. Their work appears in journals such as Measurement, Transactions of the Association for Computational Linguistics and Findings of the Association for Computational Linguistics: ACL 2022.

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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