Hugo Liu

2.3k total citations
23 papers, 1.1k citations indexed

About

Hugo Liu is a scholar working on Artificial Intelligence, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Hugo Liu has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Social Psychology and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Hugo Liu's work include Topic Modeling (4 papers), Advanced Text Analysis Techniques (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). Hugo Liu is often cited by papers focused on Topic Modeling (4 papers), Advanced Text Analysis Techniques (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). Hugo Liu collaborates with scholars based in United States. Hugo Liu's co-authors include Henry Lieberman, Ted Selker, Rada Mihalcea, Push Singh, Pattie Maes, Glorianna Davenport, Barbara Barry and Pattie Maes and has published in prestigious journals such as Journal of Computer-Mediated Communication, AI Magazine and International Journal on Semantic Web and Information Systems.

In The Last Decade

Hugo Liu

22 papers receiving 963 citations

Peers

Hugo Liu
Comparison fields: 5 of 83
  • Artificial Intelligence 647
  • Sociology and Political Science 274
  • Information Systems 197
  • Social Psychology 146
  • Communication 134
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Citations per field, relative to Hugo Liu
Hugo Liu · 1×
Citations per year, relative to Hugo Liu
Hugo Liu · 1×

Countries citing papers authored by Hugo Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hugo Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hugo Liu

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

All Works

20 of 20 papers shown
# Work Indexed citations
1
Of Men, Women, and Computers: Data-Driven Gender Modeling for Improved User Interfaces
23
2 231
3
A Corpus-based Approach to Finding Happiness
115
4 2
5 68
6
The Aesthetiscope: Visualizing Aesthetic Readings of Text in Color Space.
5
7 19
8 0
9 36
10 5
11 57
12 3
13 2
14
OMCSNet: A Commonsense Inference Toolkit
11
15 332
16 3
17 33
18 32
19
Robust Photo Retrieval Using World Semantics
17
20
Automatic Affective Feedback in an Email Browser
9

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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