Chenhao Tan

5.6k citations
90 papers · 1.5k indexed · h-index 22

Chenhao Tan

83 papers receiving 1.5k citations

Peers

Chenhao Tan
Comparison fields: 5 of 119
  • Health Informatics 57
  • Artificial Intelligence 847
  • Communication 157
  • Statistical and Nonlinear Physics 188
  • Computer Science Applications 81
Replace Bettina Berendt with:
Bettina Berendt Belgium
John O’Donovan United States
Michelle X. Zhou United States
Denis Parra Chile
Amos Azaria Israel
Q. Vera Liao United States
Rino Falcone Italy
Casey Dugan United States
Yoram Bachrach United Kingdom
Béla Gipp Germany
Chenhao Tan relative to Bettina Berendt Belgium Bettina Berendt's profile →
Citations per field
00.5×2.6×
Bettina Berendt · 1×
Citations per year

Countries citing papers authored by Chenhao Tan

Since Specialization
Citations

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

Fields of papers citing papers by Chenhao Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Chenhao Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chenhao Tan Line = papers co-authored together Chenhao Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20241
4 20248
5 20243
6 20230
7 20232
8 202361
9 20231
10 20231
11 20230
12 202247
13 20228
14
Social Contagion of Gift Exchange in Online Groups
20191
15
Ask not what AI can do, but what AI should do: Towards a framework of task delegability
20196
16 201937
17
A Neural Framework for Generalized Topic Models.
20177
18 20174
19
Joint Bilingual Sentiment Classification with Unlabeled Parallel Corpora
201160
20
THU-IMG at TRECVID 2009
20091

About Chenhao Tan

Chenhao Tan is a scholar working on Communication, Artificial Intelligence, General Social Sciences, Statistical and Nonlinear Physics and Computer Science Applications, having authored 90 papers that have together received 1.5k indexed citations. Recurring topics across this work include Topic Modeling (23 papers), Explainable Artificial Intelligence (XAI) (11 papers), Complex Network Analysis Techniques (11 papers), Opinion Dynamics and Social Influence (11 papers), Natural Language Processing Techniques (8 papers), Social Media and Politics (7 papers), Misinformation and Its Impacts (6 papers) and Expert finding and Q&A systems (5 papers). The work is most often cited by research in Health Informatics (57 citations), Artificial Intelligence (847 citations), Communication (157 citations), Statistical and Nonlinear Physics (188 citations) and Computer Science Applications (81 citations). Chenhao Tan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Vivian Lai, Lillian Lee, Noah A. Smith, Chao Luo, Yangfeng Ji, Jie Tang, Léa H. Stern, Michael S. Weisbach, Isil Erel and Elizabeth Clark. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Scientific Reports, International Journal of Approximate Reasoning, Nature Communications and Management Science.

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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