Hao-Fei Cheng

576 citations
9 papers · 369 · h-index 5

Impact in

Papers in

Journals
Proceedings of the ACM on Human-Computer Interaction (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)Designing Interactive Systems Conference (1 paper)CHI Conference on Human Factors in Computing Systems (2 papers)
Partner nations
United StatesHong Kong

In The Last Decade

Hao-Fei Cheng

9 papers receiving 360 citations

Peers

Hao-Fei Cheng
Comparison fields: 5 of 69
  • Health Informatics 47
  • Safety Research 161
  • Artificial Intelligence 189
  • General Decision Sciences 9
  • Human-Computer Interaction 23
Replace Maurice Jakesch with:
Maurice Jakesch United States
Venkatesh Sivaraman United States
Daniel Susser United States
John Zerilli United Kingdom
Janghee Cho United States
Michael Katell United States
Ulrik Lyngs United Kingdom
Meva Demir Kaya Türkiye
Pratyusha Kalluri United States
Anat Elhalal United Kingdom
Hao-Fei Cheng relative to Maurice Jakesch United States Maurice Jakesch's profile →
Citations per field
00.5×2.9×
Maurice Jakesch · 1×
Citations per year

Countries citing papers authored by Hao-Fei Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Hao-Fei Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hao-Fei Cheng. 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 Hao-Fei Cheng. The network helps show where Hao-Fei Cheng may publish in the future.

Co-authors

The 20 scholars most cited alongside Hao-Fei Cheng, 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 Hao-Fei Cheng Line = papers co-authored together Hao-Fei Cheng links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2019192
2 202288
3 202248
4 202224
5 20196
6 20204
7 20233
8 20242
9 20192

About Hao-Fei Cheng

Hao-Fei Cheng is a scholar working on Safety Research, Human-Computer Interaction, Communication, Sociology and Political Science and Information Systems, having authored 9 papers that have together received 369 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (4 papers), Artificial Intelligence in Healthcare and Education (2 papers), Digital Marketing and Social Media (2 papers), Persona Design and Applications (2 papers), Social Media and Politics (2 papers), Spam and Phishing Detection (1 paper), Open Source Software Innovations (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Health Informatics (47 citations), Safety Research (161 citations), Artificial Intelligence (189 citations), General Decision Sciences (9 citations) and Human-Computer Interaction (23 citations). Hao-Fei Cheng has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Haiyi Zhu, Fiona O’Connell, Zheng Zhang, F. Maxwell Harper, Ruotong Wang, Venkatesh Sivaraman, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu and Logan Stapleton. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Rare & Special e-Zone (The Hong Kong University of Science and Technology), Designing Interactive Systems Conference 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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