Hao-Fei Cheng

537 citations
9 papers · 328 · 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)CHI Conference on Human Factors in Computing Systems (2 papers)Designing Interactive Systems Conference (1 paper)
Partner nations
United StatesHong Kong

In The Last Decade

Hao-Fei Cheng

8 papers receiving 321 citations

Peers

Hao-Fei Cheng
Comparison fields: 5 of 66
  • Health Informatics 46
  • Safety Research 153
  • Artificial Intelligence 180
  • General Decision Sciences 9
  • Human-Computer Interaction 20
Replace Maurice Jakesch with:
Maurice Jakesch United States
Nina Grgić-Hlača Germany
Venkatesh Sivaraman United States
John Zerilli United Kingdom
Daniel Susser United States
Janghee Cho United States
Reuben Binns United Kingdom
Samuel Carton United States
Ulrik Lyngs United Kingdom
Pratyusha Kalluri United States
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 2019181
2 202270
3 202240
4 202221
5 20196
6 20204
7 20233
8 20192
9 20241

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 328 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (4 papers), Social Media and Politics (2 papers), Persona Design and Applications (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Digital Marketing and Social Media (2 papers), Advanced Text Analysis Techniques (1 paper), Expert finding and Q&A systems (1 paper) and Online Learning and Analytics (1 paper). The work is most often cited by research in Health Informatics (46 citations), Safety Research (153 citations), Artificial Intelligence (180 citations), General Decision Sciences (9 citations) and Human-Computer Interaction (20 citations). Hao-Fei Cheng has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Haiyi Zhu, Ruotong Wang, Zheng Zhang, F. Maxwell Harper, Fiona O’Connell, Venkatesh Sivaraman, Logan Stapleton, Zhiwei Steven Wu, Adam Perer and Kenneth Holstein. 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), CHI Conference on Human Factors in Computing Systems and Designing Interactive Systems Conference.

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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