Myra Cheng
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- General Social Sciences top 5%
- Computational and Text Analysis Methods
Papers in
-
- Social Media and Politics 1
- Co-authors
- Dan Jurafsky (4 shared papers)Esin Durmus (3 shared papers)Pratyusha Kalluri (2 shared papers)James Zou (1 shared paper)Federico Bianchi (1 shared paper)Debora Nozza (1 shared paper)Faisal Ladhak (1 shared paper)Aylin Caliskan (1 shared paper)
- Journals
- Nature (1 paper)Data Mining and Knowledge Discovery (1 paper)SHILAP Revista de lepidopterología (1 paper)BOA (University of Milano-Bicocca) (1 paper)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Myra Cheng
8 papers receiving 187 citations
Myra Cheng's Hit Papers
Peers
Comparison fields: 5 of 62
- Health Informatics 16
- General Social Sciences 20
- Safety Research 36
- Human-Computer Interaction 21
- Artificial Intelligence 73
Countries citing papers authored by Myra Cheng
This map shows the geographic impact of Myra 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 Myra Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Myra Cheng more than expected).
Fields of papers citing papers by Myra Cheng
This network shows the impact of papers produced by Myra 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 Myra Cheng. The network helps show where Myra Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Myra Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale Hit paper breakdown → | 2023 | 118 |
| 2 | 2023 | 39 | |
| 3 | 2023 | 19 | |
| 4 | 2023 | 5 | |
| 5 | 2025 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 2 |
About Myra Cheng
Myra Cheng is a scholar working on Sociology and Political Science, Communication, Information Systems, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 8 papers that have together received 191 indexed citations. Recurring topics across this work include Social Media and Politics (1 paper), Natural Language Processing Techniques (1 paper), Video Surveillance and Tracking Methods (1 paper), Face recognition and analysis (1 paper), Persona Design and Applications (1 paper), Ethics and Social Impacts of AI (1 paper), Human Pose and Action Recognition (1 paper) and Opinion Dynamics and Social Influence (1 paper). The work is most often cited by research in Health Informatics (16 citations), General Social Sciences (20 citations), Safety Research (36 citations), Human-Computer Interaction (21 citations) and Artificial Intelligence (73 citations). Myra Cheng has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Dan Jurafsky, Esin Durmus, Pratyusha Kalluri, James Zou, Federico Bianchi, Debora Nozza, Faisal Ladhak, Aylin Caliskan, Tatsunori Hashimoto and Diyi Yang. Their work appears in journals such as Nature, Data Mining and Knowledge Discovery, SHILAP Revista de lepidopterología and BOA (University of Milano-Bicocca).
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.