Li Lucy
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- General Social Sciences top 1%
- Computational and Text Analysis Methods
Papers in
-
- Natural Language Processing Techniques 4
- Topic Modeling 4
- Authorship Attribution and Profiling 2
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- Computational and Text Analysis Methods 4
- Co-authors
- David Bamman (6 shared papers)Dan Jurafsky (1 shared paper)Patricia Bromley (1 shared paper)Dorottya Demszky (2 shared papers)Jon Gauthier (1 shared paper)Mei Li (1 shared paper)Marshini Chetty (1 shared paper)Priya Kumar (1 shared paper)
- Journals
- Experimental Eye Research (1 paper)Journal of Emergency Medicine (1 paper)AERA Open (1 paper)Transactions of the Association for Computational Linguistics (1 paper)
- Partner nations
- United States
In The Last Decade
Li Lucy
11 papers receiving 281 citations
Li Lucy's Hit Papers
Peers
Comparison fields: 5 of 73
- Health Informatics 49
- General Social Sciences 40
- Artificial Intelligence 163
- Computer Science Applications 21
- Safety Research 29
Countries citing papers authored by Li Lucy
This map shows the geographic impact of Li Lucy'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 Li Lucy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Lucy more than expected).
Fields of papers citing papers by Li Lucy
This network shows the impact of papers produced by Li Lucy. 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 Li Lucy. The network helps show where Li Lucy may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Lucy, 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 | Gender and Representation Bias in GPT-3 Generated Stories Hit paper breakdown → | 2021 | 164 |
| 2 | 2020 | 63 | |
| 3 | 2017 | 21 | |
| 4 | 2021 | 21 | |
| 5 | 2018 | 11 | |
| 6 | 2023 | 10 | |
| 7 | 2022 | 6 | |
| 8 | 2023 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2024 | 0 | |
| 14 | 2025 | 0 |
About Li Lucy
Li Lucy is a scholar working on Artificial Intelligence, General Social Sciences, Sociology and Political Science, Education and Human-Computer Interaction, having authored 14 papers that have together received 301 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Computational and Text Analysis Methods (4 papers), Topic Modeling (4 papers), Authorship Attribution and Profiling (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Complex Network Analysis Techniques (1 paper), Social Media and Politics (1 paper) and Global trade, sustainability, and social impact (1 paper). The work is most often cited by research in Health Informatics (49 citations), General Social Sciences (40 citations), Artificial Intelligence (163 citations), Computer Science Applications (21 citations) and Safety Research (29 citations). Li Lucy has collaborated with scholars based in United States. Frequent co-authors include David Bamman, Dan Jurafsky, Patricia Bromley, Dorottya Demszky, Jon Gauthier, Mei Li, Marshini Chetty, Priya Kumar, Tamara Clegg and Alex C. Onishi. Their work appears in journals such as Experimental Eye Research, Journal of Emergency Medicine, AERA Open and Transactions of the Association for Computational Linguistics.
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.