Li Lucy
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- General Social Sciences top 1%
- Computational and Text Analysis Methods
Papers in
-
- Topic Modeling 4
- Natural Language Processing Techniques 4
- Authorship Attribution and Profiling 2
- Intelligent Tutoring Systems and Adaptive Learning 1
- Sentiment Analysis and Opinion Mining 1
-
- 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)Chun‐hong Xia (1 shared paper)Virginia L. Byrne (1 shared paper)Alex C. Onishi (1 shared paper)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)AERA Open (1 paper)Experimental Eye Research (1 paper)Journal of Emergency Medicine (1 paper)
- Partner nations
- United States
In The Last Decade
Li Lucy
11 papers receiving 318 citations
Li Lucy's Hit Papers
Peers
Comparison fields: 5 of 73
- Health Informatics 52
- General Social Sciences 42
- Artificial Intelligence 178
- Computer Science Applications 24
- Safety Research 32
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 | 184 |
| 2 | 2020 | 70 | |
| 3 | 2017 | 25 | |
| 4 | 2021 | 22 | |
| 5 | 2018 | 12 | |
| 6 | 2023 | 12 | |
| 7 | 2022 | 5 | |
| 8 | 2023 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2024 | 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 335 indexed citations. Recurring topics across this work include Computational and Text Analysis Methods (4 papers), Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers), Authorship Attribution and Profiling (2 papers), Educator Training and Historical Pedagogy (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper), Sentiment Analysis and Opinion Mining (1 paper) and Retinal and Optic Conditions (1 paper). The work is most often cited by research in Health Informatics (52 citations), General Social Sciences (42 citations), Artificial Intelligence (178 citations), Computer Science Applications (24 citations) and Safety Research (32 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, Chun‐hong Xia, Virginia L. Byrne, Alex C. Onishi, Priya Kumar and Marshini Chetty. Their work appears in journals such as Transactions of the Association for Computational Linguistics, AERA Open, Experimental Eye Research and Journal of Emergency Medicine.
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.