Yuling Gu
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- General Social Sciences top 2%
- Computational and Text Analysis Methods
Papers in ⓘ
-
- Natural Language Processing Techniques 4
- Topic Modeling 4
- Explainable Artificial Intelligence (XAI) 2
- Surgery 2
- Coronary Interventions and Diagnostics 1
- Co-authors
- Niket Tandon (2 shared papers)Kurt Gray (1 shared paper)Peter Clark (3 shared papers)Bhavana Dalvi (1 shared paper)Shumin Wang (1 shared paper)Hao Liu (1 shared paper)Linlin Fan (1 shared paper)Ze Yu (1 shared paper)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (1 paper)BioMed Research International (1 paper)Trends in Cognitive Sciences (1 paper)Taiwanese Journal of Obstetrics and Gynecology (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Yuling Gu
10 papers receiving 210 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Health Informatics 18
- General Social Sciences 30
- General Decision Sciences 9
- Artificial Intelligence 93
- Safety Research 20
Countries citing papers authored by Yuling Gu
This map shows the geographic impact of Yuling Gu'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 Yuling Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuling Gu more than expected).
Fields of papers citing papers by Yuling Gu
This network shows the impact of papers produced by Yuling Gu. 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 Yuling Gu. The network helps show where Yuling Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuling Gu, 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 | Can AI language models replace human participants? Hit paper breakdown → | 2023 | 177 |
| 2 | 2022 | 11 | |
| 3 | 2023 | 10 | |
| 4 | 2019 | 7 | |
| 5 | 2022 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 2016 | 1 | |
| 10 | 2020 | 1 | |
| 11 | 2021 | 0 | |
| 12 | 2024 | 0 |
About Yuling Gu
Yuling Gu is a scholar working on Artificial Intelligence, Surgery, Molecular Biology, Computer Vision and Pattern Recognition and Linguistics and Language, having authored 12 papers that have together received 215 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers), Multimodal Machine Learning Applications (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Coronary Interventions and Diagnostics (1 paper), Renal Diseases and Glomerulopathies (1 paper), Phonetics and Phonology Research (1 paper) and Folklore, Mythology, and Literature Studies (1 paper). The work is most often cited by research in Health Informatics (18 citations), General Social Sciences (30 citations), General Decision Sciences (9 citations), Artificial Intelligence (93 citations) and Safety Research (20 citations). Yuling Gu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Niket Tandon, Kurt Gray, Peter Clark, Bhavana Dalvi, Shumin Wang, Hao Liu, Linlin Fan, Ze Yu, Edward A. Fisher and Junbo Ge. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, BioMed Research International, Trends in Cognitive Sciences, Taiwanese Journal of Obstetrics and Gynecology and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
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.