Long Ouyang
Impact in
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- Language, Metaphor, and Cognition
- Multisensory perception and integration
- Categorization, perception, and language
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- Child and Animal Learning Development
Papers in
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- Natural Language Processing Techniques 1
- Bayesian Modeling and Causal Inference 1
- Surgery 2
- Pancreatitis Pathology and Treatment 1
- Co-authors
- Michael C. Frank (2 shared papers)Lera Boroditsky (2 shared papers)Michael Tessler (1 shared paper)Andrew D. Gordon (1 shared paper)Lin Zhou (2 shared papers)Claudio Russo (1 shared paper)Johannes Borgström (1 shared paper)Lei He (2 shared papers)
- Journals
- Cognitive Science (3 papers)Journal of Craniofacial Surgery (1 paper)Journal of Gastroenterology and Hepatology (1 paper)Apollo (University of Cambridge) (1 paper)PubMed (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Long Ouyang
6 papers receiving 21 citations
Peers
Comparison fields: 5 of 28
- Experimental and Cognitive Psychology 8
- Developmental and Educational Psychology 5
- Cultural Studies 3
- Cognitive Neuroscience 6
- Artificial Intelligence 9
Countries citing papers authored by Long Ouyang
This map shows the geographic impact of Long Ouyang'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 Long Ouyang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Ouyang more than expected).
Fields of papers citing papers by Long Ouyang
This network shows the impact of papers produced by Long Ouyang. 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 Long Ouyang. The network helps show where Long Ouyang may publish in the future.
Co-authors
The 19 scholars most cited alongside Long Ouyang, 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 | 2016 | 10 | |
| 2 | 2016 | 5 | |
| 3 | Effect of Vitamin D on Urinary Albumin Excretion in Diabetic Nephropathy Patients: A Meta-analysis of Randomized Controlled Trials. | 2022 | 3 |
| 4 | webppl-oed: A practical optimal experiment design system. | 2018 | 2 |
| 5 | Semantic Coherence Facilitates Distributional Learning of Word Meanings | 2012 | 2 |
| 6 | 2022 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2022 | 0 |
About Long Ouyang
Long Ouyang is a scholar working on Artificial Intelligence, Surgery, Developmental and Educational Psychology, Nephrology and Pathology and Forensic Medicine, having authored 8 papers that have together received 24 indexed citations. Recurring topics across this work include Language Development and Disorders (2 papers), Pharmacological Effects and Toxicity Studies (1 paper), Natural Language Processing Techniques (1 paper), Time Series Analysis and Forecasting (1 paper), Bayesian Modeling and Causal Inference (1 paper), Pancreatitis Pathology and Treatment (1 paper), Reading and Literacy Development (1 paper) and Craniofacial Disorders and Treatments (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (8 citations), Developmental and Educational Psychology (5 citations), Cultural Studies (3 citations), Cognitive Neuroscience (6 citations) and Artificial Intelligence (9 citations). Long Ouyang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Michael C. Frank, Lera Boroditsky, Michael Tessler, Andrew D. Gordon, Lin Zhou, Claudio Russo, Johannes Borgström, Lei He, Noah D. Goodman and Ying Chen. Their work appears in journals such as Cognitive Science, Journal of Craniofacial Surgery, Journal of Gastroenterology and Hepatology, Apollo (University of Cambridge) and PubMed.
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.