Shu Li
Impact in
- General Decision Sciences top 0.2%
- Decision-Making and Behavioral Economics
Papers in
-
- Decision-Making and Behavioral Economics 94
- Co-authors
- Ulman LindenbergerLars BäckmanSverker SikströmHauke R. HeekerenLars NybergViktor MüllerFlorian SchmiedekYee Lee Shing
- Journals
- Value in Health (22 papers)Scientific Reports (17 papers)PLoS ONE (13 papers)Neuroscience & Biobehavioral Reviews (11 papers)Neuropsychologia (11 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Shu Li
508 papers receiving 16.2k citations
Hit Papers
Peers
Comparison fields: 5 of 221
- General Decision Sciences 1.1k
- Neuropsychology and Physiological Psychology 638
- Cognitive Neuroscience 7.7k
- Experimental and Cognitive Psychology 2.8k
- Applied Psychology 569
Countries citing papers authored by Shu Li
This map shows the geographic impact of Shu Li'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 Shu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Li more than expected).
Fields of papers citing papers by Shu Li
This network shows the impact of papers produced by Shu Li. 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 Shu Li. The network helps show where Shu Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Shu Li, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 19 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 7 | |
| 13 | 2019 | 6 | |
| 14 | 2019 | 10 | |
| 15 | 2017 | 11 | |
| 16 | 2011 | 66 | |
| 17 | 2010 | 14 | |
| 18 | 2009 | 216 | |
| 19 | 2003 | 1 | |
| 20 | Inhibition of rat lens aldose reductase by quercetagetin and patuletin. | 1991 | 7 |
About Shu Li
Shu Li is a scholar working on General Decision Sciences, Neuropsychology and Physiological Psychology, Cognitive Neuroscience, Applied Psychology and Experimental and Cognitive Psychology, having authored 528 papers that have together received 16.7k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (97 papers), Decision-Making and Behavioral Economics (94 papers), Neural dynamics and brain function (35 papers), Functional Brain Connectivity Studies (34 papers), Memory and Neural Mechanisms (33 papers), Economic and Environmental Valuation (27 papers), Behavioral Health and Interventions (23 papers) and Visual perception and processing mechanisms (20 papers). The work is most often cited by research in General Decision Sciences (1.1k citations), Neuropsychology and Physiological Psychology (638 citations), Cognitive Neuroscience (7.7k citations), Experimental and Cognitive Psychology (2.8k citations) and Applied Psychology (569 citations). Shu Li has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Ulman Lindenberger, Lars Bäckman, Sverker Sikström, Hauke R. Heekeren, Lars Nyberg, Viktor Müller, Florian Schmiedek, Yee Lee Shing, Oliver Huxhold and Bernhard Hommel. Their work appears in journals such as Value in Health, Scientific Reports, PLoS ONE, Neuroscience & Biobehavioral Reviews and Neuropsychologia.
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.