Sen Cheng
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
- Cognitive Neuroscience top 2%
- Memory and Neural Mechanisms
- Neural dynamics and brain function
- Motor Control and Adaptation
- Sleep and Wakefulness Research
Papers in
-
- Memory and Neural Mechanisms 42
- Neural dynamics and brain function 21
- Memory Processes and Influences 9
- Sleep and Wakefulness Research 6
-
- Neuroscience and Neuropharmacology Research 27
- Co-authors
- L. J. WeiZ. YingPhilip N. SabesLoren M. FrankYing Qing ChenMarkus WerningJason P. FineLaurenz Wiskott
- Journals
- PLoS ONE (6 papers)Neural Computation (4 papers)Neuroscience & Biobehavioral Reviews (3 papers)Journal of Cognitive Neuroscience (3 papers)Biometrika (3 papers)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Sen Cheng
92 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 160
- Statistics and Probability 704
- Cognitive Neuroscience 1.1k
- Cellular and Molecular Neuroscience 531
- Neurology 136
- Developmental Biology 35
Countries citing papers authored by Sen Cheng
This map shows the geographic impact of Sen Cheng'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 Sen Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Cheng more than expected).
Fields of papers citing papers by Sen Cheng
This network shows the impact of papers produced by Sen Cheng. 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 Sen Cheng. The network helps show where Sen Cheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sen Cheng, 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 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2020 | 18 | |
| 15 | 2019 | 4 | |
| 16 | 2018 | 8 | |
| 17 | 2016 | 20 | |
| 18 | 2011 | 49 | |
| 19 | 2010 | 34 | |
| 20 | 2007 | 68 |
About Sen Cheng
Sen Cheng is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistics and Probability, Developmental Biology and Developmental Neuroscience, having authored 96 papers that have together received 2.5k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (42 papers), Neuroscience and Neuropharmacology Research (27 papers), Neural dynamics and brain function (21 papers), Statistical Methods and Inference (10 papers), Memory Processes and Influences (9 papers), Statistical Methods and Bayesian Inference (6 papers), Sleep and Wakefulness Research (6 papers) and High-Energy Particle Collisions Research (5 papers). The work is most often cited by research in Statistics and Probability (704 citations), Cognitive Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (531 citations), Neurology (136 citations) and Developmental Biology (35 citations). Sen Cheng has collaborated with scholars based in Germany, United States and China. Frequent co-authors include L. J. Wei, Z. Ying, Philip N. Sabes, Loren M. Frank, Ying Qing Chen, Markus Werning, Jason P. Fine, Laurenz Wiskott, Laure Buhry and Max Wintermark. Their work appears in journals such as PLoS ONE, Neural Computation, Neuroscience & Biobehavioral Reviews, Journal of Cognitive Neuroscience and Biometrika.
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.