Sen Cheng

4.1k citations
107 papers · 2.8k · h-index 27

Impact in

    • Statistical Methods and Inference
    • Statistical Methods and Bayesian Inference
    • Statistical Distribution Estimation and Applications
    • Memory and Neural Mechanisms
    • Neural dynamics and brain function
    • Motor Control and Adaptation
    • Sleep and Wakefulness Research

Papers in

Sen Cheng

99 papers receiving 2.7k citations

Peers

Sen Cheng
Comparison fields: 5 of 161
  • Statistics and Probability 735
  • Cognitive Neuroscience 1.2k
  • Cellular and Molecular Neuroscience 552
  • Developmental Biology 38
  • Neurology 135
Replace Ferath Kherif with:
Ferath Kherif Switzerland
Michell Valdés Sosa Cuba
Laure Zago France
Jason D. Yeatman United States
Li Su United Kingdom
Luis Concha Mexico
Rokem Ariel United States
Wael F. Asaad United States
Mélanie Pélégrini‐Issac France
Boris A. Gutman United States
Sen Cheng relative to Ferath Kherif Switzerland Ferath Kherif's profile →
Citations per field
00.5×2×4×6.2×
Ferath Kherif · 1×
Citations per year

Countries citing papers authored by Sen Cheng

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Sen Cheng Line = papers co-authored together Sen Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995346
2 2008202
3 2010137
4 1998125
5 2006107
6 200698
7 199793
8 201188
9 201587
10 201371
11 201869
12 200769
13 201468
14 200560
15 200556
16 201155
17 201353
18 199951
19 200648
20 201147

About Sen Cheng

Sen Cheng is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistics and Probability, Sensory Systems and Computer Networks and Communications, having authored 107 papers that have together received 2.8k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (48 papers), Neuroscience and Neuropharmacology Research (27 papers), Neural dynamics and brain function (21 papers), Memory Processes and Influences (13 papers), Statistical Methods and Inference (10 papers), Sleep and Wakefulness Research (7 papers), Statistical Methods and Bayesian Inference (6 papers) and Robotic Path Planning Algorithms (5 papers). The work is most often cited by research in Statistics and Probability (735 citations), Cognitive Neuroscience (1.2k citations), Cellular and Molecular Neuroscience (552 citations), Developmental Biology (38 citations) and Neurology (135 citations). Sen Cheng has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Lee Jen Wei, Z. Charles Ying, Philip N. Sabes, Loren M. Frank, Markus Werning, Ying Qing Chen, Jason P. Fine, Laurenz Wiskott, Laure Buhry and Thomas Suddendorf. Their work appears in journals such as PLoS ONE, Physical Review C, Neural Computation, Biometrika and Ocean Engineering.

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.

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