Chi Ren

1.2k citations
24 papers · 755 · h-index 13

Impact in

    • Neuroscience and Neural Engineering
    • Photoreceptor and optogenetics research
    • Neuroscience and Neuropharmacology Research
    • Neural dynamics and brain function
    • EEG and Brain-Computer Interfaces
    • Functional Brain Connectivity Studies

Papers in

    • Neuroscience and Neural Engineering 11
    • Photoreceptor and optogenetics research 5
    • Neurobiology and Insect Physiology Research 3
    • Neuroscience and Neuropharmacology Research 3
    • Neural dynamics and brain function 10
    • EEG and Brain-Computer Interfaces 4

Chi Ren

24 papers receiving 743 citations

Peers

Chi Ren
Comparison fields: 5 of 73
  • Cellular and Molecular Neuroscience 409
  • Cognitive Neuroscience 342
  • Biophysics 35
  • Endocrine and Autonomic Systems 27
  • Nutrition and Dietetics 55
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Chi Ren relative to Ali Reza Mohebi United States Ali Reza Mohebi's profile →
Citations per field
00.5×2×4×6×8×9.3×
Ali Reza Mohebi · 1×
Citations per year

Countries citing papers authored by Chi Ren

Since Specialization
Citations

This map shows the geographic impact of Chi Ren'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 Chi Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Ren more than expected).

Fields of papers citing papers by Chi Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi Ren. 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 Chi Ren. The network helps show where Chi Ren may publish in the future.

Co-authors

The 25 scholars most cited alongside Chi Ren, 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 Chi Ren Line = papers co-authored together Chi Ren links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017177
2 2014123
3 201872
4 202154
5 200653
6 202447
7 202144
8 202243
9 201633
10 202319
11 202118
12 202418
13 202017
14 20217
15 20176
16 20256
17 20184
18 20194
19 20243
20 20232

About Chi Ren

Chi Ren is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Animal Science and Zoology, Cell Biology and Sensory Systems, having authored 24 papers that have together received 755 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (11 papers), Neural dynamics and brain function (10 papers), Photoreceptor and optogenetics research (5 papers), Meat and Animal Product Quality (4 papers), EEG and Brain-Computer Interfaces (4 papers), Neurobiology and Insect Physiology Research (3 papers), Advanced Memory and Neural Computing (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (409 citations), Cognitive Neuroscience (342 citations), Biophysics (35 citations), Endocrine and Autonomic Systems (27 citations) and Nutrition and Dietetics (55 citations). Chi Ren has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Takaki Komiyama, Duygu Kuzum, Xin Liu, Haixin Liu, An Na Kim, Hiroshi Makino, Yichen Lu, Ryoma Hattori, Xiaojie Huang and Yu Jia. Their work appears in journals such as Neuron, Journal of Neuroscience, Molecular Brain, Food Chemistry and Journal of Neural 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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