Yi Ren

4.2k citations
94 papers · 3.4k · 1 hit paper · h-index 29

Impact in

Papers in

Yi Ren

91 papers receiving 3.3k citations

Yi Ren's Hit Papers

Neuromorphic Engineering: From Biological to Spike‐Based Hardware Nervous Systems 2020 · 276 citations
2760+2+4Years since publication50100150200250

Peers

Yi Ren
Comparison fields: 5 of 95
  • Fluid Flow and Transfer Processes 535
  • Cellular and Molecular Neuroscience 849
  • Polymers and Plastics 646
  • Electrical and Electronic Engineering 2.2k
  • Materials Chemistry 910
Replace You Zhou with:
You Zhou United States
Yoshiaki Hattori Japan
Inho Kim South Korea
Kyungtae Kim South Korea
Yongzhe Zhang China
Xifeng Li China
Jong Min Kim South Korea
Hanlin Wang China
Chao Zhu China
Yi Ren relative to You Zhou United States You Zhou's profile →
Citations per field
00.5×7.6×
You Zhou · 1×
Citations per year

Countries citing papers authored by Yi Ren

Since Specialization
Citations

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

Fields of papers citing papers by Yi Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008303
2
Neuromorphic Engineering: From Biological to Spike‐Based Hardware Nervous Systems
Hit paper breakdown →
2020276
3 2019194
4 2018182
5 2020174
6 2005153
7 2019153
8 2018150
9 2018147
10 2020138
11 2018112
12 201897
13 201886
14 201872
15 201867
16 201863
17 200549
18 201343
19 201939
20 201838

About Yi Ren

Yi Ren is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Cellular and Molecular Neuroscience, Biomedical Engineering and Polymers and Plastics, having authored 94 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (27 papers), 2D Materials and Applications (17 papers), Photoreceptor and optogenetics research (13 papers), Perovskite Materials and Applications (10 papers), Conducting polymers and applications (9 papers), Neuroscience and Neural Engineering (9 papers), Graphene research and applications (8 papers) and Advanced Combustion Engine Technologies (8 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (535 citations), Cellular and Molecular Neuroscience (849 citations), Polymers and Plastics (646 citations), Electrical and Electronic Engineering (2.2k citations) and Materials Chemistry (910 citations). Yi Ren has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ye Zhou, Su‐Ting Han, Jingyu Mao, Jia‐Qin Yang, Li Zhou, Zuohua Huang, Deming Jiang, Bing Liu, Ke Zeng and Xiaoyang Yang. Their work appears in journals such as Advanced Functional Materials, Journal of Materials Chemistry C, Advanced Materials, Nano Energy and Energy & Fuels.

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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