Huihui Ren

3.2k citations
77 papers · 2.4k indexed · 1 hit paper · h-index 26

Impact in

Papers in

Huihui Ren

74 papers receiving 2.3k citations

Hit Papers

Clinical characteristics and outcomes of patients with severe covid-19 with diabetes 2020 · 408 citations
4082020202620222024100200300400

Peers

Huihui Ren
Comparison fields: 5 of 153
  • Infectious Diseases 513
  • Neurology 264
  • Polymers and Plastics 235
  • Electrical and Electronic Engineering 890
  • Cellular and Molecular Neuroscience 277
Replace Shaohua Huang with:
Shaohua Huang China
Xinyu Li China
Yanfeng Gao China
Linan Song United States
Mengmeng Zhao China
Xuemei Wang China
Yue Guan China
Yu-Wen Huang Taiwan
Kewal K. Jain Switzerland
Jingying Zhang China
Huihui Ren relative to Shaohua Huang China Shaohua Huang's profile →
Citations per field
00.5×3.7×
Shaohua Huang · 1×
Citations per year

Countries citing papers authored by Huihui Ren

Since Specialization
Citations

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

Fields of papers citing papers by Huihui Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20253
4 20245
5 202441
6 202341
7 202319
8 20234
9 202236
10 20224
11 202124
12 202170
13 202119
14 202117
15 202139
16 202118
17
Clinical characteristics and outcomes of patients with severe covid-19 with diabetes
Hit paper breakdown →
2020408
18 2020134
19 201828
20 201730

About Huihui Ren

Huihui Ren is a scholar working on Bioengineering, Polymers and Plastics, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 77 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (16 papers), Transition Metal Oxide Nanomaterials (8 papers), Advanced Sensor and Energy Harvesting Materials (8 papers), CCD and CMOS Imaging Sensors (7 papers), Thin-Film Transistor Technologies (6 papers), ZnO doping and properties (6 papers), Analytical Chemistry and Sensors (5 papers) and Gas Sensing Nanomaterials and Sensors (5 papers). The work is most often cited by research in Infectious Diseases (513 citations), Neurology (264 citations), Polymers and Plastics (235 citations), Electrical and Electronic Engineering (890 citations) and Cellular and Molecular Neuroscience (277 citations). Huihui Ren has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bowen Zhu, Dingwei Li, Xuefeng Yu, Kun Liang, Fen Wang, Yongli Yan, Xiaoli Shi, Shujun Zhang, Kun Dong and Yan Yang. Their work appears in journals such as ACS Nano, Advanced Functional Materials, IEEE Electron Device Letters, Nature Communications and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

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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