Shuxia Ren

572 citations
42 papers · 457 indexed · h-index 13
Topics
Advanced Memory and Neural Computing (18 papers)Transition Metal Oxide Nanomaterials (12 papers)Electronic and Structural Properties of Oxides (9 papers)

In The Last Decade

Shuxia Ren

38 papers receiving 433 citations

Peers

Shuxia Ren
Comparison fields: 5 of 61
  • Electrical and Electronic Engineering 342
  • Materials Chemistry 196
  • Polymers and Plastics 148
  • Cellular and Molecular Neuroscience 55
  • Electronic, Optical and Magnetic Materials 49
Replace Seong Hun Kim with:
Seong Hun Kim South Korea
Haixia Gao China
Chih‐Chung Lai Taiwan
Jayanta Bera India
Syed Zahid Hassan South Korea
A N M Nafiul Islam United States
Sheng Tang China
Atanu Betal India
Qi Lin China
Shuxia Ren relative to Seong Hun Kim South Korea Seong Hun Kim's profile →
Citations per field
00.5×6.2×
Seong Hun Kim · 1×
Citations per year

Countries citing papers authored by Shuxia Ren

Since Specialization
Citations

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

Fields of papers citing papers by Shuxia Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuxia Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Shuxia Ren. A scholar is included among the top collaborators of Shuxia Ren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shuxia Ren. Shuxia Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 23
3 19
4 57
5 10
6 20
7 11
8 8
9 30
10 21
11 4
12 12
13 5
14 9
15 4
16 6
17
Empirical test of customer psychological perception on relationship benefits with customer participation
1
18 4
19 27
20 11

About Shuxia Ren

Shuxia Ren is a scholar working on Polymers and Plastics, Materials Chemistry and Electrical and Electronic Engineering, having authored 42 papers that have together received 457 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (18 papers), Transition Metal Oxide Nanomaterials (12 papers) and Electronic and Structural Properties of Oxides (9 papers). The work is most often cited by research in Polymers and Plastics (148 citations), Electrical and Electronic Engineering (342 citations) and Materials Chemistry (196 citations). Shuxia Ren has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jiajun Guo, Jinjin Zhao, Wei Chen, Xu Zhao, Xiaomin Liu, Huifang Yang, Zhenhua Li, Shenghui Yi, Ling-Zhi Tang and Xin Kang. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics and Advanced Functional Materials.

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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