Jun Ren

686 citations
36 papers · 516 indexed · h-index 10
Topics
Advanced Sensor and Energy Harvesting Materials (7 papers)Photonic and Optical Devices (6 papers)Terahertz technology and applications (4 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Jun Ren

33 papers receiving 505 citations

Peers

Jun Ren
Comparison fields: 5 of 108
  • Biomedical Engineering 158
  • Health, Toxicology and Mutagenesis 128
  • Electrical and Electronic Engineering 89
  • Electronic, Optical and Magnetic Materials 81
  • Mechanical Engineering 50
Replace Dingyu Liu with:
Dingyu Liu China
Tongling Xia China
Mengyan Gong China
Jin-Seok Park South Korea
Chang Wang China
Xinyi Luo China
Gholamreza Moradi Iran
Yilun Gao China
Diana Hun United States
Chong Gao China
Jun Ren relative to Dingyu Liu China Dingyu Liu's profile →
Citations per field
00.5×3.7×
Dingyu Liu · 1×
Citations per year

Countries citing papers authored by Jun Ren

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Ren. A scholar is included among the top collaborators of Jun 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 Jun Ren. Jun 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 2
2 3
3 5
4 5
5 3
6 3
7 61
8 4
9 9
10 4
11 21
12 6
13 2
14 19
15
[A comprehensive evaluation of intervention effects on workplace health promotion in a pharmaceutical company].
2
16
Construction of Business Analytics System for Smart Grid Dispatching by Employment of Data Mining and Integrated Information Platform
1
17
Research on Low-Carbon City Evaluation with ANP
2
18
[Phase III clinical study of zoledronic acid in the treatment of pain induced by bone metastasis from solid tumor or multiple myeloma].
4
19 2
20 1

About Jun Ren

Jun Ren is a scholar working on Computer Science Applications, Health, Toxicology and Mutagenesis and Occupational Therapy, having authored 36 papers that have together received 516 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (7 papers), Photonic and Optical Devices (6 papers) and Terahertz technology and applications (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (128 citations), Electronic, Optical and Magnetic Materials (81 citations) and Biomedical Engineering (158 citations). Jun Ren has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qingkun Song, David C. Christiani, Yu Liu, Jing Jiang, Zhenyu Wang, Kaixue Ma, Lei Liu, Patrick Fay, Wei Xu and Dandan Huang. Their work appears in journals such as Advanced Functional Materials, Optics Letters and Optics Express.

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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