Kun Ren

21 papers receiving 270 citations

Peers

Kun Ren
Comparison fields: 5 of 48
  • Geochemistry and Petrology 145
  • Earth-Surface Processes 70
  • Environmental Chemistry 89
  • Water Science and Technology 83
  • Environmental Engineering 64
Replace Jamal El Khattabi with:
Jamal El Khattabi France
Xiangyang Liang China
Qingyu Xu China
Sadegh Partani Iran
Bedri Kurtuluş Türkiye
Qiguo Sun China
Myeong‐Jae Yi South Korea
N. R. G. Walton United Kingdom
Aihua Wei China
Kun Ren relative to Jamal El Khattabi France Jamal El Khattabi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kun Ren

Since Specialization
Citations

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

Fields of papers citing papers by Kun Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kun 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 Kun Ren Line = papers co-authored together Kun 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 202174
2 202064
3 202331
4 201914
5 201711
6 201811
7 202310
8 200410
9 20239
10 20247
11 20187
12 20045
13
[Investigation of nitrogen, phosphorus and microbial contamination in Laolongdong underground river system of Chongqing].
20144
14 20154
15 20243
16
[Distribution and Transportation Characteristics of Heavy Metals in Nanshan Laolongdong Subterranean River System and Its Capacity of Self-Purification in Chongqing].
20153
17
Sulfate Concentrations and Source Identification in Different Water Bodies of the Chadianqiao Underground River Basin in Central Guizhou
20163
18 20242
19 20192
20 20132

About Kun Ren

Kun Ren is a scholar working on Earth-Surface Processes, Geochemistry and Petrology, Water Science and Technology, Ecology and Civil and Structural Engineering, having authored 24 papers that have together received 278 indexed citations. Recurring topics across this work include Karst Systems and Hydrogeology (8 papers), Groundwater and Isotope Geochemistry (7 papers), Water Quality and Pollution Assessment (3 papers), Marine and coastal ecosystems (2 papers), Environmental Quality and Pollution (2 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (2 papers), Advanced SAR Imaging Techniques (2 papers) and Plant-Microbe Interactions and Immunity (1 paper). The work is most often cited by research in Geochemistry and Petrology (145 citations), Earth-Surface Processes (70 citations), Environmental Chemistry (89 citations), Water Science and Technology (83 citations) and Environmental Engineering (64 citations). Kun Ren has collaborated with scholars based in China. Frequent co-authors include Xiaodong Pan, Jie Zeng, Cong Peng, Daoxian Yuan, V. Prinet, Xiangdong Zhang, Jianyao Chen, Feng Wang, Zuobing Liang and Pengcheng Zhang. Their work appears in journals such as Environmental Science and Pollution Research, Journal of Radioanalytical and Nuclear Chemistry, IEEE Access, Journal of Environmental Management and Environmental Pollution.

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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