Ren‐Cun Jin

2.8k citations
86 papers · 2.1k indexed · h-index 26
Topics
Wastewater Treatment and Nitrogen Removal (65 papers)Water Treatment and Disinfection (37 papers)Membrane Separation Technologies (26 papers)
Partner nations
ChinaHong KongAustralia

In The Last Decade

Ren‐Cun Jin

79 papers receiving 2.1k citations

Peers

Ren‐Cun Jin
Comparison fields: 5 of 80
  • Pollution 1.6k
  • Health, Toxicology and Mutagenesis 616
  • Water Science and Technology 508
  • Environmental Engineering 439
  • Industrial and Manufacturing Engineering 331
Replace Nian-Si Fan with:
Nian-Si Fan China
Maosheng Zheng China
Ran Yu China
Alejandro González‐Martínez Spain
Wei Xing China
Huiping Zeng China
Zhi-Jian Shi China
Yong‐Ze Lu China
Hyokwan Bae South Korea
Ren‐Cun Jin relative to Nian-Si Fan China Nian-Si Fan's profile →
Citations per field
00.5×1.5×1.8×
Nian-Si Fan · 1×
Citations per year

Countries citing papers authored by Ren‐Cun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ren‐Cun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ren‐Cun Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Ren‐Cun Jin. A scholar is included among the top collaborators of Ren‐Cun Jin 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 Ren‐Cun Jin. Ren‐Cun Jin 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 4
3 1
4 0
5 0
6 45
7 6
8 4
9 5
10 13
11 7
12 2
13 57
14 26
15 13
16 37
17 25
18 19
19 23
20
Biological process for fish-processing wastewater treatment.
3

About Ren‐Cun Jin

Ren‐Cun Jin is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Water Science and Technology, having authored 86 papers that have together received 2.1k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (65 papers), Water Treatment and Disinfection (37 papers) and Membrane Separation Technologies (26 papers). The work is most often cited by research in Pollution (1.6k citations), Health, Toxicology and Mutagenesis (616 citations) and Industrial and Manufacturing Engineering (331 citations). Ren‐Cun Jin has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Nian-Si Fan, Bao‐Cheng Huang, Dong-Qi Huang, Jin-Jin Fu, Zhi-Qi Ren, Wenjie Ma, Jiangtao Zhang, Ziyue Li, Yafei Cheng and Ping Zheng. Their work appears in journals such as Environmental Science & Technology, Renewable and Sustainable Energy Reviews and The Science of The Total Environment.

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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