Baodan Jin

800 citations
43 papers · 608 · h-index 15

Impact in

Papers in

Baodan Jin

41 papers receiving 605 citations

Peers

Baodan Jin
Comparison fields: 5 of 66
  • Pollution 363
  • Industrial and Manufacturing Engineering 122
  • Building and Construction 172
  • Water Science and Technology 138
  • Environmental Engineering 98
Replace Qian Zeng with:
Qian Zeng China
Yuxiang Lu China
Christian Baresel Sweden
Gaige Liu China
Han-ying Qi China
Julian D. Muñoz Sierra Netherlands
N. Schwarzenbeck Germany
Yongzhi Chi China
Kok Kwang Ng Singapore
Kaixin Zheng China
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Citations per field
00.5×10×14×
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Citations per year

Countries citing papers authored by Baodan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Baodan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201594
2 201857
3 202138
4 202333
5 201532
6 202231
7 202026
8 202425
9 201424
10 202123
11 202022
12 202019
13 201918
14 202416
15 202114
16 202312
17 202212
18 202312
19 202111
20 202410

About Baodan Jin

Baodan Jin is a scholar working on Pollution, Industrial and Manufacturing Engineering, Building and Construction, Environmental Engineering and Ecology, having authored 43 papers that have together received 608 indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (26 papers), Anaerobic Digestion and Biogas Production (12 papers), Constructed Wetlands for Wastewater Treatment (9 papers), Microbial Fuel Cells and Bioremediation (8 papers), Microbial bioremediation and biosurfactants (5 papers), Microbial Community Ecology and Physiology (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Microplastics and Plastic Pollution (4 papers). The work is most often cited by research in Pollution (363 citations), Industrial and Manufacturing Engineering (122 citations), Building and Construction (172 citations), Water Science and Technology (138 citations) and Environmental Engineering (98 citations). Baodan Jin has collaborated with scholars based in China, United States and Greece. Frequent co-authors include Shuying Wang, Baikun Li, Yongzhen Peng, Jianguo Zhao, Yu Li, Liu Ye, Jiantao Ji, Lan Wang, Zhongfang Zhang and Jingwen Dai. Their work appears in journals such as Bioresource Technology, Chemosphere, Chemical Engineering Journal, CLEAN - Soil Air Water and Process Safety and Environmental Protection.

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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