Baikun Li

7.6k citations
134 papers · 6.0k indexed · 1 hit paper · h-index 48

Impact in

Papers in

Baikun Li

128 papers receiving 5.9k citations

Hit Papers

Machine Learning: New Ideas and Tools in Environmental Science and Engineering 2021 · 725 citations
7252021202620222024200400600

Peers

Baikun Li
Comparison fields: 5 of 161
  • Environmental Engineering 3.2k
  • Electrochemistry 724
  • Electronic, Optical and Magnetic Materials 1.4k
  • Bioengineering 408
  • Pollution 792
Replace Panpan Liu with:
Panpan Liu China
Jia Liu China
Stefano Freguia Australia
Hong Liu China
Kyu‐Jung Chae South Korea
Hong Liu China
Kang Xiao China
Yang Mu China
Jie Ding China
Dan Chen China
Baikun Li relative to Panpan Liu China Panpan Liu's profile →
Citations per field
00.5×4.0×
Panpan Liu · 1×
Citations per year

Countries citing papers authored by Baikun Li

Since Specialization
Citations

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

Fields of papers citing papers by Baikun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20235
4 202315
5 202251
6 202236
7 202117
8 202063
9 202018
10 201917
11 20199
12 20194
13 20192
14 20198
15 201943
16 201740
17 201564
18 201545
19 2014167
20 20138

About Baikun Li

Baikun Li is a scholar working on Environmental Engineering, Bioengineering, Electrochemistry, Electronic, Optical and Magnetic Materials and Pollution, having authored 134 papers that have together received 6.0k indexed citations. Recurring topics across this work include Microbial Fuel Cells and Bioremediation (65 papers), Electrochemical sensors and biosensors (60 papers), Supercapacitor Materials and Fabrication (31 papers), Analytical Chemistry and Sensors (16 papers), Electrochemical Analysis and Applications (15 papers), Wastewater Treatment and Nitrogen Removal (14 papers), Water Quality Monitoring Technologies (9 papers) and Anaerobic Digestion and Biogas Production (7 papers). The work is most often cited by research in Environmental Engineering (3.2k citations), Electrochemistry (724 citations), Electronic, Optical and Magnetic Materials (1.4k citations), Bioengineering (408 citations) and Pollution (792 citations). Baikun Li has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Yu Lei, Yogesh Sharma, Carlo Santoro, Daqian Jiang, Pierangela Cristiani, Jeffrey R. McCutcheon, Zhiheng Xu, Bing Liu, Boxun Hu and Udayarka Karra. Their work appears in journals such as International Journal of Hydrogen Energy, Environmental Science & Technology, Journal of Power Sources, Bioresource Technology and Biosensors and Bioelectronics.

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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