Na Chu

31 papers receiving 880 citations

Peers

Na Chu
Comparison fields: 5 of 58
  • Environmental Engineering 620
  • Renewable Energy, Sustainability and the Environment 318
  • Electrochemistry 90
  • Process Chemistry and Technology 34
  • Catalysis 80
Replace Qinjun Liang with:
Qinjun Liang China
Laura Rago Spain
Yolanda Álvarez‐Gallego Belgium
Dandan Liu Netherlands
Lifang Deng China
Ala’a Ragab Saudi Arabia
László Koók Hungary
Edward V. LaBelle United States
Igor Vassilev Finland
Swee Su Lim Malaysia
Na Chu relative to Qinjun Liang China Qinjun Liang's profile →
Citations per field
00.5×3.6×
Qinjun Liang · 1×
Citations per year

Countries citing papers authored by Na Chu

Since Specialization
Citations

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

Fields of papers citing papers by Na Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020103
2 201993
3 201971
4 201969
5 202054
6 202154
7 201950
8 202343
9 201939
10 202437
11 202132
12 202029
13 202127
14 202126
15 202325
16 202121
17 202417
18 202217
19 202415
20 20249

About Na Chu

Na Chu is a scholar working on Environmental Engineering, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Catalysis and Biomedical Engineering, having authored 32 papers that have together received 886 indexed citations. Recurring topics across this work include Microbial Fuel Cells and Bioremediation (22 papers), CO2 Reduction Techniques and Catalysts (18 papers), Electrochemical sensors and biosensors (6 papers), Advanced battery technologies research (5 papers), Supercapacitor Materials and Fabrication (5 papers), Ionic liquids properties and applications (4 papers), Electrochemical Analysis and Applications (4 papers) and Membrane-based Ion Separation Techniques (3 papers). The work is most often cited by research in Environmental Engineering (620 citations), Renewable Energy, Sustainability and the Environment (318 citations), Electrochemistry (90 citations), Process Chemistry and Technology (34 citations) and Catalysis (80 citations). Na Chu has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Raymond Jianxiong Zeng, Yong Jiang, Qinjun Liang, Hao Wen, Peng Liang, Lixia Zhang, Ding-Kang Qian, Donglin Wang, Wei Zhang and Yu Gao. Their work appears in journals such as Bioresource Technology, Environmental Science & Technology, The Science of The Total Environment, Engineering and Chemical Engineering Journal.

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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