Jun‐Feng Qin

2.1k citations
35 papers · 1.9k · h-index 23

Impact in

Papers in

Jun‐Feng Qin

34 papers receiving 1.9k citations

Peers

Jun‐Feng Qin
Comparison fields: 5 of 44
  • Renewable Energy, Sustainability and the Environment 1.7k
  • Electrochemistry 340
  • Electrical and Electronic Engineering 1.4k
  • Catalysis 78
  • Materials Chemistry 448
Replace F.J. Rodríguez‐Varela with:
F.J. Rodríguez‐Varela Mexico
Yunchao Yin China
Jinming Zeng China
Liwen Xing China
S. Arrii-Clacens France
Júlio César M. Silva Brazil
Taozhu Li China
Viruthasalam Maruthapandian India
Yuhao Zhang China
Kui Yin China
Jun‐Feng Qin relative to F.J. Rodríguez‐Varela Mexico F.J. Rodríguez‐Varela's profile →
Citations per field
00.5×
F.J. Rodríguez‐Varela · 1×
Citations per year

Countries citing papers authored by Jun‐Feng Qin

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Feng Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Feng Qin. 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 Jun‐Feng Qin. The network helps show where Jun‐Feng Qin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017235
2 2018172
3 2019152
4 2018129
5 2019103
6 201897
7 201990
8 202089
9 201788
10 201985
11 201984
12 201981
13 201961
14 201857
15 201753
16 201850
17 201845
18 201843
19 201438
20 201431

About Jun‐Feng Qin

Jun‐Feng Qin is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Materials Chemistry, Electrochemistry and Civil and Structural Engineering, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (30 papers), Advanced battery technologies research (25 papers), Fuel Cells and Related Materials (10 papers), Electrochemical Analysis and Applications (8 papers), Advanced Photocatalysis Techniques (7 papers), Concrete and Cement Materials Research (3 papers), Magnesium Oxide Properties and Applications (2 papers) and Catalytic Processes in Materials Science (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (1.7k citations), Electrochemistry (340 citations), Electrical and Electronic Engineering (1.4k citations), Catalysis (78 citations) and Materials Chemistry (448 citations). Jun‐Feng Qin has collaborated with scholars based in China and Romania. Frequent co-authors include Bin Dong, Yong‐Ming Chai, Jiahui Lin, Chenguang Liu, Zi-Zhang Liu, Jingqi Chi, Kai‐Li Yan, Wen‐Kun Gao, Jingyi Xie and Tianshu Chen. Their work appears in journals such as International Journal of Hydrogen Energy, Journal of Colloid and Interface Science, ACS Applied Materials & Interfaces, Journal of Alloys and Compounds and Applied Surface Science.

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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