He Fu

34 papers receiving 1.9k citations

Hit Papers

Directly converting Fe-doped metal–organic frameworks into highly active and stable Fe-N-C catalysts for oxygen reduction in acid 2016 · 447 citations
4470+3+6Years since publication100200300400

Peers

He Fu
Comparison fields: 5 of 61
  • Renewable Energy, Sustainability and the Environment 844
  • Energy Engineering and Power Technology 129
  • Biomaterials 478
  • Catalysis 201
  • Inorganic Chemistry 241
Replace Gopinathan M. Anilkumar with:
Gopinathan M. Anilkumar Japan
Wanqiang Liu China
Jingjing Liu China
Xin Xia China
Yahui Sun China
Tonghui Zhao China
Chris J. Cornelius United States
Xin Ge China
Huihu Wang China
He Fu relative to Gopinathan M. Anilkumar Japan Gopinathan M. Anilkumar's profile →
Citations per field
00.5×5.7×
Gopinathan M. Anilkumar · 1×
Citations per year

Countries citing papers authored by He Fu

Since Specialization
Citations

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

Fields of papers citing papers by He Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Directly converting Fe-doped metal–organic frameworks into highly active and stable Fe-N-C catalysts for oxygen reduction in acid
Hit paper breakdown →
2016447
2 2014417
3 2015288
4 2015128
5 201494
6 201676
7 201674
8 201343
9 202238
10 201229
11 201128
12 201324
13 201424
14 201617
15 201315
16 202114
17 202214
18 201614
19 201613
20 201712

About He Fu

He Fu is a scholar working on Materials Chemistry, Catalysis, Mechanical Engineering, Biomaterials and Electrical and Electronic Engineering, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hydrogen Storage and Materials (14 papers), Ammonia Synthesis and Nitrogen Reduction (11 papers), Magnesium Alloys: Properties and Applications (7 papers), Hybrid Renewable Energy Systems (6 papers), Fuel Cells and Related Materials (5 papers), Electrocatalysts for Energy Conversion (5 papers), Aluminum Alloys Composites Properties (4 papers) and Advanced battery technologies research (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (844 citations), Energy Engineering and Power Technology (129 citations), Biomaterials (478 citations), Catalysis (201 citations) and Inorganic Chemistry (241 citations). He Fu has collaborated with scholars based in China, Mexico and United States. Frequent co-authors include Jie Zheng, Xingguo Li, Gongbiao Xin, Xinxin Fan, Xiaojuan Wang, Wei Li, Yuping Ren, Hucheng Pan, Gaowu Qin and Junwen Zhou. Their work appears in journals such as RSC Advances, International Journal of Hydrogen Energy, Nano Energy, Physical Chemistry Chemical Physics and Journal of Alloys and Compounds.

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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