Kun Fu

2.0k citations
61 papers · 1.7k · h-index 25

Impact in

Papers in

Kun Fu

61 papers receiving 1.7k citations

Peers

Kun Fu
Comparison fields: 5 of 107
  • Water Science and Technology 672
  • Industrial and Manufacturing Engineering 181
  • Renewable Energy, Sustainability and the Environment 292
  • Biomaterials 147
  • Biomedical Engineering 374
Replace Yujiang Li with:
Yujiang Li China
Shunlong Pan China
Yue Qiu China
Tingsheng Qiu China
Wei Mao China
Fuxing Gan China
Dong Wan China
Vittorio Boffa Italy
Haoyang Fu China
Kun Fu relative to Yujiang Li China Yujiang Li's profile →
Citations per field
00.5×1.5×1.8×
Yujiang Li · 1×
Citations per year

Countries citing papers authored by Kun Fu

Since Specialization
Citations

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

Fields of papers citing papers by Kun Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016148
2 201796
3 201988
4 201786
5 201684
6 201977
7 202176
8 202166
9 202058
10 202157
11 201856
12 200854
13 200644
14 202143
15 202036
16 202136
17 201935
18 201832
19 202330
20 202129

About Kun Fu

Kun Fu is a scholar working on Materials Chemistry, Water Science and Technology, Mechanical Engineering, Biomedical Engineering and Renewable Energy, Sustainability and the Environment, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (11 papers), Carbon Dioxide Capture Technologies (10 papers), Coagulation and Flocculation Studies (8 papers), Phase Equilibria and Thermodynamics (7 papers), Advanced oxidation water treatment (7 papers), Graphite, nuclear technology, radiation studies (6 papers), Membrane Separation and Gas Transport (6 papers) and Nuclear and radioactivity studies (5 papers). The work is most often cited by research in Water Science and Technology (672 citations), Industrial and Manufacturing Engineering (181 citations), Renewable Energy, Sustainability and the Environment (292 citations), Biomaterials (147 citations) and Biomedical Engineering (374 citations). Kun Fu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jiangya Ma, Xue Fu, Jun Shi, Huiping Deng, Yishuai Pan, Zhiqiang Su, Jun Shi, Lei Ding, Huiwen Zhang and Dong Fu. Their work appears in journals such as Separation and Purification Technology, Energy, The Journal of Chemical Thermodynamics, Chemical Engineering Journal and RSC Advances.

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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