Chun‐Chong Fu

14 papers receiving 733 citations

Peers

Chun‐Chong Fu
Comparison fields: 5 of 61
  • Renewable Energy, Sustainability and the Environment 465
  • Environmental Chemistry 99
  • Environmental Engineering 113
  • Industrial and Manufacturing Engineering 44
  • Aquatic Science 30
Replace Qiaoning He with:
Qiaoning He China
Phang Siew Moi Malaysia
Asemgul K. Sadvakasova Kazakhstan
Sourish Bhattacharya India
Chul Woong Kim South Korea
André Bellin Mariano Brazil
Luís A. Meireles Portugal
Marie Demuez Spain
Javier Gimpel United States
Simone Barera Italy
Chun‐Chong Fu relative to Qiaoning He China Qiaoning He's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chun‐Chong Fu

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Chong Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Chun‐Chong 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 Chun‐Chong Fu Line = papers co-authored together Chun‐Chong Fu links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2007273
2 2010147
3 201058
4 200749
5 200948
6 200748
7 201140
8 201134
9 200330
10 201013
11 199412
12 19969
13 20104
14 20053

About Chun‐Chong Fu

Chun‐Chong Fu is a scholar working on Biomedical Engineering, Molecular Biology, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 14 papers that have together received 768 indexed citations. Recurring topics across this work include Algal biology and biofuel production (4 papers), Electrochemical sensors and biosensors (2 papers), Quantum chaos and dynamical systems (2 papers), Biodiesel Production and Applications (2 papers), Marine and coastal ecosystems (2 papers), Microbial Fuel Cells and Bioremediation (2 papers), Nonlinear Dynamics and Pattern Formation (2 papers) and Process Optimization and Integration (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (465 citations), Environmental Chemistry (99 citations), Environmental Engineering (113 citations), Industrial and Manufacturing Engineering (44 citations) and Aquatic Science (30 citations). Chun‐Chong Fu has collaborated with scholars based in Taiwan, United States and New Zealand. Frequent co-authors include Yung‐Chuan Liu, Chih-Yu Wang, Wen‐Teng Wu, Chia‐Hung Su, Tien‐Chieh Hung, Chih‐I Chen, Chwen‐Jen Shieh, Hua-Bing Chen, I‐Ming Chu and Ten‐Chin Wen. Their work appears in journals such as Biochemical Engineering Journal, Enzyme and Microbial Technology, AIChE Journal, Biotechnology and Bioengineering and Bioresource Technology.

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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