Fangjun Wu

786 citations
14 papers · 685 · h-index 9

Impact in

Papers in

    • Graphene research and applications 3
    • Boron and Carbon Nanomaterials Research 1
    • Lipid Membrane Structure and Behavior 5
    • Protein Structure and Dynamics 2
    • S100 Proteins and Annexins 2

Fangjun Wu

14 papers receiving 677 citations

Peers

Fangjun Wu
Comparison fields: 5 of 79
  • Renewable Energy, Sustainability and the Environment 461
  • Materials Chemistry 370
  • Electrical and Electronic Engineering 219
  • Catalysis 24
  • Virology 16
Replace Sónia Zacarias with:
Sónia Zacarias Portugal
Zhi Wu China
Meiqing Yang China
Mengyu Zhao China
Junying Yang China
Thi Minh Nguyet Tran United States
Thomas Stracensky United States
Chencheng Hu China
Fangjun Wu relative to Sónia Zacarias Portugal Sónia Zacarias's profile →
Citations per field
00.5×
Sónia Zacarias · 1×
Citations per year

Countries citing papers authored by Fangjun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fangjun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2017355
2 2015125
3 200035
4 202430
5 200130
6 199827
7 202426
8 199826
9 20019
10 20198
11 20146
12 20155
13 19942
14 20241

About Fangjun Wu

Fangjun Wu is a scholar working on Materials Chemistry, Molecular Biology, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Biomaterials, having authored 14 papers that have together received 685 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (5 papers), Graphene research and applications (3 papers), Advanced Photocatalysis Techniques (3 papers), Protein Structure and Dynamics (2 papers), S100 Proteins and Annexins (2 papers), HIV Research and Treatment (1 paper), Boron and Carbon Nanomaterials Research (1 paper) and Caching and Content Delivery (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (461 citations), Materials Chemistry (370 citations), Electrical and Electronic Engineering (219 citations), Catalysis (24 citations) and Virology (16 citations). Fangjun Wu has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Shuting Zhang, Wei Liu, Xin Li, Carol R. Flach, Wuyi Zhou, Yueping Fang, Jinzhen Li, Richard Mendelsohn, Barbara A. Seaton and Tanya R. Mealy. Their work appears in journals such as Applied Surface Science, Biochimica et Biophysica Acta (BBA) - Biomembranes, Biochemistry, Journal of Crystal Growth and Polymer Composites.

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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