Jun Wen

5.0k citations
95 papers · 4.4k · 1 hit paper · h-index 37

Impact in

Papers in

    • Radioactive element chemistry and processing 41
    • Nuclear Materials and Properties 10
    • Covalent Organic Framework Applications 8
    • Graphene research and applications 6

Jun Wen

89 papers receiving 4.4k citations

Jun Wen's Hit Papers

How do tourism activities and induced awe affect tourists’ pro-environmental behavior? 2024 · 37 citations
370+1Years since publication102030

Peers

Jun Wen
Comparison fields: 5 of 133
  • Industrial and Manufacturing Engineering 1.7k
  • Inorganic Chemistry 2.6k
  • Geochemistry and Petrology 469
  • Water Science and Technology 592
  • Materials Chemistry 1.8k
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Citations per field
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Citations per year

Countries citing papers authored by Jun Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018364
2 2019281
3 2018246
4 2019222
5 2019206
6 2019177
7 2018168
8 2019166
9 2006150
10 2018136
11 2020112
12 2020109
13 2020102
14 2015101
15 201999
16 201691
17 201882
18 201880
19 202175
20 201672

About Jun Wen

Jun Wen is a scholar working on Inorganic Chemistry, Materials Chemistry, Industrial and Manufacturing Engineering, Molecular Biology and Mechanical Engineering, having authored 95 papers that have together received 4.4k indexed citations. Recurring topics across this work include Radioactive element chemistry and processing (41 papers), Chemical Synthesis and Characterization (24 papers), Nuclear Materials and Properties (10 papers), Hedgehog Signaling Pathway Studies (9 papers), Extraction and Separation Processes (9 papers), Covalent Organic Framework Applications (8 papers), Cancer-related Molecular Pathways (6 papers) and Graphene research and applications (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.7k citations), Inorganic Chemistry (2.6k citations), Geochemistry and Petrology (469 citations), Water Science and Technology (592 citations) and Materials Chemistry (1.8k citations). Jun Wen has collaborated with scholars based in China, United States and Uzbekistan. Frequent co-authors include Xiaolin Wang, Ning Wang, Yihui Yuan, Sheng Hu, Qiuhan Yu, Shilei Zhao, Jie Xiong, Zhanhu Guo, Xiaofei Tan and Shaobo Liu. Their work appears in journals such as Chemical Engineering Journal, Separation and Purification Technology, Journal of Hazardous Materials, Bioorganic & Medicinal Chemistry Letters and Advanced 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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