Weijun Wang

4.8k citations
161 papers · 4.0k · h-index 35

Impact in

Papers in

    • 2D Materials and Applications 20
    • Graphene research and applications 17
    • Perovskite Materials and Applications 25
    • Advanced Memory and Neural Computing 10
    • Chalcogenide Semiconductor Thin Films 8
    • Terahertz technology and applications 8

Weijun Wang

155 papers receiving 3.9k citations

Peers

Weijun Wang
Comparison fields: 5 of 142
  • Renewable Energy, Sustainability and the Environment 783
  • Materials Chemistry 2.0k
  • Polymers and Plastics 466
  • Electrical and Electronic Engineering 1.7k
  • Electronic, Optical and Magnetic Materials 396
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Weijun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weijun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016345
2 2017195
3 2020169
4 2019125
5 2021124
6 2012120
7 2019119
8 2021115
9 2020112
10 2017111
11 201799
12 201991
13 202375
14 202371
15 202171
16 202371
17 202267
18 201965
19 202264
20 201961

About Weijun Wang

Weijun Wang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Polymers and Plastics, Electronic, Optical and Magnetic Materials and Renewable Energy, Sustainability and the Environment, having authored 161 papers that have together received 4.0k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (25 papers), 2D Materials and Applications (20 papers), Graphene research and applications (17 papers), Transition Metal Oxide Nanomaterials (11 papers), Advanced Memory and Neural Computing (10 papers), Advanced Photocatalysis Techniques (10 papers), Chalcogenide Semiconductor Thin Films (8 papers) and Terahertz technology and applications (8 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (783 citations), Materials Chemistry (2.0k citations), Polymers and Plastics (466 citations), Electrical and Electronic Engineering (1.7k citations) and Electronic, Optical and Magnetic Materials (396 citations). Weijun Wang has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Run Ping Shi, Chun Cheng, Jingwei Wang, Abbas Amini, Johnny Chung Yin Ho, You Meng, Wei Wang, Yip Sen Po, Pengshan Xie and Wei Yuan Pan. Their work appears in journals such as Advanced Functional Materials, Advanced Materials, Nature Communications, ACS Nano and Journal of Materials Chemistry A.

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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