Wang Tang

890 citations
59 papers · 652 · h-index 14

Impact in

Papers in

    • Thermal and Kinetic Analysis 5
    • Shape Memory Alloy Transformations 4
    • Polyoxometalates: Synthesis and Applications 4
    • Energetic Materials and Combustion 5
    • Metal and Thin Film Mechanics 4

Wang Tang

55 papers receiving 636 citations

Peers

Wang Tang
Comparison fields: 5 of 111
  • Inorganic Chemistry 172
  • Electronic, Optical and Magnetic Materials 82
  • Industrial and Manufacturing Engineering 37
  • Polymers and Plastics 52
  • Materials Chemistry 168
Replace Min-Yu Li with:
Min-Yu Li China
Yang Bu China
Yuki Matsuoka Japan
Fumihito Mishima Japan
Yuanyuan Han China
Hui Yu China
Cheng-Ying Li Taiwan
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Citations per field
00.5×3.7×
Min-Yu Li · 1×
Citations per year

Countries citing papers authored by Wang Tang

Since Specialization
Citations

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

Fields of papers citing papers by Wang Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005100
2 200665
3 202252
4 202238
5 200537
6 201632
7 200532
8 201323
9 200723
10 202223
11 200619
12 201816
13 202215
14 202513
15 202512
16 202011
17 202310
18 202410
19 20079
20 20188

About Wang Tang

Wang Tang is a scholar working on Materials Chemistry, Mechanics of Materials, Artificial Intelligence, Inorganic Chemistry and Computer Vision and Pattern Recognition, having authored 59 papers that have together received 652 indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (7 papers), Human Pose and Action Recognition (6 papers), Thermal and Kinetic Analysis (5 papers), Energetic Materials and Combustion (5 papers), Magnetism in coordination complexes (4 papers), Metal and Thin Film Mechanics (4 papers), Shape Memory Alloy Transformations (4 papers) and Polyoxometalates: Synthesis and Applications (4 papers). The work is most often cited by research in Inorganic Chemistry (172 citations), Electronic, Optical and Magnetic Materials (82 citations), Industrial and Manufacturing Engineering (37 citations), Polymers and Plastics (52 citations) and Materials Chemistry (168 citations). Wang Tang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Changwen Hu, Yun Gong, Hui Li, G.H. Rao, Gu Xu, Zoran D. Popović, Jin Zhao, Beng S. Ong, Linbo Qing and Lindong Li. Their work appears in journals such as Journal of Solid State Chemistry, Materials Characterization, Scientific Reports, Wave Motion and Neurocomputing.

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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