Wang Tang
Impact in
- Inorganic Chemistry top 10%
- Metal-Organic Frameworks: Synthesis and Applications
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- Magnetism in coordination complexes
Papers in
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- Metal-Organic Frameworks: Synthesis and Applications 7
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- Energetic Materials and Combustion 5
- Metal and Thin Film Mechanics 4
- Co-authors
- Changwen Hu (7 shared papers)Yun Gong (5 shared papers)Hui Li (3 shared papers)Beng S. Ong (1 shared paper)G.H. Rao (1 shared paper)Jin Wei Zhao (1 shared paper)Zoran D. Popović (1 shared paper)Gu Xu (1 shared paper)
- Journals
- Materials Characterization (2 papers)Wave Motion (2 papers)Journal of Solid State Chemistry (2 papers)Scientific Reports (2 papers)Neurocomputing (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Wang Tang
55 papers receiving 678 citations
Peers
Comparison fields: 5 of 114
- Inorganic Chemistry 172
- Electronic, Optical and Magnetic Materials 83
- Waste Management and Disposal 37
- Materials Chemistry 172
- Polymers and Plastics 49
Countries citing papers authored by Wang Tang
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
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.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 95 | |
| 2 | 2006 | 65 | |
| 3 | 2022 | 57 | |
| 4 | 2022 | 42 | |
| 5 | 2005 | 37 | |
| 6 | 2016 | 34 | |
| 7 | 2005 | 32 | |
| 8 | 2022 | 25 | |
| 9 | 2013 | 24 | |
| 10 | 2007 | 23 | |
| 11 | 2006 | 19 | |
| 12 | 2022 | 17 | |
| 13 | 2025 | 17 | |
| 14 | 2018 | 16 | |
| 15 | 2024 | 13 | |
| 16 | 2020 | 12 | |
| 17 | 2023 | 12 | |
| 18 | 2025 | 12 | |
| 19 | 2007 | 9 | |
| 20 | 2018 | 8 |
About Wang Tang
Wang Tang is a scholar working on Inorganic Chemistry, Mechanics of Materials, Computer Vision and Pattern Recognition, Materials Chemistry and Artificial Intelligence, having authored 61 papers that have together received 693 indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (7 papers), Human Pose and Action Recognition (7 papers), Thermal and Kinetic Analysis (5 papers), Energetic Materials and Combustion (5 papers), Anomaly Detection Techniques and Applications (4 papers), Shape Memory Alloy Transformations (4 papers), Magnetism in coordination complexes (4 papers) and Metal and Thin Film Mechanics (4 papers). The work is most often cited by research in Inorganic Chemistry (172 citations), Electronic, Optical and Magnetic Materials (83 citations), Waste Management and Disposal (37 citations), Materials Chemistry (172 citations) and Polymers and Plastics (49 citations). Wang Tang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Changwen Hu, Yun Gong, Hui Li, Beng S. Ong, G.H. Rao, Jin Wei Zhao, Zoran D. Popović, Gu Xu, Linbo Qing and Lindong Li. Their work appears in journals such as Materials Characterization, Wave Motion, Journal of Solid State Chemistry, Scientific Reports 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.