Mang Wang
- Polymers and Plastics top 10%
- Automotive Engineering top 10%
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- Multimodal Machine Learning Applications 3
- Advanced Image and Video Retrieval Techniques 3
- Artificial Intelligence top 10%
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- Drug Solubulity and Delivery Systems 4
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- Crystallization and Solubility Studies 4
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- Indoor and Outdoor Localization Technologies 4
- Advanced Battery Materials and Technologies 3
- Organic Electronics and Photovoltaics 3
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- Seed Germination and Physiology 2
- Co-authors
- Hongzheng ChenYunan ChengLe Xin SongGustaaf BorghsYuan FangHangjie YuanHuiying YangHanying Li
- Journals
- Analytical Chemistry (1 paper)The Journal of Physical Chemistry B (2 papers)Langmuir (1 paper)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Mang Wang
33 papers receiving 814 citations
Peers
Comparison fields: 5 of 100
- Electronic, Optical and Magnetic Materials 141
- Polymers and Plastics 105
- Automotive Engineering 75
- Computer Vision and Pattern Recognition 127
- Artificial Intelligence 130
Countries citing papers authored by Mang Wang
This map shows the geographic impact of Mang 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 Mang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mang Wang more than expected).
Fields of papers citing papers by Mang Wang
This network shows the impact of papers produced by Mang 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 Mang Wang. The network helps show where Mang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mang Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 26 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 17 | |
| 5 | 2022 | 63 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 5 | |
| 11 | 2014 | 4 | |
| 12 | 2013 | 37 | |
| 13 | 2011 | 24 | |
| 14 | 2011 | 29 | |
| 15 | 2011 | 38 | |
| 16 | 2011 | 61 | |
| 17 | 2011 | 36 | |
| 18 | 2008 | 3 | |
| 19 | 2007 | 48 | |
| 20 | 2004 | 104 |
About Mang Wang
Mang Wang is a scholar working on Pharmaceutical Science, Computer Vision and Pattern Recognition and Polymers and Plastics, having authored 34 papers that have together received 822 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (4 papers), Crystallization and Solubility Studies (4 papers), Indoor and Outdoor Localization Technologies (4 papers), Multimodal Machine Learning Applications (3 papers), Advanced Battery Materials and Technologies (3 papers), Organic Electronics and Photovoltaics (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Seed Germination and Physiology (2 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (141 citations), Polymers and Plastics (105 citations) and Automotive Engineering (75 citations). Mang Wang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Hongzheng Chen, Yunan Cheng, Le Xin Song, Gustaaf Borghs, Yuan Fang, Hangjie Yuan, Huiying Yang, Hanying Li, Tao Feng and Pol Van Dorpe. Their work appears in journals such as Analytical Chemistry, The Journal of Physical Chemistry B and Langmuir.
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.