Guoqing Wang
Impact in
- Signal Processing top 2%
- Biometric Identification and Security
Papers in
-
- Metal-Organic Frameworks: Synthesis and Applications 8
- Co-authors
- Shiguang Shan (4 shared papers)Hu Han (4 shared papers)Xilin Chen (4 shared papers)Jiali Chen (4 shared papers)Liang Zhao (5 shared papers)Xiaobing Zhang (5 shared papers)Bin Shen (4 shared papers)Feng Guo (5 shared papers)
In The Last Decade
Guoqing Wang
29 papers receiving 829 citations
Peers
Comparison fields: 5 of 68
- Signal Processing 292
- Process Chemistry and Technology 74
- Computer Vision and Pattern Recognition 290
- Geophysics 170
- Electronic, Optical and Magnetic Materials 144
Countries citing papers authored by Guoqing Wang
This map shows the geographic impact of Guoqing 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 Guoqing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoqing Wang more than expected).
Fields of papers citing papers by Guoqing Wang
This network shows the impact of papers produced by Guoqing 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 Guoqing Wang. The network helps show where Guoqing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guoqing 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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 134 | |
| 2 | 2020 | 104 | |
| 3 | 2021 | 74 | |
| 4 | 2019 | 70 | |
| 5 | 2020 | 62 | |
| 6 | 2019 | 60 | |
| 7 | 2022 | 46 | |
| 8 | 2020 | 46 | |
| 9 | 2019 | 32 | |
| 10 | 2021 | 29 | |
| 11 | 2024 | 26 | |
| 12 | 2022 | 21 | |
| 13 | 2020 | 18 | |
| 14 | 2021 | 18 | |
| 15 | 2017 | 16 | |
| 16 | 2020 | 16 | |
| 17 | 2021 | 15 | |
| 18 | 2021 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2021 | 10 |
About Guoqing Wang
Guoqing Wang is a scholar working on Inorganic Chemistry, Artificial Intelligence, Materials Chemistry, Computer Vision and Pattern Recognition and Process Chemistry and Technology, having authored 34 papers that have together received 856 indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (8 papers), Geological and Geochemical Analysis (5 papers), Carbon dioxide utilization in catalysis (5 papers), Covalent Organic Framework Applications (5 papers), Biometric Identification and Security (4 papers), Electromagnetic wave absorption materials (4 papers), Advanced Antenna and Metasurface Technologies (4 papers) and High-pressure geophysics and materials (4 papers). The work is most often cited by research in Signal Processing (292 citations), Process Chemistry and Technology (74 citations), Computer Vision and Pattern Recognition (290 citations), Geophysics (170 citations) and Electronic, Optical and Magnetic Materials (144 citations). Guoqing Wang has collaborated with scholars based in China, Ethiopia and Canada. Frequent co-authors include Shiguang Shan, Hu Han, Xilin Chen, Jiali Chen, Liang Zhao, Xiaobing Zhang, Bin Shen, Feng Guo, Wenge Zheng and Bo Zhang. Their work appears in journals such as Chemical Engineering Journal, Materials Today Physics, Lithos, Molecular Diversity and Contributions to Mineralogy and Petrology.
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.