Weiqing Gu
Impact in
- Pollution top 2%
- Microplastics and Plastic Pollution
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
Papers in
-
- Microplastics and Plastic Pollution 4
- Co-authors
- Bing Wu (5 shared papers)Su Liu (3 shared papers)Ling Chen (3 shared papers)Jing Yu (3 shared papers)Hongqiang Ren (2 shared papers)Yuxuan Liu (1 shared paper)Cheng Gu (1 shared paper)Xiaomei Wu (1 shared paper)
- Journals
- Cell Biochemistry and Biophysics (2 papers)Chemosphere (2 papers)Environmental Science & Technology (2 papers)BMC Pulmonary Medicine (1 paper)Cancer Cell International (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Weiqing Gu
30 papers receiving 832 citations
Peers
Comparison fields: 5 of 124
- Pollution 353
- Modeling and Simulation 111
- Industrial and Manufacturing Engineering 123
- Computational Mathematics 5
- Health, Toxicology and Mutagenesis 96
Countries citing papers authored by Weiqing Gu
This map shows the geographic impact of Weiqing Gu'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 Weiqing Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiqing Gu more than expected).
Fields of papers citing papers by Weiqing Gu
This network shows the impact of papers produced by Weiqing Gu. 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 Weiqing Gu. The network helps show where Weiqing Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiqing Gu, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 208 | |
| 2 | Matrix Perturbation Theory | 2005 | 125 |
| 3 | 2008 | 119 | |
| 4 | 2020 | 113 | |
| 5 | 2021 | 52 | |
| 6 | 2022 | 44 | |
| 7 | 2020 | 41 | |
| 8 | Seeking Bang-Bang Solutions of Mixed Immuno-Chemotherapy of Tumors | 2007 | 30 |
| 9 | 2022 | 21 | |
| 10 | 2014 | 19 | |
| 11 | 2015 | 15 | |
| 12 | 2020 | 9 | |
| 13 | 2020 | 9 | |
| 14 | 1990 | 8 | |
| 15 | 2005 | 7 | |
| 16 | 2001 | 6 | |
| 17 | 2019 | 5 | |
| 18 | 1998 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2023 | 3 |
About Weiqing Gu
Weiqing Gu is a scholar working on Molecular Biology, Pollution, Oncology, Applied Mathematics and Astronomy and Astrophysics, having authored 30 papers that have together received 859 indexed citations. Recurring topics across this work include Microplastics and Plastic Pollution (4 papers), Geometric Analysis and Curvature Flows (4 papers), Advanced Differential Geometry Research (2 papers), Black Holes and Theoretical Physics (2 papers), Material Properties and Applications (2 papers), Mathematical Biology Tumor Growth (2 papers), Expert finding and Q&A systems (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Pollution (353 citations), Modeling and Simulation (111 citations), Industrial and Manufacturing Engineering (123 citations), Computational Mathematics (5 citations) and Health, Toxicology and Mutagenesis (96 citations). Weiqing Gu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Bing Wu, Su Liu, Ling Chen, Jing Yu, Hongqiang Ren, Yuxuan Liu, Cheng Gu, Xiaomei Wu, Michael Daub and David A. Gross. Their work appears in journals such as Cell Biochemistry and Biophysics, Chemosphere, Environmental Science & Technology, BMC Pulmonary Medicine and Cancer Cell International.
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.