Zhida Gu
Impact in
- Inorganic Chemistry top 5%
- Metal-Organic Frameworks: Synthesis and Applications
Papers in
-
- Covalent Organic Framework Applications 5
- Nanocluster Synthesis and Applications 2
- Machine Learning in Materials Science 2
- Catalytic Processes in Materials Science 2
- Polyoxometalates: Synthesis and Applications 2
-
- Metal-Organic Frameworks: Synthesis and Applications 11
- Co-authors
- Weina Zhang (13 shared papers)Fengwei Huo (12 shared papers)Yu Fu (10 shared papers)Sheng Li (3 shared papers)Wenlei Zhang (6 shared papers)Bing Zheng (3 shared papers)Jiansheng Wu (3 shared papers)Peng Wang (3 shared papers)
In The Last Decade
Zhida Gu
15 papers receiving 480 citations
Peers
Comparison fields: 5 of 47
- Inorganic Chemistry 229
- Catalysis 48
- Renewable Energy, Sustainability and the Environment 111
- Materials Chemistry 258
- Process Chemistry and Technology 14
Countries citing papers authored by Zhida Gu
This map shows the geographic impact of Zhida 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 Zhida Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhida Gu more than expected).
Fields of papers citing papers by Zhida Gu
This network shows the impact of papers produced by Zhida 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 Zhida Gu. The network helps show where Zhida Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhida 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 105 | |
| 2 | 2019 | 64 | |
| 3 | 2020 | 58 | |
| 4 | 2020 | 43 | |
| 5 | 2023 | 40 | |
| 6 | 2019 | 40 | |
| 7 | 2020 | 35 | |
| 8 | 2020 | 30 | |
| 9 | 2023 | 20 | |
| 10 | 2024 | 19 | |
| 11 | 2021 | 12 | |
| 12 | 2024 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2023 | 4 | |
| 15 | 2020 | 3 |
About Zhida Gu
Zhida Gu is a scholar working on Materials Chemistry, Inorganic Chemistry, Organic Chemistry, Electrical and Electronic Engineering and Mechanical Engineering, having authored 15 papers that have together received 486 indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (11 papers), Covalent Organic Framework Applications (5 papers), Nanomaterials for catalytic reactions (3 papers), Advanced Battery Materials and Technologies (2 papers), Nanocluster Synthesis and Applications (2 papers), Machine Learning in Materials Science (2 papers), Catalytic Processes in Materials Science (2 papers) and Polyoxometalates: Synthesis and Applications (2 papers). The work is most often cited by research in Inorganic Chemistry (229 citations), Catalysis (48 citations), Renewable Energy, Sustainability and the Environment (111 citations), Materials Chemistry (258 citations) and Process Chemistry and Technology (14 citations). Zhida Gu has collaborated with scholars based in China and Mexico. Frequent co-authors include Weina Zhang, Fengwei Huo, Yu Fu, Sheng Li, Wenlei Zhang, Bing Zheng, Jiansheng Wu, Peng Wang, Wenlan Ji and Yun Fan. Their work appears in journals such as Advanced Materials, ACS Applied Materials & Interfaces, Microporous and Mesoporous Materials, Advanced Functional Materials and Chemical Communications.
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.