Guanglong Ding
Impact in
- Polymers and Plastics top 2%
- Conducting polymers and applications
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Advanced Memory and Neural Computing 51
- Ferroelectric and Negative Capacitance Devices 12
- Perovskite Materials and Applications 8
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- MXene and MAX Phase Materials 8
- 2D Materials and Applications 7
- Co-authors
- Ye Zhou (56 shared papers)Su‐Ting Han (61 shared papers)Kui Zhou (29 shared papers)Yongsong Cao (21 shared papers)Mingcheng Guo (12 shared papers)Chen Zhang (11 shared papers)Wenbing Zhang (12 shared papers)Jia‐Qin Yang (7 shared papers)
In The Last Decade
Guanglong Ding
82 papers receiving 3.1k citations
Guanglong Ding's Hit Papers
Peers
Comparison fields: 5 of 100
- Polymers and Plastics 555
- Cellular and Molecular Neuroscience 579
- Catalysis 214
- Electrical and Electronic Engineering 1.8k
- Pollution 262
Countries citing papers authored by Guanglong Ding
This map shows the geographic impact of Guanglong Ding'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 Guanglong Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanglong Ding more than expected).
Fields of papers citing papers by Guanglong Ding
This network shows the impact of papers produced by Guanglong Ding. 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 Guanglong Ding. The network helps show where Guanglong Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Guanglong Ding, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bioinspired Artificial Sensory Nerve Based on Nafion Memristor Hit paper breakdown → | 2019 | 284 |
| 2 | 2018 | 136 | |
| 3 | 2020 | 132 | |
| 4 | 2018 | 126 | |
| 5 | 2023 | 117 | |
| 6 | 2017 | 115 | |
| 7 | 2020 | 107 | |
| 8 | 2017 | 95 | |
| 9 | 2018 | 92 | |
| 10 | 2021 | 87 | |
| 11 | 2015 | 86 | |
| 12 | 2021 | 86 | |
| 13 | 2019 | 83 | |
| 14 | 2014 | 82 | |
| 15 | 2021 | 66 | |
| 16 | 2023 | 65 | |
| 17 | 2015 | 63 | |
| 18 | 2022 | 59 | |
| 19 | 2019 | 57 | |
| 20 | 2017 | 57 |
About Guanglong Ding
Guanglong Ding is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Polymers and Plastics and Cellular and Molecular Neuroscience, having authored 86 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (51 papers), Conducting polymers and applications (13 papers), Photoreceptor and optogenetics research (13 papers), Advanced Sensor and Energy Harvesting Materials (12 papers), Ferroelectric and Negative Capacitance Devices (12 papers), Perovskite Materials and Applications (8 papers), MXene and MAX Phase Materials (8 papers) and 2D Materials and Applications (7 papers). The work is most often cited by research in Polymers and Plastics (555 citations), Cellular and Molecular Neuroscience (579 citations), Catalysis (214 citations), Electrical and Electronic Engineering (1.8k citations) and Pollution (262 citations). Guanglong Ding has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Ye Zhou, Su‐Ting Han, Kui Zhou, Yongsong Cao, Mingcheng Guo, Chen Zhang, Wenbing Zhang, Jia‐Qin Yang, Ruosi Chen and Gang Tang. Their work appears in journals such as Advanced Functional Materials, Small, Advanced Materials, ACS Applied Materials & Interfaces and Advanced Electronic Materials.
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.