Dingwei Li
Impact in
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- Advanced Memory and Neural Computing
- Perovskite Materials and Applications
Papers in
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- Advanced Memory and Neural Computing 22
- CCD and CMOS Imaging Sensors 11
- Thin-Film Transistor Technologies 8
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- Analytical Chemistry and Sensors 7
- Co-authors
- Bowen Zhu (46 shared papers)Kun Liang (23 shared papers)Huihui Ren (33 shared papers)Yingjie Tang (25 shared papers)Mengjie You (5 shared papers)Yan Wang (19 shared papers)Han Ding (5 shared papers)Yitong Chen (28 shared papers)
In The Last Decade
Dingwei Li
72 papers receiving 2.2k citations
Dingwei Li's Hit Papers
Peers
Comparison fields: 5 of 150
- Radiological and Ultrasound Technology 116
- Electrical and Electronic Engineering 1.1k
- Polymers and Plastics 241
- Cellular and Molecular Neuroscience 276
- Statistics, Probability and Uncertainty 106
Countries citing papers authored by Dingwei Li
This map shows the geographic impact of Dingwei Li'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 Dingwei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingwei Li more than expected).
Fields of papers citing papers by Dingwei Li
This network shows the impact of papers produced by Dingwei Li. 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 Dingwei Li. The network helps show where Dingwei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Dingwei Li, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 159 | |
| 2 | 2019 | 147 | |
| 3 | Identifying coal mine safety production risk factors by employing text mining and Bayesian network techniques Hit paper breakdown → | 2022 | 140 |
| 4 | 2023 | 137 | |
| 5 | 2021 | 126 | |
| 6 | 2023 | 123 | |
| 7 | 2020 | 72 | |
| 8 | 2021 | 72 | |
| 9 | 2020 | 70 | |
| 10 | 2021 | 60 | |
| 11 | 2024 | 60 | |
| 12 | 2023 | 59 | |
| 13 | 2022 | 59 | |
| 14 | 2018 | 56 | |
| 15 | 2023 | 56 | |
| 16 | 2023 | 54 | |
| 17 | 2022 | 48 | |
| 18 | 2022 | 47 | |
| 19 | 2021 | 46 | |
| 20 | 2022 | 43 |
About Dingwei Li
Dingwei Li is a scholar working on Electrical and Electronic Engineering, Bioengineering, Biomedical Engineering, Polymers and Plastics and Cellular and Molecular Neuroscience, having authored 81 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (22 papers), CCD and CMOS Imaging Sensors (11 papers), Advanced Sensor and Energy Harvesting Materials (9 papers), Advanced Surface Polishing Techniques (8 papers), Thin-Film Transistor Technologies (8 papers), Advanced machining processes and optimization (8 papers), Transition Metal Oxide Nanomaterials (7 papers) and Analytical Chemistry and Sensors (7 papers). The work is most often cited by research in Radiological and Ultrasound Technology (116 citations), Electrical and Electronic Engineering (1.1k citations), Polymers and Plastics (241 citations), Cellular and Molecular Neuroscience (276 citations) and Statistics, Probability and Uncertainty (106 citations). Dingwei Li has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Bowen Zhu, Kun Liang, Huihui Ren, Yingjie Tang, Mengjie You, Yan Wang, Han Ding, Yitong Chen, Hong Wang and Huan Zhao. Their work appears in journals such as IEEE Electron Device Letters, ACS Nano, Advanced Functional Materials, ACS Applied Materials & Interfaces and Small.
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.