Dashan Shang
Impact in
-
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
-
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
Papers in
-
- Advanced Memory and Neural Computing 66
- Ferroelectric and Negative Capacitance Devices 37
-
- Ferroelectric and Piezoelectric Materials 9
- Co-authors
- Young Sun (25 shared papers)Yisheng Chai (19 shared papers)Nan Liu (2 shared papers)Chuansen Yang (6 shared papers)Kun Zhai (10 shared papers)Qi Liu (19 shared papers)Gang Shi (1 shared paper)Chuan Yang (1 shared paper)
In The Last Decade
Dashan Shang
84 papers receiving 2.8k citations
Dashan Shang's Hit Papers
Peers
Comparison fields: 5 of 64
- Cellular and Molecular Neuroscience 825
- Electrical and Electronic Engineering 2.3k
- Polymers and Plastics 549
- Electronic, Optical and Magnetic Materials 608
- Condensed Matter Physics 223
Countries citing papers authored by Dashan Shang
This map shows the geographic impact of Dashan Shang'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 Dashan Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dashan Shang more than expected).
Fields of papers citing papers by Dashan Shang
This network shows the impact of papers produced by Dashan Shang. 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 Dashan Shang. The network helps show where Dashan Shang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dashan Shang, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | All‐Solid‐State Synaptic Transistor with Ultralow Conductance for Neuromorphic Computing Hit paper breakdown → | 2018 | 420 |
| 2 | A Synaptic Transistor based on Quasi‐2D Molybdenum Oxide Hit paper breakdown → | 2017 | 382 |
| 3 | 2020 | 137 | |
| 4 | 2019 | 117 | |
| 5 | 2017 | 112 | |
| 6 | 2020 | 98 | |
| 7 | 2017 | 85 | |
| 8 | 2021 | 84 | |
| 9 | 2018 | 82 | |
| 10 | 2021 | 71 | |
| 11 | 2016 | 67 | |
| 12 | 2016 | 64 | |
| 13 | 2016 | 55 | |
| 14 | 2023 | 54 | |
| 15 | 2009 | 53 | |
| 16 | 2016 | 50 | |
| 17 | 2016 | 48 | |
| 18 | 2020 | 46 | |
| 19 | 2018 | 44 | |
| 20 | 2023 | 38 |
About Dashan Shang
Dashan Shang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Artificial Intelligence, Cellular and Molecular Neuroscience and Electronic, Optical and Magnetic Materials, having authored 90 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (66 papers), Ferroelectric and Negative Capacitance Devices (37 papers), Neural Networks and Reservoir Computing (16 papers), Multiferroics and related materials (13 papers), Neural dynamics and brain function (13 papers), Neuroscience and Neural Engineering (10 papers), Ferroelectric and Piezoelectric Materials (9 papers) and Advanced Condensed Matter Physics (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (825 citations), Electrical and Electronic Engineering (2.3k citations), Polymers and Plastics (549 citations), Electronic, Optical and Magnetic Materials (608 citations) and Condensed Matter Physics (223 citations). Dashan Shang has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Young Sun, Yisheng Chai, Nan Liu, Chuansen Yang, Kun Zhai, Qi Liu, Gang Shi, Chuan Yang, Shipeng Shen and Xi Shen. Their work appears in journals such as Applied Physics Letters, Nature Communications, IEEE Transactions on Circuits & Systems II Express Briefs, Advanced Electronic Materials and Advanced Functional 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.