Weier Wan
Impact in
-
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- CCD and CMOS Imaging Sensors
-
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
-
- Advanced Memory and Neural Computing 15
- Ferroelectric and Negative Capacitance Devices 11
- CCD and CMOS Imaging Sensors 3
- Semiconductor materials and devices 3
-
- Neural Networks and Reservoir Computing 2
- Machine Learning and ELM 2
- Co-authors
- H.‐S. Philip Wong (13 shared papers)Bin Gao (5 shared papers)Huaqiang Wu (5 shared papers)Gert Cauwenberghs (5 shared papers)Siddharth Joshi (5 shared papers)Priyanka Raina (5 shared papers)Sukru Burc Eryilmaz (5 shared papers)Rajkumar Kubendran (4 shared papers)
- Journals
- Scientific Reports (2 papers)Journal of Physics D Applied Physics (1 paper)IEEE Journal of Solid-State Circuits (1 paper)IEEE Transactions on Electron Devices (1 paper)Nature (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Weier Wan
15 papers receiving 996 citations
Weier Wan's Hit Papers
Peers
Comparison fields: 5 of 52
- Electrical and Electronic Engineering 928
- Cellular and Molecular Neuroscience 232
- Hardware and Architecture 54
- Artificial Intelligence 211
- Cognitive Neuroscience 111
Countries citing papers authored by Weier Wan
This map shows the geographic impact of Weier Wan'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 Weier Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weier Wan more than expected).
Fields of papers citing papers by Weier Wan
This network shows the impact of papers produced by Weier Wan. 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 Weier Wan. The network helps show where Weier Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Weier Wan, 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 | A compute-in-memory chip based on resistive random-access memory Hit paper breakdown → | 2022 | 567 |
| 2 | 2018 | 122 | |
| 3 | 2020 | 107 | |
| 4 | 2021 | 48 | |
| 5 | 2019 | 41 | |
| 6 | 2016 | 30 | |
| 7 | 2020 | 30 | |
| 8 | 2018 | 19 | |
| 9 | 2018 | 18 | |
| 10 | 2018 | 9 | |
| 11 | 2020 | 7 | |
| 12 | One-Shot Learning with Memory-Augmented Neural Networks Using a 64-kbit, 118 GOPS/W RRAM-Based Non-Volatile Associative Memory | 2021 | 7 |
| 13 | 2024 | 6 | |
| 14 | 2020 | 2 | |
| 15 | 2020 | 1 | |
| 16 | 2025 | 0 |
About Weier Wan
Weier Wan is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Molecular Biology and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (15 papers), Ferroelectric and Negative Capacitance Devices (11 papers), CCD and CMOS Imaging Sensors (3 papers), Semiconductor materials and devices (3 papers), Neural Networks and Reservoir Computing (2 papers), Machine Learning and ELM (2 papers), Neuroscience and Neural Engineering (1 paper) and Phase-change materials and chalcogenides (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (928 citations), Cellular and Molecular Neuroscience (232 citations), Hardware and Architecture (54 citations), Artificial Intelligence (211 citations) and Cognitive Neuroscience (111 citations). Weier Wan has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include H.‐S. Philip Wong, Bin Gao, Huaqiang Wu, Gert Cauwenberghs, Siddharth Joshi, Priyanka Raina, Sukru Burc Eryilmaz, Rajkumar Kubendran, Dabin Wu and Wenqiang Zhang. Their work appears in journals such as Scientific Reports, Journal of Physics D Applied Physics, IEEE Journal of Solid-State Circuits, IEEE Transactions on Electron Devices and Nature.
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.