Ping-Chun Wu
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- VLSI and Analog Circuit Testing
-
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- CCD and CMOS Imaging Sensors
Papers in
-
- Advanced Memory and Neural Computing 12
- Semiconductor materials and devices 8
- Ferroelectric and Negative Capacitance Devices 7
-
- Neural Networks and Reservoir Computing 3
- Co-authors
- Meng‐Fan Chang (14 shared papers)Jian-Wei Su (10 shared papers)Yen-Lin Chung (4 shared papers)Chih-Cheng Hsieh (9 shared papers)Kea‐Tiong Tang (9 shared papers)Chung‐Chuan Lo (8 shared papers)Ren-Shuo Liu (8 shared papers)Shih-Chieh Chang (4 shared papers)
- Journals
- IEEE Journal of Solid-State Circuits (5 papers)Future Internet (1 paper)SHILAP Revista de lepidopterología (1 paper)2022 IEEE International Solid- State Circuits Conference (ISSCC) (1 paper)2021 IEEE International Electron Devices Meeting (IEDM) (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Ping-Chun Wu
13 papers receiving 357 citations
Peers
Comparison fields: 5 of 32
- Hardware and Architecture 92
- Electrical and Electronic Engineering 323
- Computer Vision and Pattern Recognition 51
- Artificial Intelligence 72
- Computer Networks and Communications 39
Countries citing papers authored by Ping-Chun Wu
This map shows the geographic impact of Ping-Chun Wu'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 Ping-Chun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping-Chun Wu more than expected).
Fields of papers citing papers by Ping-Chun Wu
This network shows the impact of papers produced by Ping-Chun Wu. 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 Ping-Chun Wu. The network helps show where Ping-Chun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping-Chun Wu, 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 | 2021 | 121 | |
| 2 | 2022 | 91 | |
| 3 | 2023 | 55 | |
| 4 | 2021 | 40 | |
| 5 | 2024 | 18 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 9 | |
| 9 | 2021 | 5 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2023 | 0 |
About Ping-Chun Wu
Ping-Chun Wu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 364 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Semiconductor materials and devices (8 papers), Ferroelectric and Negative Capacitance Devices (7 papers), Neural Networks and Reservoir Computing (3 papers), Parallel Computing and Optimization Techniques (2 papers), VLSI and Analog Circuit Testing (2 papers), Advanced Neural Network Applications (2 papers) and Semiconductor Quantum Structures and Devices (1 paper). The work is most often cited by research in Hardware and Architecture (92 citations), Electrical and Electronic Engineering (323 citations), Computer Vision and Pattern Recognition (51 citations), Artificial Intelligence (72 citations) and Computer Networks and Communications (39 citations). Ping-Chun Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Meng‐Fan Chang, Jian-Wei Su, Yen-Lin Chung, Chih-Cheng Hsieh, Kea‐Tiong Tang, Chung‐Chuan Lo, Ren-Shuo Liu, Shih-Chieh Chang, Jin-Sheng Ren and Sih-Han Li. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Future Internet, SHILAP Revista de lepidopterología, 2022 IEEE International Solid- State Circuits Conference (ISSCC) and 2021 IEEE International Electron Devices Meeting (IEDM).
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.