Li-Yang Hong
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
- Gas Sensing Nanomaterials and Sensors
Papers in
-
- Analytical Chemistry and Sensors 3
-
- Advanced Memory and Neural Computing 6
- Ferroelectric and Negative Capacitance Devices 5
- Semiconductor materials and devices 4
- Gas Sensing Nanomaterials and Sensors 3
- Low-power high-performance VLSI design 1
- Co-authors
- Heh‐Nan Lin (3 shared papers)Jian-Wei Su (5 shared papers)Ping-Chun Wu (5 shared papers)Meng‐Fan Chang (5 shared papers)Wei‐Chung Lo (4 shared papers)Ren-Shuo Liu (4 shared papers)Shih-Chieh Chang (4 shared papers)Chih-Cheng Hsieh (4 shared papers)
- Journals
- IEEE Journal of Solid-State Circuits (4 papers)Materials Letters (1 paper)Beilstein Journal of Nanotechnology (1 paper)Sensors and Actuators A Physical (1 paper)2022 IEEE International Solid- State Circuits Conference (ISSCC) (1 paper)
In The Last Decade
Li-Yang Hong
9 papers receiving 309 citations
Peers
Comparison fields: 5 of 31
- Hardware and Architecture 85
- Electrical and Electronic Engineering 270
- Bioengineering 16
- Artificial Intelligence 61
- Computer Networks and Communications 23
Countries citing papers authored by Li-Yang Hong
This map shows the geographic impact of Li-Yang Hong'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 Li-Yang Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li-Yang Hong more than expected).
Fields of papers citing papers by Li-Yang Hong
This network shows the impact of papers produced by Li-Yang Hong. 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 Li-Yang Hong. The network helps show where Li-Yang Hong may publish in the future.
Co-authors
The 25 scholars most cited alongside Li-Yang Hong, 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 | 2022 | 113 | |
| 2 | 2023 | 71 | |
| 3 | 2022 | 41 | |
| 4 | 2023 | 22 | |
| 5 | 2016 | 19 | |
| 6 | 2023 | 16 | |
| 7 | 2023 | 15 | |
| 8 | 2016 | 14 | |
| 9 | 2015 | 5 |
About Li-Yang Hong
Li-Yang Hong is a scholar working on Bioengineering, Electrical and Electronic Engineering, Hardware and Architecture, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 316 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Semiconductor materials and devices (4 papers), Gas Sensing Nanomaterials and Sensors (3 papers), Analytical Chemistry and Sensors (3 papers), Low-power high-performance VLSI design (1 paper), Acoustic Wave Resonator Technologies (1 paper) and ZnO doping and properties (1 paper). The work is most often cited by research in Hardware and Architecture (85 citations), Electrical and Electronic Engineering (270 citations), Bioengineering (16 citations), Artificial Intelligence (61 citations) and Computer Networks and Communications (23 citations). Li-Yang Hong has collaborated with scholars based in Taiwan and China. Frequent co-authors include Heh‐Nan Lin, Jian-Wei Su, Ping-Chun Wu, Meng‐Fan Chang, Wei‐Chung Lo, Ren-Shuo Liu, Shih-Chieh Chang, Chih-Cheng Hsieh, Shyh-Shyuan Sheu and Chung‐Chuan Lo. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Materials Letters, Beilstein Journal of Nanotechnology, Sensors and Actuators A Physical and 2022 IEEE International Solid- State Circuits Conference (ISSCC).
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.