H.‐S. Philip Wong
- Electrical and Electronic Engineering top 0.01%
- Materials Chemistry top 0.1%
- Biomedical Engineering top 0.1%
- Cellular and Molecular Neuroscience top 0.1%
- Polymers and Plastics top 0.2%
- Co-authors
- Shimeng YuDaniele IelminiSubhasish MitraD.J. FrankYuan TaurXimeng GuanJie DengRakesh Jeyasingh
- Topics
- Semiconductor materials and devices (239 papers)Advanced Memory and Neural Computing (215 papers)Advancements in Semiconductor Devices and Circuit Design (181 papers)
- Cited by
- Electrical and Electronic EngineeringMaterials ChemistryCellular and Molecular Neuroscience
- Partner nations
- United StatesTaiwanChina
In The Last Decade
H.‐S. Philip Wong
624 papers receiving 38.3k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Electrical and Electronic Engineering 32.9k
- Materials Chemistry 14.8k
- Biomedical Engineering 6.7k
- Cellular and Molecular Neuroscience 5.3k
- Polymers and Plastics 3.7k
Countries citing papers authored by H.‐S. Philip Wong
This map shows the geographic impact of H.‐S. Philip Wong'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 H.‐S. Philip Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H.‐S. Philip Wong more than expected).
Fields of papers citing papers by H.‐S. Philip Wong
This network shows the impact of papers produced by H.‐S. Philip Wong. 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 H.‐S. Philip Wong. The network helps show where H.‐S. Philip Wong may publish in the future.
Co-authorship network of co-authors of H.‐S. Philip Wong
This figure shows the co-authorship network connecting the top 25 collaborators of H.‐S. Philip Wong. A scholar is included among the top collaborators of H.‐S. Philip Wong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with H.‐S. Philip Wong. H.‐S. Philip Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 6 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 18 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 12 | |
| 11 | A compute-in-memory chip based on resistive random-access memorybreakdown → | 511 |
| 12 | Low-voltage (~1.3V), Arsenic Free Threshold Type Selector with Ultra High Endurance (> 10 11 ) for High Density 1S1R Memory Array | 3 |
| 13 | 106 | |
| 14 | 3 | |
| 15 | 17 | |
| 16 | 104 | |
| 17 | 2 | |
| 18 | 110 | |
| 19 | 58 | |
| 20 | 76 |
About H.‐S. Philip Wong
H.‐S. Philip Wong is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics, having authored 643 papers that have together received 39.6k indexed citations. Recurring topics across this work include Semiconductor materials and devices (239 papers), Advanced Memory and Neural Computing (215 papers) and Advancements in Semiconductor Devices and Circuit Design (181 papers). The work is most often cited by research in Electrical and Electronic Engineering (32.9k citations), Materials Chemistry (14.8k citations) and Cellular and Molecular Neuroscience (5.3k citations). H.‐S. Philip Wong has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Shimeng Yu, Daniele Ielmini, Subhasish Mitra, D.J. Frank, Yuan Taur, Ximeng Guan, Jie Deng, Jie Deng, Rakesh Jeyasingh and Duygu Kuzum. Their work appears in journals such as Nature, Science and Journal of the American Chemical Society.
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.