Ping Huang
- Computer Networks and Communications top 2%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Hardware and Architecture top 5%
- Artificial Intelligence top 10%
- Topics
- Advanced Data Storage Technologies (65 papers)Caching and Content Delivery (44 papers)Parallel Computing and Optimization Techniques (28 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ping Huang
102 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 76
- Computer Networks and Communications 671
- Computer Vision and Pattern Recognition 327
- Information Systems 253
- Hardware and Architecture 235
- Artificial Intelligence 143
Countries citing papers authored by Ping Huang
This map shows the geographic impact of Ping Huang'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 Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Huang more than expected).
Fields of papers citing papers by Ping Huang
This network shows the impact of papers produced by Ping Huang. 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 Huang. The network helps show where Ping Huang may publish in the future.
Co-authorship network of co-authors of Ping Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Ping Huang. A scholar is included among the top collaborators of Ping Huang 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 Ping Huang. Ping Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | {OSCA}: An Online-Model Based Cache Allocation Scheme in Cloud Block Storage Systems | 13 |
| 9 | 3 | |
| 10 | 19 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 12 | |
| 14 | 18 | |
| 15 | FlexECC: partially relaxing ECC of MLC SSD for better cache performance | 32 |
| 16 | 1 | |
| 17 | 7 | |
| 18 | 0 | |
| 19 | 0 | |
| 20 | 24 |
About Ping Huang
Ping Huang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 109 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (65 papers), Caching and Content Delivery (44 papers) and Parallel Computing and Optimization Techniques (28 papers). The work is most often cited by research in Hardware and Architecture (235 citations), Computer Networks and Communications (671 citations) and Computer Vision and Pattern Recognition (327 citations). Ping Huang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xubin He, Ke Zhou, Chien-Ping Chang, Te‐Ming Tu, Ko-Chin Chang, Changsheng Xie, Fei Wu, T.-M. Tu, Bin Cheng and Hua Wang. Their work appears in journals such as Journal of The Electrochemical Society, Scientific Reports and Inorganic Chemistry.
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.