Ping Chi
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques 11
-
- Advanced Memory and Neural Computing 11
- Ferroelectric and Negative Capacitance Devices 4
-
- Advanced Data Storage Technologies 11
- Distributed systems and fault tolerance 2
- Artificial Intelligence top 5%
- Neural Networks and Reservoir Computing 2
- Machine Learning and ELM 2
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- Gastrointestinal Tumor Research and Treatment 3
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringComputer Vision and Pattern Recognition
- Journals
- Journal of Clinical Oncology (3 papers)Journal of Visualized Experiments (1 paper)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Ping Chi
21 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Hardware and Architecture 357
- Electrical and Electronic Engineering 1.3k
- Computer Vision and Pattern Recognition 366
- Computer Networks and Communications 293
- Artificial Intelligence 366
Countries citing papers authored by Ping Chi
This map shows the geographic impact of Ping Chi'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 Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Chi more than expected).
Fields of papers citing papers by Ping Chi
This network shows the impact of papers produced by Ping Chi. 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 Chi. The network helps show where Ping Chi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ping Chi, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2017 | 12 | |
| 5 | 2017 | 9 | |
| 6 | 2017 | 14 | |
| 7 | 2016 | 35 | |
| 8 | 2016 | 30 | |
| 9 | PRIMEbreakdown → | 2016 | 910 |
| 10 | 2016 | 59 | |
| 11 | 2015 | 13 | |
| 12 | 2015 | 7 | |
| 13 | 2015 | 10 | |
| 14 | 2014 | 17 | |
| 15 | 2014 | 16 | |
| 16 | 2014 | 27 | |
| 17 | 2011 | 3 | |
| 18 | 2011 | 2 | |
| 19 | 2010 | 4 | |
| 20 | 2010 | 1 |
About Ping Chi
Ping Chi is a scholar working on Hardware and Architecture, Gastroenterology and Computer Networks and Communications, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Advanced Memory and Neural Computing (11 papers), Advanced Data Storage Technologies (11 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Gastrointestinal Tumor Research and Treatment (3 papers), Neural Networks and Reservoir Computing (2 papers), Distributed systems and fault tolerance (2 papers) and Machine Learning and ELM (2 papers). The work is most often cited by research in Hardware and Architecture (357 citations), Electrical and Electronic Engineering (1.3k citations) and Computer Vision and Pattern Recognition (366 citations). Ping Chi has collaborated with scholars based in United States, China and France. Frequent co-authors include Yuan Xie, Jishen Zhao, Shuangchen Li, Yu Wang, Tao Zhang, Yongpan Liu, Cong Xu, Shuangchen Li, Wenguang Chen and Peng Qu. Their work appears in journals such as Journal of Clinical Oncology, Journal of Visualized Experiments, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, International Symposium on Microarchitecture and International Conference on Bioinformatics and Biomedical Engineering.
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.