Paishun Ting
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Co-authors
- John P. HayesPin‐Yu ChenShin‐Ming ChengSijia LiuChun‐Chen TuJinfeng YiCho‐Jui HsiehHuan Zhang
- Topics
- Error Correcting Code Techniques (9 papers)Quantum Computing Algorithms and Architecture (6 papers)Wireless Communication Security Techniques (4 papers)
- Journals
- IEEE Communications MagazineIEEE Transactions on Signal and Information Processing over NetworksIET Computers & Digital Techniques
- Partner nations
- United StatesTaiwan
In The Last Decade
Paishun Ting
15 papers receiving 375 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 313
- Computer Networks and Communications 124
- Electrical and Electronic Engineering 102
- Computer Vision and Pattern Recognition 68
- Signal Processing 44
Countries citing papers authored by Paishun Ting
This map shows the geographic impact of Paishun Ting'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 Paishun Ting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paishun Ting more than expected).
Fields of papers citing papers by Paishun Ting
This network shows the impact of papers produced by Paishun Ting. 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 Paishun Ting. The network helps show where Paishun Ting may publish in the future.
Co-authorship network of co-authors of Paishun Ting
This figure shows the co-authorship network connecting the top 25 collaborators of Paishun Ting. A scholar is included among the top collaborators of Paishun Ting 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 Paishun Ting. Paishun Ting is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Design of Sequential Stochastic Computing Systems | 1 |
| 2 | 192 | |
| 3 | 3 | |
| 4 | Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization | 27 |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 13 | |
| 10 | 3 | |
| 11 | 11 | |
| 12 | 38 | |
| 13 | 34 | |
| 14 | 4 | |
| 15 | 36 | |
| 16 | EXACT SOLUTIONS TO MACCARI’S SYSTEM | 5 |
About Paishun Ting
Paishun Ting is a scholar working on Health Informatics, Computer Networks and Communications and Artificial Intelligence, having authored 16 papers that have together received 384 indexed citations. Recurring topics across this work include Error Correcting Code Techniques (9 papers), Quantum Computing Algorithms and Architecture (6 papers) and Wireless Communication Security Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (313 citations), Computer Networks and Communications (124 citations) and Computer Science Applications (26 citations). Paishun Ting has collaborated with scholars based in United States and Taiwan. Frequent co-authors include John P. Hayes, Pin‐Yu Chen, Shin‐Ming Cheng, Sijia Liu, Chun‐Chen Tu, Jinfeng Yi, Cho‐Jui Hsieh, Huan Zhang, Fu-Jen Chu and Bhavya Kailkhura. Their work appears in journals such as IEEE Communications Magazine, IEEE Transactions on Signal and Information Processing over Networks and IET Computers & Digital Techniques.
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.