Jing Pu
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
- Computational Mathematics top 5%
Papers in
-
- Parallel Computing and Optimization Techniques 10
-
- Advanced Memory and Neural Computing 7
- CCD and CMOS Imaging Sensors 3
- VLSI and FPGA Design Techniques 1
- Co-authors
- Mark Horowitz (11 shared papers)William J. Dally (1 shared paper)Song Han (1 shared paper)Xingyu Liu (1 shared paper)Huizi Mao (1 shared paper)Ardavan Pedram (1 shared paper)Xuan Yang (7 shared papers)Christos Kozyrakis (6 shared papers)
- Journals
- PLoS ONE (2 papers)ACM SIGPLAN Notices (1 paper)Advanced materials research (1 paper)ACM Transactions on Architecture and Code Optimization (1 paper)ACM SIGOPS Operating Systems Review (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Jing Pu
15 papers receiving 1.9k citations
Jing Pu's Hit Papers
Peers
Comparison fields: 5 of 72
- Hardware and Architecture 502
- Computational Mathematics 42
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 712
- Electrical and Electronic Engineering 958
Countries citing papers authored by Jing Pu
This map shows the geographic impact of Jing Pu'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 Jing Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Pu more than expected).
Fields of papers citing papers by Jing Pu
This network shows the impact of papers produced by Jing Pu. 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 Jing Pu. The network helps show where Jing Pu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Pu, 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 | EIE Hit paper breakdown → | 2016 | 1292 |
| 2 | TETRIS Hit paper breakdown → | 2017 | 303 |
| 3 | 2019 | 122 | |
| 4 | 2017 | 63 | |
| 5 | 2017 | 41 | |
| 6 | Interstellar | 2020 | 28 |
| 7 | 2017 | 22 | |
| 8 | 2017 | 20 | |
| 9 | 2013 | 20 | |
| 10 | 2016 | 6 | |
| 11 | 2018 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2013 | 1 | |
| 15 | 2025 | 1 | |
| 16 | Task dividable based reservation for grid computing | 2008 | 0 |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Jing Pu
Jing Pu is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications and Pharmacology, having authored 18 papers that have together received 1.9k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Advanced Neural Network Applications (8 papers), Advanced Memory and Neural Computing (7 papers), CCD and CMOS Imaging Sensors (3 papers), Caching and Content Delivery (1 paper), Web Data Mining and Analysis (1 paper), Analytical Chemistry and Sensors (1 paper) and VLSI and FPGA Design Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (502 citations), Computational Mathematics (42 citations), Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (712 citations) and Electrical and Electronic Engineering (958 citations). Jing Pu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Mark Horowitz, William J. Dally, Song Han, Xingyu Liu, Huizi Mao, Ardavan Pedram, Xuan Yang, Christos Kozyrakis, Mingyu Gao and Mingyu Gao. Their work appears in journals such as PLoS ONE, ACM SIGPLAN Notices, Advanced materials research, ACM Transactions on Architecture and Code Optimization and ACM SIGOPS Operating Systems Review.
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.