Hai Li
Impact in
- Hardware and Architecture top 0.2%
- Parallel Computing and Optimization Techniques
-
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
Papers in
-
- Parallel Computing and Optimization Techniques 45
-
- Advanced Memory and Neural Computing 203
- Ferroelectric and Negative Capacitance Devices 134
- Semiconductor materials and devices 41
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (13 papers)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (8 papers)IEEE Transactions on Magnetics (6 papers)IEEE Transactions on Circuits and Systems I Regular Papers (5 papers)IEEE Transactions on Computers (5 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Hai Li
441 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Hardware and Architecture 1.9k
- Electrical and Electronic Engineering 6.8k
- Computer Networks and Communications 2.0k
- Artificial Intelligence 2.5k
- Cellular and Molecular Neuroscience 1.2k
Countries citing papers authored by Hai Li
This map shows the geographic impact of Hai Li'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 Hai Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Li more than expected).
Fields of papers citing papers by Hai Li
This network shows the impact of papers produced by Hai Li. 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 Hai Li. The network helps show where Hai Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hai Li, 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 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 11 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 19 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 89 | |
| 13 | 2020 | 40 | |
| 14 | 2020 | 1 | |
| 15 | 2019 | 16 | |
| 16 | 2018 | 4 | |
| 17 | 2017 | 6 | |
| 18 | TernGrad: ternary gradients to reduce communication in distributed deep learning | 2017 | 154 |
| 19 | Faster CNNs with Direct Sparse Convolutions and Guided Pruning | 2016 | 18 |
| 20 | 2003 | 42 |
About Hai Li
Hai Li is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 467 papers that have together received 10.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (203 papers), Ferroelectric and Negative Capacitance Devices (134 papers), Advanced Neural Network Applications (54 papers), Magnetic properties of thin films (46 papers), Parallel Computing and Optimization Techniques (45 papers), Neuroscience and Neural Engineering (42 papers), Semiconductor materials and devices (41 papers) and Advanced Data Storage Technologies (39 papers). The work is most often cited by research in Hardware and Architecture (1.9k citations), Electrical and Electronic Engineering (6.8k citations), Computer Networks and Communications (2.0k citations), Artificial Intelligence (2.5k citations) and Cellular and Molecular Neuroscience (1.2k citations). Hai Li has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Yiran Chen, Linghao Song, Xuehai Qian, Qing Wu, Miao Hu, Kaushik Roy, Garrett S. Rose, Xiuyuan Bi, Wei Wen and Chenchen Liu. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Magnetics, IEEE Transactions on Circuits and Systems I Regular Papers and IEEE Transactions on Computers.
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.