Jingtao Li
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- Energy Harvesting in Wireless Networks 5
- Advanced Memory and Neural Computing 4
- Advanced Wireless Communication Technologies 4
- Wireless Communication Security Techniques 3
- Artificial Intelligence top 10%
- Adversarial Robustness in Machine Learning 5
- Hardware and Architecture top 10%
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- Advanced Surface Polishing Techniques 4
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- 2D Materials and Applications 4
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- Advanced Neural Network Applications 4
- Co-authors
- Chaitali ChakrabartiAdnan Siraj RakinZhezhi HeDeliang FanShi LiuSai XuHaiding SunC. G. Torres Castanedo
- Cited by
- Electronic, Optical and Magnetic MaterialsElectrical and Electronic EngineeringArtificial Intelligence
- Journals
- Journal of Alloys and Compounds (2 papers)IEEE Systems Journal (2 papers)Applied Physics Letters (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jingtao Li
49 papers receiving 683 citations
Peers
Comparison fields: 5 of 77
- Electronic, Optical and Magnetic Materials 122
- Electrical and Electronic Engineering 294
- Artificial Intelligence 154
- Condensed Matter Physics 54
- Hardware and Architecture 30
Countries citing papers authored by Jingtao Li
This map shows the geographic impact of Jingtao 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 Jingtao Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingtao Li more than expected).
Fields of papers citing papers by Jingtao Li
This network shows the impact of papers produced by Jingtao 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 Jingtao Li. The network helps show where Jingtao Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jingtao 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 4 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2021 | 24 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 44 | |
| 13 | 2019 | 18 | |
| 14 | 2019 | 40 | |
| 15 | 2018 | 2 | |
| 16 | 2017 | 43 | |
| 17 | 2017 | 1 | |
| 18 | 2017 | 88 | |
| 19 | 2015 | 4 | |
| 20 | 2007 | 25 |
About Jingtao Li
Jingtao Li is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Biomedical Engineering, having authored 56 papers that have together received 702 indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (5 papers), Adversarial Robustness in Machine Learning (5 papers), Advanced Memory and Neural Computing (4 papers), Advanced Wireless Communication Technologies (4 papers), Advanced Surface Polishing Techniques (4 papers), 2D Materials and Applications (4 papers), Advanced Neural Network Applications (4 papers) and Wireless Communication Security Techniques (3 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (122 citations), Electrical and Electronic Engineering (294 citations) and Artificial Intelligence (154 citations). Jingtao Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chaitali Chakrabarti, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Shi Liu, Sai Xu, Haiding Sun, C. G. Torres Castanedo, Xinwei Liu and Xiaohang Li. Their work appears in journals such as Journal of Alloys and Compounds, IEEE Systems Journal, Applied Physics Letters, International Journal of Precision Engineering and Manufacturing and IEEE Communications Letters.
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.