Ding Li
- Software top 10%
- Signal Processing top 10%
- Advanced Malware Detection Techniques 9
- Information Systems top 10%
- Artificial Intelligence top 10%
- Security and Verification in Computing 6
- Quantum Computing Algorithms and Architecture 4
- Quantum Information and Cryptography 4
- Adversarial Robustness in Machine Learning 3
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- GaN-based semiconductor devices and materials 8
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- Semiconductor Quantum Structures and Devices 4
- Quantum Mechanics and Applications 4
- Co-authors
- Xiangjun XinYingjun LyuWilliam G. J. HalfondVijay K. DhirX. DingChaoyang LiTorsten JeinschHaoyu Wang
- Journals
- ACM Transactions on Software Engineering and Methodology (3 papers)Quantum Information Processing (3 papers)Applied Physics Letters (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ding Li
39 papers receiving 301 citations
Peers
Comparison fields: 5 of 48
- Software 33
- Signal Processing 55
- Information Systems 90
- Artificial Intelligence 108
- Computer Networks and Communications 74
Countries citing papers authored by Ding Li
This map shows the geographic impact of Ding 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 Ding Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Li more than expected).
Fields of papers citing papers by Ding Li
This network shows the impact of papers produced by Ding 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 Ding Li. The network helps show where Ding Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ding 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 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 34 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 7 | |
| 13 | 2021 | 20 | |
| 14 | 2015 | 36 | |
| 15 | 2015 | 5 | |
| 16 | 2014 | 6 | |
| 17 | 2014 | 11 | |
| 18 | Study on Photosynthesis Characteristics of Dipsacus asper in Diferent Habitats | 2011 | 0 |
| 19 | 2009 | 1 | |
| 20 | 2007 | 8 |
About Ding Li
Ding Li is a scholar working on Signal Processing, Software, Condensed Matter Physics, Artificial Intelligence and Information Systems, having authored 45 papers that have together received 311 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (9 papers), GaN-based semiconductor devices and materials (8 papers), Security and Verification in Computing (6 papers), Quantum Computing Algorithms and Architecture (4 papers), Semiconductor Quantum Structures and Devices (4 papers), Quantum Mechanics and Applications (4 papers), Quantum Information and Cryptography (4 papers) and Adversarial Robustness in Machine Learning (3 papers). The work is most often cited by research in Software (33 citations), Signal Processing (55 citations), Information Systems (90 citations), Artificial Intelligence (108 citations) and Computer Networks and Communications (74 citations). Ding Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiangjun Xin, Yingjun Lyu, William G. J. Halfond, Vijay K. Dhir, X. Ding, Chaoyang Li, Torsten Jeinsch, Haoyu Wang, Yao Guo and Xiangqun Chen. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, Quantum Information Processing, Applied Physics Letters, IEEE Transactions on Dependable and Secure Computing and Optics Express.
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.