Yang Liu
Impact in
- Software top 0.05%
- Software Testing and Debugging Techniques
- Signal Processing top 0.05%
- Advanced Malware Detection Techniques
Papers in
- Software 180
- Software Testing and Debugging Techniques 133
-
- Topic Modeling 271
- Natural Language Processing Techniques 228
- Adversarial Robustness in Machine Learning 79
- Speech and dialogue systems 66
- Journals
- IEEE Transactions on Software Engineering (29 papers)IEEE Transactions on Information Forensics and Security (22 papers)ACM Transactions on Software Engineering and Methodology (22 papers)IEEE Access (13 papers)IEEE Transactions on Dependable and Secure Computing (9 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Yang Liu
1.6k papers receiving 29.3k citations
Hit Papers
Peers
Comparison fields: 5 of 226
- Software 3.7k
- Signal Processing 4.7k
- Artificial Intelligence 13.3k
- Information Systems 6.5k
- Computer Vision and Pattern Recognition 5.2k
Countries citing papers authored by Yang Liu
This map shows the geographic impact of Yang Liu'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 Yang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Liu more than expected).
Fields of papers citing papers by Yang Liu
This network shows the impact of papers produced by Yang Liu. 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 Yang Liu. The network helps show where Yang Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Liu, 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 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 10 | |
| 11 | 2023 | 17 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 19 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 0 | |
| 17 | 2022 | 5 | |
| 18 | 2021 | 3 | |
| 19 | 2012 | 4 | |
| 20 | 2010 | 15 |
About Yang Liu
Yang Liu is a scholar working on Software, Artificial Intelligence, Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 1.7k papers that have together received 30.5k indexed citations. Recurring topics across this work include Topic Modeling (271 papers), Natural Language Processing Techniques (228 papers), Advanced Malware Detection Techniques (179 papers), Software Testing and Debugging Techniques (133 papers), Software Engineering Research (126 papers), Adversarial Robustness in Machine Learning (79 papers), Network Security and Intrusion Detection (76 papers) and Speech and dialogue systems (66 papers). The work is most often cited by research in Software (3.7k citations), Signal Processing (4.7k citations), Artificial Intelligence (13.3k citations), Information Systems (6.5k citations) and Computer Vision and Pattern Recognition (5.2k citations). Yang Liu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Mirella Lapata, Lei Ma, Xiaofei Xie, Guozhu Meng, Bihuan Chen, Jun Sun, Maosong Sun, Felix Juefei-Xu, Sen Chen and K.C. Leong. Their work appears in journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Information Forensics and Security, ACM Transactions on Software Engineering and Methodology, IEEE Access and IEEE Transactions on Dependable and Secure Computing.
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.