Qianli Ma
- Signal Processing top 1%
- Time Series Analysis and Forecasting 31
- Music and Audio Processing 8
- Artificial Intelligence top 1%
- Topic Modeling 16
- Anomaly Detection Techniques and Applications 14
- Neural Networks and Applications 14
- Neural Networks and Reservoir Computing 11
- Sentiment Analysis and Opinion Mining 8
- Computational Mechanics top 2%
- 3D Shape Modeling and Analysis 9
- Co-authors
- Zhiwen YuYifan ShiWenming CaoDong XibinMichael J. BlackGarrison W. CottrellJinlong YangLifeng Shen
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (7 papers)Information Sciences (6 papers)Neurocomputing (6 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qianli Ma
97 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Computer Graphics and Computer-Aided Design 249
- Signal Processing 496
- Artificial Intelligence 1.4k
- Computer Vision and Pattern Recognition 757
- Computational Mechanics 482
Countries citing papers authored by Qianli Ma
This map shows the geographic impact of Qianli Ma'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 Qianli Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qianli Ma more than expected).
Fields of papers citing papers by Qianli Ma
This network shows the impact of papers produced by Qianli Ma. 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 Qianli Ma. The network helps show where Qianli Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qianli Ma, 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 | 2024 | 1 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 24 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 2 | |
| 12 | Generating Person-Scene Interactions in 3D Scenes. | 2020 | 2 |
| 13 | 2020 | 19 | |
| 14 | Learning Representations for Time Series Clustering | 2019 | 57 |
| 15 | Dressing 3D Humans using a Conditional Mesh-VAE-GAN. | 2019 | 6 |
| 16 | End-to-End Time Series Imputation via Residual Short Paths | 2018 | 10 |
| 17 | 2012 | 1 | |
| 18 | Signal Filtering EEG Data in Matlab Simulation Design Analysis | 2011 | 1 |
| 19 | Automatic detection of positioning line in contactless overhead contact system | 2010 | 1 |
| 20 | Target Distance Computing Based on Parallel Binocular Stereo Vision | 2009 | 1 |
About Qianli Ma
Qianli Ma is a scholar working on Signal Processing, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 101 papers that have together received 3.2k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (31 papers), Topic Modeling (16 papers), Anomaly Detection Techniques and Applications (14 papers), Neural Networks and Applications (14 papers), Neural Networks and Reservoir Computing (11 papers), 3D Shape Modeling and Analysis (9 papers), Sentiment Analysis and Opinion Mining (8 papers) and Music and Audio Processing (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (249 citations), Signal Processing (496 citations) and Artificial Intelligence (1.4k citations). Qianli Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhiwen Yu, Yifan Shi, Wenming Cao, Dong Xibin, Michael J. Black, Garrison W. Cottrell, Jinlong Yang, Lifeng Shen, Siyu Tang and Sen Li. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Information Sciences, Neurocomputing, IEEE Access and IEEE Transactions on Neural Networks and Learning Systems.
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.