Ding Liu
Impact in
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- Advanced Image Processing Techniques
- Video Surveillance and Tracking Methods
- Image and Signal Denoising Methods
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- Fire Detection and Safety Systems
Papers in
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- Image and Object Detection Techniques 14
- Advanced Vision and Imaging 14
- Co-authors
- Junli Liang (14 shared papers)Han Liu (25 shared papers)Daniel Gildea (6 shared papers)Jing Xin (16 shared papers)Youmin Zhang (12 shared papers)Bihan Wen (2 shared papers)Ying-En Ge (4 shared papers)Yin Wan (19 shared papers)
- Journals
- IEEE Transactions on Semiconductor Manufacturing (7 papers)IEEE Sensors Journal (6 papers)IEEE Transactions on Instrumentation and Measurement (5 papers)Sensors (5 papers)Energies (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ding Liu
232 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 159
- Computer Vision and Pattern Recognition 1.1k
- Safety, Risk, Reliability and Quality 332
- Media Technology 317
- Signal Processing 398
- Industrial and Manufacturing Engineering 323
Countries citing papers authored by Ding Liu
This map shows the geographic impact of Ding 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 Ding Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Liu more than expected).
Fields of papers citing papers by Ding Liu
This network shows the impact of papers produced by Ding 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 Ding Liu. The network helps show where Ding Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ding 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
Showing the 20 most-cited of 263 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 241 | |
| 2 | Non-local recurrent network for image restoration | 2018 | 184 |
| 3 | 2019 | 184 | |
| 4 | 2018 | 158 | |
| 5 | Syntactic Features for Evaluation of Machine Translation | 2005 | 123 |
| 6 | 2018 | 122 | |
| 7 | 2018 | 103 | |
| 8 | 2017 | 91 | |
| 9 | 2017 | 88 | |
| 10 | 2017 | 87 | |
| 11 | 2017 | 73 | |
| 12 | 2022 | 69 | |
| 13 | 2017 | 68 | |
| 14 | Semantic Role Features for Machine Translation | 2010 | 66 |
| 15 | 2020 | 64 | |
| 16 | 2009 | 63 | |
| 17 | 2019 | 62 | |
| 18 | 2023 | 60 | |
| 19 | 2020 | 55 | |
| 20 | 2022 | 51 |
About Ding Liu
Ding Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering and Mechanical Engineering, having authored 263 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced Algorithms and Applications (20 papers), Image Processing Techniques and Applications (17 papers), Robotics and Sensor-Based Localization (16 papers), Fault Detection and Control Systems (15 papers), Solidification and crystal growth phenomena (14 papers), Advanced Control Systems Optimization (14 papers), Image and Object Detection Techniques (14 papers) and Advanced Vision and Imaging (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Safety, Risk, Reliability and Quality (332 citations), Media Technology (317 citations), Signal Processing (398 citations) and Industrial and Manufacturing Engineering (323 citations). Ding Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Junli Liang, Han Liu, Daniel Gildea, Jing Xin, Youmin Zhang, Bihan Wen, Ying-En Ge, Yin Wan, Yingmin Yi and Shuaishuai Lin. Their work appears in journals such as IEEE Transactions on Semiconductor Manufacturing, IEEE Sensors Journal, IEEE Transactions on Instrumentation and Measurement, Sensors and Energies.
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.