Ding Liang
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
- Video Surveillance and Tracking Methods
- Image Enhancement Techniques
- Media Technology top 0.2%
- Remote-Sensing Image Classification
Papers in
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- Advanced Neural Network Applications 10
- Context-Aware Activity Recognition Systems 5
- Face and Expression Recognition 4
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- Domain Adaptation and Few-Shot Learning 8
- Co-authors
- Ping Luo (6 shared papers)Enze Xie (6 shared papers)Wenhai Wang (5 shared papers)Xiang Li (3 shared papers)Tong Lü (3 shared papers)Kaitao Song (2 shared papers)Ling Shao (2 shared papers)Deng-Ping Fan (2 shared papers)
In The Last Decade
Ding Liang
30 papers receiving 5.7k citations
Ding Liang's Hit Papers
Peers
Comparison fields: 5 of 157
- Computer Vision and Pattern Recognition 3.8k
- Media Technology 1.0k
- Artificial Intelligence 1.4k
- Neurology 238
- Industrial and Manufacturing Engineering 285
Countries citing papers authored by Ding Liang
This map shows the geographic impact of Ding Liang'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 Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Liang more than expected).
Fields of papers citing papers by Ding Liang
This network shows the impact of papers produced by Ding Liang. 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 Liang. The network helps show where Ding Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ding Liang, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Hit paper breakdown → | 2021 | 3156 |
| 2 | PVT v2: Improved baselines with pyramid vision transformer Hit paper breakdown → | 2022 | 1359 |
| 3 | PolarMask: Single Shot Instance Segmentation With Polar Representation Hit paper breakdown → | 2020 | 443 |
| 4 | 2020 | 200 | |
| 5 | 2019 | 103 | |
| 6 | 2021 | 88 | |
| 7 | 2021 | 73 | |
| 8 | 2023 | 70 | |
| 9 | 2012 | 47 | |
| 10 | 2019 | 35 | |
| 11 | 2020 | 28 | |
| 12 | 2009 | 26 | |
| 13 | 2011 | 24 | |
| 14 | 2019 | 20 | |
| 15 | 2007 | 17 | |
| 16 | 2007 | 13 | |
| 17 | 2024 | 11 | |
| 18 | 2013 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2020 | 10 |
About Ding Liang
Ding Liang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Biomedical Engineering and Electrical and Electronic Engineering, having authored 40 papers that have together received 5.8k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), Energy Efficient Wireless Sensor Networks (9 papers), Domain Adaptation and Few-Shot Learning (8 papers), Context-Aware Activity Recognition Systems (5 papers), Face and Expression Recognition (4 papers), Balance, Gait, and Falls Prevention (4 papers), Security in Wireless Sensor Networks (4 papers) and Distributed Sensor Networks and Detection Algorithms (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.8k citations), Media Technology (1.0k citations), Artificial Intelligence (1.4k citations), Neurology (238 citations) and Industrial and Manufacturing Engineering (285 citations). Ding Liang has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Ping Luo, Enze Xie, Wenhai Wang, Xiang Li, Tong Lü, Kaitao Song, Ling Shao, Deng-Ping Fan, Xuebo Liu and Peize Sun. Their work appears in journals such as Sensors, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Pattern Analysis and Machine Intelligence, Bio-Medical Materials and Engineering and IEEE Transactions on Image Processing.
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.