Cong Yao
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Video Analysis and Summarization
- Media Technology top 0.05%
- Vehicle License Plate Recognition
Papers in
-
- Handwritten Text Recognition Techniques 41
- Image Retrieval and Classification Techniques 22
- Advanced Image and Video Retrieval Techniques 20
- Image Processing and 3D Reconstruction 18
- Medical Image Segmentation Techniques 6
-
- Natural Language Processing Techniques 12
- Co-authors
- Xiang Bai (30 shared papers)Baoguang Shi (7 shared papers)Pengyuan Lyu (5 shared papers)Wenyu Liu (9 shared papers)Minghui Liao (8 shared papers)Xinggang Wang (8 shared papers)Zhaoyi Wan (6 shared papers)Wenhao Wu (3 shared papers)
- Journals
- Journal of Neural Transmission (5 papers)Journal of Affective Disorders (4 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)Pattern Recognition (4 papers)IEEE Transactions on Image Processing (3 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Cong Yao
82 papers receiving 8.3k citations
Cong Yao's Hit Papers
Peers
Comparison fields: 5 of 159
- Computer Vision and Pattern Recognition 7.6k
- Media Technology 3.1k
- Artificial Intelligence 1.7k
- Human-Computer Interaction 230
- Signal Processing 304
Countries citing papers authored by Cong Yao
This map shows the geographic impact of Cong Yao'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 Cong Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Yao more than expected).
Fields of papers citing papers by Cong Yao
This network shows the impact of papers produced by Cong Yao. 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 Cong Yao. The network helps show where Cong Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Yao, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition Hit paper breakdown → | 2016 | 2080 |
| 2 | ASTER: An Attentional Scene Text Recognizer with Flexible Rectification Hit paper breakdown → | 2018 | 602 |
| 3 | Detecting texts of arbitrary orientations in natural images Hit paper breakdown → | 2012 | 573 |
| 4 | Real-Time Scene Text Detection with Differentiable Binarization Hit paper breakdown → | 2020 | 512 |
| 5 | Robust Scene Text Recognition with Automatic Rectification Hit paper breakdown → | 2016 | 458 |
| 6 | TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes Hit paper breakdown → | 2018 | 423 |
| 7 | Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes Hit paper breakdown → | 2018 | 366 |
| 8 | Scene text detection and recognition: recent advances and future trends Hit paper breakdown → | 2015 | 305 |
| 9 | Scene Text Detection and Recognition: The Deep Learning Era Hit paper breakdown → | 2020 | 270 |
| 10 | 2014 | 259 | |
| 11 | Real-Time Scene Text Detection With Differentiable Binarization and Adaptive Scale Fusion Hit paper breakdown → | 2022 | 231 |
| 12 | 2014 | 231 | |
| 13 | 2015 | 211 | |
| 14 | 2019 | 186 | |
| 15 | 2019 | 174 | |
| 16 | 2019 | 171 | |
| 17 | 2019 | 113 | |
| 18 | 2016 | 111 | |
| 19 | 2015 | 103 | |
| 20 | 2020 | 101 |
About Cong Yao
Cong Yao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Psychiatry and Mental health and Biomedical Engineering, having authored 90 papers that have together received 8.6k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (41 papers), Image Retrieval and Classification Techniques (22 papers), Advanced Image and Video Retrieval Techniques (20 papers), Image Processing and 3D Reconstruction (18 papers), Natural Language Processing Techniques (12 papers), Vehicle License Plate Recognition (11 papers), Medical Image Segmentation Techniques (6 papers) and Schizophrenia research and treatment (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (7.6k citations), Media Technology (3.1k citations), Artificial Intelligence (1.7k citations), Human-Computer Interaction (230 citations) and Signal Processing (304 citations). Cong Yao has collaborated with scholars based in China, United States and India. Frequent co-authors include Xiang Bai, Baoguang Shi, Pengyuan Lyu, Wenyu Liu, Minghui Liao, Xinggang Wang, Zhaoyi Wan, Wenhao Wu, Xin He and Shangbang Long. Their work appears in journals such as Journal of Neural Transmission, Journal of Affective Disorders, IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition 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.