Cong Yao
Impact in
-
- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Pollution top 10%
- Heavy metals in environment
Papers in
-
- Handwritten Text Recognition Techniques 7
- Image Retrieval and Classification Techniques 3
- Robotic Path Planning Algorithms 3
- Multimodal Machine Learning Applications 3
-
- Supercapacitor Materials and Fabrication 8
- Co-authors
- Qi Zheng (4 shared papers)Xinlu Li (3 shared papers)Ronghua Wang (3 shared papers)Dingyong Wang (5 shared papers)Yongjian Li (2 shared papers)Cheng Da (2 shared papers)Yongmin Wang (4 shared papers)Caixia Li (2 shared papers)
- Journals
- Robotics and Computer-Integrated Manufacturing (3 papers)Electrochimica Acta (2 papers)The Science of The Total Environment (2 papers)Environmental Research (2 papers)International Journal of Extreme Manufacturing (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Cong Yao
38 papers receiving 605 citations
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 146
- Pollution 70
- Electronic, Optical and Magnetic Materials 96
- Geochemistry and Petrology 20
- Electrical and Electronic Engineering 186
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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 68 | |
| 2 | 2020 | 63 | |
| 3 | 2020 | 49 | |
| 4 | 2023 | 35 | |
| 5 | 2023 | 32 | |
| 6 | 2023 | 32 | |
| 7 | 2024 | 31 | |
| 8 | 2023 | 30 | |
| 9 | 2022 | 29 | |
| 10 | 2022 | 24 | |
| 11 | 2024 | 22 | |
| 12 | 2022 | 21 | |
| 13 | 2024 | 20 | |
| 14 | 2023 | 17 | |
| 15 | 2023 | 17 | |
| 16 | 2023 | 17 | |
| 17 | 2023 | 15 | |
| 18 | 2018 | 11 | |
| 19 | 2017 | 10 | |
| 20 | 2022 | 10 |
About Cong Yao
Cong Yao is a scholar working on Computer Vision and Pattern Recognition, Electronic, Optical and Magnetic Materials, Artificial Intelligence, Pollution and Electrical and Electronic Engineering, having authored 44 papers that have together received 621 indexed citations. Recurring topics across this work include Supercapacitor Materials and Fabrication (8 papers), Advancements in Battery Materials (8 papers), Handwritten Text Recognition Techniques (7 papers), Heavy metals in environment (4 papers), Advanced Battery Materials and Technologies (4 papers), Image Retrieval and Classification Techniques (3 papers), Robotic Path Planning Algorithms (3 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (146 citations), Pollution (70 citations), Electronic, Optical and Magnetic Materials (96 citations), Geochemistry and Petrology (20 citations) and Electrical and Electronic Engineering (186 citations). Cong Yao has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Qi Zheng, Xinlu Li, Ronghua Wang, Dingyong Wang, Yongjian Li, Cheng Da, Yongmin Wang, Caixia Li, Nan Mei and Tuanjie Li. Their work appears in journals such as Robotics and Computer-Integrated Manufacturing, Electrochimica Acta, The Science of The Total Environment, Environmental Research and International Journal of Extreme Manufacturing.
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.