Shenghua Cheng
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Media Technology top 10%
- Biomedical Engineering
- Epidemiology
- Co-authors
- Xiuli LiuShaoqun ZengSibo LiuLi ChenJie FengTingwei QuanLean ZhouYang Gao
- Topics
- AI in cancer detection (9 papers)Image Processing Techniques and Applications (6 papers)Cervical Cancer and HPV Research (4 papers)
- Partner nations
- China
In The Last Decade
Shenghua Cheng
14 papers receiving 111 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 54
- Computer Vision and Pattern Recognition 46
- Media Technology 28
- Biomedical Engineering 21
- Epidemiology 20
Countries citing papers authored by Shenghua Cheng
This map shows the geographic impact of Shenghua Cheng'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 Shenghua Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shenghua Cheng more than expected).
Fields of papers citing papers by Shenghua Cheng
This network shows the impact of papers produced by Shenghua Cheng. 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 Shenghua Cheng. The network helps show where Shenghua Cheng may publish in the future.
Co-authorship network of co-authors of Shenghua Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Shenghua Cheng. A scholar is included among the top collaborators of Shenghua Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shenghua Cheng. Shenghua Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 12 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Spatial Features using Deep Learning. | 1 |
| 12 | 11 | |
| 13 | 9 | |
| 14 | 38 | |
| 15 | 8 | |
| 16 | 2 | |
| 17 | 8 |
About Shenghua Cheng
Shenghua Cheng is a scholar working on Health Informatics, Media Technology and Biophysics, having authored 17 papers that have together received 115 indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Image Processing Techniques and Applications (6 papers) and Cervical Cancer and HPV Research (4 papers). The work is most often cited by research in Biophysics (20 citations), Media Technology (28 citations) and Computer Vision and Pattern Recognition (46 citations). Shenghua Cheng has collaborated with scholars based in China. Frequent co-authors include Xiuli Liu, Shaoqun Zeng, Sibo Liu, Li Chen, Jie Feng, Tingwei Quan, Lean Zhou, Yang Gao, Wenjing Xue and Li Chen. Their work appears in journals such as Nature Communications, Environmental Pollution and Frontiers in Immunology.
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.