Xiaofan Cheng
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Topics
- Advanced Data and IoT Technologies (3 papers)AI in cancer detection (2 papers)COVID-19 diagnosis using AI (2 papers)
In The Last Decade
Xiaofan Cheng
8 papers receiving 544 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Electrical and Electronic Engineering 226
- Artificial Intelligence 198
- Computer Networks and Communications 138
- Computer Vision and Pattern Recognition 107
- Information Systems 90
Countries citing papers authored by Xiaofan Cheng
This map shows the geographic impact of Xiaofan 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 Xiaofan Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofan Cheng more than expected).
Fields of papers citing papers by Xiaofan Cheng
This network shows the impact of papers produced by Xiaofan 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 Xiaofan Cheng. The network helps show where Xiaofan Cheng may publish in the future.
Co-authorship network of co-authors of Xiaofan Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofan Cheng. A scholar is included among the top collaborators of Xiaofan 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 Xiaofan Cheng. Xiaofan 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 | 2 | |
| 2 | 2 | |
| 3 | 116 | |
| 4 | Deep-Learning-Empowered Breast Cancer Auxiliary Diagnosis for 5GB Remote E-Healthbreakdown → | 200 |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 117 | |
| 8 | 130 |
About Xiaofan Cheng
Xiaofan Cheng is a scholar working on Periodontics, Transportation and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 580 indexed citations. Recurring topics across this work include Advanced Data and IoT Technologies (3 papers), AI in cancer detection (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Health Informatics (16 citations), Artificial Intelligence (198 citations) and Computer Networks and Communications (138 citations). Xiaofan Cheng has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Liang Tan, Keping Yu, Long Lin, Gautam Srivastava, Yi Zhang, Takuro Sato, Wei Wei, Jerry Chun‐Wei Lin, Ali Kashif Bashir and Liang Zhao. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Wireless Communications and Neural Computing and Applications.
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.