Xiaogang Dong
- Molecular Biology
- Cancer Research
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Oncology
- Co-authors
- Jian ShenXiaoqin ZhongYan HanYun ZhouJing YeJianping ZhangXiaojun YangXin Wang
- Topics
- IoT and Edge/Fog Computing (7 papers)MicroRNA in disease regulation (5 papers)Metaheuristic Optimization Algorithms Research (5 papers)
- Cited by
- Cancer ResearchHepatologyBiophysics
- Journals
- Scientific ReportsIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image Processing
- Partner nations
- ChinaUnited StatesKuwait
In The Last Decade
Xiaogang Dong
51 papers receiving 514 citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 144
- Cancer Research 110
- Artificial Intelligence 85
- Computer Vision and Pattern Recognition 62
- Oncology 59
Countries citing papers authored by Xiaogang Dong
This map shows the geographic impact of Xiaogang Dong'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 Xiaogang Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaogang Dong more than expected).
Fields of papers citing papers by Xiaogang Dong
This network shows the impact of papers produced by Xiaogang Dong. 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 Xiaogang Dong. The network helps show where Xiaogang Dong may publish in the future.
Co-authorship network of co-authors of Xiaogang Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaogang Dong. A scholar is included among the top collaborators of Xiaogang Dong 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 Xiaogang Dong. Xiaogang Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 24 | |
| 9 | 4 | |
| 10 | 30 | |
| 11 | 4 | |
| 12 | 10 | |
| 13 | 14 | |
| 14 | 4 | |
| 15 | 12 | |
| 16 | 29 | |
| 17 | Detection of methylation of p16 and RASSF1A gene in plasma and tumor tissues from patients with hepatocellular carcinoma and its clinical significance | 1 |
| 18 | SparkDE: 一种基于RDD云计算模型的并行差分进化算法 (SparkDE: A Parallel Version of Differential Evolution Based on Resilient Distributed Datasets Model in Cloud Computing). | 1 |
| 19 | 9 | |
| 20 | 36 |
About Xiaogang Dong
Xiaogang Dong is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 60 papers that have together received 531 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), MicroRNA in disease regulation (5 papers) and Metaheuristic Optimization Algorithms Research (5 papers). The work is most often cited by research in Cancer Research (110 citations), Hepatology (53 citations) and Biophysics (31 citations). Xiaogang Dong has collaborated with scholars based in China, United States and Kuwait. Frequent co-authors include Jian Shen, Xiaoqin Zhong, Yan Han, Yun Zhou, Jing Ye, Jianping Zhang, Xiaojun Yang, Xin Wang, Huiling Chen and Yanan Zhang. Their work appears in journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing 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.