Dongming Li
- Infectious Diseases top 10%
- Epidemiology
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Lijuan ZhangJohn C. SlatteryXiangyang WangHongying YangXiaoshan LiNing WangLu WangJun Jing
- Topics
- Image and Signal Denoising Methods (8 papers)Advanced Image Fusion Techniques (8 papers)Smart Agriculture and AI (7 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Dongming Li
83 papers receiving 861 citations
Peers
Comparison fields: 5 of 146
- Infectious Diseases 188
- Epidemiology 170
- Computer Vision and Pattern Recognition 157
- Electrical and Electronic Engineering 129
- Radiology, Nuclear Medicine and Imaging 88
Countries citing papers authored by Dongming Li
This map shows the geographic impact of Dongming Li'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 Dongming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongming Li more than expected).
Fields of papers citing papers by Dongming Li
This network shows the impact of papers produced by Dongming Li. 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 Dongming Li. The network helps show where Dongming Li may publish in the future.
Co-authorship network of co-authors of Dongming Li
This figure shows the co-authorship network connecting the top 25 collaborators of Dongming Li. A scholar is included among the top collaborators of Dongming Li 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 Dongming Li. Dongming Li 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 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 0 | |
| 13 | 36 | |
| 14 | 3 | |
| 15 | 29 | |
| 16 | 18 | |
| 17 | 13 | |
| 18 | [Preliminary analyses on bacterial diversity and resistance in infection-related skin disorders]. | 1 |
| 19 | Isolation-based uplink power control for TD-LTE in TV White Space | 1 |
| 20 | Study of algorithms of QRS complexes detection in electrocardiogram signal | 6 |
About Dongming Li
Dongming Li is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Health Informatics, having authored 92 papers that have together received 896 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (8 papers), Advanced Image Fusion Techniques (8 papers) and Smart Agriculture and AI (7 papers). The work is most often cited by research in Virology (55 citations), Infectious Diseases (188 citations) and Computer Vision and Pattern Recognition (157 citations). Dongming Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Lijuan Zhang, John C. Slattery, Xiangyang Wang, Hongying Yang, Xiaoshan Li, Ning Wang, Lu Wang, Jun Jing, Lan Wang and Zunyou Wu. Their work appears in journals such as PLoS ONE, Radiology and International Journal of Molecular Sciences.
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.