Hong Liu
- Computer Vision and Pattern Recognition top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Biomedical Engineering top 2%
- Artificial Intelligence top 1%
- Radiation top 1%
- Topics
- Advanced X-ray and CT Imaging (64 papers)Advanced X-ray Imaging Techniques (48 papers)Medical Imaging Techniques and Applications (40 papers)
- Journals
- Nucleic Acids ResearchJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaCanada
In The Last Decade
Hong Liu
251 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Computer Vision and Pattern Recognition 1.6k
- Radiology, Nuclear Medicine and Imaging 1.5k
- Biomedical Engineering 1.5k
- Artificial Intelligence 1.2k
- Radiation 659
Countries citing papers authored by Hong Liu
This map shows the geographic impact of Hong Liu'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 Hong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Liu more than expected).
Fields of papers citing papers by Hong Liu
This network shows the impact of papers produced by Hong Liu. 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 Hong Liu. The network helps show where Hong Liu may publish in the future.
Co-authorship network of co-authors of Hong Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Hong Liu. A scholar is included among the top collaborators of Hong Liu 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 Hong Liu. Hong Liu 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 | 2 | |
| 3 | 19 | |
| 4 | 10 | |
| 5 | Attention-guided CNN for image denoisingbreakdown → | 459 |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 29 | |
| 9 | 5 | |
| 10 | 57 | |
| 11 | 19 | |
| 12 | Speech emotion recognition algorithm based on modified SVM | 1 |
| 13 | 4 | |
| 14 | 8 | |
| 15 | An Image Shape Feature Retrieve Based on Distributing | 1 |
| 16 | 32 | |
| 17 | 35 | |
| 18 | Auto-generating Examination Papers Based on Integer Coding and Adaptive Genetic Algorithm | 4 |
| 19 | Part-of -speech Tagging in Corpus-based Bilingual Dictionary Compilation | 1 |
| 20 | Studies on Seed Selection and Kinetic Model of Microorganism Enzymatic Steroid Transformation Using Computer Image Texture Analysis Technique | 1 |
About Hong Liu
Hong Liu is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 262 papers that have together received 4.7k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (64 papers), Advanced X-ray Imaging Techniques (48 papers) and Medical Imaging Techniques and Applications (40 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Radiation (659 citations) and Radiology, Nuclear Medicine and Imaging (1.5k citations). Hong Liu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Xizeng Wu, Bin Zheng, Mengyuan Liu, Chen Chen, Yuchen Qiu, Lunke Fei, Wangmeng Zuo, Yong Xu, Chunwei Tian and Zuoyong Li. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.