Longzhong Liu
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis 10
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- Radiomics and Machine Learning in Medical Imaging 14
- MRI in cancer diagnosis 5
- Health Informatics top 5%
- Artificial Intelligence top 5%
- AI in cancer detection 18
- Otorhinolaryngology top 5%
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- Thyroid Cancer Diagnosis and Treatment 8
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- Medical Image Segmentation Techniques 5
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- Ultrasound and Hyperthermia Applications 5
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- Thyroid and Parathyroid Surgery 4
- Co-authors
- Qinghua HuangXuelong LiYaozhong LuoYongdong ChenDacheng TaoXiao‐Qing PeiAn-Hua LiCailu Song
- Journals
- European Radiology (3 papers)British Journal of Radiology (3 papers)Neurocomputing (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Longzhong Liu
42 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 111
- Hepatology 201
- Radiology, Nuclear Medicine and Imaging 506
- Health Informatics 27
- Artificial Intelligence 414
- Otorhinolaryngology 54
Countries citing papers authored by Longzhong Liu
This map shows the geographic impact of Longzhong 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 Longzhong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longzhong Liu more than expected).
Fields of papers citing papers by Longzhong Liu
This network shows the impact of papers produced by Longzhong 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 Longzhong Liu. The network helps show where Longzhong Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Longzhong Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 19 | |
| 4 | 2024 | 25 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 50 | |
| 7 | 2023 | 41 | |
| 8 | 2023 | 37 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 0 | |
| 12 | 2022 | 15 | |
| 13 | 2021 | 52 | |
| 14 | 2021 | 8 | |
| 15 | 2018 | 60 | |
| 16 | 2016 | 13 | |
| 17 | 2014 | 25 | |
| 18 | 2011 | 1 | |
| 19 | 2011 | 29 | |
| 20 | 2008 | 20 |
About Longzhong Liu
Longzhong Liu is a scholar working on Health Informatics, Computational Mathematics and Hepatology, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include AI in cancer detection (18 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Thyroid Cancer Diagnosis and Treatment (8 papers), MRI in cancer diagnosis (5 papers), Medical Image Segmentation Techniques (5 papers), Ultrasound and Hyperthermia Applications (5 papers) and Thyroid and Parathyroid Surgery (4 papers). The work is most often cited by research in Hepatology (201 citations), Radiology, Nuclear Medicine and Imaging (506 citations) and Health Informatics (27 citations). Longzhong Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qinghua Huang, Xuelong Li, Yaozhong Luo, Yongdong Chen, Dacheng Tao, Xiao‐Qing Pei, An-Hua Li, Cailu Song, Zhenkun Lu and Hailin Tang. Their work appears in journals such as European Radiology, British Journal of Radiology, Neurocomputing, Expert Systems with Applications and European Journal of Radiology.
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.