Xiaogang Liu
- Health Informatics top 0.5%
- Oncology top 2%
- Colorectal Cancer Screening and Detection 9
- Pancreatic and Hepatic Oncology Research 2
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- Radiomics and Machine Learning in Medical Imaging 3
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- Lung Cancer Diagnosis and Treatment 5
- Gastric Cancer Management and Outcomes 5
- Gastroenterology top 5%
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- Esophageal Cancer Research and Treatment 4
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- Cardiac tumors and thrombi 2
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- AI in cancer detection 2
- Co-authors
- Pu WangPeixi LiuLiangping LiJeremy R. Glissen BrownTyler M. BerzinYan SongXun XiaoMengtian Tu
- Partner nations
- ChinaUnited StatesTürkiye
In The Last Decade
Xiaogang Liu
32 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Health Informatics 185
- Oncology 1.1k
- Radiology, Nuclear Medicine and Imaging 726
- Pulmonary and Respiratory Medicine 647
- Gastroenterology 108
Countries citing papers authored by Xiaogang Liu
This map shows the geographic impact of Xiaogang 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 Xiaogang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaogang Liu more than expected).
Fields of papers citing papers by Xiaogang Liu
This network shows the impact of papers produced by Xiaogang 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 Xiaogang Liu. The network helps show where Xiaogang Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaogang 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 | 1 | |
| 2 | 2024 | 15 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 11 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 1 | |
| 10 | 2020 | 56 | |
| 11 | 2020 | 3 | |
| 12 | 2020 | 7 | |
| 13 | 2020 | 9 | |
| 14 | Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled studybreakdown → | 2019 | 546 |
| 15 | 2019 | 18 | |
| 16 | Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopybreakdown → | 2018 | 318 |
| 17 | 2016 | 4 | |
| 18 | 2015 | 9 | |
| 19 | 2015 | 24 | |
| 20 | 2007 | 11 |
About Xiaogang Liu
Xiaogang Liu is a scholar working on Gastroenterology, Oncology, Pulmonary and Respiratory Medicine, Internal Medicine and Surgery, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (9 papers), Lung Cancer Diagnosis and Treatment (5 papers), Gastric Cancer Management and Outcomes (5 papers), Esophageal Cancer Research and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Cardiac tumors and thrombi (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Health Informatics (185 citations), Oncology (1.1k citations), Radiology, Nuclear Medicine and Imaging (726 citations), Pulmonary and Respiratory Medicine (647 citations) and Gastroenterology (108 citations). Xiaogang Liu has collaborated with scholars based in China, United States and Türkiye. Frequent co-authors include Pu Wang, Peixi Liu, Liangping Li, Jeremy R. Glissen Brown, Tyler M. Berzin, Yan Song, Xun Xiao, Mengtian Tu, Di Zhang and Fei Xiong. Their work appears in journals such as Medicine, Endoscopy, Gastroenterology, Translational Lung Cancer Research and Mycopathologia.
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.