Danqing Hu

783 total citations
26 papers, 538 citations indexed

About

Danqing Hu is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Danqing Hu has authored 26 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Danqing Hu's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Machine Learning in Healthcare (7 papers) and Lung Cancer Diagnosis and Treatment (7 papers). Danqing Hu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Machine Learning in Healthcare (7 papers) and Lung Cancer Diagnosis and Treatment (7 papers). Danqing Hu collaborates with scholars based in China, United States and Hong Kong. Danqing Hu's co-authors include Xun Hu, Hao Wu, Ju-Jun Xie, Chunyan Dai, Zonghui Ding, Xudong Lü, Qiangrong Pan, Nan Wu, Yan Luo and Feifei Sun and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Environmental Research and Public Health.

In The Last Decade

Danqing Hu

22 papers receiving 529 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Danqing Hu China 11 266 175 123 79 46 26 538
Xiujing He China 15 297 1.1× 112 0.6× 57 0.5× 75 0.9× 105 2.3× 31 782
Joshua E. Lewis United States 10 277 1.0× 115 0.7× 73 0.6× 86 1.1× 35 0.8× 24 485
Kaihong Liu United States 11 220 0.8× 95 0.5× 89 0.7× 47 0.6× 51 1.1× 14 557
Jing Jing China 14 346 1.3× 168 1.0× 62 0.5× 96 1.2× 327 7.1× 41 922
Yijun Tang China 11 241 0.9× 138 0.8× 45 0.4× 71 0.9× 78 1.7× 26 466
Jiangming Sun Sweden 16 414 1.6× 48 0.3× 33 0.3× 32 0.4× 31 0.7× 51 750
Kübra Karagoz United States 14 496 1.9× 250 1.4× 44 0.4× 46 0.6× 117 2.5× 25 685
Tejal Patel United States 9 191 0.7× 141 0.8× 58 0.5× 69 0.9× 217 4.7× 15 571
Kuan-Song Wang China 10 175 0.7× 72 0.4× 68 0.6× 65 0.8× 93 2.0× 13 336
Vasileios Stathias United States 10 388 1.5× 93 0.5× 31 0.3× 39 0.5× 85 1.8× 21 644

Countries citing papers authored by Danqing Hu

Since Specialization
Citations

This map shows the geographic impact of Danqing Hu'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 Danqing Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danqing Hu more than expected).

Fields of papers citing papers by Danqing Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danqing Hu. 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 Danqing Hu. The network helps show where Danqing Hu may publish in the future.

Co-authorship network of co-authors of Danqing Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Danqing Hu. A scholar is included among the top collaborators of Danqing Hu 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 Danqing Hu. Danqing Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hu, Danqing, et al.. (2025). Large Language Models in Summarizing Radiology Report Impressions for Lung Cancer in Chinese: Evaluation Study. Journal of Medical Internet Research. 27. e65547–e65547. 6 indexed citations
2.
Hao, Yongchen, Jun Liu, Na Yang, et al.. (2025). Percutaneous coronary intervention in patients with acute coronary syndromes and increased platelet count. Archives of cardiovascular diseases. 118(5). 304–311. 2 indexed citations
3.
Hu, Danqing, Yan Zhang, Yue Zhang, Yu Liu, & Jing Han. (2024). The relationship between social support and erectile dysfunction in middle-aged and older males. Frontiers in Public Health. 12. 1332561–1332561.
4.
Ye, Yicong, Yongchen Hao, Xiliang Zhao, et al.. (2023). Percutaneous Coronary Intervention in Acute Coronary Syndrome with Mild-to-Moderate Thrombocytopenia. Thrombosis and Haemostasis. 125(3). 218–229.
5.
Hu, Danqing, Bing Liu, Xiaofeng Zhu, Xudong Lü, & Nan Wu. (2023). Zero-shot information extraction from radiological reports using ChatGPT. International Journal of Medical Informatics. 183. 105321–105321. 44 indexed citations
7.
Hu, Danqing, Yongchen Hao, Jun Liu, et al.. (2022). Inter-hospital transfer in patients with acute myocardial infarction in China: Findings from the improving care for cardiovascular disease in China-acute coronary syndrome project. Frontiers in Cardiovascular Medicine. 9. 1064690–1064690. 3 indexed citations
8.
Sun, Zhaoqing, Yongchen Hao, Jun Liu, et al.. (2022). Prevalence, awareness, treatment, and control rates of hypertension in patients hospitalized with atrial fibrillation in China: Findings from the CCC-AF project. Frontiers in Cardiovascular Medicine. 9. 970787–970787. 2 indexed citations
9.
Hu, Danqing, et al.. (2022). An ensemble learning with active sampling to predict the prognosis of postoperative non-small cell lung cancer patients. BMC Medical Informatics and Decision Making. 22(1). 245–245. 4 indexed citations
12.
Hu, Danqing, et al.. (2021). A novel deep learning approach to extract Chinese clinical entities for lung cancer screening and staging. BMC Medical Informatics and Decision Making. 21(S2). 214–214. 15 indexed citations
13.
Chen, Yani, et al.. (2021). Automatic SNOMED CT coding of Chinese clinical terms via attention-based semantic matching. International Journal of Medical Informatics. 159. 104676–104676. 6 indexed citations
14.
Hu, Danqing, et al.. (2021). Automatic Extraction of Lung Cancer Staging Information From Computed Tomography Reports: Deep Learning Approach. JMIR Medical Informatics. 9(7). e27955–e27955. 24 indexed citations
15.
Hu, Danqing, Shaolei Li, Zhengxing Huang, Nan Wu, & Xudong Lü. (2020). Predicting postoperative non-small cell lung cancer prognosis via long short-term relational regularization. Artificial Intelligence in Medicine. 107. 101921–101921. 10 indexed citations
16.
Hu, Danqing, Wei Dong, Xudong Lü, et al.. (2019). Evidential MACE prediction of acute coronary syndrome using electronic health records. BMC Medical Informatics and Decision Making. 19(S2). 61–61. 21 indexed citations
17.
Xie, Ju-Jun, Hao Wu, Chunyan Dai, et al.. (2014). Beyond Warburg effect – dual metabolic nature of cancer cells. Scientific Reports. 4(1). 4927–4927. 171 indexed citations
18.
Wu, Hao, Ju-Jun Xie, Qiangrong Pan, et al.. (2013). Anticancer Agent Shikonin Is an Incompetent Inducer of Cancer Drug Resistance. PLoS ONE. 8(1). e52706–e52706. 50 indexed citations
19.
Wu, Hao, Zonghui Ding, Danqing Hu, et al.. (2011). Central role of lactic acidosis in cancer cell resistance to glucose deprivation‐induced cell death. The Journal of Pathology. 227(2). 189–199. 109 indexed citations
20.
Hu, Danqing, et al.. (1990). PYRAMID SPECTRAL ANALYSIS OF NARROW-BAND SIGNAL. Le Journal de Physique Colloques. 51(C2). C2–737. 6 indexed citations

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.

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