Tian‐wu Chen

1.7k total citations
108 papers, 1.2k citations indexed

About

Tian‐wu Chen is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Tian‐wu Chen has authored 108 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Surgery, 47 papers in Radiology, Nuclear Medicine and Imaging and 29 papers in Epidemiology. Recurrent topics in Tian‐wu Chen's work include Radiomics and Machine Learning in Medical Imaging (28 papers), Liver Disease Diagnosis and Treatment (26 papers) and MRI in cancer diagnosis (23 papers). Tian‐wu Chen is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (28 papers), Liver Disease Diagnosis and Treatment (26 papers) and MRI in cancer diagnosis (23 papers). Tian‐wu Chen collaborates with scholars based in China, United States and Australia. Tian‐wu Chen's co-authors include Zhi‐gang Yang, Xiao Ming Zhang, Rui Li, Jiani Hu, Huijiao Chen, Yong Chen, Jin Yao, Changqiang Wu, Qiling Wang and Jing Ou and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Tian‐wu Chen

104 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tian‐wu Chen China 19 562 516 283 256 222 108 1.2k
Guido Bonomo Italy 21 479 0.9× 328 0.6× 600 2.1× 346 1.4× 224 1.0× 78 1.6k
Raghunandan Vikram United States 23 660 1.2× 406 0.8× 852 3.0× 219 0.9× 94 0.4× 60 1.8k
Vincenzo David Italy 18 390 0.7× 289 0.6× 239 0.8× 219 0.9× 194 0.9× 65 1.1k
Chandana Lall United States 18 475 0.8× 297 0.6× 319 1.1× 292 1.1× 158 0.7× 75 1.1k
Michael T. Corwin United States 21 746 1.3× 506 1.0× 479 1.7× 94 0.4× 272 1.2× 97 1.6k
G. Lechner Austria 23 841 1.5× 281 0.5× 546 1.9× 249 1.0× 114 0.5× 85 1.4k
Roberto Iezzi Italy 24 681 1.2× 441 0.9× 1.0k 3.6× 215 0.8× 320 1.4× 181 2.1k
Gianpaolo Carrafiello Italy 23 671 1.2× 187 0.4× 1.0k 3.6× 201 0.8× 110 0.5× 96 1.6k
Vamsidhar R. Narra United States 20 576 1.0× 495 1.0× 276 1.0× 96 0.4× 100 0.5× 37 1.3k
Vittorio Pedicini Italy 19 546 1.0× 137 0.3× 450 1.6× 314 1.2× 165 0.7× 65 1.3k

Countries citing papers authored by Tian‐wu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tian‐wu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tian‐wu Chen. 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 Tian‐wu Chen. The network helps show where Tian‐wu Chen may publish in the future.

Co-authorship network of co-authors of Tian‐wu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Tian‐wu Chen. A scholar is included among the top collaborators of Tian‐wu Chen 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 Tian‐wu Chen. Tian‐wu Chen 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.
Liu, Xiaoyu, Pei Yu, Tian‐wu Chen, et al.. (2025). Microplastics, plastics, and their products exposures and cancer: a pooled analysis. International Journal of Surgery. 111(8). 5593–5605. 1 indexed citations
2.
Lai, Qi, Weijuan Chen, X. X. Ding, et al.. (2024). Quality control of elbow joint radiography using a YOLOv8-based artificial intelligence technology. European Radiology Experimental. 8(1). 107–107. 1 indexed citations
3.
Chen, Tian‐wu, et al.. (2024). A Systematic Review and Meta-Analysis of MRI Radiomics for PredictingMicrovascular Invasion in Patients with Hepatocellular Carcinoma. Current Medical Imaging Formerly Current Medical Imaging Reviews. 20. e15734056256824–e15734056256824. 3 indexed citations
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Huang, Kaifeng, HE Xiao-jing, Tian‐wu Chen, et al.. (2023). Diagnostic Accuracy of Liver and Spleen Stiffness in Magnetic Resonance Elastography for the Detection of Gastroesophageal Varices: A Systematic Review and Meta-Analysis. Diagnostics. 13(23). 3527–3527. 3 indexed citations
7.
Zhou, Haiying, et al.. (2023). Whole-tumor histogram analysis of apparent diffusion coefficients for predicting lymphovascular space invasion in stage IB-IIA cervical cancer. Frontiers in Oncology. 13. 1206659–1206659. 2 indexed citations
8.
Zhou, Haiying, Wenwen Guo, Jing Ou, et al.. (2023). A CT-based novel model to predict pathological complete response of locally advanced esophageal squamous cell carcinoma to neoadjuvant PD-1 blockade in combination with chemotherapy. European Journal of Radiology. 167. 111065–111065. 1 indexed citations
9.
Li, Yong, Jialong Wu, Ting Zhou, et al.. (2022). Radiomics models based on multi-sequence MRI for preoperative evaluation of MUC4 status in pancreatic ductal adenocarcinoma: a preliminary study. Quantitative Imaging in Medicine and Surgery. 12(11). 5129–5139. 5 indexed citations
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Zhou, Ting, Jialong Wu, Yong Chen, et al.. (2021). Radiomics Model Based on MR Images to Discriminate Pancreatic Ductal Adenocarcinoma and Mass-Forming Chronic Pancreatitis Lesions. Frontiers in Oncology. 11. 620981–620981. 23 indexed citations
13.
Chen, Yanli, Yu Jiang, Tian‐wu Chen, et al.. (2019). Assessing Microcirculation in Resectable Oesophageal Squamous Cell Carcinoma with Dynamic Contrast-enhanced MRI for Identifying Primary tumour and Lymphatic Metastasis. Scientific Reports. 9(1). 124–124. 5 indexed citations
14.
Chen, Tian‐wu, et al.. (2015). Application of flash dual-source CT at low radiation dose and low contrast medium dose in triple-rule-out (tro) examination.. PubMed Central. 8(11). 21898–905. 3 indexed citations
15.
Zhang, Xiao Ming, et al.. (2015). Various diffusion magnetic resonance imaging techniques for pancreatic cancer. World Journal of Radiology. 7(12). 424–424. 11 indexed citations
16.
Li, Xinghui, Qi Liang, Ling Zhuang, et al.. (2015). Preliminary Study of MR Diffusion Tensor Imaging of the Liver for the Diagnosis of Hepatocellular Carcinoma. PLoS ONE. 10(8). e0135568–e0135568. 15 indexed citations
17.
Zhou, Haiying, et al.. (2014). Patterns of portosystemic collaterals and diameters of portal venous system in cirrhotic patients with hepatitis B on magnetic resonance imaging: Association with Child-Pugh classifications. Clinics and Research in Hepatology and Gastroenterology. 39(3). 351–358. 12 indexed citations
18.
Dong, Zhihui, et al.. (2011). Earthquake-related injuries: Evaluation with multidetector computed tomography and digital radiography of 1491 patients. Journal of Critical Care. 27(1). 103.e1–103.e6. 11 indexed citations
19.
Chu, Zhi‐gang, et al.. (2010). Features of cranio-maxillofacial trauma in the massive Sichuan earthquake: Analysis of 221 cases with multi-detector row CT. Journal of Cranio-Maxillofacial Surgery. 39(7). 503–508. 9 indexed citations
20.
Li, Yuan, et al.. (2007). Peripheral lung carcinoma: Correlation of angiogenesis and first-pass perfusion parameters of 64-detector row CT. Lung Cancer. 61(1). 44–53. 79 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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