Tingwei Wang

844 total citations
59 papers, 531 citations indexed

About

Tingwei Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tingwei Wang has authored 59 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Pulmonary and Respiratory Medicine and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tingwei Wang's work include Radiomics and Machine Learning in Medical Imaging (15 papers), Lung Cancer Diagnosis and Treatment (8 papers) and COVID-19 diagnosis using AI (4 papers). Tingwei Wang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), Lung Cancer Diagnosis and Treatment (8 papers) and COVID-19 diagnosis using AI (4 papers). Tingwei Wang collaborates with scholars based in China, Taiwan and United States. Tingwei Wang's co-authors include Yu‐Te Wu, Jian Ji, Hang Xiao, Jun Wang, Yongli Ye, Hwa‐Yen Chiu, Xiulan Sun, Yuh‐Min Chen, Heng‐Sheng Chao and Jia-Sheng Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Environmental Pollution.

In The Last Decade

Tingwei Wang

52 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tingwei Wang China 15 115 100 69 52 49 59 531
Hongmei Zhu China 15 179 1.6× 37 0.4× 52 0.8× 48 0.9× 34 0.7× 59 752
Yuri Kitamura Japan 17 89 0.8× 53 0.5× 42 0.6× 26 0.5× 108 2.2× 67 723
Ye Wu China 18 196 1.7× 405 4.0× 48 0.7× 67 1.3× 24 0.5× 107 1.0k
Bei Pei China 14 197 1.7× 35 0.3× 52 0.8× 20 0.4× 27 0.6× 53 658
Aaron S. Coyner United States 12 81 0.7× 241 2.4× 76 1.1× 38 0.7× 27 0.6× 36 424
Parminder Singh Reel United Kingdom 8 304 2.6× 67 0.7× 66 1.0× 11 0.2× 60 1.2× 16 649
Masaaki Omura Japan 13 45 0.4× 210 2.1× 22 0.3× 48 0.9× 26 0.5× 63 509
Yixiao Zhang China 13 289 2.5× 91 0.9× 65 0.9× 11 0.2× 73 1.5× 42 948
Zongyao Li China 13 37 0.3× 113 1.1× 73 1.1× 63 1.2× 30 0.6× 46 698

Countries citing papers authored by Tingwei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tingwei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingwei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tingwei Wang. A scholar is included among the top collaborators of Tingwei Wang 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 Tingwei Wang. Tingwei Wang 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
2.
Pan, Ruirong, et al.. (2024). Association of atherogenic index of plasma and triglyceride glucose-body mass index and sarcopenia in adults from 20 to 59: a cross-sectional study. Frontiers in Endocrinology. 15. 1437379–1437379. 8 indexed citations
3.
Wang, Tingwei, et al.. (2024). Deep Learning Models for Aorta Segmentation in Computed Tomography Images: A Systematic Review And Meta-Analysis. Journal of Medical and Biological Engineering. 44(4). 489–498. 5 indexed citations
4.
Wang, Tingwei, et al.. (2024). Deep Learning for Nasopharyngeal Carcinoma Segmentation in Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis. Bioengineering. 11(5). 504–504. 3 indexed citations
5.
6.
Chiu, Hwa‐Yen, Tingwei Wang, Heng‐Sheng Chao, et al.. (2024). Progress in Serial Imaging for Prognostic Stratification of Lung Cancer Patients Receiving Immunotherapy: A Systematic Review and Meta-Analysis. Cancers. 16(3). 615–615. 3 indexed citations
8.
Ye, Yongli, Tingwei Wang, Jian Ji, et al.. (2024). Bifidobacterium breve alleviates gut-liver-axis injury caused by high-fat diet and aflatoxin B 1 in mice. Food Science and Human Wellness. 14(2). 9250039–9250039. 1 indexed citations
9.
Ye, Yongli, et al.. (2024). Antibiotic altered liver damage induced by aflatoxin B1 exposure in mice by modulating the gut microbiota. Environmental Pollution. 343. 123291–123291. 10 indexed citations
10.
Wang, Tingwei, et al.. (2024). Systematic review and meta-analysis of deep learning applications in computed tomography lung cancer segmentation. Radiotherapy and Oncology. 197. 110344–110344. 11 indexed citations
11.
Wang, Tingwei, Wei‐Kai Lee, Hao‐Min Cheng, et al.. (2024). Artificial Intelligence Detection and Segmentation Models: A Systematic Review and Meta-Analysis of Brain Tumors in Magnetic Resonance Imaging. SHILAP Revista de lepidopterología. 2(1). 75–91. 8 indexed citations
13.
Chen, Yuh‐Min, Yu‐Te Wu, Heng‐Sheng Chao, et al.. (2024). Personalized prediction of immunotherapy response in lung cancer patients using advanced radiomics and deep learning. Cancer Imaging. 24(1). 129–129. 9 indexed citations
14.
Chen, Ying, et al.. (2023). Predictors of long-term decannulation in patients with disorders of consciousness. Frontiers in Neurology. 14. 1099307–1099307. 1 indexed citations
15.
Wang, Tingwei, Wei‐Kai Lee, Hung-Chuan Pan, et al.. (2023). Brain metastasis tumor segmentation and detection using deep learning algorithms: A systematic review and meta-analysis. Radiotherapy and Oncology. 190. 110007–110007. 21 indexed citations
16.
Lu, Chia‐Feng, Heng‐Sheng Chao, Hwa‐Yen Chiu, et al.. (2023). A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer. Cancer Imaging. 23(1). 9–9. 17 indexed citations
17.
Wang, Tingwei, Yongli Ye, Jian Ji, et al.. (2022). Diet composition affects long-term zearalenone exposure on the gut–blood–liver axis metabolic dysfunction in mice. Ecotoxicology and Environmental Safety. 236. 113466–113466. 32 indexed citations
18.
Wu, Shang Wei, Yang Yang, Tingwei Wang, et al.. (2021). Effects of acid, alkaline, cold, and heat environmental stresses on the antibiotic resistance of the Salmonella enterica serovar Typhimurium. Food Research International. 144. 110359–110359. 15 indexed citations
19.
Yao, Jiaxi, Hai‐Hua Lu, Zhonghe Wang, et al.. (2018). A sensitive method for the determination of the gender difference of neuroactive metabolites in tryptophan and dopamine pathways in mouse serum and brain by UHPLC-MS/MS. Journal of Chromatography B. 1093-1094. 91–99. 15 indexed citations
20.
Wang, Tingwei, Cui-Wei Xie, Jingying Zhu, et al.. (2017). Involvement of Insulin Signaling Disturbances in Bisphenol A-Induced Alzheimer’s Disease-like Neurotoxicity. Scientific Reports. 7(1). 7497–7497. 64 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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