Tianfu Wang

18.2k total citations · 3 hit papers
409 papers, 12.3k citations indexed

About

Tianfu Wang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Tianfu Wang has authored 409 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Computer Vision and Pattern Recognition, 123 papers in Radiology, Nuclear Medicine and Imaging and 112 papers in Artificial Intelligence. Recurrent topics in Tianfu Wang's work include AI in cancer detection (72 papers), Radiomics and Machine Learning in Medical Imaging (45 papers) and Medical Image Segmentation Techniques (38 papers). Tianfu Wang is often cited by papers focused on AI in cancer detection (72 papers), Radiomics and Machine Learning in Medical Imaging (45 papers) and Medical Image Segmentation Techniques (38 papers). Tianfu Wang collaborates with scholars based in China, United States and Hong Kong. Tianfu Wang's co-authors include Baiying Lei, Dong Ni, Siping Chen, Peng Huang, Shengli Li, Jing Lin, Jing Qin, Xin Yang, Feng Zhou and Sheng Wang and has published in prestigious journals such as JAMA, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Tianfu Wang

392 papers receiving 12.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Glucose‐Responsive Sequential Generation of Hydrogen Peroxide and Nitric Oxide for Synergistic Cancer Starving‐Like/Gas Therapy

2016 584 citations Peng Huang, Tianfu Wang et al. profile →
Deep Learning in Medical Ultrasound Analysis: A Review

2019 521 citations Yi Wang, Baiying Lei et al. profile →
A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images

2015 423 citations Tianfu Wang et al. IEEE Transactions on Medical Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tianfu Wang China	57	3.3k	3.3k	3.2k	2.8k	1.1k	409	12.3k
Jianhua Yao United States	50	4.5k 1.4×	3.3k 1.0×	2.1k 0.7×	2.6k 0.9×	535 0.5×	377	12.7k
Jing Qin China	59	4.1k 1.2×	4.5k 1.4×	2.1k 0.7×	5.2k 1.8×	478 0.4×	527	15.6k
Guang Yang United Kingdom	55	4.7k 1.4×	1.7k 0.5×	2.0k 0.6×	2.5k 0.9×	494 0.4×	449	11.3k
Ayman El‐Baz United States	52	4.3k 1.3×	1.9k 0.6×	1.5k 0.5×	1.8k 0.7×	239 0.2×	665	11.4k
Abhishek Das United States	19	2.5k 0.7×	6.1k 1.9×	952 0.3×	5.7k 2.0×	827 0.7×	29	14.3k
Daniel L. Rubin United States	63	8.2k 2.5×	5.9k 1.8×	1.7k 0.5×	2.2k 0.8×	272 0.2×	366	15.9k
Guang‐Zhong Yang United Kingdom	68	4.0k 1.2×	2.5k 0.7×	11.7k 3.7×	5.6k 2.0×	316 0.3×	824	27.2k
Jiang Liu China	53	5.7k 1.7×	955 0.3×	1.6k 0.5×	3.3k 1.2×	230 0.2×	728	12.7k
Kaori Togashi Japan	68	7.8k 2.4×	1.1k 0.3×	1.8k 0.6×	754 0.3×	652 0.6×	561	20.1k
Hiroshi Ishikawa Japan	76	5.9k 1.8×	652 0.2×	3.8k 1.2×	3.1k 1.1×	3.4k 3.1×	1.1k	25.1k

Countries citing papers authored by Tianfu Wang

Since Specialization

Citations

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

Fields of papers citing papers by Tianfu Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianfu Wang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhou, Tianwei, et al.. (2025). FedPDN: Personalized Federated Learning With Interclass Similarity Constraint for Medical Image Classification Through Parameter Decoupling. IEEE Transactions on Instrumentation and Measurement. 74. 1–13. 2 indexed citations

Zhang, Chun, Xiuxing Liu, Yuehan Gao, et al.. (2024). An aging-related immune landscape in the hematopoietic immune system. Immunity & Ageing. 21(1). 3–3. 27 indexed citations

Wang, Yi, et al.. (2024). Efficient hydraulic and thermal simulation model of the multi-phase natural gas production system with variable speed compressors. Applied Thermal Engineering. 242. 122411–122411. 41 indexed citations

Lei, Baiying, Wanyi Fu, Peng Yang, et al.. (2024). Alzheimer’s disease diagnosis from multi-modal data via feature inductive learning and dual multilevel graph neural network. Medical Image Analysis. 97. 103213–103213. 19 indexed citations

Yue, Guanghui, Shaoping Zhang, Tianwei Zhou, et al.. (2024). Pyramid Network With Quality-Aware Contrastive Loss for Retinal Image Quality Assessment. IEEE Transactions on Medical Imaging. 44(3). 1416–1431. 3 indexed citations

Yue, Guanghui, et al.. (2023). Boundary uncertainty aware network for automated polyp segmentation. Neural Networks. 170. 390–404. 33 indexed citations

Li, Huilin, Yongjian Deng, Tianfu Wang, et al.. (2023). [Danshenxinkun B protects human umbilical vein endothelial cells against ox-LDL-induced injury by inhibiting pyroptosis and the NF-κB/NLRP3 pathway].. PubMed. 43(8). 1425–1431. 1 indexed citations

Yang, Peng, Feng Zhou, Guanghui Yue, et al.. (2023). MHW-GAN: Multidiscriminator Hierarchical Wavelet Generative Adversarial Network for Multimodal Image Fusion. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 13713–13727. 8 indexed citations

Du, Jie, et al.. (2023). Coarse-Refined Consistency Learning Using Pixel-Level Features for Semi-Supervised Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 27(8). 3970–3981. 10 indexed citations

10.

Du, Jie, et al.. (2022). Boundary-Sensitive Loss Function With Location Constraint for Hard Region Segmentation. IEEE Journal of Biomedical and Health Informatics. 27(2). 992–1003. 13 indexed citations

11.

Yue, Guanghui, et al.. (2022). Boundary Constraint Network With Cross Layer Feature Integration for Polyp Segmentation. IEEE Journal of Biomedical and Health Informatics. 26(8). 4090–4099. 77 indexed citations

12.

Du, Jie, et al.. (2020). AIDAN: An Attention-Guided Dual-Path Network for Pediatric Echocardiography Segmentation. IEEE Access. 8. 29176–29187. 22 indexed citations

13.

Song, Xuegang, Feng Zhou, Alejandro F. Frangi, et al.. (2020). Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction. Medical Image Analysis. 69. 101947–101947. 83 indexed citations

14.

Lei, Baiying, Alejandro F. Frangi, E.C. Tan, et al.. (2020). Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease. Medical Image Analysis. 61. 101652–101652. 61 indexed citations

15.

Lei, Baiying, Feng Jiang, Xudong Jiang, et al.. (2020). Skin lesion segmentation via generative adversarial networks with dual discriminators. Medical Image Analysis. 64. 101716–101716. 193 indexed citations

16.

Zhang, Yifan, Shaowei Bo, Tao Feng, et al.. (2019). A Versatile Theranostic Nanoemulsion for Architecture‐Dependent Multimodal Imaging and Dually Augmented Photodynamic Therapy. Advanced Materials. 31(21). e1806444–e1806444. 137 indexed citations

17.

Wang, Tianfu, Zhiwei Huang, Niu Huang, et al.. (2019). Inhibition of KPNB1 Inhibits Proliferation and Promotes Apoptosis of Chronic Myeloid Leukemia Cells Through Regulation of E2F1. SHILAP Revista de lepidopterología. 1 indexed citations

18.

Zhang, Xinyu, Qingmin Wang, Zhen Lyu, et al.. (2018). Noninvasive assessment of age-related stiffness of crystalline lenses in a rabbit model using ultrasound elastography. BioMedical Engineering OnLine. 17(1). 75–75. 32 indexed citations

19.

Li, Jing, Yi Wang, Baiying Lei, et al.. (2017). Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting. IEEE Journal of Biomedical and Health Informatics. 22(1). 215–223. 72 indexed citations

20.

Lu, Minhua, et al.. (2012). Quantitative Imaging of Young’s Modulus of Soft Tissues from Ultrasound Water Jet Indentation: A Finite Element Study. Computational and Mathematical Methods in Medicine. 2012. 1–6. 7 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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