Jinzheng Cai

2.0k total citations
17 papers, 773 citations indexed

About

Jinzheng Cai is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jinzheng Cai has authored 17 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Jinzheng Cai's work include Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (5 papers) and Advanced Neural Network Applications (5 papers). Jinzheng Cai is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (5 papers) and Advanced Neural Network Applications (5 papers). Jinzheng Cai collaborates with scholars based in United States, China and Taiwan. Jinzheng Cai's co-authors include Zizhao Zhang, Lin Yang, Fuyong Xing, Zhuotun Zhu, Alan Yuille, Daguang Xu, Holger R. Roth, Fengze Liu, Lequan Yu and Yingda Xia and has published in prestigious journals such as Clinical Cancer Research, IEEE Transactions on Medical Imaging and Pattern Recognition.

In The Last Decade

Jinzheng Cai

17 papers receiving 764 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinzheng Cai United States 11 408 383 357 101 73 17 773
Adrián Colomer Spain 16 440 1.1× 323 0.8× 293 0.8× 100 1.0× 65 0.9× 56 796
Huangjing Lin Hong Kong 11 468 1.1× 560 1.5× 280 0.8× 69 0.7× 101 1.4× 20 805
Tahir Mahmood South Korea 13 342 0.8× 232 0.6× 192 0.5× 77 0.8× 61 0.8× 30 620
Ruchika Verma United States 10 499 1.2× 583 1.5× 463 1.3× 137 1.4× 73 1.0× 30 1.0k
Shekoofeh Azizi United States 10 333 0.8× 350 0.9× 362 1.0× 97 1.0× 103 1.4× 25 876
Vivek Kumar Singh United States 16 274 0.7× 356 0.9× 225 0.6× 76 0.8× 59 0.8× 45 688
Dimitris Samaras United States 12 427 1.0× 684 1.8× 422 1.2× 60 0.6× 56 0.8× 28 1.0k
Iringo Kovacs Netherlands 5 386 0.9× 538 1.4× 181 0.5× 65 0.6× 109 1.5× 7 762
N. K. Timofeeva Netherlands 4 471 1.2× 717 1.9× 292 0.8× 79 0.8× 106 1.5× 10 963
Xiaowei Ding China 5 441 1.1× 364 1.0× 364 1.0× 114 1.1× 67 0.9× 8 825

Countries citing papers authored by Jinzheng Cai

Since Specialization
Citations

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

Fields of papers citing papers by Jinzheng Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinzheng Cai

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

All Works

17 of 17 papers shown
1.
Cheng, Chi‐Tung, Jinzheng Cai, Wei Teng, et al.. (2022). A flexible three‐dimensional heterophase computed tomography hepatocellular carcinoma detection algorithm for generalizable and practical screening. Hepatology Communications. 6(10). 2901–2913. 6 indexed citations
2.
Cheng, Nai‐Ming, Jiawen Yao, Jinzheng Cai, et al.. (2021). Deep Learning for Fully Automated Prediction of Overall Survival in Patients with Oropharyngeal Cancer Using FDG-PET Imaging. Clinical Cancer Research. 27(14). 3948–3959. 36 indexed citations
3.
Cai, Jinzheng, Youbao Tang, Ke Yan, et al.. (2021). Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies. 15154–15164. 17 indexed citations
4.
Yan, Ke, et al.. (2021). Interpretable Medical Image Classification with Self-Supervised Anatomical Embedding and Prior Knowledge. 1 indexed citations
5.
Xia, Yingda, Dong Yang, Zhiding Yu, et al.. (2020). Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. Medical Image Analysis. 65. 101766–101766. 163 indexed citations
6.
Chen, Pingjun, Jinzheng Cai, & Lin Yang. (2020). Chromosome Segmentation via Data Simulation and Shape Learning. PubMed. 2020. 1637–1640. 5 indexed citations
7.
Yan, Ke, Jinzheng Cai, Adam P. Harrison, et al.. (2020). Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT. IEEE Transactions on Medical Imaging. 40(10). 2759–2770. 43 indexed citations
8.
Xia, Yingda, Fengze Liu, Dong Yang, et al.. (2020). 3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. 3635–3644. 93 indexed citations
9.
Zhang, Zizhao, Pingjun Chen, Mason McGough, et al.. (2019). Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nature Machine Intelligence. 1(6). 289–289. 2 indexed citations
10.
Zhang, Zizhao, Pingjun Chen, Mason McGough, et al.. (2019). Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nature Machine Intelligence. 1(5). 236–245. 189 indexed citations
11.
Zhang, Zizhao, Pingjun Chen, Mason McGough, et al.. (2019). Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nature Machine Intelligence. 1(8). 384–384. 3 indexed citations
12.
Cai, Jinzheng, Zizhao Zhang, Lei Cui, Yefeng Zheng, & Lin Yang. (2018). Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network. Medical Image Analysis. 52. 174–184. 65 indexed citations
13.
Cai, Jinzheng, Fuyong Xing, Abhinandan Batra, et al.. (2018). Texture analysis for muscular dystrophy classification in MRI with improved class activation mapping. Pattern Recognition. 86. 368–375. 41 indexed citations
14.
15.
Shi, Xiaoshuang, Zhenhua Guo, Fuyong Xing, Jinzheng Cai, & Lin Yang. (2018). Self-learning for face clustering. Pattern Recognition. 79. 279–289. 18 indexed citations
16.
Cai, Jinzheng, et al.. (2016). Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks. Lecture notes in computer science. 9901. 442–450. 74 indexed citations
17.
Xing, Fuyong, Xiaoshuang Shi, Zizhao Zhang, et al.. (2016). Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation. Lecture notes in computer science. 9902. 183–190. 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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