Jinzhuo Wang

633 total citations
34 papers, 299 citations indexed

About

Jinzhuo Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Jinzhuo Wang has authored 34 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 7 papers in Biomedical Engineering. Recurrent topics in Jinzhuo Wang's work include Human Pose and Action Recognition (8 papers), Advanced Vision and Imaging (6 papers) and Video Surveillance and Tracking Methods (5 papers). Jinzhuo Wang is often cited by papers focused on Human Pose and Action Recognition (8 papers), Advanced Vision and Imaging (6 papers) and Video Surveillance and Tracking Methods (5 papers). Jinzhuo Wang collaborates with scholars based in China, Hong Kong and Macao. Jinzhuo Wang's co-authors include Wenmin Wang, Wen Gao, Ronggang Wang, Yuxing Lu, Rui Peng, Shaotong Zhang, Shenglian Yao, Wei Wu, Zhihao Li and Nannan Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Jinzhuo Wang

31 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinzhuo Wang China 11 174 85 51 27 25 34 299
Xingyi Yang China 10 138 0.8× 96 1.1× 74 1.5× 25 0.9× 16 0.6× 26 353
Zhezhou Yu China 7 155 0.9× 94 1.1× 22 0.4× 60 2.2× 8 0.3× 22 279
Aamir Wali Pakistan 8 70 0.4× 79 0.9× 31 0.6× 32 1.2× 6 0.2× 34 211
M. Ramya India 9 65 0.4× 56 0.7× 30 0.6× 61 2.3× 9 0.4× 51 246
Zhongyu Li China 8 216 1.2× 159 1.9× 25 0.5× 54 2.0× 20 0.8× 23 354
Kai Han China 9 174 1.0× 121 1.4× 44 0.9× 110 4.1× 17 0.7× 20 350
Veenu Rani India 5 55 0.3× 65 0.8× 49 1.0× 20 0.7× 8 0.3× 8 191
Subhashis Banerjee India 13 246 1.4× 82 1.0× 38 0.7× 84 3.1× 6 0.2× 35 366
S. Kumarganesh India 9 86 0.5× 60 0.7× 68 1.3× 33 1.2× 25 1.0× 28 263

Countries citing papers authored by Jinzhuo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jinzhuo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinzhuo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jinzhuo Wang. A scholar is included among the top collaborators of Jinzhuo 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 Jinzhuo Wang. Jinzhuo 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
1.
Lu, Yuxing, Yunfang Yu, Bojiang Chen, et al.. (2025). AI-enabled molecular phenotyping and prognostic predictions in lung cancer through multimodal clinical information integration. Cell Reports Medicine. 6(7). 102216–102216. 2 indexed citations
2.
Jiang, Yi, Haitao Sun, Zisheng Luo, Jinzhuo Wang, & Rui Xiao. (2025). Efficacy of a deep learning system for automatic analysis of the comprehensive spatial relationship between the mandibular third molar and inferior alveolar canal on panoramic radiographs. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 139(5). 612–622.
3.
Qi, Juntian, et al.. (2025). Interpretable niche-based cell‒cell communication inference using multi-view graph neural networks. Nature Computational Science. 5(6). 444–455. 1 indexed citations
4.
Sun, He & Jinzhuo Wang. (2025). Computational biomedical imaging: AI innovations and pitfalls. SHILAP Revista de lepidopterología. 2(2). 100081–100081. 2 indexed citations
5.
6.
Wang, Jinzhuo, Yuanxu Gao, Fangfei Wang, et al.. (2024). Accurate estimation of biological age and its application in disease prediction using a multimodal image Transformer system. Proceedings of the National Academy of Sciences. 121(3). e2308812120–e2308812120. 12 indexed citations
7.
8.
Jiang, Zhuoran, Bao Jin, Zhu Liang, et al.. (2024). Liver bioprinting within a novel support medium with functionalized spheroids, hepatic vein structures, and enhanced post-transplantation vascularization. Biomaterials. 311. 122681–122681. 18 indexed citations
9.
Wan, Ji, Shenglian Yao, Yuxing Lu, et al.. (2024). Millimeter-scale magnetic implants paired with a fully integrated wearable device for wireless biophysical and biochemical sensing. Science Advances. 10(12). eadm9314–eadm9314. 28 indexed citations
10.
Wang, Jinzhuo, et al.. (2023). Recent advances of Transformers in medical image analysis: A comprehensive review. SHILAP Revista de lepidopterología. 2(1). 29 indexed citations
11.
Lu, Yuxing, et al.. (2023). Multiomics dynamic learning enables personalized diagnosis and prognosis for pancancer and cancer subtypes. Briefings in Bioinformatics. 24(6). 13 indexed citations
12.
Zhang, Wenwei, et al.. (2020). More Information Supervised Probabilistic Deep Face Embedding Learning. International Conference on Machine Learning. 1. 4484–4494. 1 indexed citations
13.
Wang, Jinzhuo, Wenmin Wang, & Wen Gao. (2018). Beyond Knowledge Distillation: Collaborative Learning for Bidirectional Model Assistance. IEEE Access. 6. 39490–39500. 8 indexed citations
14.
Wang, Jinzhuo, Wenmin Wang, & Wen Gao. (2018). Predicting Diverse Future Frames With Local Transformation-Guided Masking. IEEE Transactions on Circuits and Systems for Video Technology. 29(12). 3531–3543. 8 indexed citations
15.
Wang, Jinzhuo, Wenmin Wang, Ronggang Wang, & Wen Gao. (2017). Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 5 indexed citations
16.
Wang, Wenmin, et al.. (2017). Video Imagination from a Single Image with Transformation Generation. 358–366. 25 indexed citations
17.
Wang, Wenmin, et al.. (2017). Long-term video interpolation with bidirectional predictive network. 1–4. 5 indexed citations
18.
Wang, Jinzhuo, et al.. (2016). Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition. Neural Information Processing Systems. 29. 811–819. 18 indexed citations
19.
Wang, Jinzhuo, Wenmin Wang, Ronggang Wang, & Wen Gao. (2016). CSPS: An Adaptive Pooling Method for Image Classification. IEEE Transactions on Multimedia. 18(6). 1000–1010. 28 indexed citations
20.
Li, Zhihao, Wenmin Wang, Nannan Li, & Jinzhuo Wang. (2016). Tube ConvNets: Better exploiting motion for action recognition. 96. 3056–3060. 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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