Junhan Zhao

1.4k total citations
52 papers, 632 citations indexed

About

Junhan Zhao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Junhan Zhao has authored 52 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 8 papers in Molecular Biology. Recurrent topics in Junhan Zhao's work include AI in cancer detection (7 papers), Data Visualization and Analytics (6 papers) and Cardiac pacing and defibrillation studies (5 papers). Junhan Zhao is often cited by papers focused on AI in cancer detection (7 papers), Data Visualization and Analytics (6 papers) and Cardiac pacing and defibrillation studies (5 papers). Junhan Zhao collaborates with scholars based in United States, China and United Kingdom. Junhan Zhao's co-authors include Marc‐Olivier Baradez, Nico Forraz, Randall J. Urban, Larry Denner, Colin McGuckin, Richard C. Tilton, Yangyang He, Zhi‐Cheng Jing, Jue Ye and Yi Yan and has published in prestigious journals such as Nature Communications, IEEE Transactions on Image Processing and Science Advances.

In The Last Decade

Junhan Zhao

42 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junhan Zhao United States 13 215 129 127 116 94 52 632
Chun Gui China 16 328 1.5× 55 0.4× 143 1.1× 224 1.9× 190 2.0× 56 808
Mai Kimura Japan 13 243 1.1× 119 0.9× 162 1.3× 18 0.2× 103 1.1× 47 756
Yu‐Hsuan Chen Taiwan 15 104 0.5× 296 2.3× 68 0.5× 33 0.3× 135 1.4× 42 840
Yanan Lu China 16 234 1.1× 166 1.3× 49 0.4× 35 0.3× 94 1.0× 64 675
Vanathi Gopalakrishnan United States 18 455 2.1× 66 0.5× 40 0.3× 58 0.5× 47 0.5× 52 1.0k
Ming Feng China 17 220 1.0× 52 0.4× 25 0.2× 49 0.4× 100 1.1× 71 714
Wenhua Zhu China 18 395 1.8× 35 0.3× 107 0.8× 75 0.6× 58 0.6× 79 964
Matthias Lutz Germany 15 470 2.2× 114 0.9× 434 3.4× 31 0.3× 237 2.5× 66 1.1k
Jianbing Zhu China 16 355 1.7× 84 0.7× 124 1.0× 14 0.1× 81 0.9× 59 847
Jinyuan He China 15 88 0.4× 108 0.8× 77 0.6× 13 0.1× 41 0.4× 45 573

Countries citing papers authored by Junhan Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Junhan Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junhan Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Junhan Zhao. A scholar is included among the top collaborators of Junhan Zhao 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 Junhan Zhao. Junhan Zhao 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.
Yang, Sen, Jinxi Xiang, Xiyue Wang, et al.. (2025). Toward General-Purpose Video Reconstruction Through Synergy of Grid-Splicing Diffusion and Large Language Models. IEEE Transactions on Circuits and Systems for Video Technology. 36(2). 1328–1340.
2.
Ge, Yongxin, et al.. (2025). Counterfactual Bidirectional Co-Attention Transformer for Integrative Histology-Genomic Cancer Risk Stratification. IEEE Journal of Biomedical and Health Informatics. 29(8). 5862–5874. 5 indexed citations
3.
Zhao, Junhan, Jian Wang, Xiyue Wang, et al.. (2025). Accelerometer-measured multidimensional physical activity patterns and physical functional decline: a prospective national cohort study of aging. The Journals of Gerontology Series A. 80(8).
4.
Li, Jinyang, et al.. (2025). Active learning in computational pathology with noise detection empowered by loss-based prior and feature analysis. Biomedical Signal Processing and Control. 108. 107953–107953. 1 indexed citations
5.
Wang, Kanran, et al.. (2025). Association of whole grain food consumption with lung cancer risk: a prospective cohort study. Cancer Cell International. 25(1). 14–14. 2 indexed citations
6.
Zhao, Junhan, et al.. (2025). Beyond the Clock: Exploring Multimodal Behavior Markers of Mild Cognitive Impairment in Older Adults during Clock Drawing Test. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 9(4). 1–30.
7.
Ge, Yongxin, et al.. (2025). Rethinking Copy-Paste for Consistency Learning in Medical Image Segmentation. IEEE Transactions on Image Processing. 34. 1060–1074. 6 indexed citations
8.
9.
Wang, Xiyue, Jinxi Xiang, Sen Yang, et al.. (2024). Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading. Computational and Structural Biotechnology Journal. 23. 1439–1449. 9 indexed citations
10.
Gao, Xiang, et al.. (2024). Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 1824–1832.
11.
Ren, Jie, Junhan Zhao, Jing Wang, et al.. (2024). Transcoronary Study of Biomarkers in Patients with Heart Failure: Insights Into Intracardiac Production. ESC Heart Failure. 12(3). 1640–1651.
12.
Zhao, Junhan, Yiming Cui, Yuning Mao, et al.. (2024). M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. 3723–3740. 17 indexed citations
13.
Zhao, Junhan, Xiyue Wang, Junyou Zhu, et al.. (2023). PhaseFIT: live-organoid phase-fluorescent image transformation via generative AI. Light Science & Applications. 12(1). 297–297. 10 indexed citations
14.
15.
Zhao, Junhan, Xi Liu, Jing Wang, et al.. (2023). Metabolomics Profiling Predicts Ventricular Arrhythmia in Patients with an Implantable Cardioverter Defibrillator. Journal of Cardiovascular Translational Research. 17(1). 91–101. 2 indexed citations
16.
Nasrallah, MacLean P., Junhan Zhao, David M. Meredith, et al.. (2023). Machine learning for cryosection pathology predicts the 2021 WHO classification of glioma. Med. 4(8). 526–540.e4. 30 indexed citations
17.
Liu, Xi, Hongxia Niu, Min Gu, et al.. (2021). Contrast-enhanced image-guided lead deployment for left bundle branch pacing. Heart Rhythm. 18(8). 1318–1325. 37 indexed citations
18.
He, Yangyang, Yi Yan, Xin Jiang, et al.. (2020). Spermine promotes pulmonary vascular remodelling and its synthase is a therapeutic target for pulmonary arterial hypertension. European Respiratory Journal. 56(5). 2000522–2000522. 47 indexed citations
19.
Hu, Yiran, Junhan Zhao, Jing Wang, et al.. (2020). Comprehensive Plasma Metabolites Profiling Reveals Phosphatidylcholine Species as Potential Predictors for Cardiac Resynchronization Therapy Response. ESC Heart Failure. 8(1). 280–290. 7 indexed citations
20.
Zhao, Junhan, Yvonne Bodenburg, Colin McGuckin, et al.. (2009). Oct‐4A isoform is expressed in human cord blood‐derived CD133 stem cells and differentiated progeny. Cell Proliferation. 42(3). 265–275. 5 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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