Junhan Zhao

42 papers receiving 607 citations

Peers

Junhan Zhao
Comparison fields: 5 of 110
  • Genetics 116
  • Cardiology and Cardiovascular Medicine 127
  • Health Informatics 6
  • Biophysics 25
  • Developmental Neuroscience 18
Replace Vanathi Gopalakrishnan with:
Vanathi Gopalakrishnan United States
Jianbing Zhu China
Martino Bosco Italy
Xiang Ji China
Olivier Basset France
Xiliang Zhu China
Liwei Jia United States
Mai Kimura Japan
Jaewon Lee South Korea
Junhan Zhao relative to Vanathi Gopalakrishnan United States Vanathi Gopalakrishnan's profile →
Citations per field
00.5×
Vanathi Gopalakrishnan · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Junhan Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junhan Zhao Line = papers co-authored together Junhan Zhao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005149
2 202059
3 202047
4 202137
5 201831
6 202330
7 202327
8 202025
9 201919
10 202417
11 201817
12 201914
13 202313
14 201812
15 202411
16 202310
17 202210
18 20249
19 20248
20 20198

About Junhan Zhao

Junhan Zhao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 52 papers that have together received 632 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Data Visualization and Analytics (6 papers), Cardiac pacing and defibrillation studies (5 papers), Cell Image Analysis Techniques (4 papers), Pulmonary Hypertension Research and Treatments (3 papers), Physical Activity and Health (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Cardiovascular and exercise physiology (3 papers). The work is most often cited by research in Genetics (116 citations), Cardiology and Cardiovascular Medicine (127 citations), Health Informatics (6 citations), Biophysics (25 citations) and Developmental Neuroscience (18 citations). Junhan Zhao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Marc‐Olivier Baradez, Richard C. Tilton, Randall J. Urban, Nico Forraz, Colin McGuckin, Larry Denner, Yangyang He, Zhi‐Cheng Jing, Yi Yan and Jue Ye. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Cell Proliferation, American Journal of Hypertension, ESC Heart Failure and Frontiers in Cardiovascular Medicine.

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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