Junchen Wang

3.2k citations
169 papers · 2.5k · h-index 24

Impact in

Papers in

Junchen Wang

151 papers receiving 2.4k citations

Peers

Junchen Wang
Comparison fields: 5 of 170
  • Cancer Research 360
  • Computer Vision and Pattern Recognition 505
  • General Dentistry 28
  • Oral Surgery 92
  • Human-Computer Interaction 79
Replace Shi-qiang Gong with:
Shi-qiang Gong China
Cheng Youn Lu China
David Chen United States
Ran Su China
Yao Lu China
Tao He China
Raphaël Marée Belgium
Rizwan Qureshi Pakistan
Lisheng Wang China
Shu Wang China
Junchen Wang relative to Shi-qiang Gong China Shi-qiang Gong's profile →
Citations per field
00.5×2×4×6×
Shi-qiang Gong · 1×
Citations per year

Countries citing papers authored by Junchen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junchen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junchen Wang, 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 Junchen Wang Line = papers co-authored together Junchen Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015191
2 2014181
3 2012164
4 2016108
5 2014104
6 201495
7 201272
8 201969
9 201366
10 200958
11 201647
12 200845
13 201443
14 202040
15
Myocardial capillary angiogenesis and coronary flow in ischemia tolerance rat by adaptation to intermittent high altitude hypoxia.
200238
16 201838
17 201837
18 201936
19 201736
20 202131

About Junchen Wang

Junchen Wang is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Surgery, Aerospace Engineering and Radiology, Nuclear Medicine and Imaging, having authored 169 papers that have together received 2.5k indexed citations. Recurring topics across this work include Soft Robotics and Applications (19 papers), Augmented Reality Applications (18 papers), Surgical Simulation and Training (17 papers), Robotics and Sensor-Based Localization (16 papers), Anatomy and Medical Technology (9 papers), Medical Image Segmentation Techniques (7 papers), Advanced Vision and Imaging (6 papers) and Teleoperation and Haptic Systems (6 papers). The work is most often cited by research in Cancer Research (360 citations), Computer Vision and Pattern Recognition (505 citations), General Dentistry (28 citations), Oral Surgery (92 citations) and Human-Computer Interaction (79 citations). Junchen Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Ichiro Sakuma, Etsuko Kobayashi, Dean G. Tang, Liangjing Yang, Hideyuki Suenaga, Hongen Liao, Can Liu, Collene R. Jeter, Tao Yang and Kazuto Hoshi. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Biomedical Engineering, Computers in Biology and Medicine, IEEE Transactions on Automation Science and Engineering and PLoS ONE.

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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