Ping-Lin Chang

526 citations
20 papers · 398 · h-index 10

Impact in

Papers in

Ping-Lin Chang

19 papers receiving 385 citations

Peers

Ping-Lin Chang
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 173
  • Health Informatics 6
  • Biomedical Engineering 145
  • Surgery 126
  • Aerospace Engineering 65
Replace Egidijus Pelanis with:
Egidijus Pelanis Norway
Rafael Palomar Norway
Sandro-Michael Heining Germany
Rahul Prasanna Kumar Norway
Thomas S. Pheiffer United States
Zachary M. C. Baum United Kingdom
Sandrine Voros France
Marco Visentini-Scarzanella United Kingdom
Nikhil V. Navkar Qatar
Sylvain Bernhardt France
Ping-Lin Chang relative to Egidijus Pelanis Norway Egidijus Pelanis's profile →
Citations per field
00.5×2×4×6×7×
Egidijus Pelanis · 1×
Citations per year

Countries citing papers authored by Ping-Lin Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ping-Lin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ping-Lin Chang. 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 Ping-Lin Chang. The network helps show where Ping-Lin Chang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2018101
2 200753
3 201544
4 201337
5 201634
6 201632
7 201715
8 201115
9 201414
10 20209
11 20169
12 20139
13 20189
14 20186
15 20124
16 20173
17
Towards 3D Catheter Shape Reconstruction using Electromagnetic and Image Sensors
20152
18 20081
19 20121
20 20090

About Ping-Lin Chang

Ping-Lin Chang is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Surgery, Artificial Intelligence and Aerospace Engineering, having authored 20 papers that have together received 398 indexed citations. Recurring topics across this work include Surgical Simulation and Training (5 papers), Medical Image Segmentation Techniques (5 papers), Robotics and Sensor-Based Localization (5 papers), Advanced Vision and Imaging (4 papers), Image Retrieval and Classification Techniques (4 papers), Soft Robotics and Applications (3 papers), Image and Object Detection Techniques (2 papers) and Anatomy and Medical Technology (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (173 citations), Health Informatics (6 citations), Biomedical Engineering (145 citations), Surgery (126 citations) and Aerospace Engineering (65 citations). Ping-Lin Chang has collaborated with scholars based in United Kingdom, Taiwan and Belgium. Frequent co-authors include Danail Stoyanov, Wei‐Guang Teng, Sébastien Ourselin, John D. Kelly, Xiaofei Du, Philip “Eddie” Edwards, Thomas Kurmann, Raphael Sznitman, Andrew J. Davison and Alexander Rolls. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, IEEE Robotics and Automation Letters, IEEE Transactions on Medical Imaging, Computerized Medical Imaging and Graphics and Journal of Medical Systems.

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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