Pengcheng Shi

1.2k citations
54 papers · 516 indexed · h-index 13

Pengcheng Shi

50 papers receiving 495 citations

Peers

Pengcheng Shi
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 292
  • Geology 52
  • Aerospace Engineering 146
  • Signal Processing 58
  • Computational Mathematics 3
Replace Anna Hilsmann with:
Anna Hilsmann Germany
Joakim Rydell Sweden
J.J. Villanueva Spain
Boubakeur Boufama Canada
Andrei Bursuc France
Wei Ke China
Aladine Chetouani France
Kan Wu China
Gedas Bertasius United States
Pengcheng Shi relative to Anna Hilsmann Germany Anna Hilsmann's profile →
Citations per field
00.5×
Anna Hilsmann · 1×
Citations per year

Countries citing papers authored by Pengcheng Shi

Since Specialization
Citations

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

Fields of papers citing papers by Pengcheng Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20250
4 20251
5 202414
6 202414
7 20242
8 20244
9 20246
10
Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains
20201
11
Visualinguistic Approach to Medical Image Understanding.
20122
12
Learning Image-Derived Eye Movement Patterns to Characterize Perceptual Expertise
20127
13 20121
14 20073
15
Meshfree Cardiac Motion Analysis Framework Using Composite Material Model and Total Lagrangian Formulation
20051
16 20050
17 20055
18
Spatiotemporal Curve Evolution for Simultaneous Shape and Motion Recovery
20041
19
Velocity Field Constrained Front Propagation for Segmentation of Cardiac Images
20021
20
Peg-free hand geometry recognition using hierarchical geometry and shape matching
200259

About Pengcheng Shi

Pengcheng Shi is a scholar working on Computer Vision and Pattern Recognition, Geology and General Decision Sciences, having authored 54 papers that have together received 516 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (21 papers), Robotics and Sensor-Based Localization (12 papers), Elasticity and Material Modeling (9 papers), Remote Sensing and LiDAR Applications (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Medical Imaging Techniques and Applications (6 papers), 3D Surveying and Cultural Heritage (6 papers) and Image Retrieval and Classification Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (292 citations), Geology (52 citations) and Aerospace Engineering (146 citations). Pengcheng Shi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jiayuan Li, Yongjun Zhang, Qingwu Hu, Huafeng Liu, James S. Duncan, Albert J. Sinusas, R. Todd Constable, Huafeng Liu, Qin Ye and Jeff B. Pelz. Their work appears in journals such as Knowledge-Based Systems, NeuroImage, IEEE Transactions on Geoscience and Remote Sensing, ISPRS International Journal of Geo-Information and ISPRS Journal of Photogrammetry and Remote Sensing.

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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