Che-Han Chang

955 citations
11 papers · 693 · 1 hit paper · h-index 8

Impact in

    • Advanced Image and Video Retrieval Techniques
    • Advanced Vision and Imaging
    • Visual Attention and Saliency Detection
    • Image and Video Stabilization
    • Advanced Image Processing Techniques
    • Generative Adversarial Networks and Image Synthesis
    • Human Pose and Action Recognition

Papers in

Che-Han Chang

10 papers receiving 675 citations

Che-Han Chang's Hit Papers

Shape-Preserving Half-Projective Warps for Image Stitching 2014 · 266 citations
2660+4+8Years since publication50100150200250

Peers

Che-Han Chang
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 645
  • Media Technology 91
  • Aerospace Engineering 217
  • Human-Computer Interaction 32
  • Computer Graphics and Computer-Aided Design 15
Replace Qi Jia with:
Qi Jia China
Mingcai Zhou China
Hwasup Lim South Korea
Mikhail Sizintsev United States
Hangwei Chen China
Guibiao Liao China
Victor Fragoso United States
Dmitriy Sergeevich Vatolin Russia
Lianghao Wang China
Amaury Dame France
Che-Han Chang relative to Qi Jia China Qi Jia's profile →
Citations per field
00.5×2×4×6.9×
Qi Jia · 1×
Citations per year

Countries citing papers authored by Che-Han Chang

Since Specialization
Citations

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

Fields of papers citing papers by Che-Han Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Che-Han 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 Che-Han Chang Line = papers co-authored together Che-Han Chang links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown

About Che-Han Chang

Che-Han Chang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Media Technology, Aerospace Engineering and Geology, having authored 11 papers that have together received 693 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Robotics and Sensor-Based Localization (3 papers), Advanced Optical Imaging Technologies (2 papers), Computer Graphics and Visualization Techniques (2 papers), Image and Video Stabilization (2 papers), Video Analysis and Summarization (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (645 citations), Media Technology (91 citations), Aerospace Engineering (217 citations), Human-Computer Interaction (32 citations) and Computer Graphics and Computer-Aided Design (15 citations). Che-Han Chang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yung‐Yu Chuang, Yoichi Sato, Edward Yi Chang, Chia‐Kai Liang, Chun‐Nan Chou, Wen-Huang Cheng, Min‐Chun Hu, Yujing Lin, Shih-Wei Liao and Chi-Wen Chen. Their work appears in journals such as IEEE Transactions on Multimedia and IEEE Transactions on Cybernetics.

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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