Ming‐Ching Chang

4.2k citations
117 papers · 2.3k · 1 hit paper · h-index 21

Impact in

Papers in

    • Video Surveillance and Tracking Methods 31
    • Advanced Neural Network Applications 19
    • Human Pose and Action Recognition 15
    • Digital Media Forensic Detection 9
    • Generative Adversarial Networks and Image Synthesis 8
    • Anomaly Detection Techniques and Applications 19

Ming‐Ching Chang

106 papers receiving 2.2k citations

Ming‐Ching Chang's Hit Papers

In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking 2018 · 682 citations
6820+2+5Years since publication200400600

Peers

Ming‐Ching Chang
Comparison fields: 5 of 144
  • Computer Vision and Pattern Recognition 1.7k
  • Human-Computer Interaction 132
  • Artificial Intelligence 668
  • Computer Graphics and Computer-Aided Design 45
  • Signal Processing 110
Replace Gunther Heidemann with:
Gunther Heidemann Germany
Nicola Conci Italy
Bin Sheng China
Kai‐Lung Hua Taiwan
Honggang Zhang China
Lorenzo Baraldi Italy
Matthew Johnson United States
Joseph J. Lim United States
Hamid Tairi Morocco
Yangang Wang China
Ming‐Ching Chang relative to Gunther Heidemann Germany Gunther Heidemann's profile →
Citations per field
00.5×5×10×12.5×
Gunther Heidemann · 1×
Citations per year

Countries citing papers authored by Ming‐Ching Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Ching Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Ching 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 Ming‐Ching Chang. The network helps show where Ming‐Ching Chang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1
In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking
Hit paper breakdown →
2018682
2 2018181
3 2012103
4 201798
5 202084
6 201166
7 202266
8 201859
9 201753
10 202445
11 201045
12 201643
13 201742
14 202235
15 200930
16 202330
17 201026
18 202125
19 202324
20 202024

About Ming‐Ching Chang

Ming‐Ching Chang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering, Biomedical Engineering and Computational Mechanics, having authored 117 papers that have together received 2.3k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (31 papers), Anomaly Detection Techniques and Applications (19 papers), Advanced Neural Network Applications (19 papers), Human Pose and Action Recognition (15 papers), Autonomous Vehicle Technology and Safety (9 papers), Digital Media Forensic Detection (9 papers), Generative Adversarial Networks and Image Synthesis (8 papers) and 3D Shape Modeling and Analysis (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Human-Computer Interaction (132 citations), Artificial Intelligence (668 citations), Computer Graphics and Computer-Aided Design (45 citations) and Signal Processing (110 citations). Ming‐Ching Chang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Siwei Lyu, Yuezun Li, Honggang Qi, Lipeng Ke, Weina Ge, Nils Krahnstoever, Benjamin B. Kimia, Ping-Yang Chen, Jun-Wei Hsieh and Longyin Wen. Their work appears in journals such as Computer Vision and Image Understanding, International Journal of Computer Vision, The Journal of Chemical Physics, ACM Transactions on Multimedia Computing Communications and Applications and MRS Communications.

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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