Chia-Ming Chang

520 total citations
32 papers, 337 citations indexed

About

Chia-Ming Chang is a scholar working on Computer Vision and Pattern Recognition, Social Psychology and Human-Computer Interaction. According to data from OpenAlex, Chia-Ming Chang has authored 32 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 8 papers in Social Psychology and 8 papers in Human-Computer Interaction. Recurrent topics in Chia-Ming Chang's work include Human-Automation Interaction and Safety (8 papers), Gaze Tracking and Assistive Technology (4 papers) and Advanced Neural Network Applications (4 papers). Chia-Ming Chang is often cited by papers focused on Human-Automation Interaction and Safety (8 papers), Gaze Tracking and Assistive Technology (4 papers) and Advanced Neural Network Applications (4 papers). Chia-Ming Chang collaborates with scholars based in Japan, China and Taiwan. Chia-Ming Chang's co-authors include Takeo Igarashi, Koki Toda, Daisuke Sakamoto, Yasuhiro Kobayashi, Stela H. Seo, Haoran Xie, Shin‐Yuan Hung, Yi He, Yu‐Jung Chen and Praveen K. Singh and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, Electronics and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Chia-Ming Chang

29 papers receiving 323 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chia-Ming Chang Japan 7 218 119 84 64 53 32 337
Koki Toda Japan 7 204 0.9× 107 0.9× 79 0.9× 81 1.3× 33 0.6× 13 295
Karthik Mahadevan Canada 7 337 1.5× 192 1.6× 157 1.9× 86 1.3× 27 0.5× 12 434
Željko Medenica United States 10 229 1.1× 84 0.7× 72 0.9× 105 1.6× 61 1.2× 17 324
Tamara von Sawitzky Germany 8 309 1.4× 138 1.2× 111 1.3× 116 1.8× 68 1.3× 17 365
Joshua Domeyer United States 10 253 1.2× 191 1.6× 100 1.2× 47 0.7× 17 0.3× 27 362
Alea Mehler United States 6 173 0.8× 159 1.3× 111 1.3× 17 0.3× 72 1.4× 14 389
Jork Stapel Netherlands 10 255 1.2× 167 1.4× 133 1.6× 12 0.2× 21 0.4× 17 374
Evangelia Portouli Greece 8 284 1.3× 215 1.8× 192 2.3× 15 0.2× 15 0.3× 19 415
Thomas H. Weisswange Germany 9 70 0.3× 58 0.5× 123 1.5× 14 0.2× 72 1.4× 34 251
Andreas Lüdtke Germany 9 97 0.4× 42 0.4× 46 0.5× 17 0.3× 18 0.3× 35 177

Countries citing papers authored by Chia-Ming Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Ming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chia-Ming Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Ming Chang. A scholar is included among the top collaborators of Chia-Ming Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chia-Ming Chang. Chia-Ming Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Chang, Chia-Ming, Jin Nakazato, Ehsan Javanmardi, et al.. (2024). Transforming Pedestrian and Autonomous Vehicles Interactions in Shared Spaces: A Think-Tank Study on Exploring Human-Centric Designs. 136–142. 1 indexed citations
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Toda, Koki, et al.. (2023). A Field Study on Pedestrians’ Thoughts toward a Car with Gazing Eyes. 1–7. 2 indexed citations
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Chang, Chia-Ming, et al.. (2023). SyncLabeling: A Synchronized Audio Segmentation Interface for Mobile Devices. Proceedings of the ACM on Human-Computer Interaction. 7(MHCI). 1–19. 2 indexed citations
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Chang, Chia-Ming, Ehsan Javanmardi, Jin Nakazato, et al.. (2023). Keep Calm and Cross: Smart Pole Interaction Unit for Easing Pedestrian Cognitive Load. 1–6. 2 indexed citations
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Chang, Chia-Ming, et al.. (2023). Efficient Human-in-the-loop System for Guiding DNNs Attention. 294–306. 3 indexed citations
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Li, Sicheng, et al.. (2022). A Drawing Support System for Sketching Aging Anime Faces. 2 indexed citations
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Zhang, Tianyu, et al.. (2022). Interactive Drawing Interface for Editing Scene Graph. 171–172. 1 indexed citations
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He, Yi, et al.. (2022). Sketch-based 3D shape modeling from sparse point clouds. 119–119. 6 indexed citations
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Trappey, Amy J.C., et al.. (2020). Behavioral Therapy for Phobias Using Immersive Virtual Reality Technology. 41(2). 131–140. 2 indexed citations
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Chang, Chia-Ming. (2020). A Gender Study of Communication Interfaces between an Autonomous Car and a Pedestrian. 42–45. 12 indexed citations
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Chang, Chia-Ming, et al.. (2018). A Video-based Study Comparing Communication Modalities between an Autonomous Car and a Pedestrian. 104–109. 45 indexed citations
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Chen, Yu‐Jung, et al.. (2015). A 130.3 mW 16-Core Mobile GPU With Power-Aware Pixel Approximation Techniques. IEEE Journal of Solid-State Circuits. 50(9). 2212–2223. 4 indexed citations
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Chang, Chia-Ming, et al.. (2006). Compression Artifacts in Perceptual Audio Coding. Journal of the Audio Engineering Society. 3 indexed citations
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Chang, Chia-Ming & Shin‐Yuan Hung. (2004). Distinct Journal Preference of Successful EC Researchers: A Citation Analysis. 2(1). 1–18. 3 indexed citations

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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