Cheng-Hung Chuang

833 total citations · 1 hit paper
10 papers, 645 citations indexed

About

Cheng-Hung Chuang is a scholar working on Computer Vision and Pattern Recognition, Strategy and Management and Automotive Engineering. According to data from OpenAlex, Cheng-Hung Chuang has authored 10 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Strategy and Management and 2 papers in Automotive Engineering. Recurrent topics in Cheng-Hung Chuang's work include Advanced Steganography and Watermarking Techniques (2 papers), Innovation Diffusion and Forecasting (2 papers) and Innovation and Knowledge Management (2 papers). Cheng-Hung Chuang is often cited by papers focused on Advanced Steganography and Watermarking Techniques (2 papers), Innovation Diffusion and Forecasting (2 papers) and Innovation and Knowledge Management (2 papers). Cheng-Hung Chuang collaborates with scholars based in Taiwan. Cheng-Hung Chuang's co-authors include Ing‐Long Wu, Chien-Hua Hsu, Hsuan Chang, Wen‐Nung Lie, Guo-Shiang Lin, Wen-Yew Liang, Yen‐Lin Chen, Chung-Lin Huang, Yu-Kai Cheng and Chih‐Lung Lin and has published in prestigious journals such as International Journal of Production Economics, Decision Support Systems and Optical Engineering.

In The Last Decade

Cheng-Hung Chuang

10 papers receiving 601 citations

Hit Papers

Information sharing and collaborative behaviors in enabli... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng-Hung Chuang Taiwan 6 375 340 90 79 66 10 645
Abhishek Kathuria United States 13 213 0.6× 121 0.4× 72 0.8× 97 1.2× 59 0.9× 58 574
Thilini Ariyachandra United States 11 238 0.6× 573 1.7× 104 1.2× 35 0.4× 37 0.6× 34 774
Adir Even Israel 13 132 0.4× 363 1.1× 81 0.9× 56 0.7× 53 0.8× 41 643
Snehamay Banerjee United States 13 277 0.7× 338 1.0× 111 1.2× 29 0.4× 46 0.7× 32 595
Vinayak A. Drave India 6 265 0.7× 266 0.8× 75 0.8× 78 1.0× 44 0.7× 10 544
Stefan Debortoli Liechtenstein 7 82 0.2× 234 0.7× 62 0.7× 58 0.7× 27 0.4× 13 566
Sangeeta Shah Bharadwaj India 13 135 0.4× 206 0.6× 87 1.0× 40 0.5× 73 1.1× 29 456
İ̇hsan Tolga Medeni Türkiye 9 167 0.4× 106 0.3× 35 0.4× 32 0.4× 31 0.5× 36 451
Anteneh Ayanso Canada 11 79 0.2× 80 0.2× 118 1.3× 124 1.6× 53 0.8× 32 504
Linda Volonino United States 13 76 0.2× 178 0.5× 75 0.8× 20 0.3× 20 0.3× 33 455

Countries citing papers authored by Cheng-Hung Chuang

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Hung Chuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Hung Chuang. 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 Cheng-Hung Chuang. The network helps show where Cheng-Hung Chuang may publish in the future.

Co-authorship network of co-authors of Cheng-Hung Chuang

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng-Hung Chuang. A scholar is included among the top collaborators of Cheng-Hung Chuang 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 Cheng-Hung Chuang. Cheng-Hung Chuang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Cheng, Yu-Kai, et al.. (2024). Accurate Intervertebral Disc Segmentation Approach Based on Deep Learning. Diagnostics. 14(2). 191–191. 2 indexed citations
2.
Huang, Chung-Lin, et al.. (2023). Automatic Recognition of Driving Events based on Deep Learning. 52–55. 1 indexed citations
3.
Wu, Ing‐Long, Cheng-Hung Chuang, & Chien-Hua Hsu. (2013). Information sharing and collaborative behaviors in enabling supply chain performance: A social exchange perspective. International Journal of Production Economics. 148. 122–132. 444 indexed citations breakdown →
4.
Chen, Yen‐Lin, et al.. (2011). Embedded Vision-based Nighttime Driver Assistance System. Journal of Convergence Information Technology. 6(2). 283–292. 6 indexed citations
5.
Wu, Ing‐Long & Cheng-Hung Chuang. (2010). Examining the diffusion of electronic supply chain management with external antecedents and firm performance: A multi-stage analysis. Decision Support Systems. 50(1). 103–115. 90 indexed citations
6.
Wu, Ing‐Long & Cheng-Hung Chuang. (2009). Analyzing contextual antecedents for the stage-based diffusion of electronic supply chain management. Electronic Commerce Research and Applications. 8(6). 302–314. 42 indexed citations
7.
Chuang, Cheng-Hung. (2008). Optical image cryptosystem based on adaptive steganography. Optical Engineering. 47(4). 47002–47002. 4 indexed citations
8.
Lin, Guo-Shiang, Hsuan Chang, Wen‐Nung Lie, & Cheng-Hung Chuang. (2003). Public-key-based optical image cryptosystem based on data embedding techniques. Optical Engineering. 42(8). 2331–2331. 46 indexed citations
9.
Chuang, Cheng-Hung, et al.. (2002). Automatic snake contours for the segmentation of multiple objects. 2. 389–392. 7 indexed citations
10.
Chuang, Cheng-Hung, et al.. (2002). Region growing based on extended gradient vector flow field model for multiple objects segmentation. 2. 74–77. 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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