Chien-Ping Chang

1.6k total citations
30 papers, 1.2k citations indexed

About

Chien-Ping Chang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Chien-Ping Chang has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Chien-Ping Chang's work include Interconnection Networks and Systems (9 papers), Advanced Steganography and Watermarking Techniques (7 papers) and Digital Media Forensic Detection (7 papers). Chien-Ping Chang is often cited by papers focused on Interconnection Networks and Systems (9 papers), Advanced Steganography and Watermarking Techniques (7 papers) and Digital Media Forensic Detection (7 papers). Chien-Ping Chang collaborates with scholars based in Taiwan, United States and Türkiye. Chien-Ping Chang's co-authors include Lih‐Hsing Hsu, Pao-Lien Lai, Jen‐Chun Lee, J. Tan, Ko-Chin Chang, Te‐Ming Tu, Ping Huang, Ting‐Yi Sung, Lih-Hsing Hsu and Jimmy J.M. Tan and has published in prestigious journals such as Sensors, Information Sciences and Thin Solid Films.

In The Last Decade

Chien-Ping Chang

29 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chien-Ping Chang Taiwan 16 552 481 300 235 147 30 1.2k
Sabih H. Gerez Netherlands 14 141 0.3× 638 1.3× 225 0.8× 227 1.0× 31 0.2× 43 1.3k
Feng Bao Singapore 20 758 1.4× 158 0.3× 283 0.9× 49 0.2× 31 0.2× 135 1.2k
Nian-Feng Tzeng United States 21 1.5k 2.7× 67 0.1× 738 2.5× 759 3.2× 112 0.8× 148 1.9k
Abdol‐Hossein Esfahanian United States 17 995 1.8× 56 0.1× 404 1.3× 182 0.8× 19 0.1× 57 1.4k
Henk Meijer Canada 16 341 0.6× 204 0.4× 130 0.4× 73 0.3× 2 0.0× 100 826
Shiying Wang China 22 1.3k 2.3× 75 0.2× 565 1.9× 295 1.3× 8 0.1× 134 1.5k
Venkatesh Akella United States 26 741 1.3× 189 0.4× 1.5k 5.1× 313 1.3× 16 0.1× 122 2.0k
Mahmudur Rahman United States 12 39 0.1× 82 0.2× 148 0.5× 31 0.1× 37 0.3× 55 463
Yifan He China 15 98 0.2× 259 0.5× 159 0.5× 163 0.7× 54 0.4× 139 1.2k
Khaled Day Oman 16 988 1.8× 46 0.1× 521 1.7× 182 0.8× 4 0.0× 90 1.2k

Countries citing papers authored by Chien-Ping Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chien-Ping Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chien-Ping Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Chien-Ping Chang. A scholar is included among the top collaborators of Chien-Ping 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 Chien-Ping Chang. Chien-Ping 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
1.
Lee, Jen‐Chun, et al.. (2015). Detection of copy–move image forgery using histogram of orientated gradients. Information Sciences. 321. 250–262. 107 indexed citations
2.
Lee, Chiou‐Yng, Pramod Kumar Meher, & Chien-Ping Chang. (2014). Efficient <formula formulatype="inline"><tex Notation="TeX">$M$</tex> </formula>-ary Exponentiation over <formula formulatype="inline"><tex Notation="TeX">$GF(2^{m})$</tex> </formula> Using Subquadratic KA-Based Three-Operand Montgomery Multiplier. IEEE Transactions on Circuits and Systems I Regular Papers. 61(11). 3125–3134. 7 indexed citations
3.
Lee, Jen‐Chun, et al.. (2014). Palm vein recognition based on directional empirical mode decomposition. Optical Engineering. 53(4). 43102–43102. 2 indexed citations
4.
Lee, Jen‐Chun, et al.. (2013). A secure palm vein recognition system. Journal of Systems and Software. 86(11). 2870–2876. 57 indexed citations
5.
Lei, Po-Ruey, et al.. (2012). Dummy-Based Schemes for Protecting Movement Trajectories. Journal of information science and engineering. 28(2). 335–350. 32 indexed citations
6.
Lee, Jen‐Chun, et al.. (2012). High-payload image hiding with quality recovery using tri-way pixel-value differencing. Information Sciences. 191. 214–225. 104 indexed citations
7.
Chang, Chih‐Hao, et al.. (2011). Highly efficient phosphorescent blue and white organic light-emitting devices with simplified architectures. Thin Solid Films. 519(22). 7992–7997. 12 indexed citations
8.
Chang, Hsin-Hua, et al.. (2011). A new tricarbazole phosphine oxide bipolar host for efficient single-layer blue PhOLED. Organic Electronics. 12(12). 2025–2032. 36 indexed citations
9.
Tu, Te‐Ming, et al.. (2010). Saturation Adjustment Scheme of Blind Color Watermarking for Secret Text Hiding. Journal of Multimedia. 5(3). 4 indexed citations
10.
Tu, Te‐Ming, et al.. (2009). A New Vegetation Enhancement/Extraction Technique for IKONOS and QuickBird Imagery. IEEE Geoscience and Remote Sensing Letters. 6(2). 349–353. 15 indexed citations
11.
Chang, Chien-Ping, et al.. (2008). Using empirical mode decomposition for iris recognition. Computer Standards & Interfaces. 31(4). 729–739. 18 indexed citations
12.
Chang, Chien-Ping, et al.. (2008). Conditional fault diameter of crossed cubes. Journal of Parallel and Distributed Computing. 69(1). 91–99. 9 indexed citations
13.
Chang, Ko-Chin, Chien-Ping Chang, Ping Huang, & Te‐Ming Tu. (2008). A Novel Image Steganographic Method Using Tri-way Pixel-Value Differencing. Journal of Multimedia. 3(2). 123 indexed citations
14.
Chang, Ko-Chin, Ping Huang, Te‐Ming Tu, & Chien-Ping Chang. (2007). Adaptive image steganographic scheme based on Tri-way Pixel-Value Differencing. 1165–1170. 24 indexed citations
15.
Chang, Ko-Chin, et al.. (2007). Image Steganographic Scheme Using Tri-way Pixel-Value Differencing and Adaptive Rules. 3. 449–452. 10 indexed citations
16.
Lee, Jen‐Chun, Ping Huang, Chien-Ping Chang, & Te‐Ming Tu. (2007). Novel and Fast Approach for Iris Location. 30. 139–142. 4 indexed citations
17.
Chang, Chien-Ping. (2006). StarMarker—a fast and robust RGB-based saturation watermarking system for pan-sharpened IKONOS and QuickBird imagery. Optical Engineering. 45(5). 56202–56202. 4 indexed citations
18.
Lai, Pao-Lien, J. Tan, Chien-Ping Chang, & Lih‐Hsing Hsu. (2005). Conditional diagnosability measures for large multiprocessor systems. IEEE Transactions on Computers. 54(2). 165–175. 319 indexed citations
19.
Chang, Chien-Ping, Ting‐Yi Sung, & Lih-Hsing Hsu. (2002). A new shortest path routing algorithm and embedding cycles of crossed cube. 125–131. 5 indexed citations
20.
Sung, Ting‐Yi, et al.. (2000). Optimal k-fault-tolerant networks for token rings. Journal of information science and engineering. 16(3). 381–390. 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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