Nan-I Wu

695 total citations
13 papers, 510 citations indexed

About

Nan-I Wu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Nan-I Wu has authored 13 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 2 papers in Computer Networks and Communications and 2 papers in Artificial Intelligence. Recurrent topics in Nan-I Wu's work include Advanced Steganography and Watermarking Techniques (10 papers), Chaos-based Image/Signal Encryption (9 papers) and Digital Media Forensic Detection (8 papers). Nan-I Wu is often cited by papers focused on Advanced Steganography and Watermarking Techniques (10 papers), Chaos-based Image/Signal Encryption (9 papers) and Digital Media Forensic Detection (8 papers). Nan-I Wu collaborates with scholars based in Taiwan, Indonesia and China. Nan-I Wu's co-authors include Min‐Shiang Hwang, Chung-Ming Wang, Chwei‐Shyong Tsai, Kuo-Chen Wu, Der‐Chyuan Lou, Shu‐Fen Chiou, Iuon‐Chang Lin and Cheng‐Ying Yang and has published in prestigious journals such as Sensors, Applied Soft Computing and Applied Sciences.

In The Last Decade

Nan-I Wu

11 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nan-I Wu Taiwan	7	500	20	19	12	12	13	510
Jun-Chou Chuang Taiwan	9	282 0.6×	24 1.2×	21 1.1×	8 0.7×	8 0.7×	17	296
Ran-Zan Wang Taiwan	4	693 1.4×	28 1.4×	25 1.3×	11 0.9×	15 1.3×	6	703
Gangqiang Xiong China	10	319 0.6×	12 0.6×	22 1.2×	6 0.5×	11 0.9×	22	337
Ying‐Hsuan Huang Taiwan	9	433 0.9×	22 1.1×	18 0.9×	17 1.4×	3 0.3×	22	454
Ioan-Catalin Dragoi Romania	6	500 1.0×	20 1.0×	17 0.9×	5 0.4×	6 0.5×	8	505
Hao-Kuan Tso Taiwan	8	370 0.7×	13 0.7×	44 2.3×	7 0.6×	12 1.0×	20	383
Lixin Luo China	4	504 1.0×	18 0.9×	14 0.7×	5 0.4×	17 1.4×	5	516
Kaimeng Chen China	11	281 0.6×	17 0.8×	13 0.7×	4 0.3×	6 0.5×	18	301
Wenguang He China	12	559 1.1×	25 1.3×	27 1.4×	7 0.6×	11 0.9×	25	577

Countries citing papers authored by Nan-I Wu

Since Specialization

Citations

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

Fields of papers citing papers by Nan-I Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nan-I Wu. 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 Nan-I Wu. The network helps show where Nan-I Wu may publish in the future.

Co-authorship network of co-authors of Nan-I Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

Lin, Iuon‐Chang, et al.. (2025). A Quantum Key Distribution for Securing Smart Grids. Cryptography. 9(2). 28–28.

Hwang, Min‐Shiang, et al.. (2025). An Improvement of Three-party Authentication Protocol Based on Riro for Mobile RFID System. 433–434.

Wu, Nan-I, et al.. (2025). A Fuzzy-Based Relay Security Algorithm for Wireless Sensor Networks. Sensors. 25(14). 4422–4422. 1 indexed citations

Wu, Nan-I, et al.. (2023). A Robust and High-Capacity Coverless Information Hiding Based on Combination Theory. Informatica. 449–464. 3 indexed citations

Wu, Nan-I, et al.. (2023). A High-Capacity Coverless Information Hiding Based on the Lowest and Highest Image Fragments. Electronics. 12(2). 395–395. 5 indexed citations

Chiou, Shu‐Fen, et al.. (2023). High Imperceptible Data Hiding Method Based on Combination Theory for AMBTC Compressed Images. Applied Sciences. 13(12). 7050–7050. 2 indexed citations

Wu, Nan-I & Min‐Shiang Hwang. (2017). A novel LSB data hiding scheme with the lowest distortion. The Imaging Science Journal. 65(6). 371–378. 27 indexed citations

Wu, Nan-I & Min‐Shiang Hwang. (2017). Development of a data hiding scheme based on combination theory for lowering the visual noise in binary images. Displays. 49. 116–123. 11 indexed citations

Wu, Nan-I, Kuo-Chen Wu, & Chung-Ming Wang. (2011). Exploring pixel-value differencing and base decomposition for low distortion data embedding. Applied Soft Computing. 12(2). 942–960. 32 indexed citations

10.

Lou, Der‐Chyuan, et al.. (2010). A novel adaptive steganography based on local complexity and human vision sensitivity. Journal of Systems and Software. 83(7). 1236–1248. 32 indexed citations

11.

Wang, Chung-Ming, Nan-I Wu, Chwei‐Shyong Tsai, & Min‐Shiang Hwang. (2008). (Journal of Systems and Software, 81(1):150-158)A high quality steganographic method with pixel-value differencing and modulus function. 31 indexed citations

12.

Wu, Nan-I & Min‐Shiang Hwang. (2007). Data Hiding: Current Status and Key Issues. International journal of network security. 4. 1–9. 104 indexed citations

13.

Wang, Chung-Ming, Nan-I Wu, Chwei‐Shyong Tsai, & Min‐Shiang Hwang. (2007). A high quality steganographic method with pixel-value differencing and modulus function. Journal of Systems and Software. 81(1). 150–158. 262 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.

Explore authors with similar magnitude of impact