Wei-Hong Chuang

529 total citations
12 papers, 130 citations indexed

About

Wei-Hong Chuang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems. According to data from OpenAlex, Wei-Hong Chuang has authored 12 papers receiving a total of 130 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 2 papers in Information Systems. Recurrent topics in Wei-Hong Chuang's work include Advanced Steganography and Watermarking Techniques (6 papers), Video Analysis and Summarization (5 papers) and Digital Media Forensic Detection (5 papers). Wei-Hong Chuang is often cited by papers focused on Advanced Steganography and Watermarking Techniques (6 papers), Video Analysis and Summarization (5 papers) and Digital Media Forensic Detection (5 papers). Wei-Hong Chuang collaborates with scholars based in United States and Taiwan. Wei-Hong Chuang's co-authors include Min Wu, Hui Su, Ravi Garg, Ashwin Swaminathan, Soo‐Chang Pei, Avinash L. Varna, Liangzhe Yuan, Shih‐Fu Chang, Wenjun Lu and Rui Qian and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Information Forensics and Security and Neural Information Processing Systems.

In The Last Decade

Wei-Hong Chuang

11 papers receiving 123 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei-Hong Chuang United States	5	123	30	23	22	19	12	130
Junlin Ouyang China	8	300 2.4×	26 0.9×	16 0.7×	47 2.1×	10 0.5×	22	317
Jishen Zeng China	8	298 2.4×	22 0.7×	6 0.3×	19 0.9×	48 2.5×	15	316
Neetu Singh India	5	44 0.4×	7 0.2×	6 0.3×	12 0.5×	7 0.4×	24	72
Riccardo Corvi Italy	4	132 1.1×	9 0.3×	3 0.1×	6 0.3×	47 2.5×	4	180
Yifan Ding China	5	52 0.4×	28 0.9×		21 1.0×	27 1.4×	17	97
Runwen Hu China	7	245 2.0×	18 0.6×		20 0.9×	12 0.6×	9	254
S.A.M. Gilani Pakistan	9	277 2.3×	24 0.8×		21 1.0×	7 0.4×	18	283
Lixin Luo China	4	504 4.1×	18 0.6×	1 0.0×	17 0.8×	14 0.7×	5	516
Jonathan Fabrizio France	7	122 1.0×	9 0.3×		40 1.8×	13 0.7×	16	136
Alok Negi India	6	93 0.8×	31 1.0×		5 0.2×	13 0.7×	8	117

Countries citing papers authored by Wei-Hong Chuang

Since Specialization

Citations

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

Fields of papers citing papers by Wei-Hong Chuang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei-Hong Chuang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei-Hong Chuang. A scholar is included among the top collaborators of Wei-Hong 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 Wei-Hong Chuang. Wei-Hong Chuang 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:

12 of 12 papers shown

1.

Akbari, Hassan, Liangzhe Yuan, Rui Qian, et al.. (2021). VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text. Neural Information Processing Systems. 34. 1 indexed citations

2.

Chuang, Wei-Hong, Ravi Garg, & Min Wu. (2013). Anti-Forensics and Countermeasures of Electrical Network Frequency Analysis. IEEE Transactions on Information Forensics and Security. 8(12). 2073–2088. 24 indexed citations

3.

Su, Hui, Wei-Hong Chuang, Wenjun Lu, & Min Wu. (2012). Evaluating the quality of individual SIFT features. 8. 2377–2380. 1 indexed citations

4.

Chuang, Wei-Hong, Ravi Garg, & Min Wu. (2012). How secure are power network signature based time stamps?. 428–438. 15 indexed citations

5.

Chuang, Wei-Hong, Hui Su, & Min Wu. (2011). Exploring compression effects for improved source camera identification using strongly compressed video. 45 indexed citations

6.

Varna, Avinash L., Wei-Hong Chuang, & Min Wu. (2010). A framework for theoretical analysis of content fingerprinting. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7541. 754112–754112. 1 indexed citations

7.

Chuang, Wei-Hong, Avinash L. Varna, & Min Wu. (2010). Performance impact of ordinal ranking on content fingerprinting. 2369–2372.

8.

Chuang, Wei-Hong & Min Wu. (2010). Semi non-intrusive training for cell-phone camera model linkage. 1–6. 1 indexed citations

9.

Chuang, Wei-Hong, Avinash L. Varna, & Min Wu. (2009). Modeling and analysis of ordinal ranking in content fingerprinting. 116–120. 2 indexed citations

10.

Chuang, Wei-Hong, Ashwin Swaminathan, & Min Wu. (2009). Tampering identification using Empirical Frequency Response. 1517–1520. 28 indexed citations

11.

Pei, Soo‐Chang, et al.. (2006). Effective palette indexing for image compression using self-organization of Kohonen feature map. IEEE Transactions on Image Processing. 15(9). 2493–2498. 11 indexed citations

12.

Pei, Soo‐Chang & Wei-Hong Chuang. (2005). Video analysis by means of major face determination. 1095–1098 Vol. 2. 1 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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