Yaomin Wang

652 total citations
20 papers, 467 citations indexed

About

Yaomin Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience. According to data from OpenAlex, Yaomin Wang has authored 20 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 2 papers in Cognitive Neuroscience. Recurrent topics in Yaomin Wang's work include Advanced Steganography and Watermarking Techniques (12 papers), Chaos-based Image/Signal Encryption (12 papers) and Digital Media Forensic Detection (12 papers). Yaomin Wang is often cited by papers focused on Advanced Steganography and Watermarking Techniques (12 papers), Chaos-based Image/Signal Encryption (12 papers) and Digital Media Forensic Detection (12 papers). Yaomin Wang collaborates with scholars based in China, Macao and United States. Yaomin Wang's co-authors include Wenguang He, Zhanchuan Cai, Gangqiang Xiong, Jiuwen Cao, Dinghan Hu, Shaowei Weng, Xiaoping Lai, Yao Ding, Shuang Wang and Jianzhong Wang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Yaomin Wang

20 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaomin Wang China 11 341 81 48 39 24 20 467
Nana Yu China 8 171 0.5× 75 0.9× 46 1.0× 61 1.6× 10 0.4× 35 292
Said Ghoniemy Egypt 9 121 0.4× 73 0.9× 18 0.4× 49 1.3× 9 0.4× 39 283
Ali Emami Iran 8 228 0.7× 153 1.9× 83 1.7× 48 1.2× 44 1.8× 12 398
Pabitra Pal India 8 120 0.4× 116 1.4× 85 1.8× 33 0.8× 4 0.2× 17 249
Ibrahim M. El‐Dokany Egypt 11 268 0.8× 64 0.8× 73 1.5× 77 2.0× 19 0.8× 31 405
Tim Good United Kingdom 9 108 0.3× 28 0.3× 21 0.4× 168 4.3× 29 1.2× 23 363
Fariborz Mahmoudi Iran 12 225 0.7× 80 1.0× 31 0.6× 113 2.9× 69 2.9× 52 478
Anil Kumar Tiwari India 9 178 0.5× 29 0.4× 45 0.9× 36 0.9× 5 0.2× 56 269
Majid Komeili Canada 11 167 0.5× 122 1.5× 85 1.8× 107 2.7× 9 0.4× 33 432

Countries citing papers authored by Yaomin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yaomin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yaomin Wang. 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 Yaomin Wang. The network helps show where Yaomin Wang may publish in the future.

Co-authorship network of co-authors of Yaomin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yaomin Wang. A scholar is included among the top collaborators of Yaomin Wang 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 Yaomin Wang. Yaomin Wang 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.
Wang, Yaomin, et al.. (2025). FefDM-Transformer: Dual-channel multi-stage Transformer-based encoding and fusion mode for infrared–visible images. Expert Systems with Applications. 277. 127229–127229. 3 indexed citations
2.
He, Wenguang, et al.. (2024). Reversible data hiding using morphology based pixel classification. Expert Systems with Applications. 250. 123844–123844. 4 indexed citations
3.
He, Wenguang, Gangqiang Xiong, & Yaomin Wang. (2022). Reversible Data Hiding Based on Multiple Pairwise PEE and Two-Layer Embedding. Security and Communication Networks. 2022. 1–12. 9 indexed citations
4.
Wang, Yaomin, Gangqiang Xiong, & Wenguang He. (2022). High-capacity reversible data hiding in encrypted images based on pixel-value-ordering and histogram shifting. Expert Systems with Applications. 211. 118600–118600. 39 indexed citations
5.
Wang, Yaomin & Wenguang He. (2021). High Capacity Reversible Data Hiding in Encrypted Image Based on Adaptive MSB Prediction. IEEE Transactions on Multimedia. 24. 1288–1298. 52 indexed citations
6.
He, Wenguang, Gangqiang Xiong, & Yaomin Wang. (2021). Reversible Data Hiding Based on Adaptive Multiple Histograms Modification. IEEE Transactions on Information Forensics and Security. 16. 3000–3012. 28 indexed citations
7.
He, Wenguang, Gangqiang Xiong, & Yaomin Wang. (2021). Reversible data hiding based on multi‐predictor and adaptive expansion. IET Image Processing. 16(3). 888–899. 2 indexed citations
8.
Wang, Xia, et al.. (2021). A probabilistic multimodal optimization algorithm based on Buffon principle and Nyquist sampling theorem for noisy environment. Applied Soft Computing. 104. 107068–107068. 14 indexed citations
9.
Cao, Jiuwen, Dinghan Hu, Yaomin Wang, Jianzhong Wang, & Baiying Lei. (2021). Epileptic Classification With Deep-Transfer-Learning-Based Feature Fusion Algorithm. IEEE Transactions on Cognitive and Developmental Systems. 14(2). 684–695. 38 indexed citations
10.
Wang, Yaomin, Gangqiang Xiong, & Wenguang He. (2020). An Improved Reversible Data Hiding in Encrypted Image Method Based on Block Selection. IEEE Access. 8. 227036–227047. 4 indexed citations
11.
Wang, Yaomin, Zhanchuan Cai, & Wenguang He. (2020). High Capacity Reversible Data Hiding in Encrypted Image Based on Intra-Block Lossless Compression. IEEE Transactions on Multimedia. 23. 1466–1473. 49 indexed citations
12.
He, Wenguang, Zhanchuan Cai, & Yaomin Wang. (2020). High-Fidelity Reversible Image Watermarking Based on Effective Prediction Error-Pairs Modification. IEEE Transactions on Multimedia. 23. 52–63. 33 indexed citations
13.
Wang, Yaomin, Xia Wang, Haiyan Li, et al.. (2020). A multi-service differentiation traffic management strategy in SDN cloud data center. Computer Networks. 171. 107143–107143. 9 indexed citations
14.
Hu, Dinghan, Jiuwen Cao, Xiaoping Lai, et al.. (2020). Epileptic State Classification by Fusing Hand-Crafted and Deep Learning EEG Features. IEEE Transactions on Circuits & Systems II Express Briefs. 68(4). 1542–1546. 61 indexed citations
15.
He, Wenguang, Zhanchuan Cai, & Yaomin Wang. (2020). Flexible spatial location-based PVO predictor for high-fidelity reversible data hiding. Information Sciences. 520. 431–444. 26 indexed citations
16.
Wang, Yaomin, Zhanchuan Cai, & Wenguang He. (2019). A New High Capacity Separable Reversible Data Hiding in Encrypted Images Based on Block Selection and Block-Level Encryption. IEEE Access. 7. 175671–175680. 10 indexed citations
17.
Wang, Xia, et al.. (2019). Fibonacci multi-modal optimization algorithm in noisy environment. Applied Soft Computing. 88. 105874–105874. 7 indexed citations
18.
He, Wenguang, Gangqiang Xiong, Shaowei Weng, Zhanchuan Cai, & Yaomin Wang. (2018). Reversible data hiding using multi-pass pixel-value-ordering and pairwise prediction-error expansion. Information Sciences. 467. 784–799. 71 indexed citations
19.
Gong, Xiaofei, et al.. (2017). A depth estimation model from a single underwater image with non-uniform illumination correction. OCEANS 2017 - Aberdeen. 1–5. 3 indexed citations
20.

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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