Anhong Wang

1.8k total citations
170 papers, 1.2k citations indexed

About

Anhong Wang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Anhong Wang has authored 170 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Computer Vision and Pattern Recognition, 44 papers in Electrical and Electronic Engineering and 34 papers in Signal Processing. Recurrent topics in Anhong Wang's work include Advanced Image Processing Techniques (32 papers), Advanced Data Compression Techniques (28 papers) and Advanced Vision and Imaging (27 papers). Anhong Wang is often cited by papers focused on Advanced Image Processing Techniques (32 papers), Advanced Data Compression Techniques (28 papers) and Advanced Vision and Imaging (27 papers). Anhong Wang collaborates with scholars based in China, Canada and United Arab Emirates. Anhong Wang's co-authors include Huihui Bai, Yao Zhao, Lijun Zhao, Bing Zeng, Jie Liang, Chin‐Chen Chang, Hong Shangguan, Xiong Zhang, Suyue Li and Sami Muhaidat and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Anhong Wang

155 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
Anhong Wang China 19 749 257 182 161 146 170 1.2k
Yaqin Zhao China 20 270 0.4× 288 1.1× 151 0.8× 41 0.3× 52 0.4× 93 1.0k
Guocan Feng China 19 886 1.2× 133 0.5× 143 0.8× 158 1.0× 46 0.3× 76 1.3k
Kim–Hui Yap Singapore 22 1.3k 1.7× 78 0.3× 329 1.8× 116 0.7× 140 1.0× 138 1.6k
Zhengguang Xu China 14 370 0.5× 227 0.9× 106 0.6× 103 0.6× 36 0.2× 59 831
Yizeng Han China 12 559 0.7× 141 0.5× 113 0.6× 62 0.4× 29 0.2× 22 1.0k
Bo Peng China 20 757 1.0× 46 0.2× 203 1.1× 128 0.8× 78 0.5× 90 1.0k
Nicolás Guil Spain 16 734 1.0× 103 0.4× 106 0.6× 91 0.6× 33 0.2× 87 1.0k
Supavadee Aramvith Thailand 16 578 0.8× 100 0.4× 127 0.7× 209 1.3× 20 0.1× 116 851
Aidong Men China 18 574 0.8× 480 1.9× 98 0.5× 214 1.3× 32 0.2× 144 1.2k
Sunil Agrawal India 18 593 0.8× 374 1.5× 508 2.8× 65 0.4× 29 0.2× 96 1.4k

Countries citing papers authored by Anhong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Anhong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anhong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Anhong Wang. A scholar is included among the top collaborators of Anhong 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 Anhong Wang. Anhong 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
2.
Chang, Chin‐Chen, et al.. (2024). Reversible data hiding in encrypted images with block-based bit-plane reallocation. Multimedia Tools and Applications. 83(37). 84911–84932. 1 indexed citations
3.
Yang, Fan, et al.. (2024). High-capacity multi-MSB predictive reversible data hiding in encrypted domain for triangular mesh models. Journal of Visual Communication and Image Representation. 103. 104246–104246. 2 indexed citations
4.
Zhao, Lijun, et al.. (2024). Joint Discontinuity-Aware Depth Map Super-Resolution via Dual-Tasks Driven Unfolding Network. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 3 indexed citations
5.
Zhao, Lijun, et al.. (2024). A Wavelet-Domain Consistency-Constrained Compressive Sensing Framework Based on Memory-Boosted Guidance Filtering. IEEE Transactions on Instrumentation and Measurement. 73. 1–16. 8 indexed citations
6.
Wang, Anhong, et al.. (2024). Lamb mode identification based on lightweight CNN. Nondestructive Testing And Evaluation. 40(8). 3531–3544.
7.
Wang, Anhong, et al.. (2023). State-Aware High-Order Diffusion Method for Edge Detection in the Wavelet Domain. Symmetry. 15(4). 803–803.
8.
Li, Suyue, Sen Yan, Lina Bariah, Sami Muhaidat, & Anhong Wang. (2023). IRS-Assisted Full Duplex Systems Over Rician and Nakagami Fading Channels. IEEE Open Journal of Vehicular Technology. 4. 217–229. 16 indexed citations
9.
Zhang, Xiong, et al.. (2023). Predicting remaining useful life of a machine based on embedded attention parallel networks. Mechanical Systems and Signal Processing. 192. 110221–110221. 30 indexed citations
10.
Li, Suyue, et al.. (2022). STBC-Assisted MDC-NOMA Image Transmission Scheme for Multi-Antenna Systems. IEEE Transactions on Broadcasting. 68(3). 677–688. 4 indexed citations
11.
Li, Suyue, Lina Bariah, Sami Muhaidat, Anhong Wang, & Jie Liang. (2022). Outage Analysis of NOMA-Enabled Backscatter Communications With Intelligent Reflecting Surfaces. IEEE Internet of Things Journal. 9(16). 15390–15400. 33 indexed citations
12.
Li, Suyue, et al.. (2021). NOMA-Based User Cooperation With Incremental Hybrid Forwarding Protocols. IEEE Open Journal of the Communications Society. 2. 2536–2546. 3 indexed citations
13.
Zhang, Xiong, et al.. (2021). Surface Defect Detection of Solar Cells Based on Multiscale Region Proposal Fusion Network. IEEE Access. 9. 62093–62101. 15 indexed citations
14.
Li, Suyue, Lina Bariah, Sami Muhaidat, et al.. (2020). SWIPT-Enabled Cooperative NOMA With mth Best Relay Selection. IEEE Open Journal of the Communications Society. 1. 1798–1807. 12 indexed citations
15.
Li, Zhihong, et al.. (2020). Reversible Data Hiding with Contrast Enhancement Based on Laplacian Image Sharpening. International journal of network security. 22(6). 966–974. 1 indexed citations
16.
Yang, Linlin, et al.. (2019). High-Frequency Sensitive Generative Adversarial Network for Low-Dose CT Image Denoising. IEEE Access. 8. 930–943. 25 indexed citations
17.
Liu, Li, Anhong Wang, Chin‐Chen Chang, Zhihong Li, & Jinbo Liu. (2015). A Lossy Secret Color Image Sharing Scheme with Small Shadows and Error-resilient Capability.. J. Inf. Hiding Multim. Signal Process.. 6. 246–253. 6 indexed citations
18.
Zhang, Xue, Anhong Wang, Bing Zeng, & Lei Liu. (2014). Adaptive Distributed Compressed Video Sensing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5(1). 98–106. 12 indexed citations
19.
Wang, Anhong, et al.. (2014). Depth Coding Based on Compressed Sensing with Optimized Measurement and Quantization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5(3). 475–484. 4 indexed citations
20.
Wang, Anhong, et al.. (2013). Distributed Compressive Video Sensing with Adaptive Measurements Based on Structural Similarity. Chinese Journal of Electronics. 22(3). 594. 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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