Zhenghui Zhao

704 total citations · 1 hit paper
15 papers, 483 citations indexed

About

Zhenghui Zhao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Zhenghui Zhao has authored 15 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Zhenghui Zhao's work include Advanced Image Processing Techniques (9 papers), Image and Signal Denoising Methods (5 papers) and Image Enhancement Techniques (4 papers). Zhenghui Zhao is often cited by papers focused on Advanced Image Processing Techniques (9 papers), Image and Signal Denoising Methods (5 papers) and Image Enhancement Techniques (4 papers). Zhenghui Zhao collaborates with scholars based in China, Hong Kong and United States. Zhenghui Zhao's co-authors include Siwei Ma, Shanshe Wang, Xinfeng Zhang, Shiqi Wang, Chuanmin Jia, Jianhui Chang, Jian Zhang, Wen Gao, Jiansheng Yang and Li Wang and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Zhenghui Zhao

12 papers receiving 463 citations

Hit Papers

Image and Video Compression With Neural Networks: A Review 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenghui Zhao China 8 423 182 36 28 19 15 483
Sungdae Cho United States 8 259 0.6× 103 0.6× 21 0.6× 34 1.2× 34 1.8× 25 324
Yaowu Xu United States 10 577 1.4× 423 2.3× 23 0.6× 35 1.3× 37 1.9× 53 629
V. Bhaskaran United States 12 448 1.1× 312 1.7× 38 1.1× 28 1.0× 43 2.3× 29 529
Mengmeng Zhang China 10 322 0.8× 271 1.5× 26 0.7× 20 0.7× 18 0.9× 97 407
Tie Liu China 6 333 0.8× 109 0.6× 29 0.8× 8 0.3× 35 1.8× 8 386
Alexandre Mercat Finland 8 492 1.2× 384 2.1× 20 0.6× 34 1.2× 29 1.5× 40 546
Yo-Sung Ho South Korea 11 430 1.0× 210 1.2× 22 0.6× 15 0.5× 34 1.8× 31 467
Christian Herglotz Germany 11 264 0.6× 220 1.2× 11 0.3× 71 2.5× 15 0.8× 57 353
Kenneth Andersson Sweden 9 528 1.2× 420 2.3× 6 0.2× 29 1.0× 18 0.9× 23 574
Francisco García-Ugalde Mexico 9 273 0.6× 66 0.4× 15 0.4× 17 0.6× 63 3.3× 49 341

Countries citing papers authored by Zhenghui Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Zhenghui Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenghui Zhao

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

All Works

15 of 15 papers shown
1.
Zhao, Zhenghui, Lixiang Ru, Chen Wu, & Di Wang. (2025). TransWCD: Scene-Adaptive Joint Constrained Framework for Weakly Supervised Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–12.
4.
Cai, Zhiming, et al.. (2025). Variable Selection and Fusion Sampling of Unbalanced Data in Credit Risk Assessment. Computational Economics.
5.
Chang, Jianhui, et al.. (2021). Thousand to One: Semantic Prior Modeling for Conceptual Coding. 1–6. 16 indexed citations
6.
Zhao, Zhenghui, Chuanmin Jia, Shanshe Wang, Siwei Ma, & Jiansheng Yang. (2021). Learned Image Compression Using Adaptive Block-Wise Encoding and Reconstruction Network. 1–5. 9 indexed citations
7.
Ma, Siwei, Xinfeng Zhang, Chuanmin Jia, et al.. (2019). Image and Video Compression With Neural Networks: A Review. IEEE Transactions on Circuits and Systems for Video Technology. 30(6). 1683–1698. 310 indexed citations breakdown →
8.
Jia, Chuanmin, Zhenghui Zhao, Li Wang, et al.. (2019). Residual in Residual Based Convolutional Neural Network In-loop Filter for AVS3. 1–5. 16 indexed citations
9.
Chang, Jianhui, Qi Mao, Zhenghui Zhao, et al.. (2019). Layered Conceptual Image Compression Via Deep Semantic Synthesis. 694–698. 15 indexed citations
10.
Zhao, Zhenghui, et al.. (2019). Disentangled Human Action Video Generation via Decoupled Learning. 495–500. 3 indexed citations
11.
Zhao, Zhenghui, et al.. (2019). Bi-Intra Prediction for Versatile Video Coding. 587–587. 2 indexed citations
12.
Zhao, Zhenghui, et al.. (2018). Enhanced Bi-Prediction With Convolutional Neural Network for High-Efficiency Video Coding. IEEE Transactions on Circuits and Systems for Video Technology. 29(11). 3291–3301. 54 indexed citations
13.
Zhao, Zhenghui, et al.. (2018). Light Field Image Compression Based on Deep Learning. 1–6. 33 indexed citations
14.
Zhao, Zhenghui, et al.. (2018). CNN-Based Bi-Directional Motion Compensation for High Efficiency Video Coding. 1–4. 22 indexed citations
15.
Zhao, Zhenghui, Xiang Zhang, Jian Zhang, et al.. (2016). Improved entropy of primitive for visual information estimation. 54. 1–4. 2 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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