Zhongyuan Wang

15.4k total citations · 8 hit papers
364 papers, 10.1k citations indexed

About

Zhongyuan Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Zhongyuan Wang has authored 364 papers receiving a total of 10.1k indexed citations (citations by other indexed papers that have themselves been cited), including 235 papers in Computer Vision and Pattern Recognition, 71 papers in Artificial Intelligence and 66 papers in Media Technology. Recurrent topics in Zhongyuan Wang's work include Advanced Image Processing Techniques (97 papers), Advanced Vision and Imaging (55 papers) and Image and Signal Denoising Methods (54 papers). Zhongyuan Wang is often cited by papers focused on Advanced Image Processing Techniques (97 papers), Advanced Vision and Imaging (55 papers) and Image and Signal Denoising Methods (54 papers). Zhongyuan Wang collaborates with scholars based in China, United States and United Kingdom. Zhongyuan Wang's co-authors include Junjun Jiang, Kui Jiang, Peng Yi, Jiayi Ma, Zhenfeng Shao, Ruimin Hu, Tao Lü, Zhen Han, Chen Chen and Haixun Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Zhongyuan Wang

327 papers receiving 9.8k citations

Hit Papers

Multi-Scale Progressive F... 2018 2026 2020 2023 2020 2019 2019 2018 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongyuan Wang China 55 6.0k 2.4k 2.2k 822 646 364 10.1k
Jinhui Tang China 68 13.3k 2.2× 1.9k 0.8× 5.5k 2.5× 996 1.2× 1.0k 1.6× 459 18.8k
Jing Zhang China 48 3.5k 0.6× 1.4k 0.6× 2.0k 0.9× 455 0.6× 269 0.4× 571 9.3k
Huimin Lu China 49 4.4k 0.7× 1.6k 0.6× 2.0k 0.9× 565 0.7× 337 0.5× 372 8.8k
Yue Zhang China 43 2.3k 0.4× 1.0k 0.4× 2.6k 1.2× 330 0.4× 194 0.3× 480 9.1k
Jian Zhang China 53 6.4k 1.1× 656 0.3× 6.4k 3.0× 1.0k 1.2× 631 1.0× 535 13.5k
Xin Xu China 51 2.5k 0.4× 426 0.2× 3.0k 1.4× 461 0.6× 515 0.8× 465 10.5k
Jue Wang China 57 7.9k 1.3× 2.1k 0.9× 1.1k 0.5× 177 0.2× 417 0.6× 404 11.4k
Xiaoqin Zhang China 48 2.8k 0.5× 729 0.3× 2.3k 1.1× 224 0.3× 184 0.3× 339 8.2k
Yong Liu China 45 4.0k 0.7× 634 0.3× 4.6k 2.1× 328 0.4× 361 0.6× 568 11.6k
Ashish Ghosh India 50 1.4k 0.2× 1.4k 0.6× 1.9k 0.9× 457 0.6× 188 0.3× 395 8.5k

Countries citing papers authored by Zhongyuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhongyuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongyuan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongyuan Wang. A scholar is included among the top collaborators of Zhongyuan 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 Zhongyuan Wang. Zhongyuan 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.
Ding, Xin, et al.. (2025). Unsupervised learning non-uniform face enhancement under physics-guided model of illumination decoupling. Pattern Recognition. 162. 111354–111354.
2.
Ni, Zhixin, Xin Chen, Minxia Zhang, et al.. (2025). Hydrodynamics and soluble organic matter regulated the availability of heavy metals in sediment in the Pearl River estuary. Marine Environmental Research. 211. 107363–107363.
4.
Ren, Ziwu, Zhongyuan Wang, Xiaohan Liu, & Rui Lin. (2024). Parameterization-based trajectory planning for an 8-DOF manipulator with multiple constraints. SHILAP Revista de lepidopterología. 5(1). 100193–100193. 1 indexed citations
6.
Yi, Benshun, et al.. (2024). Bidirectional scale-aware upsampling network for arbitrary-scale video super-resolution. Image and Vision Computing. 148. 105116–105116. 1 indexed citations
7.
Huang, Baojin, et al.. (2024). Adversarial intensity awareness for robust object detection. Computer Vision and Image Understanding. 251. 104252–104252.
8.
Chen, Long, et al.. (2024). Deep motion estimation through adversarial learning for gait recognition. Pattern Recognition Letters. 184. 232–237. 1 indexed citations
9.
Xie, Su, et al.. (2024). Testing the Causal Association Between Metabolic Syndrome and Periodontitis: A Two-sample Mendelian Randomisation Study. International Dental Journal. 75(2). 707–715. 1 indexed citations
10.
Tian, Xin, et al.. (2023). Interpretable Model-Driven Deep Network for Hyperspectral, Multispectral, and Panchromatic Image Fusion. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 14382–14395. 26 indexed citations
11.
Cheng, Qimin, et al.. (2022). NWPU-Captions Dataset and MLCA-Net for Remote Sensing Image Captioning. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–19. 68 indexed citations
12.
Huang, Baojin, Zhongyuan Wang, Kui Jiang, et al.. (2022). Joint Segmentation and Identification Feature Learning for Occlusion Face Recognition. IEEE Transactions on Neural Networks and Learning Systems. 34(12). 10875–10888. 24 indexed citations
13.
Tian, Xin, et al.. (2021). VP-Net: An Interpretable Deep Network for Variational Pansharpening. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 39 indexed citations
14.
Jiang, Kui, Zhongyuan Wang, Peng Yi, & Junjun Jiang. (2020). Hierarchical dense recursive network for image super-resolution. Pattern Recognition. 107. 107475–107475. 199 indexed citations
15.
Jiang, Kui, Zhongyuan Wang, Peng Yi, et al.. (2019). Edge-Enhanced GAN for Remote Sensing Image Superresolution. IEEE Transactions on Geoscience and Remote Sensing. 57(8). 5799–5812. 416 indexed citations breakdown →
16.
Wang, Guangcheng, Zhongyuan Wang, Ke Gu, et al.. (2019). Blind Quality Metric of DIBR-Synthesized Images in the Discrete Wavelet Transform Domain. IEEE Transactions on Image Processing. 29. 1802–1814. 58 indexed citations
17.
Zhou, Liguo, Zhongyuan Wang, Yimin Luo, & Zixiang Xiong. (2019). Separability and Compactness Network for Image Recognition and Superresolution. IEEE Transactions on Neural Networks and Learning Systems. 30(11). 3275–3286. 69 indexed citations
18.
Jiang, Kui, Zhongyuan Wang, Peng Yi, & Junjun Jiang. (2018). A Progressively Enhanced Network for Video Satellite Imagery Superresolution. IEEE Signal Processing Letters. 25(11). 1630–1634. 59 indexed citations
19.
Song, Yangqiu, Haixun Wang, Zhongyuan Wang, Hongsong Li, & Weizhu Chen. (2011). Short text conceptualization using a probabilistic knowledgebase. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2330–2336. 132 indexed citations
20.
Wang, Zhongyuan, et al.. (2007). Study on Video Coding Subsystem Design of H.323 Video Conference System. 电子与信息学报. 29(7). 1596–1599.

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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