Jianyi Wang

51 total papers · 1.5k total citations
24 papers, 623 citations indexed

About

Jianyi Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Jianyi Wang has authored 24 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Control and Systems Engineering. Recurrent topics in Jianyi Wang's work include Advanced Image Processing Techniques (5 papers), Image and Signal Denoising Methods (4 papers) and Iterative Learning Control Systems (4 papers). Jianyi Wang is often cited by papers focused on Advanced Image Processing Techniques (5 papers), Image and Signal Denoising Methods (4 papers) and Iterative Learning Control Systems (4 papers). Jianyi Wang collaborates with scholars based in China, Singapore and United States. Jianyi Wang's co-authors include Chen Change Loy, Kelvin C. K. Chan, Mai Xu, Yuhang Song, Liangyu Huo, Zulin Wang, Minglang Qiao, Zongsheng Yue, Shangchen Zhou and Youyi Wang and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision.

In The Last Decade

Jianyi Wang

22 papers receiving 612 citations

Hit Papers

Exploring CLIP for Assess... 2023 2026 2024 2023 2024 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jianyi Wang 465 134 76 64 29 24 623
Vishvjit S. Nalwa 630 1.4× 137 1.0× 39 0.5× 73 1.1× 24 0.8× 13 746
D. Reisfeld 613 1.3× 75 0.6× 51 0.7× 69 1.1× 29 1.0× 20 763
Fatih Porikli 460 1.0× 99 0.7× 39 0.5× 117 1.8× 14 0.5× 31 610
Jie Li 458 1.0× 48 0.4× 81 1.1× 52 0.8× 33 1.1× 39 618
Zheng Lu 635 1.4× 60 0.4× 151 2.0× 103 1.6× 36 1.2× 36 767
Haitao Wang 525 1.1× 116 0.9× 77 1.0× 97 1.5× 26 0.9× 23 731
Chung-Lin Huang 496 1.1× 66 0.5× 144 1.9× 79 1.2× 12 0.4× 29 567
He-Qin Zhou 663 1.4× 63 0.5× 78 1.0× 25 0.4× 27 0.9× 42 746
Daryl T. Lawton 535 1.2× 58 0.4× 32 0.4× 115 1.8× 21 0.7× 35 788
Hao Zhao 476 1.0× 62 0.5× 40 0.5× 142 2.2× 31 1.1× 45 740

Countries citing papers authored by Jianyi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jianyi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianyi Wang

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

All Works

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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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