Pengyi Hao

66 total papers · 428 total citations
38 papers, 304 citations indexed

About

Pengyi Hao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Pengyi Hao has authored 38 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Pengyi Hao's work include Advanced Image and Video Retrieval Techniques (11 papers), Face and Expression Recognition (8 papers) and Image Retrieval and Classification Techniques (5 papers). Pengyi Hao is often cited by papers focused on Advanced Image and Video Retrieval Techniques (11 papers), Face and Expression Recognition (8 papers) and Image Retrieval and Classification Techniques (5 papers). Pengyi Hao collaborates with scholars based in China, Japan and Hong Kong. Pengyi Hao's co-authors include Cong Bai, Fuli Wu, Peng Zhang, Jinglin Zhang, Qieshi Zhang, Zhihe Li, Xiang Gao, Ziliang Ren, Yijing Liu and Wei Chen and has published in prestigious journals such as IEEE Access, Neurocomputing and Computer Methods and Programs in Biomedicine.

In The Last Decade

Pengyi Hao

35 papers receiving 286 citations

Author Peers

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

Author Last Decade Papers Cites
Pengyi Hao 112 93 80 66 60 38 304
Selene Tomassini 85 0.8× 78 0.8× 77 1.0× 111 1.7× 38 0.6× 27 317
Hieu H. Pham 70 0.6× 122 1.3× 47 0.6× 168 2.5× 37 0.6× 33 366
D. Narain Ponraj 82 0.7× 106 1.1× 44 0.6× 136 2.1× 12 0.2× 28 277
R Lavanya 67 0.6× 61 0.7× 20 0.3× 84 1.3× 71 1.2× 62 286
Sawon Pratiher 76 0.7× 65 0.7× 43 0.5× 83 1.3× 89 1.5× 45 351
Vassilis Tsakanikas 115 1.0× 36 0.4× 51 0.6× 55 0.8× 41 0.7× 37 324
Parisa Gifani 65 0.6× 185 2.0× 37 0.5× 90 1.4× 65 1.1× 22 309
Zhen Zhang 52 0.5× 153 1.6× 54 0.7× 52 0.8× 23 0.4× 33 355
K. Meenakshi 78 0.7× 112 1.2× 21 0.3× 94 1.4× 34 0.6× 27 353
Bülent Bölat 81 0.7× 39 0.4× 16 0.2× 94 1.4× 26 0.4× 47 342

Countries citing papers authored by Pengyi Hao

Since Specialization
Citations

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

Fields of papers citing papers by Pengyi Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengyi Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Pengyi Hao. A scholar is included among the top collaborators of Pengyi Hao 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 Pengyi Hao. Pengyi Hao 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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