Hao Shi

193 total papers · 1.3k total citations
76 papers, 725 citations indexed

About

Hao Shi is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Hao Shi has authored 76 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 11 papers in Aerospace Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Hao Shi's work include Robotics and Sensor-Based Localization (11 papers), Advanced Vision and Imaging (11 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Hao Shi is often cited by papers focused on Robotics and Sensor-Based Localization (11 papers), Advanced Vision and Imaging (11 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Hao Shi collaborates with scholars based in China, Germany and United Kingdom. Hao Shi's co-authors include Kailun Yang, Kaiwei Wang, Qing Miao, Muhammad Asif, Jinsoo Hwang, Shaohua Gao, Jian Bai, Zhonglu Liu, Xiaojiao Liu and Rainer Stiefelhagen and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Hao Shi

61 papers receiving 707 citations

Author Peers

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

Author Last Decade Papers Cites
Hao Shi 192 96 73 65 62 76 725
Yuan Shao 50 0.3× 100 1.0× 75 1.0× 74 1.1× 29 0.5× 29 736
Hieu Thanh Nguyen 328 1.7× 18 0.2× 82 1.1× 77 1.2× 45 0.7× 28 791
Fei Gao 74 0.4× 55 0.6× 78 1.1× 37 0.6× 18 0.3× 55 668
Juliana Johari 57 0.3× 172 1.8× 55 0.8× 46 0.7× 16 0.3× 66 809
Fan Li 68 0.4× 28 0.3× 74 1.0× 28 0.4× 15 0.2× 71 863
Wenyan Tang 68 0.4× 47 0.5× 80 1.1× 66 1.0× 7 0.1× 81 763
Keiichi Nakata 44 0.2× 61 0.6× 73 1.0× 14 0.2× 15 0.2× 79 756
Pranowo Pranowo 62 0.3× 13 0.1× 92 1.3× 26 0.4× 42 0.7× 105 767
Fahad Ghabban 56 0.3× 96 1.0× 159 2.2× 15 0.2× 42 0.7× 56 906
Xing Su 44 0.2× 29 0.3× 30 0.4× 19 0.3× 49 0.8× 49 822

Countries citing papers authored by Hao Shi

Since Specialization
Citations

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

Fields of papers citing papers by Hao Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Shi

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