Jun Miao

41 total papers · 683 total citations
28 papers, 496 citations indexed

About

Jun Miao is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Jun Miao has authored 28 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 4 papers in Aerospace Engineering and 3 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Jun Miao's work include Video Surveillance and Tracking Methods (13 papers), Advanced Neural Network Applications (9 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Jun Miao is often cited by papers focused on Video Surveillance and Tracking Methods (13 papers), Advanced Neural Network Applications (9 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Jun Miao collaborates with scholars based in China, South Korea and Hong Kong. Jun Miao's co-authors include Jun Chu, Lu Leng, Yiqing Zhang, Baocai Yin, Xue-Cun Chen, Shen Lan-sun, Kongqiao Wang, Byung‐Gyu Kim, Lingfeng Wang and Lu Leng and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Jun Miao

24 papers receiving 468 citations

Author Peers

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

Author Last Decade Papers Cites
Jun Miao 377 73 53 49 33 28 496
Chao Ma 265 0.7× 78 1.1× 43 0.8× 62 1.3× 20 0.6× 40 551
Hao Zhou 290 0.8× 96 1.3× 42 0.8× 51 1.0× 54 1.6× 22 538
Guibo Zhu 394 1.0× 146 2.0× 42 0.8× 63 1.3× 60 1.8× 32 532
Moataz M. Abdelwahab 251 0.7× 53 0.7× 52 1.0× 44 0.9× 28 0.8× 45 487
Yancheng Bai 465 1.2× 131 1.8× 71 1.3× 53 1.1× 17 0.5× 21 524
Liqi Yan 378 1.0× 109 1.5× 51 1.0× 62 1.3× 11 0.3× 19 468
Alberto Rosales 369 1.0× 68 0.9× 136 2.6× 46 0.9× 16 0.5× 52 561
Ao Luo 492 1.3× 106 1.5× 75 1.4× 46 0.9× 16 0.5× 28 619
Fatih Porikli 460 1.2× 117 1.6× 99 1.9× 49 1.0× 20 0.6× 31 610
Renshu Gu 418 1.1× 93 1.3× 65 1.2× 73 1.5× 40 1.2× 39 521

Countries citing papers authored by Jun Miao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Miao

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