Kaiyue Pang

911 total citations
21 papers, 496 citations indexed

About

Kaiyue Pang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Kaiyue Pang has authored 21 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Computational Mechanics. Recurrent topics in Kaiyue Pang's work include Advanced Image and Video Retrieval Techniques (9 papers), Multimodal Machine Learning Applications (9 papers) and Image Retrieval and Classification Techniques (5 papers). Kaiyue Pang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (9 papers), Multimodal Machine Learning Applications (9 papers) and Image Retrieval and Classification Techniques (5 papers). Kaiyue Pang collaborates with scholars based in United Kingdom, China and Nepal. Kaiyue Pang's co-authors include Yi-Zhe Song, Timothy M. Hospedales, Tao Xiang, Zhanyu Ma, Ke Li, Honggang Zhang, Jun Guo, Yongxin Yang, Jifei Song and Dongliang Chang and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and Frontiers in Plant Science.

In The Last Decade

Kaiyue Pang

18 papers receiving 493 citations

Peers

Kaiyue Pang
Comparison fields: 5 of 49
  • Computer Vision and Pattern Recognition 423
  • Artificial Intelligence 121
  • Computational Mechanics 56
  • Computer Graphics and Computer-Aided Design 44
  • Cognitive Neuroscience 33
Replace Cusuh Ham with:
Cusuh Ham United States
Zilong Zheng China
Rosalia Schneider United States
Jeffrey Wu United States
Zhenzhong Kuang China
Yael Vinker Israel
Artsiom Sanakoyeu Germany
Aliaksandr Siarohin United States
Weize Quan China
Yue Jiang Finland
Cusuh Ham United States View profile →
Citations per field, relative to Kaiyue Pang
Kaiyue Pang · 1×
Citations per year, relative to Kaiyue Pang
Kaiyue Pang · 1×

Countries citing papers authored by Kaiyue Pang

Since Specialization
Citations

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

Fields of papers citing papers by Kaiyue Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiyue Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiyue Pang. A scholar is included among the top collaborators of Kaiyue Pang 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 Kaiyue Pang. Kaiyue Pang 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
# Work Indexed citations
1 0
2 1
3 1
4 1
5 0
6 4
7 2
8 5
9 3
10 6
11 74
12 57
13 7
14 19
15 68
16 69
17 87
18 31
19 44
20 17

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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