Kaixuan Wei

29 total papers · 903 total citations
14 papers, 536 citations indexed

About

Kaixuan Wei is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Instrumentation. According to data from OpenAlex, Kaixuan Wei has authored 14 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 2 papers in Instrumentation. Recurrent topics in Kaixuan Wei's work include Image and Signal Denoising Methods (4 papers), Advanced Image Fusion Techniques (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Kaixuan Wei is often cited by papers focused on Image and Signal Denoising Methods (4 papers), Advanced Image Fusion Techniques (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Kaixuan Wei collaborates with scholars based in China, United States and Saudi Arabia. Kaixuan Wei's co-authors include Ying Fu, Hua Huang, Jiaolong Yang, Yinqiang Zheng, Linwei Chen, Felix Heide, Dezhi Zheng, Lixiong Wen, Jiawei Zhang and Ran Tao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and Science Advances.

In The Last Decade

Kaixuan Wei

13 papers receiving 519 citations

Author Peers

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

Author						Papers	Cites
Kaixuan Wei	415	272	55	50	43	14	536
Shuochen Su	503 1.2×	234 0.9×	31 0.6×	70 1.4×	16 0.4×	9	608
A. Vorozcovs	361 0.9×	129 0.5×	78 1.4×	36 0.7×	14 0.3×	16	546
Weidong Sheng	249 0.6×	144 0.5×	61 1.1×	23 0.5×	15 0.3×	22	460
Xiaoyu Xiang	331 0.8×	131 0.5×	95 1.7×	21 0.4×	18 0.4×	24	499
Tao Jin	207 0.5×	105 0.4×	152 2.8×	61 1.2×	42 1.0×	26	517
Pengfei Fan	290 0.7×	135 0.5×	135 2.5×	141 2.8×	37 0.9×	17	600
H.-S. Don	368 0.9×	97 0.4×	32 0.6×	38 0.8×	50 1.2×	16	468
Chongzhen Zhang	340 0.8×	115 0.4×	42 0.8×	54 1.1×	11 0.3×	22	527
Chenyang Lei	373 0.9×	55 0.2×	29 0.5×	68 1.4×	26 0.6×	27	476
Adam Markman	292 0.7×	298 1.1×	50 0.9×	129 2.6×	8 0.2×	27	600

Countries citing papers authored by Kaixuan Wei

Since Specialization

Citations

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

Fields of papers citing papers by Kaixuan Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaixuan Wei

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