Weike Jin

21 total papers · 407 total citations
14 papers, 251 citations indexed

About

Weike Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Weike Jin has authored 14 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Human-Computer Interaction. Recurrent topics in Weike Jin's work include Human Pose and Action Recognition (11 papers), Multimodal Machine Learning Applications (11 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Weike Jin is often cited by papers focused on Human Pose and Action Recognition (11 papers), Multimodal Machine Learning Applications (11 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Weike Jin collaborates with scholars based in China and Sweden. Weike Jin's co-authors include Zhou Zhao, Yueting Zhuang, Jun Xiao, Xiaofei He, Jun Yu, Xiuqiang He, Jieming Zhu, Xingshan Zeng, Fei Wu and Richang Hong and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Multimedia.

In The Last Decade

Weike Jin

14 papers receiving 247 citations

Author Peers

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

Author Last Decade Papers Cites
Weike Jin 201 110 58 48 23 14 251
Yuyu Xu 134 0.7× 75 0.7× 58 1.0× 27 0.6× 35 1.5× 15 255
A. Sumru Özsoy 136 0.7× 69 0.6× 25 0.4× 36 0.8× 7 0.3× 15 212
Taras Kucherenko 133 0.7× 85 0.8× 93 1.6× 25 0.5× 29 1.3× 15 243
Amit Moryossef 88 0.4× 100 0.9× 101 1.7× 75 1.6× 2 0.1× 14 193
Shruti Palaskar 76 0.4× 56 0.5× 95 1.6× 71 1.5× 16 0.7× 10 161
Christoph Schmidt 132 0.7× 85 0.8× 204 3.5× 152 3.2× 5 0.2× 15 276
Sohaïb Laraba 105 0.5× 24 0.2× 38 0.7× 14 0.3× 10 0.4× 13 169
Ralph Gasser 243 1.2× 110 1.0× 20 0.3× 13 0.3× 9 0.4× 21 299
Md. Sabbir Ejaz 186 0.9× 31 0.3× 14 0.2× 11 0.2× 45 2.0× 14 275
Yen-Shou Lai 221 1.1× 27 0.2× 13 0.2× 24 0.5× 16 0.7× 13 316

Countries citing papers authored by Weike Jin

Since Specialization
Citations

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

Fields of papers citing papers by Weike Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weike Jin

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