Wei Jin

141 total papers · 3.3k total citations
25 papers, 385 citations indexed

About

Wei Jin is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wei Jin has authored 25 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Molecular Biology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wei Jin’s work include Advanced Graph Neural Networks (7 papers), Single-cell and spatial transcriptomics (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Wei Jin is often cited by papers focused on Advanced Graph Neural Networks (7 papers), Single-cell and spatial transcriptomics (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Wei Jin collaborates with scholars based in United States, China and Hong Kong. Wei Jin's co-authors include Jiliang Tang, Han Xu, Charų C. Aggarwal, Hongzhi Wen, Wenqi Fan, Shuiwang Ji, Xiaorui Liu, Eduardo Blanco, Abhishek Singh and Yuying Xie and has published in prestigious journals such as Genome biology, IEEE Transactions on Image Processing and Engineering Applications of Artificial Intelligence.

Co-authorship network of co-authors of Wei Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Jin. A scholar is included among the top collaborators of Wei 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 Wei Jin. Wei Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Wei Jin

22 papers receiving 375 citations

Fields of papers citing papers by Wei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wei Jin

Since Specialization
Citations

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

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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