Wei Jin

141 total papers · 3.3k total citations
56 papers, 1.7k citations indexed

About

Wei Jin is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Wei Jin has authored 56 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 11 papers in Molecular Biology and 7 papers in Information Systems. Recurrent topics in Wei Jin's work include Advanced Graph Neural Networks (22 papers), Topic Modeling (12 papers) and Adversarial Robustness in Machine Learning (7 papers). Wei Jin is often cited by papers focused on Advanced Graph Neural Networks (22 papers), Topic Modeling (12 papers) and Adversarial Robustness in Machine Learning (7 papers). Wei Jin collaborates with scholars based in United States, China and Hong Kong. Wei Jin's co-authors include Jiliang Tang, Yao Ma, Xiaorui Liu, Suhang Wang, Yiqi Wang, Xianfeng Tang, Caiyan Jia, Xiaoyang Wang, Xin Wang and Jian Yu and has published in prestigious journals such as IEEE Transactions on Image Processing, Genome biology and Engineering Applications of Artificial Intelligence.

In The Last Decade

Wei Jin

48 papers receiving 1.6k citations

Hit Papers

Traffic Flow Prediction v... 2020 2026 2022 2024 2020 2020 2024 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Wei Jin 1.1k 278 252 225 220 56 1.7k
Yu Zheng 810 0.8× 204 0.7× 295 1.2× 192 0.9× 368 1.7× 77 1.7k
Ting Zhong 798 0.8× 301 1.1× 331 1.3× 465 2.1× 206 0.9× 99 1.6k
Caiyan Jia 444 0.4× 257 0.9× 129 0.5× 206 0.9× 458 2.1× 77 1.5k
Shaojie Qiao 777 0.7× 245 0.9× 363 1.4× 389 1.7× 361 1.6× 142 2.2k
Hao Wu 482 0.5× 205 0.7× 207 0.8× 176 0.8× 414 1.9× 64 1.3k
Zhanxing Zhu 717 0.7× 432 1.6× 176 0.7× 288 1.3× 447 2.0× 52 1.7k
Siyuan Liu 505 0.5× 146 0.5× 269 1.1× 342 1.5× 125 0.6× 76 1.4k
Jianbin Huang 607 0.6× 106 0.4× 233 0.9× 202 0.9× 182 0.8× 96 1.7k
Tong Xu 1.1k 1.1× 118 0.4× 457 1.8× 97 0.4× 509 2.3× 147 2.2k
Jiejun Xu 757 0.7× 86 0.3× 201 0.8× 65 0.3× 424 1.9× 48 1.6k

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).

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.

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.

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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