Kaiyi Ji

71 total papers · 602 total citations
13 papers, 67 citations indexed

About

Kaiyi Ji is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Networks and Communications. According to data from OpenAlex, Kaiyi Ji has authored 13 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computational Mechanics and 3 papers in Computer Networks and Communications. Recurrent topics in Kaiyi Ji’s work include Stochastic Gradient Optimization Techniques (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Machine Learning and ELM (4 papers). Kaiyi Ji is often cited by papers focused on Stochastic Gradient Optimization Techniques (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Machine Learning and ELM (4 papers). Kaiyi Ji collaborates with scholars based in United States, Hong Kong and Canada. Kaiyi Ji's co-authors include Yi Zhou, Yingbin Liang, Michael M. Zavlanos, Yan Zhang, Zhe Wang, Vahid Tarokh, Zhe Wang, Junjie Yang, Ming Jen Tan and Jian Tan and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of Kaiyi Ji

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

Kaiyi Ji

12 papers receiving 65 citations

Fields of papers citing papers by Kaiyi Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kaiyi Ji

Since Specialization
Citations

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