Ling-Wei Kong

About

Ling-Wei Kong is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Ling-Wei Kong has authored 17 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 10 papers in Statistical and Nonlinear Physics and 8 papers in Computer Networks and Communications. Recurrent topics in Ling-Wei Kong’s work include Neural Networks and Reservoir Computing (10 papers), Nonlinear Dynamics and Pattern Formation (8 papers) and Model Reduction and Neural Networks (4 papers). Ling-Wei Kong is often cited by papers focused on Neural Networks and Reservoir Computing (10 papers), Nonlinear Dynamics and Pattern Formation (8 papers) and Model Reduction and Neural Networks (4 papers). Ling-Wei Kong collaborates with scholars based in United States, China and United Kingdom. Ling-Wei Kong's co-authors include Ying‐Cheng Lai, Huawei Fan, Celso Grebogi, Mulugeta Haile, Bryan Glaz, Zhongkui Sun, Yang Weng, Run-Ran Liu, Bing-Hong Wang and Ming Li and has published in prestigious journals such as Nature Communications, Chaos An Interdisciplinary Journal of Nonlinear Science and National Science Review.

In The Last Decade

Co-authorship network of co-authors of Ling-Wei Kong i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Ling-Wei Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ling-Wei Kong

Since Specialization

Citations

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

Explore authors with similar magnitude of impact