Jinling Wang

56 total papers · 1.6k total citations
42 papers, 1.3k citations indexed

About

Jinling Wang is a scholar working on Control and Systems Engineering, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Jinling Wang has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 6 papers in Molecular Biology and 5 papers in Computer Networks and Communications. Recurrent topics in Jinling Wang's work include Stability and Control of Uncertain Systems (12 papers), Control and Stability of Dynamical Systems (6 papers) and Neural Networks Stability and Synchronization (4 papers). Jinling Wang is often cited by papers focused on Stability and Control of Uncertain Systems (12 papers), Control and Stability of Dynamical Systems (6 papers) and Neural Networks Stability and Synchronization (4 papers). Jinling Wang collaborates with scholars based in China, United States and Australia. Jinling Wang's co-authors include John L. Cleveland, Gerard P. Zambetti, James N. Ihle, Peter J. McKinnon, Chunying Yang, Jiawen Han, Jennifer Brennan, Youngsoo Lee, Thomas W. Chittenden and Evan Parganas and has published in prestigious journals such as Genes & Development, Circulation Research and Cancer Cell.

In The Last Decade

Jinling Wang

34 papers receiving 1.3k citations

Hit Papers

Puma is an essential medi... 2003 2026 2010 2018 2003 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Jinling Wang 788 451 157 132 110 42 1.3k
Yanming Zhao 941 1.2× 420 0.9× 197 1.3× 265 2.0× 64 0.6× 76 1.8k
Lianyu Chen 752 1.0× 627 1.4× 484 3.1× 258 2.0× 40 0.4× 56 1.8k
Jungwoon Lee 812 1.0× 166 0.4× 236 1.5× 107 0.8× 13 0.1× 49 1.3k
Yanjie Li 1.2k 1.5× 192 0.4× 552 3.5× 113 0.9× 61 0.6× 79 1.8k
Robert Czerwiński 849 1.1× 215 0.5× 127 0.8× 545 4.1× 12 0.1× 75 1.7k
Jiawang Wang 1.0k 1.3× 116 0.3× 749 4.8× 158 1.2× 33 0.3× 54 1.4k
Zengren Zhao 797 1.0× 213 0.5× 512 3.3× 111 0.8× 14 0.1× 64 1.2k
Akiko Murakami 735 0.9× 176 0.4× 161 1.0× 93 0.7× 54 0.5× 65 1.6k
Huimin Tao 585 0.7× 321 0.7× 297 1.9× 291 2.2× 5 0.0× 43 1.4k
Nobukiyo Tanaka 302 0.4× 180 0.4× 93 0.6× 70 0.5× 191 1.7× 67 1.2k

Countries citing papers authored by Jinling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jinling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinling Wang

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