Ming Yong

12 total papers · 408 total citations
6 papers, 112 citations indexed

About

Ming Yong is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Marketing. According to data from OpenAlex, Ming Yong has authored 6 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Networks and Communications, 1 paper in Control and Systems Engineering and 1 paper in Marketing. Recurrent topics in Ming Yong's work include Transportation Planning and Optimization (1 paper), Customer Service Quality and Loyalty (1 paper) and Customer churn and segmentation (1 paper). Ming Yong is often cited by papers focused on Transportation Planning and Optimization (1 paper), Customer Service Quality and Loyalty (1 paper) and Customer churn and segmentation (1 paper). Ming Yong collaborates with scholars based in China. Ming Yong's co-authors include Hadon Nash, Esha Uboweja, Manfred Georg, Camillo Lugaresi, Jiuqiang Tang, Chuo-Ling Chang, Matthias Grundmann, Ruizhi Li, Xiaojun Chen and Xinli Xu and has published in prestigious journals such as IEEE Sensors Journal and Journal of Physics A Mathematical and Theoretical.

In The Last Decade

Ming Yong

6 papers receiving 111 citations

Author Peers

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

Author Last Decade Papers Cites
Ming Yong 42 40 25 18 16 6 112
Esha Uboweja 44 1.0× 46 1.1× 25 1.0× 19 1.1× 17 1.1× 4 115
Hadon Nash 42 1.0× 40 1.0× 25 1.0× 18 1.0× 16 1.0× 5 125
Jiuqiang Tang 50 1.2× 41 1.0× 27 1.1× 18 1.0× 18 1.1× 5 137
J. H. Webb 68 1.6× 59 1.5× 22 0.9× 7 0.4× 10 0.6× 7 174
Jonathan D. Jones 38 0.9× 19 0.5× 38 1.5× 11 0.6× 23 1.4× 14 151
Maymouna Ezeddin 39 0.9× 22 0.6× 44 1.8× 11 0.6× 27 1.7× 6 239
Pablo Gagliardo 37 0.9× 50 1.3× 27 1.1× 12 0.7× 40 2.5× 10 229
Nobuyasu Nakano 79 1.9× 28 0.7× 104 4.2× 31 1.7× 26 1.6× 5 257
Giacomo Sommavilla 41 1.0× 34 0.8× 21 0.8× 8 0.4× 16 1.0× 7 96
Ghassem Tofighi 37 0.9× 25 0.6× 22 0.9× 7 0.4× 35 2.2× 6 158

Countries citing papers authored by Ming Yong

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Yong

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