Yuqing Kong

70 total papers · 473 total citations
13 papers, 146 citations indexed

About

Yuqing Kong is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Science Applications. According to data from OpenAlex, Yuqing Kong has authored 13 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 7 papers in Computer Science Applications. Recurrent topics in Yuqing Kong's work include Mobile Crowdsensing and Crowdsourcing (7 papers), Advanced Bandit Algorithms Research (4 papers) and Auction Theory and Applications (4 papers). Yuqing Kong is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (7 papers), Advanced Bandit Algorithms Research (4 papers) and Auction Theory and Applications (4 papers). Yuqing Kong collaborates with scholars based in China and United States. Yuqing Kong's co-authors include Grant Schoenebeck, Peng Cao, Yizhou Wang, Emily Mower Provost, Georg Essl, Shan You, Tracy Xiao Liu, Jason D. Hartline and Zhihuan Huang and has published in prestigious journals such as Journal of the ACM, Society for Industrial and Applied Mathematics eBooks and arXiv (Cornell University).

In The Last Decade

Yuqing Kong

10 papers receiving 139 citations

Author Peers

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

Author Last Decade Papers Cites
Yuqing Kong 112 39 37 23 12 13 146
Bettina Finzel 182 1.6× 9 0.2× 8 0.2× 25 1.1× 4 0.3× 14 260
Gautam Siddharth Kashyap 98 0.9× 14 0.4× 21 0.6× 46 2.0× 1 0.1× 13 246
Maryam Karimzadehgan 144 1.3× 79 2.0× 29 0.8× 29 1.3× 11 240
Max Hort 107 1.0× 11 0.3× 5 0.1× 12 0.5× 2 0.2× 16 218
Zhiyun Ren 90 0.8× 107 2.7× 19 0.5× 10 0.4× 1 0.1× 16 188
Michael Zhu 116 1.0× 10 0.3× 13 0.4× 17 0.7× 14 150
Leo Iaquinta 89 0.8× 11 0.3× 35 0.9× 58 2.5× 17 229
Remya George 58 0.5× 35 0.9× 4 0.1× 16 0.7× 2 0.2× 21 231
Wu-Jun Li 137 1.2× 10 0.3× 16 0.4× 66 2.9× 12 219
Uri Stemmer 214 1.9× 49 1.3× 16 0.4× 6 0.3× 19 223

Countries citing papers authored by Yuqing Kong

Since Specialization
Citations

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

Fields of papers citing papers by Yuqing Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuqing Kong

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