Yunsong Guo

493 citations
13 papers · 314 indexed · h-index 8
Topics
Supply Chain and Inventory Management (3 papers)Scheduling and Optimization Algorithms (3 papers)Auction Theory and Applications (3 papers)

In The Last Decade

Yunsong Guo

12 papers receiving 294 citations

Peers

Yunsong Guo
Comparison fields: 5 of 72
  • Artificial Intelligence 121
  • Industrial and Manufacturing Engineering 114
  • Molecular Biology 37
  • Information Systems 31
  • Computer Vision and Pattern Recognition 29
Replace Miguel Rebollo with:
Miguel Rebollo Spain
Dongmo Zhang Australia
Feng Shi China
Chihab Hanachi France
K. Vivekanandan India
Donna L. Gresh United States
Jiapu Wang China
Tatiana Levashova Russia
Fajar J. Ekaputra Austria
Yunsong Guo relative to Miguel Rebollo Spain Miguel Rebollo's profile →
Citations per field
00.5×12.3×
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Citations per year

Countries citing papers authored by Yunsong Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yunsong Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunsong Guo

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 28
2 2
3 23
4 1
5
Ranking structured documents: a large margin based approach for patent prior art search
10
6
Learning optimal subsets with implicit user preferences
1
7 113
8 11
9 8
10 3
11
Heuristics for a Brokering Set Packing Problem
9
12 104
13 1

About Yunsong Guo

Yunsong Guo is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Management Science and Operations Research, having authored 13 papers that have together received 314 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (3 papers), Scheduling and Optimization Algorithms (3 papers) and Auction Theory and Applications (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (114 citations), Artificial Intelligence (121 citations) and Management Information Systems (22 citations). Yunsong Guo has collaborated with scholars based in United States, Singapore and Hong Kong. Frequent co-authors include Nam Hoang Nguyen, Andrew Lim, Brian Rodrigues, Ping Chen, Si Zhang, Carla P. Gomes, Yinglong Xia, Long Jin, Hanghang Tong and Ling Li. Their work appears in journals such as European Journal of Operational Research, FEBS Journal and Computers & Operations Research.

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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