Yunsong Guo

493 citations
13 papers · 314 indexed · h-index 8

Yunsong Guo

12 papers receiving 294 citations

Peers

Yunsong Guo
Comparison fields: 5 of 72
  • Industrial and Manufacturing Engineering 114
  • Artificial Intelligence 121
  • Management Information Systems 22
  • Management Science and Operations Research 20
  • 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
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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

The 18 scholars most cited alongside Yunsong Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yunsong Guo Line = papers co-authored together Yunsong Guo links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202128
2 20202
3 201423
4 20131
5
Ranking structured documents: a large margin based approach for patent prior art search
200910
6
Learning optimal subsets with implicit user preferences
20091
7 2007113
8 200711
9 20078
10 20063
11
Heuristics for a Brokering Set Packing Problem
20049
12 2004104
13 20041

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), Auction Theory and Applications (3 papers), Advanced Manufacturing and Logistics Optimization (2 papers), Optimization and Packing Problems (2 papers), Advanced Graph Neural Networks (2 papers), Vehicle Routing Optimization Methods (2 papers) and Intellectual Property and Patents (1 paper). 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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