Mingyu Guo

1.2k total citations
66 papers, 521 citations indexed

About

Mingyu Guo is a scholar working on Management Science and Operations Research, Economics and Econometrics and Computer Networks and Communications. According to data from OpenAlex, Mingyu Guo has authored 66 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Management Science and Operations Research, 15 papers in Economics and Econometrics and 13 papers in Computer Networks and Communications. Recurrent topics in Mingyu Guo's work include Auction Theory and Applications (21 papers), Game Theory and Voting Systems (12 papers) and Consumer Market Behavior and Pricing (11 papers). Mingyu Guo is often cited by papers focused on Auction Theory and Applications (21 papers), Game Theory and Voting Systems (12 papers) and Consumer Market Behavior and Pricing (11 papers). Mingyu Guo collaborates with scholars based in Australia, China and United States. Mingyu Guo's co-authors include Vincent Conitzer, Aneta Neumann, Frank Neumann, Quan Z. Sheng, Congbo Ma, Wei Emma Zhang, Hung Nguyen, Argyrios Deligkas, Max Ward and Muhammad Ali Babar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Communications and Biochemical and Biophysical Research Communications.

In The Last Decade

Mingyu Guo

58 papers receiving 507 citations

Peers

Mingyu Guo

MSOR

CNC

MARKE

Rajdeep K. Dash United Kingdom

Azarakhsh Malekian United States

Esther David Israel

Piotr Krysta United Kingdom

Fredrik Ygge Sweden

Daniel M. Reeves United States

Balasubramanian Sivan United States

Nicolás Figueroa Chile

Mikhail Nediak Canada

Kaijie Zhu Hong Kong

Rajdeep K. Dash United Kingdom

Mingyu Guo

312 ×1.2

MSOR

104 ×0.7

160 ×1.6

198 ×2.2

CNC

80 ×0.9

MARKE

Citations per year, relative to Mingyu Guo Mingyu Guo (= 1×) peers Rajdeep K. Dash

Countries citing papers authored by Mingyu Guo

Since Specialization

Citations

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

Fields of papers citing papers by Mingyu Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyu Guo

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

All Works

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20 of 20 papers shown

Gu, Jingjing, et al.. (2024). Real-time cooperative voltage regulation strategy of distribution network based on approximate dynamic programming. Frontiers in Energy Research. 12. 1 indexed citations

Hyun, Sangwon, Mingyu Guo, & Muhammad Ali Babar. (2024). METAL: Metamorphic Testing Framework for Analyzing Large-Language Model Qualities. 117–128. 7 indexed citations

Guo, Mingyu, et al.. (2024). Catch Me if You Can: Effective Honeypot Placement in Dynamic AD Attack Graphs. 451–460. 3 indexed citations

Guo, Mingyu, et al.. (2024). Limited Query Graph Connectivity Test. Proceedings of the AAAI Conference on Artificial Intelligence. 38(18). 20718–20725. 2 indexed citations

Guo, Mingyu, et al.. (2024). Optimizing Cyber Response Time on Temporal Active Directory Networks Using Decoys. Proceedings of the Genetic and Evolutionary Computation Conference. 1309–1317. 3 indexed citations

Ward, Max, et al.. (2024). Hardening Active Directory Graphs via Evolutionary Diversity Optimization-based Policies. UWA Profiles and Research Repository (University of Western Australia). 5(3). 1–36. 1 indexed citations

Guo, Mingyu. (2024). Worst-Case VCG Redistribution Mechanism Design Based on the Lottery Ticket Hypothesis. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 9740–9748.

Neumann, Aneta, et al.. (2023). Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems. Proceedings of the Genetic and Evolutionary Computation Conference. 1348–1356. 7 indexed citations

Yao, Lei, et al.. (2023). Research and Regression Analysis of Enterprise Attendance Data Based on Big Data Technology.

10.

Ward, Max, et al.. (2023). A Scalable Double Oracle Algorithm for Hardening Large Active Directory Systems. UWA Profiles and Research Repository (University of Western Australia). 993–1003. 5 indexed citations

11.

Ma, Congbo, et al.. (2022). Multi-document Summarization via Deep Learning Techniques: A Survey. ACM Computing Surveys. 55(5). 1–37. 58 indexed citations

12.

Shen, Hong, et al.. (2022). Discovering Structural Hole Spanners in Dynamic Networks via Graph Neural Networks. Griffith Research Online (Griffith University, Queensland, Australia). 64–71. 1 indexed citations

13.

Guo, Mingyu, et al.. (2020). Traffic Congestion Identification of Air Route Network Segment Based on Ensemble Learning Algorithms. Journal of Transportation Systems Engineering and Information Technology. 20(2). 166. 3 indexed citations

14.

Guo, Mingyu, Hong Shen, Taiki Todo, Yuko Sakurai, & Makoto Yokoo. (2015). Social Decision with Minimal Efficiency Loss: An Automated Mechanism Design Approach. Adaptive Agents and Multi-Agents Systems. 347–355. 1 indexed citations

15.

Oka, Masaaki, et al.. (2014). Optimal false-name-proof single-item redistribution mechanisms. Adaptive Agents and Multi-Agents Systems. 1. 221–228. 4 indexed citations

16.

Guo, Mingyu. (2012). Worst-case optimal redistribution of VCG payments in heterogeneous-item auctions with unit demand. Adaptive Agents and Multi-Agents Systems. 745–752. 10 indexed citations

17.

Guo, Mingyu & Vincent Conitzer. (2010). Strategy-proof allocation of multiple items between two agents without payments or priors. Adaptive Agents and Multi-Agents Systems. 881–888. 24 indexed citations

18.

Iwasaki, Atsushi, Vincent Conitzer, Yuko Sakurai, et al.. (2010). Worst-case efficiency ratio in false-name-proof combinatorial auction mechanisms. Adaptive Agents and Multi-Agents Systems. 633–640. 17 indexed citations

19.

Guo, Mingyu & David M. Pennock. (2009). Combinatorial prediction markets for event hierarchies. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 201–208. 8 indexed citations

20.

Guo, Mingyu & Vincent Conitzer. (2008). Undominated VCG redistribution mechanisms. Adaptive Agents and Multi-Agents Systems. 1039–1046. 14 indexed citations

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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