Yang Yu

3.5k total citations
93 papers, 1.9k citations indexed

About

Yang Yu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Yang Yu has authored 93 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Artificial Intelligence, 33 papers in Computational Theory and Mathematics and 16 papers in Management Science and Operations Research. Recurrent topics in Yang Yu's work include Metaheuristic Optimization Algorithms Research (29 papers), Reinforcement Learning in Robotics (27 papers) and Advanced Multi-Objective Optimization Algorithms (27 papers). Yang Yu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (29 papers), Reinforcement Learning in Robotics (27 papers) and Advanced Multi-Objective Optimization Algorithms (27 papers). Yang Yu collaborates with scholars based in China, United Kingdom and United States. Yang Yu's co-authors include Zhi‐Hua Zhou, Chao Qian, Hong Qian, Ke Tang, Yaochu Jin, Zhuoping Zhou, Chaoli Sun, Jianchao Zeng, Qing Da and Yi-Qi Hu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Water Research and Artificial Intelligence.

In The Last Decade

Yang Yu

88 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yang Yu China	24	1.3k	618	270	255	242	93	1.9k
Mohammad Bagher Dowlatshahi Iran	23	1.1k 0.9×	311 0.5×	146 0.5×	591 2.3×	262 1.1×	53	1.7k
Essam Said Hanandeh Jordan	12	867 0.7×	278 0.4×	129 0.5×	256 1.0×	230 1.0×	24	1.6k
Tuong Le Vietnam	23	670 0.5×	382 0.6×	108 0.4×	155 0.6×	600 2.5×	55	1.6k
Ran Wang China	28	1.5k 1.1×	485 0.8×	234 0.9×	614 2.4×	270 1.1×	88	2.4k
Eneko Osaba Spain	23	1.3k 1.0×	551 0.9×	121 0.4×	212 0.8×	183 0.8×	108	2.5k
Tomoharu Nakashima Japan	19	1.8k 1.4×	444 0.7×	292 1.1×	239 0.9×	301 1.2×	122	2.3k
El‐Ghazali Talbi France	12	697 0.5×	427 0.7×	142 0.5×	134 0.5×	150 0.6×	36	1.8k
Fernando G. Lobo Portugal	18	1.6k 1.2×	743 1.2×	122 0.5×	135 0.5×	137 0.6×	46	2.4k
Siti Mariyam Shamsuddin Malaysia	23	770 0.6×	219 0.4×	143 0.5×	223 0.9×	318 1.3×	139	1.8k

Countries citing papers authored by Yang Yu

Since Specialization

Citations

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

Fields of papers citing papers by Yang Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Yu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yu, Yang, et al.. (2025). Tuck-KGC: based on tensor decomposition for diabetes knowledge graph completion model integrating Chinese and Western medicine. PeerJ Computer Science. 11. e2522–e2522. 1 indexed citations

Yu, Yang, et al.. (2024). Using music and music‐based analysis to model and to classify terrain in geomorphology. Earth Surface Processes and Landforms. 49(5). 1544–1559.

Guo, Haifeng, et al.. (2021). Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning. IEEE Transactions on Games. 14(2). 294–307. 9 indexed citations

Chen, Xionghui, Shengyi Jiang, Feng Xu, Zongzhang Zhang, & Yang Yu. (2021). Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning. Neural Information Processing Systems. 34. 4 indexed citations

Yu, Yang, et al.. (2021). Error Bounds of Imitating Policies and Environments for Reinforcement Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(10). 6968–6980. 25 indexed citations

Yang, Guo‐Yu, et al.. (2021). Adaptive Online Packing-guided Search for POMDPs. Neural Information Processing Systems. 34. 4 indexed citations

Yu, Yang, et al.. (2020). Error Bounds of Imitating Policies and Environments. arXiv (Cornell University). 33. 15737–15749. 1 indexed citations

Wang, Jianhao, et al.. (2020). QPLEX: Duplex Dueling Multi-Agent Q-Learning. arXiv (Cornell University). 2 indexed citations

Jiang, Shengyi, et al.. (2020). Offline Imitation Learning with a Misspecified Simulator. Neural Information Processing Systems. 33. 8510–8520. 1 indexed citations

10.

Chen, Xionghui & Yang Yu. (2019). Reinforcement Learning with Derivative-Free Exploration. Adaptive Agents and Multi-Agents Systems. 1880–1882. 2 indexed citations

11.

Yu, Yang, et al.. (2019). Bridging Machine Learning and Logical Reasoning by Abductive Learning. Neural Information Processing Systems. 32. 2811–2822. 47 indexed citations

12.

Wan, Feng, et al.. (2017). Model of Chemical Domain Device Ontology Constructing. 404–410. 2 indexed citations

13.

Qian, Chao, Jing-Cheng Shi, Yang Yu, Ke Tang, & Zhi‐Hua Zhou. (2017). Subset Selection under Noise. Neural Information Processing Systems. 30. 3560–3570. 22 indexed citations

14.

Qian, Chao, Jing-Cheng Shi, Yang Yu, Ke Tang, & Zhi‐Hua Zhou. (2016). Parallel pareto optimization for subset selection. International Joint Conference on Artificial Intelligence. 1939–1945. 21 indexed citations

15.

Qian, Chao, Yang Yu, & Zhi‐Hua Zhou. (2015). On constrained boolean pareto optimization. International Conference on Artificial Intelligence. 389–395. 19 indexed citations

16.

Qian, Chao, Yang Yu, & Zhi‐Hua Zhou. (2015). Subset selection by Pareto optimization. Neural Information Processing Systems. 28. 1774–1782. 83 indexed citations

17.

Da, Qing, Yang Yu, & Zhi‐Hua Zhou. (2014). Napping for functional representation of policy. Adaptive Agents and Multi-Agents Systems. 189–196. 2 indexed citations

18.

Yu, Yang, Xin Yao, & Zhi‐Hua Zhou. (2013). On the approximation ability of evolutionary optimization with application to minimum set cover: extended abstract. International Joint Conference on Artificial Intelligence. 3190–3194. 3 indexed citations

19.

Yu, Yang, Xin Yao, & Zhi‐Hua Zhou. (2012). On the approximation ability of evolutionary optimization with application to minimum set cover. Artificial Intelligence. 180-181. 20–33. 58 indexed citations

20.

Yu, Yang & Zhi‐Hua Zhou. (2008). A new approach to estimating the expected first hitting time of evolutionary algorithms. Artificial Intelligence. 172(15). 1809–1832. 7 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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