Yujing Hu

1.1k citations
28 papers · 502 indexed · h-index 9
Topics
Reinforcement Learning in Robotics (16 papers)Adaptive Dynamic Programming Control (6 papers)Advanced Bandit Algorithms Research (5 papers)
Partner nations
ChinaSingaporeCanada

In The Last Decade

Yujing Hu

26 papers receiving 489 citations

Peers

Yujing Hu
Comparison fields: 5 of 79
  • Artificial Intelligence 283
  • Computer Networks and Communications 91
  • Information Systems 75
  • Management Science and Operations Research 71
  • Control and Systems Engineering 60
Replace Bikramjit Banerjee with:
Bikramjit Banerjee United States
Faruk Polat Türkiye
Giovanni Caire Italy
Roberto Carballedo Spain
Zakir Hussain Ahmed Saudi Arabia
Eduardo G. Pardo Spain
Camelia-M. Pintea Romania
Doo-Kwon Baik South Korea
Mohd Nizam Mohmad Kahar Malaysia
Yujing Hu relative to Bikramjit Banerjee United States Bikramjit Banerjee's profile →
Citations per field
00.5×3.6×
Bikramjit Banerjee · 1×
Citations per year

Countries citing papers authored by Yujing Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yujing Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujing Hu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 3
4 2
5 17
6 1
7 3
8 11
9 3
10 1
11 8
12
Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
6
13 1
14
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
2
15
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
3
16 4
17 1
18 12
19 44
20 7

About Yujing Hu

Yujing Hu is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computational Theory and Mathematics, having authored 28 papers that have together received 502 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (16 papers), Adaptive Dynamic Programming Control (6 papers) and Advanced Bandit Algorithms Research (5 papers). The work is most often cited by research in Artificial Intelligence (283 citations), Management Science and Operations Research (71 citations) and Computer Networks and Communications (91 citations). Yujing Hu has collaborated with scholars based in China, Singapore and Canada. Frequent co-authors include Yang Gao, Jianye Hao, Weixun Wang, Bo An, Yong Liu, Xingguo Chen, Anxiang Zeng, Qing Da, Yinghui Xu and Yang Yu. Their work appears in journals such as Advanced Materials, Journal of Environmental Management and Food Research International.

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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