Junling Hu

18 papers receiving 842 citations

Peers

Junling Hu
Comparison fields: 5 of 90
  • Artificial Intelligence 538
  • Management Science and Operations Research 324
  • Computer Networks and Communications 173
  • Information Systems 106
  • Computational Theory and Mathematics 85
Replace Han La Poutré with:
Han La Poutré Netherlands
Giuseppe Polese Italy
Jesús Cerquides Spain
Xu Chu Canada
Evelina Lamma Italy
B. K. Tripathy India
O. P. Vyas India
Binbin Hu China
Viviana Mascardi Italy
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Junling Hu relative to Han La Poutré Netherlands Han La Poutré's profile →
Citations per field
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Citations per year

Countries citing papers authored by Junling Hu

Since Specialization
Citations

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

Fields of papers citing papers by Junling Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junling Hu

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4
A space alignment method for cold-start tv show recommendations
4
5 5
6 52
7 4
8
Bootstrapped Named Entity Recognition for Product Attribute Extraction
60
9 122
10
Proceedings of the Workshop on Bridging the Gap: Academic and Industrial Research in Dialog Technologies
9
11 30
12
Experimental Results on Q-Learning for General-Sum Stochastic Games
11
13
Learning in dynamic noncooperative multiagent systems.
7
14 8
15
Learning in Markov games with incomplete information
2
16
Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
484
17 51
18 49
19
Self-fulfilling Bias in Multiagent Learning
23

About Junling Hu

Junling Hu is a scholar working on Architecture, Management Science and Operations Research and Artificial Intelligence, having authored 19 papers that have together received 924 indexed citations. Recurring topics across this work include Game Theory and Applications (6 papers), Reinforcement Learning in Robotics (6 papers) and Auction Theory and Applications (5 papers). The work is most often cited by research in Management Science and Operations Research (324 citations), Artificial Intelligence (538 citations) and Health Information Management (72 citations). Junling Hu has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Michael P. Wellman, Honglak Lee, Aditya Khosla, Cliff Chiung-Yu Lin, Yu Cao, Hsu-kuang Chiu, Chandan K. Reddy, Daniel Reeves, Fuliang Weng and Jiayu Zhou. Their work appears in journals such as Journal of neurosurgery, Machine Learning and Knowledge and Information Systems.

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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