Junling Hu

1.5k citations
19 papers · 929 · h-index 10

Impact in

Papers in

Junling Hu

18 papers receiving 848 citations

Peers

Junling Hu
Comparison fields: 5 of 90
  • Management Science and Operations Research 323
  • Artificial Intelligence 535
  • Health Information Management 63
  • Computer Networks and Communications 174
  • Computational Theory and Mathematics 85
Replace Noman Mohammed with:
Noman Mohammed Canada
Giuseppe Polese Italy
Jesús Cerquides Spain
Xu Chu Canada
Anany Levitin United States
B. K. Tripathy India
Evelina Lamma Italy
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Michele Lombardi Italy
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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-authors

The 22 scholars most cited alongside Junling Hu, 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 Junling Hu Line = papers co-authored together Junling Hu links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
1998485
2 2010124
3
Bootstrapped Named Entity Recognition for Product Attribute Extraction
201160
4 201452
5 199852
6 199850
7 200130
8
Self-fulfilling Bias in Multiagent Learning
199623
9
Experimental Results on Q-Learning for General-Sum Stochastic Games
200011
10
Proceedings of the Workshop on Bridging the Gap: Academic and Industrial Research in Dialog Technologies
20079
11 19998
12
Learning in dynamic noncooperative multiagent systems.
19997
13 20145
14
A space alignment method for cold-start tv show recommendations
20154
15 20124
16
Learning in Markov games with incomplete information
19982
17 20182
18 20201
19 20240

About Junling Hu

Junling Hu is a scholar working on Artificial Intelligence, Management Science and Operations Research, Information Systems, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 19 papers that have together received 929 indexed citations. Recurring topics across this work include Game Theory and Applications (6 papers), Reinforcement Learning in Robotics (6 papers), Auction Theory and Applications (5 papers), Recommender Systems and Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers), Experimental Learning in Engineering (2 papers), Multi-Agent Systems and Negotiation (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Management Science and Operations Research (323 citations), Artificial Intelligence (535 citations), Health Information Management (63 citations), Computer Networks and Communications (174 citations) and Computational Theory and Mathematics (85 citations). Junling Hu has collaborated with scholars based in United States, China and Ireland. Frequent co-authors include Michael P. Wellman, Honglak Lee, Hsu-kuang Chiu, Yu Cao, Cliff Chiung-Yu Lin, Aditya Khosla, Chandan K. Reddy, Daniel Reeves, Fuliang Weng and Ye‐Yi Wang. Their work appears in journals such as Journal of neurosurgery, Cognitive Systems Research, Knowledge and Information Systems, Machine Learning and International Conference on Artificial Intelligence.

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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