Eric Huang

36 papers receiving 2.2k citations

Hit Papers

Semi-Supervised Recursive Autoencoders for Predicting Sen...2011202620162021201120122011200400600

Peers

Eric Huang
Comparison fields: 5 of 113
  • Artificial Intelligence 1.8k
  • Computer Vision and Pattern Recognition 380
  • Information Systems 248
  • Control and Systems Engineering 154
  • Management Science and Operations Research 88
Replace Jinyang Li with:
Jinyang Li United States
Binqiang Zhao China
Xiangyang Luo China
Rahul Agrawal India
Ashraf Elnagar United Arab Emirates
Antonio LaTorre Spain
Luciana S. Buriol Brazil
Xiao Huang Hong Kong
Dario Rossi France
Eric Huang relative to Jinyang Li United States Jinyang Li's profile →
Citations per field
00.5×3.3×
Jinyang Li · 1×
Citations per year

Countries citing papers authored by Eric Huang

Since Specialization
Citations

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

Fields of papers citing papers by Eric Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Huang. A scholar is included among the top collaborators of Eric Huang 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 Eric Huang. Eric Huang 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 23
3 10
4 43
5 1
6 7
7 2
8 31
9
Improving Word Representations via Global Context and Multiple Word Prototypesbreakdown →
640
10
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detectionbreakdown →
477
11
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributionsbreakdown →
743
12 3
13 3
14 53
15 38
16 5
17 13
18 7
19 6
20 5

About Eric Huang

Eric Huang is a scholar working on Computer Graphics and Computer-Aided Design, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 2.4k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (7 papers), Computational Geometry and Mesh Generation (6 papers) and Optimization and Packing Problems (5 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Computer Vision and Pattern Recognition (380 citations) and Information Systems (248 citations). Eric Huang has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Richard Socher, Andrew Y. Ng, Christopher D. Manning, Jeffrey Pennington, Gaurav Mittal, Richard E. Korf, Matthew T. Mason, Mansel W. Griffiths, Zhenzhong Jia and Moshe Ben‐Akiva. Their work appears in journals such as IEEE Transactions on Microwave Theory and Techniques, IEEE Transactions on Antennas and Propagation and Journal of Food Engineering.

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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