Yuexian Hou

2.4k citations
99 papers · 1.5k indexed · 1 hit paper · h-index 20
Topics
Topic Modeling (26 papers)Advanced Text Analysis Techniques (17 papers)Information Retrieval and Search Behavior (15 papers)

In The Last Decade

Yuexian Hou

88 papers receiving 1.4k citations

Hit Papers

Exploring EEG Features in Cross-Subject Emotion Recognition2018202620202023201850100150200250

Peers

Yuexian Hou
Comparison fields: 5 of 110
  • Artificial Intelligence 644
  • Cognitive Neuroscience 510
  • Experimental and Cognitive Psychology 434
  • Computer Vision and Pattern Recognition 235
  • Information Systems 210
Replace Dongdong Li with:
Dongdong Li China
Yun Luo China
Sheng-hua Zhong China
Di Wang Singapore
Masayuki Numao Japan
Hatim Aboalsamh Saudi Arabia
Guee-Sang Lee South Korea
Peng Song China
Wolfgang Müller‐Wittig Singapore
Yuexian Hou relative to Dongdong Li China Dongdong Li's profile →
Citations per field
00.5×11.7×
Dongdong Li · 1×
Citations per year

Countries citing papers authored by Yuexian Hou

Since Specialization
Citations

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

Fields of papers citing papers by Yuexian Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuexian Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Yuexian Hou. A scholar is included among the top collaborators of Yuexian Hou 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 Yuexian Hou. Yuexian Hou 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 0
4 1
5 28
6 20
7 1
8 2
9 5
10 1
11 35
12
A Tensorized Transformer for Language Modeling
19
13
A Position-aware Bidirectional Attention Network for Aspect-level Sentiment Analysis
96
14 4
15
Modeling quantum entanglements in quantum language models
19
16
A global constrained optimization method for designing road networks with small diameters
1
17
Automata modeling for cognitive interference in users’ relevance judgment
6
18
Event-Based Hyperspace Analogue to Language for Query Expansion
0
19
How quantum theory is developing the field of Information Retrieval
8
20
Explanation of Relevance Judgement Discrepancy with Quantum Interference
1

About Yuexian Hou

Yuexian Hou is a scholar working on Artificial Intelligence, Computational Mathematics and Computer Vision and Pattern Recognition, having authored 99 papers that have together received 1.5k indexed citations. Recurring topics across this work include Topic Modeling (26 papers), Advanced Text Analysis Techniques (17 papers) and Information Retrieval and Search Behavior (15 papers). The work is most often cited by research in Experimental and Cognitive Psychology (434 citations), Cognitive Neuroscience (510 citations) and Human-Computer Interaction (125 citations). Yuexian Hou has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Dawei Song, Bin Hu, Xiang Li, Yazhou Zhang, Wenjie Li, Peng Zhang, Peng Zhang, Peng Zhang, Lipeng Zhang and Yin Song. Their work appears in journals such as Journal of Biological Chemistry, Plant Cell & Environment and IEEE Transactions on Neural Networks and Learning 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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