Bin Gao

5.4k citations
105 papers · 3.8k indexed · 2 hit papers · h-index 34
Topics
Blind Source Separation Techniques (19 papers)Speech and Audio Processing (18 papers)Advanced Adaptive Filtering Techniques (14 papers)

In The Last Decade

Bin Gao

95 papers receiving 3.7k citations

Hit Papers

Learning Deep Representations for Graph Clustering201420262018202220142017100200300400

Peers

Bin Gao
Comparison fields: 5 of 152
  • Artificial Intelligence 1.0k
  • Global and Planetary Change 808
  • Signal Processing 488
  • Information Systems 470
  • Mechanical Engineering 395
Replace Christophe Claramunt with:
Christophe Claramunt France
Huayi Wu China
Min Deng China
Jianhua He China
Haifeng Li China
Jianxin Li China
Bas R. Steunebrink Netherlands
Klaus Greff United States
Jan Koutník Switzerland
Bin Gao relative to Christophe Claramunt France Christophe Claramunt's profile →
Citations per field
00.5×3.6×
Christophe Claramunt · 1×
Citations per year

Countries citing papers authored by Bin Gao

Since Specialization
Citations

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

Fields of papers citing papers by Bin Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Gao. A scholar is included among the top collaborators of Bin Gao 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 Bin Gao. Bin Gao 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 0
2 1
3 0
4 0
5 0
6 4
7 11
8 27
9 8
10 87
11 117
12
Co-learning of Word Representations and Morpheme Representations
44
13
A Probabilistic Model for Learning Multi-Prototype Word Embeddings
68
14 194
15
Learning Effective Word Embedding using Morphological Word Similarity.
5
16 94
17 131
18 40
19 3
20
The Algorithm Selection of Maximum Entropy Spectral Estimation Based on Quasi-Continuous Wave Radar
0

About Bin Gao

Bin Gao is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics, having authored 105 papers that have together received 3.8k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (19 papers), Speech and Audio Processing (18 papers) and Advanced Adaptive Filtering Techniques (14 papers). The work is most often cited by research in Signal Processing (488 citations), Transportation (292 citations) and Global and Planetary Change (808 citations). Bin Gao has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Tie‐Yan Liu, Gui Yun Tian, Qingxu Huang, Wai Lok Woo, Chunyang He, S.S. Dlay, Fei Tian, Qing Cui, Enhong Chen and Yan Yan. Their work appears in journals such as PLoS ONE, Remote Sensing of Environment and IEEE Transactions on Signal Processing.

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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