Bin Gao

5.4k total citations · 2 hit papers
105 papers, 3.8k citations indexed

About

Bin Gao is a scholar working on Artificial Intelligence, Signal Processing and Computational Mechanics. According to data from OpenAlex, Bin Gao has authored 105 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 26 papers in Signal Processing and 16 papers in Computational Mechanics. Recurrent topics in Bin Gao's work include Blind Source Separation Techniques (19 papers), Speech and Audio Processing (18 papers) and Advanced Adaptive Filtering Techniques (14 papers). Bin Gao is often cited by papers focused on Blind Source Separation Techniques (19 papers), Speech and Audio Processing (18 papers) and Advanced Adaptive Filtering Techniques (14 papers). Bin Gao collaborates with scholars based in China, United Kingdom and United States. Bin Gao's 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 and has published in prestigious journals such as PLoS ONE, Remote Sensing of Environment and IEEE Transactions on Signal Processing.

In The Last Decade

Bin Gao

95 papers receiving 3.7k citations

Hit Papers

Learning Deep Representations for Graph Clustering 2014 2026 2018 2022 2014 2017 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Learning Deep Representations for Graph Clustering
    2014 428 citations Fei Tian, Bin Gao et al. profile →
  2. Structural Health Monitoring Framework Based on Internet of Things: A Survey
    2017 330 citations Bin Gao et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bin Gao China 34 1.0k 808 488 470 395 105 3.8k
Christophe Claramunt France 29 367 0.4× 578 0.7× 647 1.3× 183 0.4× 110 0.3× 216 3.8k
Enrique Castillo Spain 45 1.4k 1.3× 389 0.5× 368 0.8× 144 0.3× 866 2.2× 245 7.6k
Haifeng Li China 38 2.0k 1.9× 431 0.5× 490 1.0× 194 0.4× 168 0.4× 217 7.6k
Jianxun Zhang China 19 979 0.9× 164 0.2× 256 0.5× 192 0.4× 408 1.0× 79 4.3k
Bas R. Steunebrink Netherlands 7 1.7k 1.6× 138 0.2× 533 1.1× 279 0.6× 240 0.6× 16 4.6k
Klaus Greff United States 10 1.8k 1.7× 144 0.2× 555 1.1× 292 0.6× 242 0.6× 15 4.8k
Anuj Karpatne United States 19 529 0.5× 546 0.7× 163 0.3× 92 0.2× 277 0.7× 62 2.7k
Juha Vesanto Finland 13 1.5k 1.4× 278 0.3× 363 0.7× 234 0.5× 157 0.4× 18 3.7k
Jan Koutník Switzerland 10 2.0k 1.9× 139 0.2× 664 1.4× 286 0.6× 246 0.6× 19 5.0k

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
1.
Hu, Bo, Ying Yu, Xiaofeng Yu, et al.. (2025). Sequence of episodic memory-related behavioral and brain-imaging abnormalities in type 2 diabetes. Nutrition and Diabetes. 15(1). 1–1.
2.
3.
Yu, Ying, Bo Hu, Xiaofeng Yu, et al.. (2025). Neurovascular decoupling of frontoparietal cortex-putamen-cerebellum network in type 2 diabetes patient: Potential biomarker for abnormal eating patterns. Diabetes Research and Clinical Practice. 224. 112175–112175.
4.
Yang, Qiuhong, et al.. (2025). Tetramethylpyrazine ameliorates sepsis-induced liver injury via inhibiting ferroptosis. Biochemical Pharmacology. 241. 117193–117193.
5.
Zhai, Junyi, Zhengqiang Li, Bin Chen, & Bin Gao. (2023). Prognostics and Health Management (PHM) System Based on a Large-Scale Civil Aircraft Engine System. 57–62.
6.
Gao, Bin, et al.. (2023). Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity. Medical Image Analysis. 90. 102941–102941. 4 indexed citations
7.
Wang, Lei, Bin Gao, & Xin Liu. (2020). Multipliers Correction Methods for Optimization Problems over the Stiefel Manifold. arXiv (Cornell University). 11 indexed citations
8.
Huang, Qingxu, Yang Yang, Yajing Li, & Bin Gao. (2016). A Simulation Study on the Urban Population of China Based on Nighttime Light Data Acquired from DMSP/OLS. Sustainability. 8(6). 521–521. 27 indexed citations
9.
Gao, Bin, Shuai Yang, Haiyang Jin, et al.. (2016). Design and analysis of underactuated robotic gripper with adaptive fingers for objects grasping tasks. 987–992. 8 indexed citations
10.
Wang, Wei, Hui Lü, Dawen Yang, et al.. (2016). Modelling Hydrologic Processes in the Mekong River Basin Using a Distributed Model Driven by Satellite Precipitation and Rain Gauge Observations. PLoS ONE. 11(3). e0152229–e0152229. 87 indexed citations
11.
Gao, Bin, Qingxu Huang, Chunyang He, & Qun Ma. (2015). Dynamics of Urbanization Levels in China from 1992 to 2012: Perspective from DMSP/OLS Nighttime Light Data. Remote Sensing. 7(2). 1721–1735. 117 indexed citations
12.
Cui, Qing, et al.. (2014). Co-learning of Word Representations and Morpheme Representations. International Conference on Computational Linguistics. 141–150. 44 indexed citations
13.
Tian, Fei, Hanjun Dai, Jiang Bian, et al.. (2014). A Probabilistic Model for Learning Multi-Prototype Word Embeddings. International Conference on Computational Linguistics. 151–160. 68 indexed citations
14.
Huang, Qingxu, Xi Yang, Bin Gao, Yang Yang, & Yuanyuan Zhao. (2014). Application of DMSP/OLS Nighttime Light Images: A Meta-Analysis and a Systematic Literature Review. Remote Sensing. 6(8). 6844–6866. 194 indexed citations
15.
Cui, Qing, et al.. (2014). Learning Effective Word Embedding using Morphological Word Similarity.. arXiv (Cornell University). 5 indexed citations
16.
He, Chunyang, Jie Tian, Bin Gao, & Yuanyuan Zhao. (2014). Differentiating climate- and human-induced drivers of grassland degradation in the Liao River Basin, China. Environmental Monitoring and Assessment. 187(1). 4199–4199. 94 indexed citations
17.
Li, Xiaoyu, Lijuan Liu, Yugang Wang, et al.. (2012). Integrated Assessment of Heavy Metal Contamination in Sediments from a Coastal Industrial Basin, NE China. PLoS ONE. 7(6). e39690–e39690. 131 indexed citations
18.
Gao, Bin, Tie‐Yan Liu, Wei Wei, Taifeng Wang, & Hang Li. (2011). Semi-supervised ranking on very large graphs with rich metadata. 96–104. 40 indexed citations
19.
Gao, Bin, Wai Lok Woo, & S.S. Dlay. (2008). Single channel audio source separation. 4(4). 173–182. 3 indexed citations
20.
Gao, Bin. (2003). The Algorithm Selection of Maximum Entropy Spectral Estimation Based on Quasi-Continuous Wave Radar.

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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