Bing Yang

711 total citations · 1 hit paper
48 papers, 496 citations indexed

About

Bing Yang is a scholar working on Signal Processing, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Bing Yang has authored 48 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Signal Processing, 12 papers in Electrical and Electronic Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Bing Yang's work include Speech and Audio Processing (23 papers), Music and Audio Processing (15 papers) and Indoor and Outdoor Localization Technologies (6 papers). Bing Yang is often cited by papers focused on Speech and Audio Processing (23 papers), Music and Audio Processing (15 papers) and Indoor and Outdoor Localization Technologies (6 papers). Bing Yang collaborates with scholars based in China, Canada and United States. Bing Yang's co-authors include Hong Liu, Zhan Chen, Qinghan Li, Sicheng Li, Xiaofei Li, Runwei Ding, Yutong Ban, Hong Liu, Zhan Chen and Peipei Yuan and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Electron Devices and Materials.

In The Last Decade

Bing Yang

43 papers receiving 482 citations

Hit Papers

Multi-Scale Spatial Temporal Graph Convolutional Network ... 2021 2026 2022 2024 2021 50 100 150 200
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. Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
    2021 208 citations Bing Yang, Hong Liu 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
Bing Yang China 11 231 177 168 131 68 48 496
Yu Gu China 17 268 1.2× 50 0.3× 256 1.5× 177 1.4× 47 0.7× 50 638
Lijie Fan United States 9 369 1.6× 143 0.8× 229 1.4× 41 0.3× 88 1.3× 19 574
Jianfeng Li China 15 372 1.6× 53 0.3× 131 0.8× 35 0.3× 53 0.8× 74 788
Yuki Yamaguchi Japan 8 147 0.6× 35 0.2× 199 1.2× 252 1.9× 68 1.0× 21 600
Mohammadreza Babaee Germany 9 528 2.3× 194 1.1× 124 0.7× 23 0.2× 26 0.4× 18 637
Baochang Zhang China 8 447 1.9× 102 0.6× 150 0.9× 46 0.4× 17 0.3× 17 574
Aiman Al-Sabaawi Australia 5 140 0.6× 41 0.2× 166 1.0× 40 0.3× 28 0.4× 10 527

Countries citing papers authored by Bing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Bing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Yang. A scholar is included among the top collaborators of Bing Yang 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 Bing Yang. Bing Yang 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.
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Liu, Hong, et al.. (2024). STNet: Deep Audio–Visual Fusion Network for Robust Speaker Tracking. IEEE Transactions on Multimedia. 27. 1835–1847. 2 indexed citations
3.
Yang, Kun, et al.. (2024). Adaptive multi-branch CNN of integrating manual features and functional network for driver fatigue detection. Biomedical Signal Processing and Control. 102. 107262–107262. 2 indexed citations
4.
Yang, Bing, et al.. (2024). IPDnet: A Universal Direct-Path IPD Estimation Network for Sound Source Localization. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 5051–5064. 1 indexed citations
5.
Yang, Bing & Xiaofei Li. (2024). Self-Supervised Learning of Spatial Acoustic Representation With Cross-Channel Signal Reconstruction and Multi-Channel Conformer. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 4211–4225.
6.
Sun, Kai, Yue Huo, Yuan Gao, et al.. (2024). Solar Autonomous Controllable MFCC-Based Improved Cable External Damage Voice Print Identification System. 763–767. 1 indexed citations
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Cai, Zhipeng, et al.. (2023). A noval approach based on TCN-LSTM network for predicting waterlogging depth with waterlogging monitoring station. PLoS ONE. 18(10). e0286821–e0286821. 10 indexed citations
10.
Liu, Pingan, et al.. (2022). Defect Detection of Composite Material Terahertz Image Based on Faster Region-Convolutional Neural Networks. Materials. 16(1). 317–317. 7 indexed citations
11.
Liu, Hong, Wenhao Li, & Bing Yang. (2021). Robust Audio-Visual Speech Recognition Based on Hybrid Fusion. 7580–7586. 6 indexed citations
12.
Liu, Hong, Peipei Yuan, Bing Yang, Yang Ge, & Yang Chen. (2021). Head‐related transfer function–reserved time‐frequency masking for robust binaural sound source localization. CAAI Transactions on Intelligence Technology. 7(1). 26–33. 9 indexed citations
13.
Liu, Hong, et al.. (2021). Audio-Visual Speech Recognition Using A Two-Step Feature Fusion Strategy. 1896–1903. 8 indexed citations
14.
Liu, Hong, et al.. (2020). An Adaptive Method Based on Multiscale Dilated Convolutional Network for Binaural Speech Source Localization. Complexity. 2020. 1–7. 39 indexed citations
15.
Liu, Hong, Zhan Chen, & Bing Yang. (2020). Lip Graph Assisted Audio-Visual Speech Recognition Using Bidirectional Synchronous Fusion. 3520–3524. 11 indexed citations
16.
Liu, Hong, et al.. (2020). Part-Based Lipreading for Audio-Visual Speech Recognition. 2722–2726. 6 indexed citations
17.
Yang, Bing, et al.. (2019). Multiple Sound Source Counting and Localization Based on TF-Wise Spatial Spectrum Clustering. IEEE/ACM Transactions on Audio Speech and Language Processing. 27(8). 1241–1255. 18 indexed citations
18.
Liu, Hong, et al.. (2019). Robust Interaural Time Difference Estimation Based on Convolutional Neural Network. 352–357. 5 indexed citations
19.
Jia, Jinzhu, et al.. (2013). Effects of an intelligent web‐based English instruction system on students' academic performance. Journal of Computer Assisted Learning. 29(6). 556–568. 14 indexed citations
20.
Krassovski, Misha, et al.. (2011). AmeriFlux Site and Data Exploration System. AGU Fall Meeting Abstracts. 2011. 3 indexed citations

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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