Qiao Liang

1.7k total citations · 1 hit paper
19 papers, 682 citations indexed

About

Qiao Liang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Qiao Liang has authored 19 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Qiao Liang's work include Handwritten Text Recognition Techniques (8 papers), Speech and Audio Processing (5 papers) and Speech Recognition and Synthesis (5 papers). Qiao Liang is often cited by papers focused on Handwritten Text Recognition Techniques (8 papers), Speech and Audio Processing (5 papers) and Speech Recognition and Synthesis (5 papers). Qiao Liang collaborates with scholars based in China, United States and Germany. Qiao Liang's co-authors include Zhanzhan Cheng, Ruoming Pang, Fei Wu, Yi Niu, Yunlu Xu, Shiliang Pu, Yanzhang He, Tara N. Sainath, Yonghui Wu and Shuo-Yiin Chang and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Advanced materials research.

In The Last Decade

Qiao Liang

18 papers receiving 616 citations

Hit Papers

Streaming End-to-end Speech Recognition for Mobile Devices 2019 2026 2021 2023 2019 100 200 300
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. Streaming End-to-end Speech Recognition for Mobile Devices
    2019 345 citations Yanzhang He, Tara N. Sainath 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
Qiao Liang China 9 482 296 240 61 26 19 682
Christian Gollan Germany 13 367 0.8× 183 0.6× 182 0.8× 22 0.4× 8 0.3× 18 520
C. Chandra Sekhar India 11 250 0.5× 218 0.7× 178 0.7× 62 1.0× 9 0.3× 66 448
Guanglai Gao China 13 468 1.0× 233 0.8× 275 1.1× 21 0.3× 22 0.8× 109 715
Yi Ren China 15 435 0.9× 425 1.4× 232 1.0× 9 0.1× 39 1.5× 40 724
Cemal Hanilçi Türkiye 13 935 1.9× 1.0k 3.5× 278 1.2× 11 0.2× 34 1.3× 39 1.2k
Rewon Child United States 3 218 0.5× 103 0.3× 241 1.0× 21 0.3× 8 0.3× 4 403
Damien Vincent France 8 249 0.5× 218 0.7× 273 1.1× 14 0.2× 7 0.3× 12 551
Prasenjit Dey India 10 154 0.3× 77 0.3× 154 0.6× 64 1.0× 55 2.1× 25 362
S. Ortmanns Germany 12 647 1.3× 328 1.1× 157 0.7× 6 0.1× 10 0.4× 18 739
Chen Xie Italy 5 499 1.0× 421 1.4× 79 0.3× 6 0.1× 14 0.5× 13 581

Countries citing papers authored by Qiao Liang

Since Specialization
Citations

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

Fields of papers citing papers by Qiao Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiao Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Qiao Liang. A scholar is included among the top collaborators of Qiao Liang 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 Qiao Liang. Qiao Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Zhao, Hanbin, et al.. (2025). GCSTG: Generating Class-Confusion-Aware Samples With a Tree-Structure Graph for Few-Shot Object Detection. IEEE Transactions on Image Processing. 34. 772–784.
2.
Liang, Qiao, Can Li, Zhanzhan Cheng, et al.. (2024). Reading order detection in visually-rich documents with multi-modal layout-aware relation prediction. Pattern Recognition. 150. 110314–110314. 2 indexed citations
3.
Wang, Haowen, Zhengping Che, Qiao Liang, et al.. (2024). SM3: Self-supervised Multi-task Modeling with Multi-view 2D Images for Articulated Objects. 12492–12498. 2 indexed citations
4.
Liang, Qiao, et al.. (2023). SCID：用于富含视觉信息文档图像中信息提取任务的扫描中文票据数据集. Journal of Image and Graphics. 28(8). 2298–2313. 1 indexed citations
5.
Shen, Huawen, Xiang Gao, Qiao Liang, et al.. (2023). Divide Rows and Conquer Cells: Towards Structure Recognition for Large Tables. 1369–1377. 7 indexed citations
6.
Ding, Shaojin, Arun Narayanan, Quan Wang, et al.. (2023). Conditional Conformer: Improving Speaker Modulation For Single And Multi-User Speech Enhancement. 1–5. 1 indexed citations
7.
Su, Wei, Peihan Miao, Gaoang Wang, et al.. (2023). Language Adaptive Weight Generation for Multi-Task Visual Grounding. 10857–10866. 20 indexed citations
8.
Ding, Shaojin, et al.. (2022). Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition. Interspeech 2022. 3744–3748. 19 indexed citations
9.
Liang, Qiao, Hui Jiang, Ying Chen, et al.. (2022). DavarOCR: A Toolbox for OCR and Multi-Modal Document Understanding. Proceedings of the 30th ACM International Conference on Multimedia. 7355–7358. 4 indexed citations
10.
Ding, Shaojin, Weiran Wang, Ding Zhao, et al.. (2022). A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes. Interspeech 2022. 6 indexed citations
11.
Li, Yi, Qiao Liang, Pengfei Li, et al.. (2022). End-to-End Compound Table Understanding with Multi-Modal Modeling. Proceedings of the 30th ACM International Conference on Multimedia. 4112–4121. 6 indexed citations
12.
Wu, Zhaofeng, Ding Zhao, Qiao Liang, et al.. (2021). Dynamic Sparsity Neural Networks for Automatic Speech Recognition. 6014–6018. 18 indexed citations
13.
Li, Bo, Anmol Gulati, Jiahui Yu, et al.. (2021). A Better and Faster end-to-end Model for Streaming ASR. 5634–5638. 67 indexed citations
14.
Liang, Qiao, Ying Chen, Zhanzhan Cheng, et al.. (2021). MANGO: A Mask Attention Guided One-Stage Scene Text Spotter. Proceedings of the AAAI Conference on Artificial Intelligence. 35(3). 2467–2476. 41 indexed citations
15.
Xu, Yunlu, Zhanzhan Cheng, Shiliang Pu, et al.. (2020). TRIE: End-to-End Text Reading and Information Extraction for Document Understanding. 1413–1422. 55 indexed citations
16.
Liang, Qiao, Zhanzhan Cheng, Yunlu Xu, et al.. (2020). Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 11899–11907. 68 indexed citations
17.
Cheng, Zhanzhan, Qiao Liang, Yunlu Xu, et al.. (2020). FREE: A Fast and Robust End-to-End Video Text Spotter. IEEE Transactions on Image Processing. 30. 822–837. 19 indexed citations
18.
He, Yanzhang, Tara N. Sainath, Rohit Prabhavalkar, et al.. (2019). Streaming End-to-end Speech Recognition for Mobile Devices. 6381–6385. 345 indexed citations breakdown →
19.
Liang, Qiao, et al.. (2014). A Review of Remote Sensing Drought Monitoring Method. Advanced materials research. 1073-1076. 1891–1894. 1 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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