Xu-Cheng Yin

4.2k total citations · 1 hit paper
172 papers, 2.5k citations indexed

About

Xu-Cheng Yin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Xu-Cheng Yin has authored 172 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Computer Vision and Pattern Recognition, 74 papers in Artificial Intelligence and 31 papers in Media Technology. Recurrent topics in Xu-Cheng Yin's work include Handwritten Text Recognition Techniques (47 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Image Retrieval and Classification Techniques (21 papers). Xu-Cheng Yin is often cited by papers focused on Handwritten Text Recognition Techniques (47 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Image Retrieval and Classification Techniques (21 papers). Xu-Cheng Yin collaborates with scholars based in China, United States and United Kingdom. Xu-Cheng Yin's co-authors include Hongwei Hao, Kaizhu Huang, Xuwang Yin, Chun Yang, Xiaobin Zhu, Shu Tian, Wei-Yi Pei, Shi-Xue Zhang, Jie-Bo Hou and Jun Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Xu-Cheng Yin

153 papers receiving 2.4k citations

Hit Papers

Robust Text Detection in Natural Scene Images 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xu-Cheng Yin China 24 1.8k 823 703 193 118 172 2.5k
Palaiahnakote Shivakumara Malaysia 33 2.9k 1.6× 1.2k 1.5× 495 0.7× 154 0.8× 125 1.1× 257 3.5k
Haojie Li China 27 4.0k 2.2× 568 0.7× 1.4k 2.0× 155 0.8× 107 0.9× 179 5.0k
Xu-Yao Zhang China 27 2.4k 1.3× 802 1.0× 1.5k 2.1× 96 0.5× 168 1.4× 115 3.4k
Zhihui Lai China 28 1.8k 1.0× 499 0.6× 782 1.1× 56 0.3× 200 1.7× 103 2.4k
Yong Luo China 22 1.2k 0.6× 311 0.4× 1.0k 1.5× 135 0.7× 123 1.0× 116 2.1k
Weihua Ou China 25 1.3k 0.7× 250 0.3× 720 1.0× 129 0.7× 233 2.0× 121 2.1k
Yu-Chiang Frank Wang Taiwan 35 2.8k 1.6× 733 0.9× 1.3k 1.9× 96 0.5× 354 3.0× 153 3.9k
Dacheng Tao Australia 19 2.1k 1.1× 619 0.8× 655 0.9× 90 0.5× 220 1.9× 26 2.6k
Masoumeh Zareapoor China 24 825 0.5× 464 0.6× 674 1.0× 200 1.0× 111 0.9× 58 1.9k

Countries citing papers authored by Xu-Cheng Yin

Since Specialization
Citations

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

Fields of papers citing papers by Xu-Cheng Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xu-Cheng Yin. 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 Xu-Cheng Yin. The network helps show where Xu-Cheng Yin may publish in the future.

Co-authorship network of co-authors of Xu-Cheng Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Xu-Cheng Yin. A scholar is included among the top collaborators of Xu-Cheng Yin 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 Xu-Cheng Yin. Xu-Cheng Yin 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.
Zhu, Chao, et al.. (2025). HA-FGOVD: Highlighting Fine-Grained Attributes via Explicit Linear Composition for Open-Vocabulary Object Detection. IEEE Transactions on Multimedia. 27. 3171–3183.
2.
Yin, Xu-Cheng, et al.. (2025). Efficient and lightweight 3D building reconstruction from drone imagery using sparse line and point clouds. Virtual Reality & Intelligent Hardware. 7(2). 111–126.
3.
Chen, Yuxiang, et al.. (2024). Improving license plate recognition via diverse stylistic plate generation. Pattern Recognition Letters. 183. 117–124. 3 indexed citations
4.
Liu, Yan, et al.. (2024). Improving Multi-Type License Plate Recognition via Learning Globally and Contrastively. IEEE Transactions on Intelligent Transportation Systems. 25(9). 11092–11102. 7 indexed citations
5.
Zhu, Xiaobin, et al.. (2024). Recurrent Partial Kernel Network for Efficient Optical Flow Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4278–4286. 5 indexed citations
6.
Liu, Yuliang, Zhang Li, Mingxin Huang, et al.. (2024). OCRBench: on the hidden mystery of OCR in large multimodal models. Science China Information Sciences. 67(12). 23 indexed citations
7.
Luo, Chuanchen, Yuxi Wang, Jiaheng Liu, et al.. (2024). MaterialSeg3D: Segmenting Dense Materials from 2D Priors for 3D Assets. 370–379.
8.
Qian, Xinyuan, et al.. (2024). Understanding Dynamic Auditory and Tactile Perception for Water Filling Level Estimation. International Journal of Social Robotics. 17(10). 2097–2106.
9.
Qian, Xinyuan, et al.. (2024). M3TTS: Multi-modal text-to-speech of multi-scale style control for dubbing. Pattern Recognition Letters. 179. 158–164. 2 indexed citations
10.
Liu, Chang, et al.. (2024). CFOR: Character-First Open-Set Text Recognition via Context-Free Learning. IEEE Transactions on Image Processing. 33. 6497–6507. 1 indexed citations
11.
Fang, Zhiyu, Xiaobin Zhu, Chun Yang, et al.. (2024). Transformer-based Reasoning for Learning Evolutionary Chain of Events on Temporal Knowledge Graph. arXiv (Cornell University). 70–79. 6 indexed citations
12.
Chen, Lei, et al.. (2023). Sample Weighting with Hierarchical Equalization Loss for Dense Object Detection. IEEE Transactions on Multimedia. 26. 5846–5859. 3 indexed citations
13.
Liu, Yan, et al.. (2023). Self-supervised contrastive speaker verification with nearest neighbor positive instances. Pattern Recognition Letters. 173. 17–22. 4 indexed citations
14.
Li, Kai, et al.. (2023). Hypersphere guided embedding for masked face recognition. Pattern Recognition Letters. 174. 46–51. 3 indexed citations
15.
Tian, Shu, et al.. (2022). Depth-Guided Progressive Network for Object Detection. IEEE Transactions on Intelligent Transportation Systems. 23(10). 19523–19533. 5 indexed citations
16.
Yang, Chun, et al.. (2019). Simultaneous End-to-End Vehicle and License Plate Detection With Multi-Branch Attention Neural Network. IEEE Transactions on Intelligent Transportation Systems. 21(9). 3686–3695. 40 indexed citations
17.
Tian, Shu, et al.. (2016). Scene text detection in video by learning locally and globally. International Joint Conference on Artificial Intelligence. 2647–2652. 18 indexed citations
18.
Zhang, Bowen, Xu-Cheng Yin, Jian Wu, et al.. (2016). USTB at Social Book Search 2016 Suggestion Task: Active Books Set and Re-ranking.. CLEF (Working Notes). 1089–1096. 2 indexed citations
19.
Zhang, Huang, Xiaoping, et al.. (2015). Chinese word segmentation with local and global context representation learning. 高技术通讯:英文版. 71–77. 1 indexed citations
20.
Zhang, Zhijuan, Tiantian Liu, Bowen Zhang, et al.. (2015). A generic retrieval system for biomedical literatures: USTB at BioASQ2015 Question Answering Task. CLEF (Working Notes). 7 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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