Mingkun Yang

2.5k total citations · 1 hit paper
25 papers, 1.2k citations indexed

About

Mingkun Yang is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Mingkun Yang has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 4 papers in Computer Networks and Communications and 4 papers in Hardware and Architecture. Recurrent topics in Mingkun Yang's work include Handwritten Text Recognition Techniques (12 papers), Image Retrieval and Classification Techniques (6 papers) and Vehicle License Plate Recognition (4 papers). Mingkun Yang is often cited by papers focused on Handwritten Text Recognition Techniques (12 papers), Image Retrieval and Classification Techniques (6 papers) and Vehicle License Plate Recognition (4 papers). Mingkun Yang collaborates with scholars based in China, United States and Sweden. Mingkun Yang's co-authors include Xiang Bai, Cong Yao, Pengyuan Lyu, Baoguang Shi, Xinggang Wang, Yongchao Xu, Minghui Liao, Wenyu Liu, Rui Yu and Tengteng Huang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Access.

In The Last Decade

Mingkun Yang

24 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

ASTER: An Attentional Scene Text Recognizer with Flexible Rectification

2018 484 citations Baoguang Shi, Mingkun Yang et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingkun Yang China	11	1.1k	350	220	80	33	25	1.2k
Takeshi Ikenaga Japan	16	1.1k 1.0×	86 0.2×	67 0.3×	43 0.5×	54 1.6×	226	1.2k
Ziyi Liu China	14	329 0.3×	25 0.1×	227 1.0×	51 0.6×	22 0.7×	45	516
Lambert Spaanenburg Netherlands	13	247 0.2×	197 0.6×	230 1.0×	15 0.2×	86 2.6×	96	577
Tasweer Ahmad Pakistan	9	366 0.3×	171 0.5×	124 0.6×	65 0.8×	12 0.4×	19	492
Masayuki Hiromoto Japan	16	303 0.3×	51 0.1×	134 0.6×	57 0.7×	41 1.2×	65	705
Guangfeng Lin China	15	487 0.5×	106 0.3×	172 0.8×	58 0.7×	8 0.2×	45	650
Yongjian Hu China	20	1.5k 1.5×	100 0.3×	186 0.8×	93 1.2×	32 1.0×	90	1.7k
Amit Choudhary India	8	291 0.3×	156 0.4×	123 0.6×	18 0.2×	31 0.9×	24	494
Hsiao-Rong Tyan Taiwan	12	315 0.3×	71 0.2×	125 0.6×	11 0.1×	86 2.6×	27	441
V. R. Vijaykumar India	11	180 0.2×	117 0.3×	59 0.3×	32 0.4×	92 2.8×	32	386

Countries citing papers authored by Mingkun Yang

Since Specialization

Citations

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

Fields of papers citing papers by Mingkun Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingkun Yang

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

All Works

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20 of 20 papers shown

Shao, Haijian, et al.. (2025). Hybrid multi‐scale residual network for high‐voltage circuit breakers fault diagnosis. Electronics Letters. 61(1). 3 indexed citations

Yang, Mingkun, et al.. (2025). Elevated IAP in critically ill patients associated with increased AKI incidence: a cohort study from the MIMIC-IV database. Scientific Reports. 15(1). 8245–8245. 1 indexed citations

Yang, Mingkun, et al.. (2025). Impact of the Geriatric Nutritional Risk Index on short-term prognosis of patients with sepsis-related acute kidney injury: analysis using the MIMIC-IV database. BMC Nephrology. 26(1). 205–205. 1 indexed citations

Chen, Shuwen, et al.. (2024). Robust lithium-ion battery state of health estimation based on recursive feature elimination-deep Bidirectional long short-term memory model using partial charging data. International Journal of Electrochemical Science. 20(1). 100891–100891. 3 indexed citations

Yang, Mingkun, et al.. (2024). Sequential visual and semantic consistency for semi-supervised text recognition. Pattern Recognition Letters. 178. 174–180. 2 indexed citations

Yang, Mingkun, et al.. (2024). Efficacy and safety of calcineurin inhibitors (CNIs) for septic patients in ICU: a cohort study from MIMIC database. Frontiers in Pharmacology. 15. 1394553–1394553.

Yang, Mingkun, et al.. (2023). Class-Aware Mask-guided feature refinement for scene text recognition. Pattern Recognition. 149. 110244–110244. 10 indexed citations

Zhang, Wenqing, Hongye Liu, Mingkun Yang, et al.. (2022). Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4553–4562. 63 indexed citations

Yang, Mingkun, Haitian Zheng, Xiang Bai, & Jiebo Luo. (2021). Cost-Effective Adversarial Attacks against Scene Text Recognition. 2368–2374. 8 indexed citations

10.

Zhang, Hui, Quanming Yao, Mingkun Yang, Yongchao Xu, & Xiang Bai. (2020). Efficient Backbone Search for Scene Text Recognition.. arXiv (Cornell University). 7 indexed citations

11.

Wang, Hao, Hui Zhang, Mingkun Yang, et al.. (2020). All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 12160–12167. 92 indexed citations

12.

Bai, Xiang, Mingkun Yang, Tengteng Huang, et al.. (2019). Deep-Person: Learning discriminative deep features for person Re-Identification. Pattern Recognition. 98. 107036–107036. 170 indexed citations

13.

Yang, Mingkun, Yushuo Guan, Minghui Liao, et al.. (2019). Symmetry-Constrained Rectification Network for Scene Text Recognition. 9146–9155. 93 indexed citations

14.

Shi, Baoguang, Mingkun Yang, Xinggang Wang, et al.. (2018). ASTER: An Attentional Scene Text Recognizer with Flexible Rectification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(9). 2035–2048. 484 indexed citations breakdown →

15.

Bai, Xiang, Minghui Liao, Baoguang Shi, & Mingkun Yang. (2018). Deep learning for scene text detection and recognition. Scientia Sinica Informationis. 48(5). 531–544. 7 indexed citations

16.

Bai, Xiang, Mingkun Yang, Pengyuan Lyu, & Yongchao Xu. (2017). Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification with Convolutional Neural Networks.. arXiv (Cornell University). 7 indexed citations

17.

Zhu, Yingying, Minghui Liao, Mingkun Yang, & Wenyu Liu. (2017). Cascaded Segmentation-Detection Networks for Text-Based Traffic Sign Detection. IEEE Transactions on Intelligent Transportation Systems. 19(1). 209–219. 82 indexed citations

18.

Yang, Mingkun, et al.. (2015). Expression and significance of telomerase in the nucleus pulposus tissues of degenerative lumbar discs. Biomedical Reports. 3(6). 813–817. 2 indexed citations

19.

Nordström, Tomas, et al.. (2014). An evaluation of code generation of dataflow languages on manycore architectures. 1–9. 7 indexed citations

20.

Yang, Mingkun. (2013). CAL code generator for Epiphany architecture. KTH Publication Database DiVA (KTH Royal Institute of Technology). 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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