Liangcai Gao

2.3k total citations
96 papers, 1.1k citations indexed

About

Liangcai Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Liangcai Gao has authored 96 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 32 papers in Artificial Intelligence and 19 papers in Computational Theory and Mathematics. Recurrent topics in Liangcai Gao's work include Handwritten Text Recognition Techniques (31 papers), Mathematics, Computing, and Information Processing (19 papers) and Image Retrieval and Classification Techniques (16 papers). Liangcai Gao is often cited by papers focused on Handwritten Text Recognition Techniques (31 papers), Mathematics, Computing, and Information Processing (19 papers) and Image Retrieval and Classification Techniques (16 papers). Liangcai Gao collaborates with scholars based in China, United States and United Kingdom. Liangcai Gao's co-authors include Zhi Tang, Zhuoren Jiang, Xiaohan Yi, Xiaozhong Liu, Xiaofan Lin, Xiaoyan Lin, Xiaode Zhang, Yongtao Wang, Ke Yuan and Wei Xie and has published in prestigious journals such as Journal of Biological Chemistry, Nature Biotechnology and Biochemical and Biophysical Research Communications.

In The Last Decade

Liangcai Gao

89 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liangcai Gao China 20 536 359 175 131 81 96 1.1k
Qi Guo China 16 374 0.7× 357 1.0× 19 0.1× 54 0.4× 243 3.0× 32 1.5k
Yu Fu China 18 406 0.8× 163 0.5× 16 0.1× 44 0.3× 95 1.2× 95 1.2k
Candong Li China 19 300 0.6× 470 1.3× 86 0.5× 136 1.0× 374 4.6× 82 1.5k
Vincenzo De Florio Belgium 16 200 0.4× 225 0.6× 38 0.2× 123 0.9× 72 0.9× 122 1.1k
Subhadip Basu India 22 1.0k 1.9× 298 0.8× 179 1.0× 36 0.3× 417 5.1× 130 1.8k
Justin Bedő Australia 14 236 0.4× 457 1.3× 112 0.6× 109 0.8× 384 4.7× 29 1.5k
Jingfei Jiang China 14 246 0.5× 171 0.5× 19 0.1× 95 0.7× 78 1.0× 60 689
Cong Lei China 12 285 0.5× 214 0.6× 14 0.1× 18 0.1× 124 1.5× 22 623
Akira Nakamura Japan 19 265 0.5× 242 0.7× 491 2.8× 37 0.3× 134 1.7× 158 1.5k
Phillip C.‐Y. Sheu United States 15 161 0.3× 345 1.0× 91 0.5× 110 0.8× 159 2.0× 125 912

Countries citing papers authored by Liangcai Gao

Since Specialization
Citations

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

Fields of papers citing papers by Liangcai Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangcai Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Liangcai Gao. A scholar is included among the top collaborators of Liangcai 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 Liangcai Gao. Liangcai 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.
2.
Jiang, Jin, Jianing Wang, Yuchen Yan, et al.. (2025). Do Large Language Models excel in Complex Logical Reasoning with Formal Language?. 16889–16914. 1 indexed citations
3.
Chen, Liang, Changming Luan, Mengjia Hong, et al.. (2025). A mitochondrial disease model is generated and corrected using engineered base editors in rat zygotes. Nature Biotechnology. 44(3). 382–386. 1 indexed citations
4.
Xu, Yuan, Yuanqing Guo, Yuanjin Zhang, et al.. (2024). Aspirin increases estrogen levels in the placenta to prevent preeclampsia by regulating placental metabolism and transport function. Biochemical Pharmacology. 230(Pt 1). 116561–116561. 2 indexed citations
5.
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Gao, Liangcai, et al.. (2022). A survey on table recognition technology. Journal of Image and Graphics. 27(6). 1898–1917. 2 indexed citations
7.
Zhang, Haiyang, Ting Yang, Yun Liu, et al.. (2022). Aging-associated REGγ proteasome decline predisposes to tauopathy. Journal of Biological Chemistry. 298(11). 102571–102571. 6 indexed citations
8.
Zhang, Xiaode, et al.. (2021). ConvMath: A Convolutional Sequence Network for Mathematical Expression Recognition. 4566–4572. 9 indexed citations
9.
Gao, Liangcai, et al.. (2021). An Infantile Hemangioma Dataset IH-2021 and a Deep Learning based Recognition Method on it. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 1697–1699. 1 indexed citations
10.
Gao, Liangcai, et al.. (2019). ICDAR 2019 Competition on Table Detection and Recognition (cTDaR). 1510–1515. 67 indexed citations
11.
Gao, Liangcai, et al.. (2018). Antidiabetic and Neuroprotective Effect of the N‐Butanol Extract of Fragaria nilgerrensis Schlecht. in STZ‐Induced Diabetic Mice. Evidence-based Complementary and Alternative Medicine. 2018(1). 6938370–6938370. 3 indexed citations
12.
Li, Bin, et al.. (2018). [Prevalence and risk factors of chronic mountain sickness in Pamirs plateau].. PubMed. 34(4). 336–339. 1 indexed citations
13.
Gao, Liangcai, et al.. (2017). A Deep Learning-Based Formula Detection Method for PDF Documents. 553–558. 20 indexed citations
14.
Gao, Liangcai, Ke Yuan, Yuehan Wang, Zhuoren Jiang, & Zhi Tang. (2016). The Math Retrieval System of ICST for NTCIR-12 MathIR Task.. NTCIR. 7 indexed citations
15.
Wang, Yongtao, et al.. (2014). Comic2CEBX: a system for automatic comic content adaptation. 299–308. 1 indexed citations
16.
Liu, Xiaozhong, Yingying Yu, Chun Guo, Yizhou Sun, & Liangcai Gao. (2014). Full-text based context-rich heterogeneous network mining approach for citation recommendation. 361–370. 25 indexed citations
17.
Gao, Liangcai, et al.. (2014). ICST Math Retrieval System for NTCIR-11 Math-2 Task. NTCIR. 6 indexed citations
18.
19.
Gao, Liangcai, et al.. (2012). Web-based citation parsing, correction and augmentation. 295–304. 4 indexed citations
20.
Gao, Liangcai, Zhi Tang, Xiaofan Lin, Xin Tao, & Yimin Chu. (2009). Analysis of book documents' table of content based on clustering. 911–915. 10 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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