Licheng Yu

8.4k total citations · 2 hit papers
91 papers, 2.0k citations indexed

About

Licheng Yu is a scholar working on Computer Vision and Pattern Recognition, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Licheng Yu has authored 91 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 17 papers in Materials Chemistry and 16 papers in Artificial Intelligence. Recurrent topics in Licheng Yu's work include Multimodal Machine Learning Applications (16 papers), Parallel Computing and Optimization Techniques (15 papers) and Advanced Data Storage Technologies (10 papers). Licheng Yu is often cited by papers focused on Multimodal Machine Learning Applications (16 papers), Parallel Computing and Optimization Techniques (15 papers) and Advanced Data Storage Technologies (10 papers). Licheng Yu collaborates with scholars based in China, United States and Israel. Licheng Yu's co-authors include Tamara L. Berg, Mohit Bansal, Zhe Gan, Jie Lei, Linjie Li, Jingjing Liu, Yen‐Chun Chen, Yu Cheng, Hongteng Xu and Yu Cheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Chemical Communications.

In The Last Decade

Licheng Yu

86 papers receiving 1.9k citations

Hit Papers

TVQA: Localized, Compositional Video Question Answering 2018 2026 2020 2023 2018 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Licheng Yu China 22 1.2k 689 296 219 132 91 2.0k
Bin Zhou China 21 249 0.2× 150 0.2× 108 0.4× 208 0.9× 132 1.0× 153 1.6k
Jing Dong China 21 1.8k 1.6× 336 0.5× 121 0.4× 67 0.3× 23 0.2× 83 2.2k
Liang Ding China 22 300 0.3× 822 1.2× 131 0.4× 346 1.6× 268 2.0× 166 2.0k
Jiandong Wang China 26 152 0.1× 516 0.7× 196 0.7× 417 1.9× 200 1.5× 128 2.0k
Yuan Xiao China 20 240 0.2× 100 0.1× 301 1.0× 94 0.4× 45 0.3× 82 1.4k
Chunyuan Li China 17 218 0.2× 292 0.4× 34 0.1× 125 0.6× 117 0.9× 46 1.1k
Wei Wen China 23 335 0.3× 413 0.6× 146 0.5× 223 1.0× 28 0.2× 63 1.4k
Yujie Wang China 23 542 0.5× 256 0.4× 147 0.5× 142 0.6× 24 0.2× 82 1.9k
Xin Sui China 25 238 0.2× 170 0.2× 1.1k 3.6× 252 1.2× 232 1.8× 83 2.4k

Countries citing papers authored by Licheng Yu

Since Specialization
Citations

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

Fields of papers citing papers by Licheng Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Licheng Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Licheng Yu. A scholar is included among the top collaborators of Licheng Yu 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 Licheng Yu. Licheng Yu 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.
Yang, Yi, Licheng Yu, Liang He, et al.. (2024). Non-tandem enzymatic modules-encapsulated metal-organic framework cubes with mutual-validated operation for dual-modal competitive immunoassay of antibiotics. Sensors and Actuators B Chemical. 427. 137160–137160.
2.
Jiang, Jindong, Di Liu, Licheng Yu, et al.. (2024). Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. 7496–7506. 1 indexed citations
3.
Yang, Yi, Licheng Yu, Xiaowen Jiang, et al.. (2024). Recent advances in photonic crystal-based chemical sensors. Chemical Communications. 60(69). 9177–9193. 11 indexed citations
4.
Nie, Zhihao, Licheng Yu, Lili Jiang, et al.. (2023). Metal‐organic framework (MOF) thickness control for carbon dioxide electroreduction to formate. SHILAP Revista de lepidopterología. 2(4). 458–466. 14 indexed citations
5.
Yu, Licheng, Xiaoxuan Li, Yijun Li, et al.. (2023). An aptamer-functionalized photonic crystal sensor for ultrasensitive and label-free detection of aflatoxin B1. Talanta. 260. 124638–124638. 15 indexed citations
6.
Xia, Baokai, Qi Huang, Kaijie Wu, et al.. (2023). Dynamic gas‐diffusion electrodes for oxygen electroreduction to hydrogen peroxide. AIChE Journal. 69(5). 9 indexed citations
7.
Yang, Yi, Licheng Yu, Xiaowen Jiang, et al.. (2023). Dissipative enzymatic catalysis-driven modulation of coordination mode and cation valence in MOFs responsive for dual-modality enzyme assay. Sensors and Actuators B Chemical. 401. 135090–135090. 6 indexed citations
8.
Zhu, Xiatian, et al.. (2023). FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks. 2669–2680. 25 indexed citations
9.
Yu, Licheng, Zhihao Nie, Lili Jiang, et al.. (2023). Bioinspired inhibition of aggregation in metal-organic frameworks (MOFs). iScience. 26(3). 106239–106239. 9 indexed citations
10.
Mirchandani, Suvir, Licheng Yu, Mengjiao Wang, et al.. (2022). FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning. 10484–10497. 8 indexed citations
11.
Zhou, Mingyang, Licheng Yu, Amanpreet Singh, et al.. (2022). Unsupervised Vision-and-Language Pretraining via Retrieval-based Multi-Granular Alignment. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16464–16473. 20 indexed citations
12.
Sun, Yuntong, Lei Yu, Shuaishuai Xu, et al.. (2022). Asymmetric acidic/alkaline N2 electrofixation accelerated by high‐entropy metal–organic framework derivatives. Carbon Energy. 5(3). 57 indexed citations
13.
Li, Linjie, Jie Lei, Zhe Gan, et al.. (2021). VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. arXiv (Cornell University). 1 indexed citations
14.
Liu, Jingzhou, Wenhu Chen, Yu Cheng, et al.. (2020). Violin: A Large-Scale Dataset for Video-and-Language Inference. 10897–10907. 42 indexed citations
15.
Li, Linjie, Yen‐Chun Chen, Yu Cheng, et al.. (2020). HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training. 2046–2065. 265 indexed citations breakdown →
16.
Lei, Jie, Licheng Yu, Mohit Bansal, & Tamara L. Berg. (2018). TVQA: Localized, Compositional Video Question Answering. 1369–1379. 295 indexed citations breakdown →
17.
Xu, Hongteng, Licheng Yu, Mark A. Davenport, & Hongyuan Zha. (2017). Active manifold learning via a unified framework for manifold landmarking.. arXiv (Cornell University). 1 indexed citations
18.
Yu, Licheng, Eunbyung Park, Alexander C. Berg, & Tamara L. Berg. (2015). Visual Madlibs: Fill in the Blank Description Generation and Question Answering. 2461–2469. 85 indexed citations
19.
Yu, Licheng, et al.. (2014). MCMG simulator: A unified simulation framework for CPU and graphic GPU. Journal of Computer and System Sciences. 81(1). 57–71. 7 indexed citations
20.
Yu, Licheng, Hongteng Xu, Yi Xu, & Xiaokang Yang. (2012). Robust single image super-resolution based on gradient enhancement. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–6. 5 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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