Yitao Liang

1.3k total citations · 1 hit paper
50 papers, 717 citations indexed

About

Yitao Liang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Yitao Liang has authored 50 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Yitao Liang's work include Image Enhancement Techniques (8 papers), Advanced Chemical Sensor Technologies (6 papers) and Bayesian Modeling and Causal Inference (4 papers). Yitao Liang is often cited by papers focused on Image Enhancement Techniques (8 papers), Advanced Chemical Sensor Technologies (6 papers) and Bayesian Modeling and Causal Inference (4 papers). Yitao Liang collaborates with scholars based in China, United States and Canada. Yitao Liang's co-authors include Xiaoyuan Zhang, Jianzhong Zhou, Yi Zang, Guy Van den Broeck, Tiejun Yang, Marlos C. Machado, Michael Bowling, Erik Talvitie, Feng Wang and Wei Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Yitao Liang

39 papers receiving 685 citations

Hit Papers

A novel bearing fault diagnosis model integrated permutat... 2015 2026 2018 2022 2015 100 200 300 400
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. A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM
    2015 486 citations Yitao Liang 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
Yitao Liang China 9 435 275 164 143 69 50 717
N. Saravanan India 14 513 1.2× 317 1.2× 130 0.8× 265 1.9× 47 0.7× 35 921
Thomas W. Rauber Brazil 12 431 1.0× 245 0.9× 140 0.9× 149 1.0× 74 1.1× 39 653
Chao Tan China 16 203 0.5× 291 1.1× 107 0.7× 115 0.8× 131 1.9× 61 708
Jinglin Zhou China 20 629 1.4× 246 0.9× 45 0.3× 151 1.1× 61 0.9× 94 887
Huimin Zhao China 11 236 0.5× 146 0.5× 78 0.5× 125 0.9× 86 1.2× 26 555
Sanjay V. Dudul India 13 285 0.7× 135 0.5× 90 0.5× 148 1.0× 78 1.1× 54 664
Shaoyuan Sun China 14 225 0.5× 127 0.5× 40 0.2× 104 0.7× 328 4.8× 49 828
Dongyue Chen China 10 291 0.7× 126 0.5× 60 0.4× 277 1.9× 113 1.6× 31 669
Xinyan Li China 7 174 0.4× 103 0.4× 56 0.3× 109 0.8× 58 0.8× 17 395
Jiangang Lu China 17 203 0.5× 239 0.9× 28 0.2× 175 1.2× 75 1.1× 101 870

Countries citing papers authored by Yitao Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yitao Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yitao Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yitao Liang. A scholar is included among the top collaborators of Yitao 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 Yitao Liang. Yitao Liang 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.
Tang, Xiaojuan, Song‐Chun Zhu, Yitao Liang, & Muhan Zhang. (2024). RulE: Knowledge Graph Reasoning with Rule Embedding. 4316–4335. 1 indexed citations
3.
Liang, Yitao, et al.. (2024). Detection Methods for Wheat Freshness: A Review. 1(3). 64–73.
4.
Chen, Yahui, et al.. (2024). Underwater Image Enhancement via Higher-Order Moment CLAHE Model and V Channel Substitute. International Journal of Advanced Computer Science and Applications. 15(3).
5.
Wang, Zihao, et al.. (2024). JARVIS-1: Open-World Multi-Task Agents With Memory-Augmented Multimodal Language Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(3). 1894–1907. 3 indexed citations
6.
Xu, Hongming, et al.. (2023). Out-of-Distribution Generalization by Neural-Symbolic Joint Training. Proceedings of the AAAI Conference on Artificial Intelligence. 37(10). 12252–12259. 2 indexed citations
7.
Liang, Yitao, et al.. (2021). Juice: A Julia Package for Logic and Probabilistic Circuits. Proceedings of the AAAI Conference on Artificial Intelligence. 35(18). 16020–16023. 7 indexed citations
8.
He, Tong, et al.. (2020). SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning. 156–175. 2 indexed citations
9.
He, Tong, et al.. (2019). LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning.. arXiv (Cornell University). 5 indexed citations
10.
Liang, Yitao, et al.. (2019). On Tractable Computation of Expected Predictions. arXiv (Cornell University). 32. 11167–11178. 7 indexed citations
11.
Li, Peiling, et al.. (2019). Single Image Defogging Method Based on Adaptive Modified Dark Channel Value. 2 indexed citations
12.
Hu, Zehong, Yitao Liang, Jie Zhang, Zhao Li, & Yang Liu. (2018). Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. arXiv (Cornell University). 31. 5507–5517. 6 indexed citations
13.
Liang, Yitao, et al.. (2018). Object Tracking Algorithm based on Multi-channel Extraction of AHLBP Texture Features. 43. 332–336. 3 indexed citations
14.
Liang, Yitao, et al.. (2017). Learning the Structure of Probabilistic Sentential Decision Diagrams. Lirias (KU Leuven). 25 indexed citations
15.
Liang, Yitao & Guy Van den Broeck. (2017). Towards Compact Interpretable Models: Shrinking of Learned Probabilistic Sentential Decision Diagrams. International Joint Conference on Artificial Intelligence. 4 indexed citations
16.
Xu, Jingyi, Zilu Zhang, Tal Friedman, Yitao Liang, & Guy Van den Broeck. (2017). A Semantic Loss Function for Deep Learning Under Weak Supervision. Neural Information Processing Systems. 1 indexed citations
17.
Liang, Yitao, Marlos C. Machado, Erik Talvitie, & Michael Bowling. (2016). State of the Art Control of Atari Games Using Shallow Reinforcement Learning. Adaptive Agents and Multi-Agents Systems. 485–493. 23 indexed citations
18.
Liang, Yitao, et al.. (2015). Efficient detection of internal infestation in wheat based on biophotonics. Journal of Photochemistry and Photobiology B Biology. 155. 137–143. 8 indexed citations
19.
Liang, Yitao, et al.. (2010). The Study of Acquisition Technology in the Grossness Field Inspection System of Stored-Grain. 115–118. 1 indexed citations
20.
Liang, Yitao, et al.. (2008). Preprocessing study of retinal image based on component extraction. 670–672. 21 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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