Yanghui Rao

2.2k total citations
88 papers, 1.1k citations indexed

About

Yanghui Rao is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yanghui Rao has authored 88 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Artificial Intelligence, 21 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yanghui Rao's work include Topic Modeling (40 papers), Sentiment Analysis and Opinion Mining (32 papers) and Advanced Text Analysis Techniques (30 papers). Yanghui Rao is often cited by papers focused on Topic Modeling (40 papers), Sentiment Analysis and Opinion Mining (32 papers) and Advanced Text Analysis Techniques (30 papers). Yanghui Rao collaborates with scholars based in China, Hong Kong and India. Yanghui Rao's co-authors include Haoran Xie, Fu Lee Wang, Qing Li, Fengmei Jin, Jun Li, Tak-Lam Wong, Mohit Kumar, Raymond Y.K. Lau, Jian Yin and Jiahai Wang and has published in prestigious journals such as Bioinformatics, Expert Systems with Applications and Information Sciences.

In The Last Decade

Yanghui Rao

81 papers receiving 1.1k citations

Peers

Yanghui Rao

AI

IS

CVPR

SPS

SNP

Noah Constant United States

Brian Strope United States

Yanyan Zhao China

John A. Bullinaria United Kingdom

Chris Biemann Germany

Rehab Duwairi Jordan

Vivek Kulkarni United States

Tim Rocktäschel United Kingdom

Rui Mao Singapore

Grigori Sidorov Mexico

Noah Constant United States

Yanghui Rao

2.1k ×2.6

AI

275 ×1.1

IS

451 ×4.6

CVPR

122 ×1.4

SPS

38 ×0.5

SNP

Citations per year, relative to Yanghui Rao Yanghui Rao (= 1×) peers Noah Constant

Countries citing papers authored by Yanghui Rao

Since Specialization

Citations

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

Fields of papers citing papers by Yanghui Rao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanghui Rao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Rao, Yanghui, et al.. (2024). A self-training interpretable cell type annotation framework using specific marker gene. Bioinformatics. 40(10).

2.

Yu, Jianxing, et al.. (2024). Diversified generation of commonsense reasoning questions. Expert Systems with Applications. 263. 125776–125776.

3.

Yu, Jianxing, Shiqi Wang, Han Yin, et al.. (2024). Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference. 10300–10317.

4.

Lau, Raymond Y.K., et al.. (2024). Business chatbots with deep learning technologies: state-of-the-art, taxonomies, and future research directions. Artificial Intelligence Review. 57(5). 4 indexed citations

5.

Dai, Zhiming, et al.. (2024). Comprehensive single-cell RNA-seq analysis using deep interpretable generative modeling guided by biological hierarchy knowledge. Briefings in Bioinformatics. 25(4). 2 indexed citations

6.

Rao, Yanghui, et al.. (2023). NMTF-LTM: Towards an Alignment of Semantics for Lifelong Topic Modeling. IEEE Transactions on Knowledge and Data Engineering. 35(10). 10616–10632. 1 indexed citations

7.

Rao, Yanghui, et al.. (2023). Nonlinear Structural Equation Model Guided Gaussian Mixture Hierarchical Topic Modeling. 10377–10390. 4 indexed citations

8.

Rao, Yanghui, et al.. (2023). Graph-based Relation Mining for Context-free Out-of-vocabulary Word Embedding Learning. 14133–14149.

9.

Rao, Yanghui, et al.. (2023). Counterfactual Multihop QA: A Cause-Effect Approach for Reducing Disconnected Reasoning. 4214–4226. 2 indexed citations

10.

Chen, Yufu, Yanghui Rao, Shurui Chen, et al.. (2022). Semi-Supervised Sentiment Classification and Emotion Distribution Learning Across Domains. ACM Transactions on Knowledge Discovery from Data. 17(5). 1–30. 2 indexed citations

11.

Luo, Ling, et al.. (2022). A deep data augmentation framework based on generative adversarial networks. Multimedia Tools and Applications. 81(29). 42871–42887. 7 indexed citations

12.

Xie, Haoran, et al.. (2021). Pronunciation-Enhanced Chinese Word Embedding. Cognitive Computation. 13(3). 688–697. 6 indexed citations

13.

Rao, Yanghui, Haoran Xie, Xizhao Wang, et al.. (2019). Fast Supervised Topic Models for Short Text Emotion Detection. IEEE Transactions on Cybernetics. 51(2). 815–828. 33 indexed citations

14.

Rao, Yanghui, et al.. (2019). Learning from Multi-annotator Data. ACM Transactions on Information Systems. 37(2). 1–28. 8 indexed citations

15.

Rao, Yanghui, et al.. (2016). A note on large cardamom (Amomum subulatum Roxb.) germplasm collection. Journal of Spices and Aromatic Crops. 2. 77–80. 3 indexed citations

16.

Rao, Yanghui, et al.. (2016). InfluenceRank: A machine learning approach to measure influence of Twitter users. 1–6. 8 indexed citations

17.

Rao, Yanghui, Jinhua Li, Xue-Ni Lin, et al.. (2016). Copy number variation identification and analysis of the chicken genome using a 60K SNP BeadChip. Poultry Science. 95(8). 1750–1756. 25 indexed citations

18.

Rao, Yanghui, Haoran Xie, Xuebo Liu, et al.. (2016). User authority ranking models for community question answering. Journal of Intelligent & Fuzzy Systems. 31(5). 2533–2542. 1 indexed citations

19.

Zou, Di, Haoran Xie, Yanghui Rao, et al.. (2016). A Comparative Study on Various Vocabulary Knowledge Scales for Predicting Vocabulary Pre-Knowledge. International Journal of Distance Education Technologies. 15(1). 69–81. 3 indexed citations

20.

Zhou, Ming, M. Lei, Yanghui Rao, et al.. (2008). Polymorphisms of Vasoactive Intestinal Peptide Receptor-1 Gene and Their Genetic Effects on Broodiness in Chickens. Poultry Science. 87(5). 893–903. 35 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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