Yuexing Hao

1.6k total citations · 1 hit paper
32 papers, 859 citations indexed

About

Yuexing Hao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Yuexing Hao has authored 32 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Yuexing Hao's work include Topic Modeling (6 papers), Advanced Neural Network Applications (5 papers) and Phonocardiography and Auscultation Techniques (4 papers). Yuexing Hao is often cited by papers focused on Topic Modeling (6 papers), Advanced Neural Network Applications (5 papers) and Phonocardiography and Auscultation Techniques (4 papers). Yuexing Hao collaborates with scholars based in China, United States and Singapore. Yuexing Hao's co-authors include Hongyun Bao, Suncong Zheng, Bo Xu, Peng Zhou, Feng Wang, Hongwei Hao, Jiaming Xu, Dongyuan Lü, Ruichu Cai and Yuan Fang and has published in prestigious journals such as Bioinformatics, Expert Systems with Applications and Sensors.

In The Last Decade

Yuexing Hao

30 papers receiving 831 citations

Hit Papers

Joint Extraction of Entities and Relations Based on a Nov... 2017 2026 2020 2023 2017 100 200 300 400

Peers

Yuexing Hao
Doug Fisher United States
Rajiv Khanna United States
Linhao Luo Australia
Yuexing Hao
Citations per year, relative to Yuexing Hao Yuexing Hao (= 1×) peers Nahla Barakat

Countries citing papers authored by Yuexing Hao

Since Specialization
Citations

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

Fields of papers citing papers by Yuexing Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuexing Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Yuexing Hao. A scholar is included among the top collaborators of Yuexing Hao 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 Yuexing Hao. Yuexing Hao 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.
Hao, Yuexing, et al.. (2025). Large language model integrations in cancer decision-making: a systematic review and meta-analysis. npj Digital Medicine. 8(1). 450–450. 2 indexed citations
2.
Hao, Yuexing, Jason Holmes, Alexandra Bennett, et al.. (2025). Retrospective Comparative Analysis of Prostate Cancer In-Basket Messages: Responses From Closed-Domain Large Language Models Versus Clinical Teams. PubMed. 3(1). 100198–100198. 4 indexed citations
3.
Hao, Yuexing, et al.. (2024). Knowledge distillation via Noisy Feature Reconstruction. Expert Systems with Applications. 257. 124837–124837. 2 indexed citations
4.
Hao, Yuexing, et al.. (2024). Bridging local and global representations for self-supervised monocular depth estimation. Engineering Applications of Artificial Intelligence. 133. 108277–108277. 1 indexed citations
5.
Hao, Yuexing, et al.. (2024). Digital Twin-Driven Teat Localization and Shape Identification for Dairy Cow (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23510–23511.
6.
Chen, Li, et al.. (2024). DANNMCTG: Domain-Adversarial Training of Neural Network for multicenter antenatal cardiotocography signal classification. Biomedical Signal Processing and Control. 94. 106259–106259. 4 indexed citations
7.
Hao, Yuexing, et al.. (2024). Decoupling foreground and background with Siamese ViT networks for weakly-supervised semantic segmentation. Neurocomputing. 610. 128540–128540. 7 indexed citations
9.
Hao, Yuexing, et al.. (2023). CoG-Trans: coupled graph convolutional transformer for multi-label classification of cherry defects. Neural Computing and Applications. 35(21). 15365–15379. 2 indexed citations
10.
Feng, Junyuan, et al.. (2023). A hybrid stacked ensemble and Kernel SHAP-based model for intelligent cardiotocography classification and interpretability. BMC Medical Informatics and Decision Making. 23(1). 273–273. 6 indexed citations
11.
Cai, Ruichu, et al.. (2023). REST: Debiased Social Recommendation via Reconstructing Exposure Strategies. ACM Transactions on Knowledge Discovery from Data. 18(2). 1–24. 4 indexed citations
12.
Hao, Yuexing, et al.. (2023). EBNAS: Efficient binary network design for image classification via neural architecture search. Engineering Applications of Artificial Intelligence. 120. 105845–105845. 16 indexed citations
14.
Cao, Zhen, Guoqiang Wang, Ling Xu, et al.. (2023). Intelligent antepartum fetal monitoring via deep learning and fusion of cardiotocographic signals and clinical data. Health Information Science and Systems. 11(1). 16–16. 10 indexed citations
15.
Hao, Yuexing, et al.. (2023). VNGEP: Filter pruning based on von Neumann graph entropy. Neurocomputing. 528. 113–124. 6 indexed citations
16.
Cai, Ruichu, et al.. (2020). Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers. Bioinformatics. 36(16). 4458–4465. 64 indexed citations
17.
Chen, Shudong, et al.. (2019). A multi-Cross Matching Network for Chinese Named Entity Linking in Short Text. Journal of Physics Conference Series. 1325(1). 12069–12069. 2 indexed citations
18.
Zheng, Suncong, Feng Wang, Hongyun Bao, et al.. (2017). Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme. 1227–1236. 416 indexed citations breakdown →
19.
Zheng, Suncong, Yuexing Hao, Dongyuan Lü, et al.. (2017). Joint entity and relation extraction based on a hybrid neural network. Neurocomputing. 257. 59–66. 177 indexed citations
20.
Wang, Demin, et al.. (1993). Results of Two Polymer Flooding Pilots in the Central Area of Daqing Oil Field. Proceedings of SPE Annual Technical Conference and Exhibition. 3 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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