Yaru Hao

1.3k total citations
14 papers, 460 citations indexed

About

Yaru Hao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Yaru Hao has authored 14 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Infectious Diseases. Recurrent topics in Yaru Hao's work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Yaru Hao is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Yaru Hao collaborates with scholars based in China, India and United States. Yaru Hao's co-authors include Furu Wei, Li Dong, Ke Xu, Damai Dai, Zhifang Sui, Baobao Chang, Shuming Ma, Dong Li, Yutao Sun and Long Huang and has published in prestigious journals such as Bioresource Technology, Neurocomputing and Acta Tropica.

In The Last Decade

Yaru Hao

13 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaru Hao China 10 252 84 42 37 35 14 460
Amani K. Samha Saudi Arabia 6 116 0.5× 40 0.5× 38 0.9× 2 0.1× 5 0.1× 14 323
Warda M. Shaban Egypt 11 232 0.9× 58 0.7× 22 0.5× 2 0.1× 4 0.1× 23 507
Narendra Patel India 12 62 0.2× 107 1.3× 48 1.1× 18 0.5× 5 0.1× 55 460
Hongjie Chen China 12 179 0.7× 35 0.4× 34 0.8× 24 0.6× 20 334
Vishal Bharti India 8 51 0.2× 37 0.4× 18 0.4× 2 0.1× 11 0.3× 46 198
Srinath Doss Botswana 7 61 0.2× 50 0.6× 40 1.0× 2 0.1× 3 0.1× 25 246
Heba Mamdouh Farghaly Egypt 6 140 0.6× 37 0.4× 42 1.0× 3 0.1× 8 339
Mohammad Asadpour Iran 6 135 0.5× 29 0.3× 33 0.8× 5 0.1× 21 324

Countries citing papers authored by Yaru Hao

Since Specialization
Citations

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

Fields of papers citing papers by Yaru Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaru Hao

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

All Works

14 of 14 papers shown
1.
Dai, Damai, Yutao Sun, Dong Li, et al.. (2023). Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. 4005–4019. 69 indexed citations
2.
Wang, Xiting, et al.. (2023). Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 12968–12976. 1 indexed citations
3.
4.
Dai, Damai, Li Dong, Yaru Hao, et al.. (2022). Knowledge Neurons in Pretrained Transformers. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 8493–8502. 68 indexed citations
5.
Hao, Yaru, Li Dong, Hangbo Bao, Ke Xu, & Furu Wei. (2021). Learning to Sample Replacements for ELECTRA Pre-Training. 4495–4506. 4 indexed citations
6.
Hao, Yaru, Li Dong, Furu Wei, & Ke Xu. (2021). Self-Attention Attribution: Interpreting Information Interactions Inside Transformer. Proceedings of the AAAI Conference on Artificial Intelligence. 35(14). 12963–12971. 95 indexed citations
7.
Hao, Yaru, Li Dong, Furu Wei, & Ke Xu. (2020). Investigating Learning Dynamics of BERT Fine-Tuning. 87–92. 9 indexed citations
8.
Hao, Yaru, Li Dong, Furu Wei, & Ke Xu. (2019). Visualizing and Understanding the Effectiveness of BERT. 4141–4150. 90 indexed citations
9.
Wen, Qinxue, et al.. (2018). Effect of sodium chloride on polyhydroxyalkanoate production from food waste fermentation leachate under different organic loading rate. Bioresource Technology. 267. 133–140. 45 indexed citations
10.
Chen, Lili, et al.. (2018). The Diagnosis for the Extrasystole Heart Sound Signals Based on the Deep Learning. Journal of Medical Imaging and Health Informatics. 8(5). 959–968. 12 indexed citations
11.
Hao, Yaru, et al.. (2017). Feature Extraction and Classification of EHG between Pregnancy and Labour Group Using Hilbert-Huang Transform and Extreme Learning Machine. Computational and Mathematical Methods in Medicine. 2017. 1–9. 35 indexed citations
12.
Zheng, Zhihong, et al.. (2017). Comparison of the performance of Moringa oleifera seed protein and polyaluminum chloride in removal of humic acid from water. Desalination and Water Treatment. 90. 214–219. 2 indexed citations
13.
Zhang, Qing, et al.. (2016). Adaptive flocking of heterogeneous multi-agents systems with nonlinear dynamics. Neurocomputing. 216. 72–77. 12 indexed citations
14.
Hao, Yaru. (2009). Luminance Uniformity Evaluation for LED Display Panel Based on Gray Histogram. Chinese Journal of Liquid Crystals and Displays.

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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2026