Yaobo Liang

1.2k total citations · 1 hit paper
20 papers, 402 citations indexed

About

Yaobo Liang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Yaobo Liang has authored 20 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Infectious Diseases. Recurrent topics in Yaobo Liang's work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Multimodal Machine Learning Applications (7 papers). Yaobo Liang is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Multimodal Machine Learning Applications (7 papers). Yaobo Liang collaborates with scholars based in China, United Kingdom and United States. Yaobo Liang's co-authors include Nan Duan, Ming Zhou, Linjun Shou, Daxin Jiang, Ming Gong, Haoyang Huang, Lei Ji, Weizhu Chen, Wanjun Zhong and Shuai Lü and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Public Health and Journal of Medical Virology.

In The Last Decade

Yaobo Liang

18 papers receiving 388 citations

Hit Papers

AGIEval: A Human-Centric Benchmark for Evaluating Foundat... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaobo Liang China 11 250 128 52 31 29 20 402
Mubarak Taiwo Mustapha Cyprus 11 134 0.5× 59 0.5× 27 0.5× 49 1.6× 20 0.7× 22 412
Manish Mahajan India 9 42 0.2× 61 0.5× 13 0.3× 15 0.5× 36 1.2× 55 251
Olugbenga Oluwagbemi Nigeria 11 48 0.2× 41 0.3× 36 0.7× 25 0.8× 19 0.7× 37 317
M.A. Ansari India 8 91 0.4× 111 0.9× 29 0.6× 5 0.2× 4 0.1× 24 298
K. S. Swathi India 10 139 0.6× 106 0.8× 18 0.3× 89 2.9× 7 0.2× 28 404
Manuel de Buenaga Rodríguez Spain 11 143 0.6× 28 0.2× 24 0.5× 7 0.2× 72 2.5× 49 325
Maribel Acosta Germany 8 126 0.5× 19 0.1× 123 2.4× 6 0.2× 51 1.8× 50 339
Benoît Favre France 16 721 2.9× 83 0.6× 33 0.6× 76 2.6× 57 884
Bingzhe Li United States 14 190 0.8× 54 0.4× 37 0.7× 2 0.1× 90 3.1× 70 566
Kazuhide Yamamoto Japan 11 381 1.5× 24 0.2× 6 0.1× 8 0.3× 29 1.0× 75 447

Countries citing papers authored by Yaobo Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yaobo Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaobo Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yaobo Liang. A scholar is included among the top collaborators of Yaobo 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 Yaobo Liang. Yaobo 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.
Wang, Wenbo, Fangyun Wei, Lei Zhou, et al.. (2025). UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping. 12199–12208.
2.
Guo, Yiduo, Yaobo Liang, Dongyan Zhao, & Nan Duan. (2024). Large Language Models Can Learn Representation in Natural Language. 9145–9154.
3.
Zhang, Ze, Yiduo Guo, Yaobo Liang, Dongyan Zhao, & Nan Duan. (2024). PPTC-R benchmark: Towards Evaluating the Robustness of Large Language Models for PowerPoint Task Completion. 12387–12402. 1 indexed citations
4.
Guo, Yiduo, Ze Zhang, Yaobo Liang, Dongyan Zhao, & Nan Duan. (2024). PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion. 8682–8701. 1 indexed citations
5.
Liang, Yaobo, et al.. (2024). Machine-Created Universal Language for Cross-Lingual Transfer. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 18617–18625. 1 indexed citations
6.
Wang, Zehua, Yaobo Liang, Tao Ge, et al.. (2024). Low-code LLM: Graphical User Interface over Large Language Models. 12–25. 4 indexed citations
7.
Huang, Yiming, Xiao Liu, Yeyun Gong, et al.. (2024). Competition-Level Problems are Effective LLM Evaluators. 13526–13544. 3 indexed citations
8.
Zhong, Wanjun, Yiduo Guo, Yaobo Liang, et al.. (2024). AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models. 2299–2314. 63 indexed citations breakdown →
9.
Liang, Yaobo, Chenfei Wu, Yan Xia, et al.. (2023). TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs. SHILAP Revista de lepidopterología. 3. 55 indexed citations
10.
Liang, Yaobo, et al.. (2022). XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge. Proceedings of the AAAI Conference on Artificial Intelligence. 36(10). 10840–10848. 11 indexed citations
11.
Wu, Ning, Yaobo Liang, Linjun Shou, et al.. (2022). Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 4411–4417. 2 indexed citations
12.
Chen, Qi, et al.. (2021). GLOW : Global Weighted Self-Attention Network for Web Search. 2021 IEEE International Conference on Big Data (Big Data). 519–528. 3 indexed citations
13.
Zheng, Bo, Haoyang Wen, Yaobo Liang, et al.. (2020). Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension. 6708–6718. 36 indexed citations
14.
Shou, Linjun, Ming Gong, Yaobo Liang, et al.. (2020). Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension. 925–934. 12 indexed citations
15.
Huang, Haoyang, Yaobo Liang, Nan Duan, et al.. (2019). Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks. 2485–2494. 104 indexed citations
16.
Shi, Botian, Lei Ji, Yaobo Liang, et al.. (2019). Dense Procedure Captioning in Narrated Instructional Videos. 6382–6391. 44 indexed citations
17.
Zhang, Li, Binhui Wang, Yaobo Liang, et al.. (2017). Phylogenetic characteristics of HIV‐1 among travelers entering China from Myanmar: A retrospective study. Journal of Medical Virology. 89(8). 1404–1411. 11 indexed citations
18.
Wang, Binghui, Yaobo Liang, Yue Feng, et al.. (2015). Prevalence of human immunodeficiency virus 1 infection in the last decade among entry travelers in Yunnan Province, China. BMC Public Health. 15(1). 362–362. 12 indexed citations
19.
Wang, Binghui, Yaping Li, Yue Feng, et al.. (2015). Phylogenetic analysis of dengue virus reveals the high relatedness between imported and local strains during the 2013 dengue outbreak in Yunnan, China: a retrospective analysis. BMC Infectious Diseases. 15(1). 142–142. 24 indexed citations
20.
Wang, Yajuan, Yaobo Liang, Yue Feng, et al.. (2015). HIV-1 prevalence and subtype/recombinant distribution among travelers entering China from Vietnam at the HeKou port in the Yunnan province, China, between 2003 and 2012. Journal of Medical Virology. 87(9). 1500–1509. 15 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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