Yunlong Liang

420 total citations
17 papers, 229 citations indexed

About

Yunlong Liang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Pharmacology. According to data from OpenAlex, Yunlong Liang has authored 17 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Pharmacology. Recurrent topics in Yunlong Liang's work include Natural Language Processing Techniques (11 papers), Topic Modeling (9 papers) and Text and Document Classification Technologies (4 papers). Yunlong Liang is often cited by papers focused on Natural Language Processing Techniques (11 papers), Topic Modeling (9 papers) and Text and Document Classification Technologies (4 papers). Yunlong Liang collaborates with scholars based in China, United Kingdom and United States. Yunlong Liang's co-authors include Jie Zhou, Fandong Meng, Jiaan Wang, Jinan Xu, Zhixu Li, Jianfeng Qu, Yufeng Chen, Fandong Meng, Yaoguo Zheng and Licheng Jiao and has published in prestigious journals such as BMC Public Health, IEEE Geoscience and Remote Sensing Letters and Computational Materials Science.

In The Last Decade

Yunlong Liang

17 papers receiving 225 citations

Peers

Yunlong Liang
Qihuang Zhong China
Jiaan Wang China
Shadman Sakib Bangladesh
Aman Chadha United States
Hongying Zan China
Sharvari Govilkar India
Zheng Yong United States
Arjun Akula United States
Om Thakkar United States
Lintang Sutawika United States
Qihuang Zhong China
Yunlong Liang
Citations per year, relative to Yunlong Liang Yunlong Liang (= 1×) peers Qihuang Zhong

Countries citing papers authored by Yunlong Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yunlong Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunlong Liang

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

All Works

17 of 17 papers shown
1.
Liang, Yunlong. (2024). Life course socioeconomic status, chronic pain, and the mediating role of allostatic load: findings from the midlife in the United States. Frontiers in Public Health. 12. 1365105–1365105. 3 indexed citations
2.
Liang, Yunlong, Fandong Meng, Jiaan Wang, et al.. (2024). Continual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine Translation. 10914–10928. 2 indexed citations
3.
Liang, Yunlong & Cara Booker. (2024). Allostatic load and chronic pain: a prospective finding from the national survey of midlife development in the United States, 2004–2014. BMC Public Health. 24(1). 416–416. 4 indexed citations
4.
Liu, Yi, et al.. (2024). WC electron microscopy image segmentation based on improved watershed and Hu-moment edge matching algorithms. Computational Materials Science. 246. 113401–113401. 3 indexed citations
5.
Wang, Jiaan, et al.. (2024). Cross-Lingual Knowledge Editing in Large Language Models. 11676–11686. 2 indexed citations
6.
Liang, Yunlong, Fandong Meng, Jinan Xu, et al.. (2023). Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization. 2934–2951. 10 indexed citations
7.
Liang, Yunlong, et al.. (2023). Towards Understanding and Improving Knowledge Distillation for Neural Machine Translation. 8062–8079. 4 indexed citations
8.
Wang, Jiaan, Yunlong Liang, Fandong Meng, et al.. (2023). Is ChatGPT a Good NLG Evaluator? A Preliminary Study. 1–11. 119 indexed citations
9.
Liang, Yunlong, Fandong Meng, Jiaan Wang, et al.. (2023). D2TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization. 14910–14922. 4 indexed citations
10.
Liu, Zhenwei, Wenjie Zhang, Qi Cao, et al.. (2023). Joint Beamforming and Deployment Design for IRS-aided Energy Harvest IoT Network. 19. 720–724. 1 indexed citations
11.
Wang, Jiaan, Fandong Meng, Duo Zheng, et al.. (2023). Towards Unifying Multi-Lingual and Cross-Lingual Summarization. 15127–15143. 13 indexed citations
12.
Wang, Jiaan, et al.. (2023). Understanding Translationese in Cross-Lingual Summarization. 3837–3849. 3 indexed citations
13.
Zhou, Chulun, Yunlong Liang, Fandong Meng, et al.. (2023). RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training. 11747–11762. 2 indexed citations
14.
Wang, Jiaan, Yunlong Liang, Fandong Meng, et al.. (2023). Zero-Shot Cross-Lingual Summarization via Large Language Models. 12–23. 24 indexed citations
15.
Liang, Yunlong, Fandong Meng, Chulun Zhou, et al.. (2022). A Variational Hierarchical Model for Neural Cross-Lingual Summarization. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2088–2099. 21 indexed citations
16.
Liang, Yunlong, Fandong Meng, Jinan Xu, Yufeng Chen, & Jie Zhou. (2022). Scheduled Multi-task Learning for Neural Chat Translation. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 4375–4388. 1 indexed citations
17.
Zhang, Xiangrong, Yunlong Liang, Yaoguo Zheng, Jinliang An, & Licheng Jiao. (2016). Hierarchical Discriminative Feature Learning for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 13(4). 594–598. 13 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Qihuang Zhong Breakdown of academic impact, for papers by Jiaan Wang Breakdown of academic impact, for papers by Shadman Sakib Breakdown of academic impact, for papers by Aman Chadha Breakdown of academic impact, for papers by Hongying Zan Breakdown of academic impact, for papers by Sharvari Govilkar Breakdown of academic impact, for papers by Zheng Yong Breakdown of academic impact, for papers by Arjun Akula Breakdown of academic impact, for papers by Om Thakkar Breakdown of academic impact, for papers by Lintang Sutawika
Rankless by CCL
2026