Yankai Lin

12.6k total citations · 5 hit papers
80 papers, 6.1k citations indexed

About

Yankai Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yankai Lin has authored 80 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in Yankai Lin's work include Topic Modeling (63 papers), Natural Language Processing Techniques (46 papers) and Multimodal Machine Learning Applications (16 papers). Yankai Lin is often cited by papers focused on Topic Modeling (63 papers), Natural Language Processing Techniques (46 papers) and Multimodal Machine Learning Applications (16 papers). Yankai Lin collaborates with scholars based in China, United States and Poland. Yankai Lin's co-authors include Zhiyuan Liu, Maosong Sun, Xuan Zhu, Yang Liu, Huanbo Luan, Jie Zhou, Shiqi Shen, Xu Sun, Peng Li and Deli Chen and has published in prestigious journals such as ACM Transactions on Information Systems, IEEE/ACM Transactions on Audio Speech and Language Processing and Frontiers of Computer Science.

In The Last Decade

Yankai Lin

73 papers receiving 5.9k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Learning Entity and Relation Embeddings for Knowledge Graph Completion

2015 2.1k citations Yankai Lin, Zhiyuan Liu et al. profile →
Neural Relation Extraction with Selective Attention over Instances

2016 605 citations Yankai Lin, Shiqi Shen et al. profile →
Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View

2020 585 citations Yankai Lin, Jie Zhou et al. profile →
A survey on large language model based autonomous agents

2024 430 citations Lei Wang, Chen Ma et al. Frontiers of Computer Science profile →
Modeling Relation Paths for Representation Learning of Knowledge Bases

2015 348 citations Yankai Lin, Zhiyuan Liu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yankai Lin China	29	5.3k	1.1k	808	735	421	80	6.1k
Xiang Ren United States	35	4.1k 0.8×	767 0.7×	826 1.0×	384 0.5×	528 1.3×	177	5.0k
Sebastian Riedel United Kingdom	37	6.6k 1.3×	858 0.7×	1.2k 1.4×	726 1.0×	655 1.6×	124	7.4k
Xuanjing Huang China	41	5.6k 1.1×	1.1k 1.0×	1.3k 1.6×	435 0.6×	312 0.7×	233	6.7k
Kurt Bollacker United States	15	3.7k 0.7×	1.4k 1.2×	578 0.7×	755 1.0×	333 0.8×	27	4.6k
Chenliang Li China	32	3.4k 0.6×	1.5k 1.3×	595 0.7×	418 0.6×	170 0.4×	134	4.5k
Xiaoyan Zhu China	38	5.1k 1.0×	1.3k 1.2×	669 0.8×	342 0.5×	223 0.5×	171	6.4k
Pradeep Ravikumar United States	29	2.5k 0.5×	709 0.6×	521 0.6×	833 1.1×	424 1.0×	103	4.0k
Chao Huang China	34	2.8k 0.5×	2.0k 1.8×	684 0.8×	279 0.4×	146 0.3×	122	4.1k
Yūji Matsumoto Japan	37	6.3k 1.2×	932 0.8×	697 0.9×	224 0.3×	567 1.3×	357	7.2k

Countries citing papers authored by Yankai Lin

Since Specialization

Citations

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

Fields of papers citing papers by Yankai Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yankai Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yankai Lin. A scholar is included among the top collaborators of Yankai Lin 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 Yankai Lin. Yankai Lin 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

Yao, Wei, Wenkai Yang, Ziqiao Wang, Yankai Lin, & Yong Liu. (2025). Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL. 2860–2888.

Wei, Zhewei, Xin Chen, Yankai Lin, et al.. (2025). LLM-Based Multi-Agent Systems are Scalable Graph Generative Models. 1492–1523.

Feng, Xueyang, Zhiyuan Chen, Yujia Qin, et al.. (2024). Large Language Model-based Human-Agent Collaboration for Complex Task Solving. 1336–1357. 6 indexed citations

Wang, Lei, Chen Ma, Xueyang Feng, et al.. (2024). A survey on large language model based autonomous agents. Frontiers of Computer Science. 18(6). 430 indexed citations breakdown →

Zhang, Jingsen, Hao Yang, Jiakai Tang, et al.. (2024). User Behavior Simulation with Large Language Model-based Agents. ACM Transactions on Information Systems. 43(2). 1–37. 7 indexed citations

Qin, Yujia, Xiaozhi Wang, Yusheng Su, et al.. (2024). Exploring Universal Intrinsic Task Subspace for Few-Shot Learning via Prompt Tuning. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 3631–3643. 2 indexed citations

Zhang, An, Yang Deng, Yankai Lin, et al.. (2024). Large Language Model Powered Agents for Information Retrieval. 2989–2992. 4 indexed citations

Xiao, Chaojun, Zhengyan Zhang, Xu Han, et al.. (2023). Plug-and-Play Document Modules for Pre-trained Models. 15713–15729. 4 indexed citations

Zhang, Zhengyan, Yankai Lin, Zhiyuan Liu, et al.. (2022). MoEfication: Transformer Feed-forward Layers are Mixtures of Experts. Findings of the Association for Computational Linguistics: ACL 2022. 877–890. 24 indexed citations

10.

Ye, Deming, Yankai Lin, Peng Li, & Maosong Sun. (2022). Packed Levitated Marker for Entity and Relation Extraction. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 4904–4917. 67 indexed citations

11.

Su, Yusheng, Xiaozhi Wang, Yujia Qin, et al.. (2022). On Transferability of Prompt Tuning for Natural Language Processing. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 3949–3969. 37 indexed citations

12.

Yang, Wenkai, Yankai Lin, Peng Li, Jie Zhou, & Xu Sun. (2021). RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 8365–8381. 36 indexed citations

13.

Han, Xu, Tianyu Gao, Yankai Lin, et al.. (2020). More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. 745–758. 33 indexed citations

14.

Peng, Hao, Tianyu Gao, Xu Han, et al.. (2020). Learning from Context or Names? An Empirical Study on Neural Relation Extraction. 3661–3672. 113 indexed citations

15.

Han, Xu, Yi Dai, Tianyu Gao, et al.. (2020). Continual Relation Learning via Episodic Memory Activation and Reconsolidation. 6429–6440. 57 indexed citations

16.

Lin, Yankai, et al.. (2019). XQA: A Cross-lingual Open-domain Question Answering Dataset. 2358–2368. 33 indexed citations

17.

Lin, Yankai, Zhiyuan Liu, & Maosong Sun. (2017). Neural Relation Extraction with Multi-lingual Attention. 34–43. 73 indexed citations

18.

Lin, Yankai, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, & Maosong Sun. (2016). Neural Relation Extraction with Selective Attention over Instances. 2124–2133. 605 indexed citations breakdown →

19.

Chen, Huimin, Maosong Sun, Cunchao Tu, Yankai Lin, & Zhiyuan Liu. (2016). Neural Sentiment Classification with User and Product Attention. 1650–1659. 219 indexed citations

20.

Lin, Yankai, Zhiyuan Liu, Huanbo Luan, et al.. (2015). Modeling Relation Paths for Representation Learning of Knowledge Bases. 705–714. 348 indexed citations breakdown →

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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