Yukun Li

2.0k total citations · 2 hit papers
37 papers, 1.2k citations indexed

About

Yukun Li is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yukun Li has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 11 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yukun Li's work include Text and Document Classification Technologies (7 papers), Topic Modeling (5 papers) and Spam and Phishing Detection (4 papers). Yukun Li is often cited by papers focused on Text and Document Classification Technologies (7 papers), Topic Modeling (5 papers) and Spam and Phishing Detection (4 papers). Yukun Li collaborates with scholars based in China, Hong Kong and Canada. Yukun Li's co-authors include Min-Ling Zhang, Xin Geng, Xuying Liu, Hua Wu, Shuohuan Wang, Shikun Feng, Haifeng Wang, Hao Tian, Yu Sun and Wenyin Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics Letters A and IEEE Transactions on Cybernetics.

In The Last Decade

Yukun Li

35 papers receiving 1.1k citations

Hit 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.

ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding

2020 446 citations Yukun Li et al. profile →
Binary relevance for multi-label learning: an overview

2017 276 citations Min-Ling Zhang, Yukun Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yukun Li China	12	867	367	261	177	122	37	1.2k
Michael Witbrock United States	20	1.1k 1.2×	233 0.6×	548 2.1×	289 1.6×	124 1.0×	82	1.7k
Justin Zhan United States	19	669 0.8×	317 0.9×	179 0.7×	176 1.0×	167 1.4×	69	1.1k
Xingcheng Yao China	2	1.1k 1.3×	223 0.6×	322 1.2×	77 0.4×	60 0.5×	3	1.4k
Shlomo Geva Australia	16	661 0.8×	336 0.9×	212 0.8×	129 0.7×	80 0.7×	155	1.1k
Pengfei Liu China	23	2.0k 2.3×	236 0.6×	316 1.2×	132 0.7×	51 0.4×	80	2.3k
Lixin Han China	16	389 0.4×	308 0.8×	224 0.9×	122 0.7×	124 1.0×	74	890
Keith Hall United States	19	1.9k 2.2×	226 0.6×	289 1.1×	125 0.7×	133 1.1×	72	2.3k
Gansen Zhao China	19	439 0.5×	513 1.4×	152 0.6×	86 0.5×	303 2.5×	111	1.1k
Zhe Zhao China	13	1.0k 1.2×	140 0.4×	260 1.0×	78 0.4×	52 0.4×	51	1.3k

Countries citing papers authored by Yukun Li

Since Specialization

Citations

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

Fields of papers citing papers by Yukun Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukun Li

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

1.

Li, Yukun, et al.. (2024). Enhancing Speech Quality in Air Traffic Control Communication Using DIUnet_V-Based Speech Enhancement Techniques. IEICE Transactions on Information and Systems. E107.D(4). 551–558.

2.

Li, Yukun, et al.. (2024). Underwater image color restoration based on depth estimation. Physics Letters A. 527. 130001–130001. 2 indexed citations

3.

Li, Yukun, et al.. (2024). Propaganda with Subculture: A Resource for Internet Control in China. Journal of Chinese Political Science. 30(3). 449–473. 3 indexed citations

4.

Pan, Weijun, Peiyuan Jiang, Yukun Li, Zhuang Wang, & Junxiang Huang. (2023). Research on automatic pilot repetition generation method based on deep reinforcement learning. Frontiers in Neurorobotics. 17. 1285831–1285831. 4 indexed citations

5.

Pan, Weijun, et al.. (2023). Ernie-Gram BiGRU Attention: An Improved Multi-Intention Recognition Model for Air Traffic Control. Aerospace. 10(4). 349–349. 8 indexed citations

6.

Li, Yukun, et al.. (2023). Aux-ViT : Classification of Alzheimer's Disease from MRI based on Vision Transformer with Auxiliary Branch. 382–386. 11 indexed citations

7.

Li, Yukun. (2022). Anomaly Detection Model Based on One-class Support Vector Machine Fused Deep Auto-encoder. SHILAP Revista de lepidopterología. 1 indexed citations

8.

Li, Yukun, et al.. (2022). EfficientNet-YOLOv5: Improved YOLOv5 Based on EfficientNet Backbone for Object Detection on Marine Microalgae. 1–5. 3 indexed citations

9.

Wang, Yunlong, et al.. (2021). Multi-Scale Dynamic Convolution for Classification. 46. 142–146.

10.

Zhang, Min-Ling, et al.. (2020). Towards Class-Imbalance Aware Multi-Label Learning. IEEE Transactions on Cybernetics. 52(6). 4459–4471. 15 indexed citations

11.

Mondal, Debajyoti, Manishankar Mondal, Chanchal K. Roy, et al.. (2019). Towards Visualizing Large Scale Evolving Clones. 302–303. 4 indexed citations

12.

Li, Yukun, et al.. (2019). Culturally-Embedded Visual Literacy. Proceedings of the ACM on Human-Computer Interaction. 3(CSCW). 1–24. 13 indexed citations

13.

Zhang, Min-Ling, et al.. (2019). Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning. IEEE Transactions on Knowledge and Data Engineering. 1–1. 42 indexed citations

14.

Li, Yukun, et al.. (2018). A stacking model using URL and HTML features for phishing webpage detection. Future Generation Computer Systems. 94. 27–39. 151 indexed citations

15.

Xu, Chen, et al.. (2018). Detecting Phishing Websites and Targets Based on URLs and Webpage Links. 3669–3674. 21 indexed citations

16.

Li, Yukun, Min-Ling Zhang, & Xin Geng. (2015). Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-label Learning. 251–260. 70 indexed citations

17.

Zhao, Dexin, et al.. (2014). A Novel Terms Semantic Query Model Based on Wikipedia. 7. 258–261. 4 indexed citations

18.

Li, Yukun. (2013). Mapping Knowledge Domains of Chinese Medical Equipment Journal. Chinese Medical Equipment Journal. 1 indexed citations

19.

Lin, Lin, et al.. (2012). PRIS at 2012 TREC Medical Track: Query Expansion, Retrieval and Ranking. Text REtrieval Conference. 2 indexed citations

20.

Li, Yukun & Xiaofeng Meng. (2009). Exploring Personal CoreSpace for DataSpace Management. 168–175. 5 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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