Yujia Li

8.1k total citations · 1 hit paper
86 papers, 1.8k citations indexed

About

Yujia Li is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yujia Li has authored 86 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 21 papers in Artificial Intelligence and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yujia Li's work include Advanced Graph Neural Networks (7 papers), Topic Modeling (6 papers) and RNA modifications and cancer (5 papers). Yujia Li is often cited by papers focused on Advanced Graph Neural Networks (7 papers), Topic Modeling (6 papers) and RNA modifications and cancer (5 papers). Yujia Li collaborates with scholars based in China, United States and Canada. Yujia Li's co-authors include Richard S. Zemel, Raquel Urtasun, Wenjie Luo, Jiangjuan Shao, Min Shen, Zili Zhang, Yingqian Wang, Anping Chen, Guo-Ping Yin and Shizhong Zheng and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Yujia Li

67 papers receiving 1.7k citations

Hit Papers

Understanding the Effective Receptive Field in Deep Convo... 2017 2026 2020 2023 2017 100 200 300 400

Peers

Yujia Li
Comparison fields: 5 of 168
  • Artificial Intelligence 497
  • Molecular Biology 475
  • Computer Vision and Pattern Recognition 442
  • Cancer Research 189
  • Plant Science 142
Replace Nizamettin Aydın with:
Nizamettin Aydın Türkiye
Hamid Alinejad‐Rokny Australia
Jianjun Qian China
Saurav Mallik India
Shujun Huang China
Andrew Delong Canada
Ali Madani United States
Malik Yousef Israel
David Bednarski United States
Jing Xu China
Nizamettin Aydın Türkiye View profile →
Citations per field, relative to Yujia Li
Yujia Li · 1×
Citations per year, relative to Yujia Li
Yujia Li · 1×

Countries citing papers authored by Yujia Li

Since Specialization
Citations

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

Fields of papers citing papers by Yujia Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujia Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yujia Li. A scholar is included among the top collaborators of Yujia 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 Yujia Li. Yujia Li 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
# Work Indexed citations
1 2
2 1
3 0
4 1
5 1
6 3
7 0
8 3
9 7
10 1
11 31
12 43
13 45
14 5
15
Text Recognition using local correlation.
1
16
REGAL: Transfer Learning For Fast Optimization of Computation Graphs.
5
17
Screening and identification of peach endophytic bacteria with antagonism against Agrobacterium tumefaciens.
6
18
Imagination-Augmented Agents for Deep Reinforcement Learning
49
19
High Order Regularization for Semi-Supervised Learning of Structured Output Problems
12
20
Celebrity recommendation with collaborative social topic regression
15

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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