Yining Li

2.9k citations
120 papers · 2.1k · 1 hit paper · h-index 22

Impact in

Papers in

Yining Li

104 papers receiving 2.1k citations

Yining Li's Hit Papers

Learning Deep Representation for Imbalanced Classification 2016 · 713 citations
7130+3+6Years since publication200400600

Peers

Yining Li
Comparison fields: 5 of 150
  • Electronic, Optical and Magnetic Materials 310
  • Computer Vision and Pattern Recognition 326
  • Artificial Intelligence 499
  • Electrical and Electronic Engineering 763
  • Automotive Engineering 143
Replace Jie Tan with:
Jie Tan China
Huaming Qian China
Duo Wang China
Zhiqiang Zeng China
Zheng Li China
Sungshin Kim South Korea
Ruonan Liu China
Jinhao Zhang China
Fang Liu China
Yining Li relative to Jie Tan China Jie Tan's profile →
Citations per field
00.5×2×2.6×
Jie Tan · 1×
Citations per year

Countries citing papers authored by Yining Li

Since Specialization
Citations

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

Fields of papers citing papers by Yining Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yining Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yining Li Line = papers co-authored together Yining Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning Deep Representation for Imbalanced Classification
Hit paper breakdown →
2016713
2 201697
3 201593
4 202471
5 202362
6 202357
7 202457
8 201757
9 202355
10 202443
11 202342
12 201842
13 202139
14 202438
15 202227
16 202127
17 202127
18 202325
19 202124
20 202124

About Yining Li

Yining Li is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Control and Systems Engineering, Electronic, Optical and Magnetic Materials and Mechanical Engineering, having authored 120 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advancements in Battery Materials (23 papers), Advanced Battery Materials and Technologies (20 papers), Supercapacitor Materials and Fabrication (8 papers), Advanced battery technologies research (5 papers), Electronic and Structural Properties of Oxides (5 papers), MXene and MAX Phase Materials (5 papers), Electromagnetic wave absorption materials (4 papers) and Mechanical Engineering and Vibrations Research (4 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (310 citations), Computer Vision and Pattern Recognition (326 citations), Artificial Intelligence (499 citations), Electrical and Electronic Engineering (763 citations) and Automotive Engineering (143 citations). Yining Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Chen Change Loy, Chen Huang, Xiaoou Tang, Haosen Fan, Shimei Wu, Yufei Zhang, Lingxing Zeng, Baoyi Yin, Tao Wei and Peilin Zhang. Their work appears in journals such as Journal of Materials Chemistry A, Journal of Colloid and Interface Science, Chinese Chemical Letters, Molecules and Journal of Food Engineering.

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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