Yining Li

2.9k citations
124 papers · 2.3k · 1 hit paper · h-index 22

Impact in

Papers in

Yining Li

109 papers receiving 2.3k citations

Yining Li's Hit Papers

Learning Deep Representation for Imbalanced Classification 2016 · 773 citations
7730+3+6Years since publication250500750

Peers

Yining Li
Comparison fields: 5 of 118
  • Computer Vision and Pattern Recognition 368
  • Artificial Intelligence 441
  • Electrical and Electronic Engineering 651
  • Electronic, Optical and Magnetic Materials 143
  • Pollution 68
Replace Sungshin Kim with:
Sungshin Kim South Korea
Xin Wang China
Lei Wang China
Abhishek Sharma India
Peng “Patrick” Sun China
Liqiang Liu China
Yufei Zhang China
Shuting Wang China
Pengjun Wang China
Fang Liu China
Yining Li relative to Sungshin Kim South Korea Sungshin Kim's profile →
Citations per field
00.5×2×4×5.7×
Sungshin Kim · 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 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning Deep Representation for Imbalanced Classification
Hit paper breakdown →
2016773
2 2016101
3 201596
4 202478
5 202363
6 202359
7 201758
8 202457
9 202356
10 202346
11 202446
12 202142
13 201841
14 202440
15 202333
16 202130
17 202230
18 202129
19 202127
20 202124

About Yining Li

Yining Li is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Control and Systems Engineering, Electronic, Optical and Magnetic Materials and Automotive Engineering, having authored 124 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advancements in Battery Materials (22 papers), Vehicle Dynamics and Control Systems (5 papers), Electrocatalysts for Energy Conversion (4 papers), Advancements in Solid Oxide Fuel Cells (4 papers), Electromagnetic wave absorption materials (4 papers), CO2 Reduction Techniques and Catalysts (3 papers), Solar-Powered Water Purification Methods (3 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (368 citations), Artificial Intelligence (441 citations), Electrical and Electronic Engineering (651 citations), Electronic, Optical and Magnetic Materials (143 citations) and Pollution (68 citations). Yining Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Chen Huang, Chen Change Loy, Xiaoou Tang, Haosen Fan, Shimei Wu, Yufei Zhang, Lingxing Zeng, Peilin Zhang, Liang Wang and Tao Wei. Their work appears in journals such as Journal of Materials Chemistry A, Journal of Colloid and Interface Science, Molecules, Chinese Chemical Letters and Scientific Reports.

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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