Ke Lin

3.3k citations
98 papers · 2.6k · 2 hit papers · h-index 25

Impact in

Papers in

Ke Lin

88 papers receiving 2.6k citations

Ke Lin's Hit Papers

EDMF: Efficient Deep Matrix Factorization With Review Feature Learning for Industrial Recommender System 2021 · 193 citations
1930+1+3Years since publication50100150200

Peers

Ke Lin
Comparison fields: 5 of 147
  • Inorganic Chemistry 467
  • Industrial and Manufacturing Engineering 215
  • Environmental Engineering 312
  • Computational Mechanics 403
  • Control and Systems Engineering 369
Replace Lei Chen with:
Lei Chen China
Zhenyue Zhang China
Mahmoud M. Selim Saudi Arabia
Jiajun Wang China
K. V. Rao India
Hao Zheng China
Chandima Gomes Malaysia
Baoqing Li China
Songtao Liu China
Guoning Chen United States
Ke Lin relative to Lei Chen China Lei Chen's profile →
Citations per field
00.5×1.5×
Lei Chen · 1×
Citations per year

Countries citing papers authored by Ke Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ke Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ke Lin, 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 Ke Lin Line = papers co-authored together Ke Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MFDNet: Collaborative Poses Perception and Matrix Fisher Distribution for Head Pose Estimation
Hit paper breakdown →
2021204
2 2019195
3
EDMF: Efficient Deep Matrix Factorization With Review Feature Learning for Industrial Recommender System
Hit paper breakdown →
2021193
4 2020158
5 2006146
6 2022123
7 2021117
8 200597
9 202193
10 202286
11 202085
12 202173
13 202172
14 202072
15 201866
16 202056
17 202149
18 202248
19 201847
20 197143

About Ke Lin

Ke Lin is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 98 papers that have together received 2.6k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (11 papers), Radioactive element chemistry and processing (9 papers), Semiconductor Lasers and Optical Devices (7 papers), Vibration and Dynamic Analysis (7 papers), Fluid Dynamics and Vibration Analysis (7 papers), Wind and Air Flow Studies (6 papers), Photonic and Optical Devices (6 papers) and Geochemistry and Elemental Analysis (5 papers). The work is most often cited by research in Inorganic Chemistry (467 citations), Industrial and Manufacturing Engineering (215 citations), Environmental Engineering (312 citations), Computational Mechanics (403 citations) and Control and Systems Engineering (369 citations). Ke Lin has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jiasong Wang, Zhaoli Zhang, Chengliang Liu, Jiazhang Wang, Dixia Fan, Yixiang Huang, Duantengchuan Li, Yihui Yuan, Ning Wang and Liang Gong. Their work appears in journals such as IEEE Transactions on Intelligent Vehicles, Information Sciences, Knowledge-Based Systems, Physics of Fluids and Agronomy.

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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