Guolin Ke
Impact in
- Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
- Imbalanced Data Classification Techniques
- Machine Learning and Data Classification
- Topic Modeling
- Health Information Management top 0.5%
Papers in
-
- Machine Learning and Data Classification 5
- Topic Modeling 4
- Natural Language Processing Techniques 3
-
- Machine Learning in Materials Science 7
- Co-authors
- Tie‐Yan Liu (7 shared papers)Qi Meng (3 shared papers)Qiwei Ye (3 shared papers)Weidong Ma (2 shared papers)Thomas Finley (2 shared papers)Wei Chen (1 shared paper)Taifeng Wang (2 shared papers)Jiang Bian (2 shared papers)
- Journals
- Advanced Optical Materials (2 papers)Nature Communications (2 papers)Advanced Science (1 paper)Nano Letters (1 paper)Scientific Data (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Guolin Ke
25 papers receiving 8.7k citations
Guolin Ke's Hit Papers
Peers
Comparison fields: 5 of 219
- Artificial Intelligence 2.8k
- Health Information Management 209
- Environmental Engineering 655
- Signal Processing 510
- Computer Vision and Pattern Recognition 923
Countries citing papers authored by Guolin Ke
This map shows the geographic impact of Guolin Ke'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 Guolin Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guolin Ke more than expected).
Fields of papers citing papers by Guolin Ke
This network shows the impact of papers produced by Guolin Ke. 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 Guolin Ke. The network helps show where Guolin Ke may publish in the future.
Co-authors
The 25 scholars most cited alongside Guolin Ke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | LightGBM: A Highly Efficient Gradient Boosting Decision Tree Hit paper breakdown → | 2017 | 7037 |
| 2 | Deep Subdomain Adaptation Network for Image Classification Hit paper breakdown → | 2020 | 895 |
| 3 | Do Transformers Really Perform Badly for Graph Representation Hit paper breakdown → | 2021 | 264 |
| 4 | 2020 | 171 | |
| 5 | 2019 | 94 | |
| 6 | Rethinking Positional Encoding in Language Pre-training | 2021 | 84 |
| 7 | 2024 | 74 | |
| 8 | 2016 | 55 | |
| 9 | A Highly Efficient Gradient Boosting Decision Tree | 2017 | 46 |
| 10 | 2021 | 37 | |
| 11 | 2024 | 29 | |
| 12 | 2024 | 21 | |
| 13 | 2024 | 19 | |
| 14 | TabNN: A Universal Neural Network Solution for Tabular Data | 2018 | 14 |
| 15 | 2025 | 12 | |
| 16 | 2023 | 10 | |
| 17 | Taking Notes on the Fly Helps Language Pre-Training | 2021 | 9 |
| 18 | 2024 | 8 | |
| 19 | 2024 | 3 | |
| 20 | 2025 | 2 |
About Guolin Ke
Guolin Ke is a scholar working on Artificial Intelligence, Materials Chemistry, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Molecular Biology, having authored 25 papers that have together received 8.9k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (7 papers), Machine Learning and Data Classification (5 papers), Computational Drug Discovery Methods (4 papers), Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers), Advanced Neural Network Applications (3 papers), Advanced Electron Microscopy Techniques and Applications (2 papers) and Electron and X-Ray Spectroscopy Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (2.8k citations), Health Information Management (209 citations), Environmental Engineering (655 citations), Signal Processing (510 citations) and Computer Vision and Pattern Recognition (923 citations). Guolin Ke has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tie‐Yan Liu, Qi Meng, Qiwei Ye, Weidong Ma, Thomas Finley, Wei Chen, Taifeng Wang, Jiang Bian, Fuzhen Zhuang and Jindong Wang. Their work appears in journals such as Advanced Optical Materials, Nature Communications, Advanced Science, Nano Letters and Scientific Data.
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.