Guolin Ke
Impact in
- Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
- Imbalanced Data Classification Techniques
- Topic Modeling
- Machine Learning and Data Classification
- 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 6
- Co-authors
- Tie‐Yan Liu (6 shared papers)Qi Meng (3 shared papers)Qiwei Ye (3 shared papers)Weidong Ma (2 shared papers)Wei Chen (1 shared paper)Taifeng Wang (2 shared papers)Thomas Finley (2 shared papers)Jiang Bian (1 shared paper)
- Journals
- Nature Communications (2 papers)Advanced Optical Materials (2 papers)Advanced Science (1 paper)Nano Letters (1 paper)National Science Review (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Guolin Ke
23 papers receiving 8.1k citations
Guolin Ke's Hit Papers
Peers
Comparison fields: 5 of 218
- Artificial Intelligence 2.5k
- Health Information Management 198
- Environmental Engineering 643
- Signal Processing 451
- Computer Vision and Pattern Recognition 718
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 23 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 | 6640 |
| 2 | Deep Subdomain Adaptation Network for Image Classification Hit paper breakdown → | 2020 | 882 |
| 3 | Do Transformers Really Perform Badly for Graph Representation Hit paper breakdown → | 2021 | 259 |
| 4 | 2019 | 91 | |
| 5 | Rethinking Positional Encoding in Language Pre-training | 2021 | 83 |
| 6 | 2024 | 74 | |
| 7 | 2016 | 52 | |
| 8 | A Highly Efficient Gradient Boosting Decision Tree | 2017 | 46 |
| 9 | 2021 | 35 | |
| 10 | 2024 | 28 | |
| 11 | 2024 | 21 | |
| 12 | 2024 | 19 | |
| 13 | TabNN: A Universal Neural Network Solution for Tabular Data | 2018 | 13 |
| 14 | 2025 | 12 | |
| 15 | 2023 | 10 | |
| 16 | Taking Notes on the Fly Helps Language Pre-Training | 2021 | 9 |
| 17 | 2024 | 8 | |
| 18 | 2024 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2020 | 2 |
About Guolin Ke
Guolin Ke is a scholar working on Artificial Intelligence, Materials Chemistry, Computer Vision and Pattern Recognition, Molecular Biology and Computational Theory and Mathematics, having authored 23 papers that have together received 8.3k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), Machine Learning and Data Classification (5 papers), Topic Modeling (4 papers), Computational Drug Discovery Methods (3 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 (2.5k citations), Health Information Management (198 citations), Environmental Engineering (643 citations), Signal Processing (451 citations) and Computer Vision and Pattern Recognition (718 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, Wei Chen, Taifeng Wang, Thomas Finley, Jiang Bian, Hui Xiong and Qing He. Their work appears in journals such as Nature Communications, Advanced Optical Materials, Advanced Science, Nano Letters and National Science Review.
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.