Zeming Lin
- Artificial Intelligence top 0.5%
- Artificial Intelligence in Games 6
- Reinforcement Learning in Robotics 3
- Computational Theory and Mathematics top 0.5%
- Media Technology top 1%
- Molecular Biology top 2%
- Machine Learning in Bioinformatics 3
- Protein Structure and Dynamics 2
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- Plant Molecular Biology Research 6
- Plant nutrient uptake and metabolism 5
- Plant Stress Responses and Tolerance 2
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- Digital Games and Media 4
- Co-authors
- Soumith ChintalaZachary DeVitoSam GrossAlban DesmaisonLuca AntigaAdam PaszkeAdam LererEdward Z. Yang
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputational Theory and Mathematics
- Journals
- Plant Cell & Environment (2 papers)International Journal of Biological Macromolecules (1 paper)Industrial Crops and Products (1 paper)
- Partner nations
- ChinaIsraelUnited States
In The Last Decade
Zeming Lin
19 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Computer Vision and Pattern Recognition 2.9k
- Artificial Intelligence 2.6k
- Computational Theory and Mathematics 750
- Media Technology 401
- Molecular Biology 3.1k
Countries citing papers authored by Zeming Lin
This map shows the geographic impact of Zeming 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 Zeming Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeming Lin more than expected).
Fields of papers citing papers by Zeming Lin
This network shows the impact of papers produced by Zeming 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 Zeming Lin. The network helps show where Zeming Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zeming Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 14 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 6 | |
| 9 | Evolutionary-scale prediction of atomic-level protein structure with a language modelbreakdown → | 2023 | 1968 |
| 10 | Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequencesbreakdown → | 2021 | 1429 |
| 11 | 2021 | 3 | |
| 12 | Intrinsic motivation and automatic curricula via asymmetric self-play | 2018 | 27 |
| 13 | Value Propagation Networks. | 2018 | 6 |
| 14 | 2018 | 6 | |
| 15 | 2017 | 6 | |
| 16 | DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples | 2017 | 4 |
| 17 | Episodic Exploration for Deep Deterministic Policies for StarCraft Micromanagement | 2017 | 5 |
| 18 | Automatic differentiation in PyTorchbreakdown → | 2017 | 5707 |
| 19 | 2016 | 28 |
About Zeming Lin
Zeming Lin is a scholar working on Horticulture, Artificial Intelligence, Plant Science, Signal Processing and Sociology and Political Science, having authored 19 papers that have together received 9.2k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (6 papers), Plant Molecular Biology Research (6 papers), Plant nutrient uptake and metabolism (5 papers), Digital Games and Media (4 papers), Machine Learning in Bioinformatics (3 papers), Reinforcement Learning in Robotics (3 papers), Protein Structure and Dynamics (2 papers) and Plant Stress Responses and Tolerance (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.9k citations), Artificial Intelligence (2.6k citations), Computational Theory and Mathematics (750 citations), Media Technology (401 citations) and Molecular Biology (3.1k citations). Zeming Lin has collaborated with scholars based in China, Israel and United States. Frequent co-authors include Soumith Chintala, Zachary DeVito, Sam Gross, Alban Desmaison, Luca Antiga, Adam Paszke, Adam Lerer, Edward Z. Yang, Alexander Rives and Tom Sercu. Their work appears in journals such as Plant Cell & Environment, International Journal of Biological Macromolecules, Industrial Crops and Products, New Phytologist and Science.
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.