Standout Papers
- A general-purpose machine learning framework for predicting properties of inorganic materials (2016)
- Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science (2016)
- Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection (2017)
- Recent advances and applications of deep learning methods in materials science (2022)
- Combinatorial screening for new materials in unconstrained composition space with machine learning (2014)
- ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition (2018)
Immediate Impact
2 by Nobel laureates 30 from Science/Nature 110 standout
Citing Papers
From geroscience to precision geromedicine: Understanding and managing aging
2025 Standout
Machine Learning in Polymer Research
2025 Standout
Works of Ankit Agrawal being referenced
A general-purpose machine learning framework for predicting properties of inorganic materials
2016 Standout
Combinatorial screening for new materials in unconstrained composition space with machine learning
2014 Standout
Author Peers
| Author | Last Decade | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|
| Ankit Agrawal | 4254 | 547 | 259 | 1565 | 962 | 124 | 7.2k | |
| Alok Choudhary | 3851 | 688 | 179 | 1527 | 937 | 195 | 8.1k | |
| Cristina H. Amon | 2580 | 171 | 60 | 1461 | 274 | 225 | 7.0k | |
| Asok Ray | 1890 | 967 | 141 | 737 | 519 | 494 | 7.4k | |
| Nam Ho Kim | 743 | 186 | 31 | 1333 | 677 | 216 | 4.8k | |
| Wei Chen | 1027 | 507 | 87 | 1555 | 3140 | 224 | 8.6k | |
| Panagiotis D. Christofides | 1941 | 599 | 725 | 1253 | 930 | 416 | 14.8k | |
| Turab Lookman | 9171 | 381 | 458 | 2771 | 885 | 347 | 12.6k | |
| M. Sam Mannan | 1903 | 129 | 157 | 643 | 300 | 356 | 8.9k | |
| Ashish Ghosh | 958 | 1256 | 307 | 547 | 408 | 305 | 6.7k | |
| Yaguang Wang | 1600 | 71 | 32 | 834 | 465 | 190 | 4.8k |
All Works
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