Standout Papers

Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures 2018 2026 2020 2023 724
  1. Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures (2018)
    Dianjing Liu, Yixuan Tan et al. ACS Photonics

Immediate Impact

8 from Science/Nature 64 standout
Sub-graph 1 of 21

Citing Papers

Advances in conducting nanocomposite hydrogels for wearable biomonitoring
2025 Standout
A guidance to intelligent metamaterials and metamaterials intelligence
2025 Standout
1 intermediate paper

Works of Yixuan Tan being referenced

Design and synthesis of highly fluorescent and stable fullerene nanoparticles as probes for folic acid detection and targeted cancer cell imaging
2021
Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures
2018 Standout

Author Peers

Author Last Decade Papers Cites
Yixuan Tan 277 378 246 318 19 876
Erfan Khoram 307 532 245 374 13 1.0k
Dianjing Liu 345 521 277 439 12 1.1k
Jiaqi Jiang 338 378 280 425 30 984
Jing Li 211 289 193 244 12 836
L. P. Zhou 190 397 190 428 31 995
Clayton Fowler 218 387 247 695 22 983
Andrea Cordaro 369 388 284 470 20 848
Sandeep Inampudi 317 241 350 550 28 846
Logan Su 468 611 321 413 23 1.0k
Lin Deng 320 338 178 517 36 883

All Works

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2026