Standout Papers

Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems 2024 202643
  1. Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems (2024)
    Licheng Liu, Wang Zhou et al. Nature Communications

Immediate Impact

12 standout
Sub-graph 1 of 5

Citing Papers

A landscape-scale view of soil organic matter dynamics
2025 Standout
A review of soil waterlogging impacts, mechanisms, and adaptive strategies
2025 Standout
2 intermediate papers

Works of J. L. Till being referenced

Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems
2024 Standout
A luminescence‐based chronology for the Harletz loess sequence, Bulgaria
2018
and 1 more

Author Peers

Author Last Decade Papers Cites
J. L. Till 204 244 128 26 459
K. Deenadayalan 157 104 234 33 460
K. Nakamura 89 229 113 19 500
Wonnyon Kim 276 99 273 38 507
Yael Ebert 174 149 216 20 464
Simone Arrighi 151 384 317 19 560
D. K. Nourgaliev 249 105 345 22 440
Myriam A.C. Kars 262 214 231 34 506
Chunqing Sun 37 255 263 30 449
Chiara Caricchi 86 266 148 29 426
Natsumi Hokanishi 49 297 188 26 516

All Works

Loading papers...

Rankless by CCL
2026