Chengyi Li

ORCID: 0000-0003-2380-555X
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Soil Carbon and Nitrogen Dynamics
  • Microbial Community Ecology and Physiology
  • Radiation Detection and Scintillator Technologies
  • Peatlands and Wetlands Ecology
  • Medical Imaging Techniques and Applications
  • Plant Ecology and Soil Science
  • Geology and Paleoclimatology Research
  • Ecology and Vegetation Dynamics Studies
  • Medical Image Segmentation Techniques
  • Atomic and Subatomic Physics Research
  • Land Use and Ecosystem Services
  • Advanced Image Fusion Techniques
  • Brain Tumor Detection and Classification
  • Energy Efficient Wireless Sensor Networks
  • Image and Signal Denoising Methods
  • Functional Brain Connectivity Studies
  • Mycorrhizal Fungi and Plant Interactions
  • Remote-Sensing Image Classification
  • Generative Adversarial Networks and Image Synthesis
  • Cerebrovascular and Carotid Artery Diseases
  • Reading and Literacy Development
  • Coastal wetland ecosystem dynamics
  • Plant Water Relations and Carbon Dynamics
  • Mobile Ad Hoc Networks
  • Agriculture, Soil, Plant Science

Institute of Automation
2023-2025

Qinghai University
2022-2025

Chinese Academy of Sciences
2021-2024

Beijing Academy of Artificial Intelligence
2023-2024

University of Chinese Academy of Sciences
2022-2024

Shanghai Institute of Ceramics
2024

Center for Excellence in Brain Science and Intelligence Technology
2024

State Key Laboratory of Plateau Ecology and Agriculture
2023-2024

Jilin University of Chemical Technology
2024

Tsinghua–Berkeley Shenzhen Institute
2024

It is important to have a deep understanding of microbial diversity–multifunctionality relationships. Studies on α diversity microorganisms been reported extensively, but the different species at β scale still unclear. In this study, we selected bare patches (BP), vegetated (VP) and healthy alpine meadows (AM) degradation severity in restoration succession stages investigate (bacteria fungi), soil multifunctionality (i.e. plant aboveground biomass, belowground organic carbon, total nitrogen,...

10.1016/j.ecolind.2023.110122 article EN cc-by-nc-nd Ecological Indicators 2023-03-14

Individual brains vary greatly in morphology, connectivity and organization. Individualized brain parcellation is capable of precisely localizing subject-specific functional regions. However, most individualization approaches have examined single modalities data not generalized to nonhuman primates. The present study proposed a novel multimodal connectivity-based individual (MCIP) method, which optimizes within-region homogeneity, spatial continuity similarity reference atlas with the fusion...

10.1109/tmi.2024.3392946 article EN IEEE Transactions on Medical Imaging 2024-04-24

The alpine meadow is susceptible to degradation triggered by overgrazing and rodent outbreaks, leading uneven patches of degradation. In this regard, we conducted a study that involved the implementation nine combined treatments utilizing two-factor randomized block design. were established based on three levels plateau pika densities simulated grazing intensity (mowing), replicated times, resulting in 27 test plots. Hyperspectral images used map healthy (HM), long-term vegetated patch...

10.1016/j.ecolind.2023.110565 article EN cc-by-nc-nd Ecological Indicators 2023-07-01

Cerium-doped yttrium oxyorthosilicate (YSO:Ce) scintillation crystals are widely used in mixed radiation field detection, radioactive isotope monitoring, and other fields due to their excellent properties low cost. However, the poor coincidence time resolution severely limits further promotion. In order resolve this problem, work first designed conducted research on Ni2+-codoped YSO:Ce crystals, a series of YSO:Ce,xNi (x = 0, 0.3, 0.6, 1.5 atom %) were grown using Czochralski method. It is...

10.1021/acs.cgd.4c00799 article EN Crystal Growth & Design 2024-08-23

Understanding the impact of deep groundwater depth on vegetation communities and soil in sand dunes with different underground water tables is essential for ecological restoration conservation groundwater. Furthermore, this understanding critical determining threshold value that ensures survival vegetation.This paper was conducted a semi-arid region eastern China, effects (6.25 m, 10.61 15.26 m) properties (0-200 cm) across three dune types (mobile, semi-fixed, fixed dunes) were evaluated...

10.3389/fpls.2023.1186406 article EN cc-by Frontiers in Plant Science 2023-06-29

Autotrophic carbon-fixing bacteria are a major driver of carbon sequestration and elemental cycling in grassland ecosystems. The characteristics the response bacterial communities to nitrogen (N) addition degraded alpine meadows unclear. In this study, it was investigated that effects N three levels [they low (LN), middle (MN), high (HN) with supplement 2, 5, 10 g N⋅m –2 ⋅a –1 , respectively] on soil different slopes meadow Yellow River Qinghai–Tibet Plateau. results showed there were...

10.3389/fpls.2022.921278 article EN cc-by Frontiers in Plant Science 2022-06-24

Identifying the relative contributions of climate change and human activities to alpine grassland dynamics is critical for understanding degradation mechanisms. In this study, first, actual NPP (NPPa) was obtained by MOD17A3. Second, we used Zhou Guangsheng model simulate potential met net primary productivity (NPPp). Finally, generated anthropogenic (NPPh) estimated calculating difference between NPPp NPPa. Then, changes in grasslands were quantitatively assessed analyzing trends Thereby,...

10.3390/su14148790 article EN Sustainability 2022-07-18

Severe degradation of alpine meadow in the Source Zone Yellow River (SZYR) seriously affects stability and sustainability local grassland ecosystem. Although some progress has been made understanding process, mechanism restoration, existing restoration technologies do not target at topographic hydrothermal conditions, resulting instability poor restored This study quantified effects severity (non-degraded patch (NP), vegetated (VP), bare (BP)) on soil physical, chemical properties microbial...

10.1016/j.ecolind.2022.109531 article EN cc-by-nc-nd Ecological Indicators 2022-10-06

Gd3(Al,Ga)5O12:Ce (GAGG:Ce) crystal is considered as one of the most efficient scintillators for nuclear medicine imaging devices and γ detection applications due to its high light yield (58,000 ph./MeV), excellent energy resolution (4.9%@662 keV), density (6.63 g/cm3). With introduction time-of-flight techniques, are required have a faster scintillation decay time higher yield. An strategy accelerating process GAGG:Ce mainly through codoping low valence ions such Ca2+. However, mechanism...

10.1021/acs.cgd.4c00106 article EN Crystal Growth & Design 2024-03-22

In the actual working environment, most equipment models present nonlinear characteristics. For system filtering, filtering methods such as Extended Kalman Filter (EKF), Unscented (UKF), and Cubature (CKF) have been developed successively, all of which show good results. However, in process performance EKF decreases with an increase truncation error even diverges. With improvement dimension, sampling points UKF are relatively few unrepresentative. this paper, a novel high-order extended...

10.3390/act13050169 article EN cc-by Actuators 2024-05-01

Soil bacteria play a crucial role in the terrestrial nitrogen (N) cycle by fixing atmospheric N2, and this process is influenced both biotic abiotic factors. The diversity of N2-fixing (NFB) directly reflects efficiency soil N fixation, NFB degraded alpine meadow may change with different fertilizing levels varied slopes. However, how addition affects meadows, whether influence varies slope, remain poorly understood.We conducted an field experiment at three (2, 5, 10 g N·m-2·a-1) to study...

10.3389/fmicb.2023.1240634 article EN cc-by Frontiers in Microbiology 2023-09-15

The accurate identification of different restoration stages degraded alpine meadow patches is essential to effectively curb the deterioration trend ‘Heitutan’ (areas severely meadows in western China). In this study, hyperspectral imaging (HSI) and machine learning techniques were used develop a method for accurately distinguishing patches. First, images representing four collected, spectral reflectance, vegetation indexes (VIs), color features (CFs), texture (TFs) extracted. Secondly, valid...

10.3390/agriculture14071097 article EN cc-by Agriculture 2024-07-09
Coming Soon ...