About

Jiaxin Jin is an applied mathematician and an Zassenhaus Assistant Professor in the Department of Mathematics at The Ohio State University. His contact information includes an office at 231 W. 18th Ave., Columbus, OH, and a phone number of 614-292-4901. His research focus is in applied mathematics, and he is involved in the department's academic and research activities. Further details about his specific research contributions or background are not provided on the page.

Research topics

• Environmental science
• Physical geography
• Atmospheric sciences
• Geography
• Climatology

Selected publications

• [Correlation between cardiovascular health score based on eight life factors and prognosis of ischemic stroke and mediating effect of clinical test indicators: a multicenter prospective cohort study].

  PubMed · 2026-02-20

  articleOpen access

  OBJECTIVES: To investigate the association between cardiovascular health scores (CVH) based on Life's Essential 8 (LE8) and 90-day functional prognosis of patients with acute ischemic stroke (AIS) and explore the mediating role of laboratory indicators to provide evidence for secondary stroke prevention. METHODS: This multicenter, prospective cohort study was conducted among 599 AIS patients within 72 h of onset. The clinical data of the patients were collected, and the cardiovascular health (CVH) scores were calculated according to LE8 criteria. Functional prognosis of the patients at 90 days were assessed by telephone follow-up using the modified Rankin scale score (mRS), whose correlation with the total LE8 score and each individual item score were analyzed using multiple linear regression. Lasso regression analysis was used to select laboratory markers associated with 90-day mRS, and their mediating role in the LE8-outcome relationship were assessed using the Bootstrap method. RESULTS: : 0.00869‒0.08). CONCLUSIONS: The CVH scores assessed by LE8 are inversely correlated with 90-day functional prognosis of AIS patients, suggesting the importance of maintaining good CVH for improving stroke outcomes. FIB, MCHC and HRR levels are inversely correlated with the patient prognosis, and FIB partially mediates the impact of LE8 scores on stroke outcomes.

  PublisherOA PDFDOI

• Mapping rice paddy and cropping intensity by integrating phenology, machine learning, and multi-source satellite images in East and Southeast Asia

  International Journal of Digital Earth · 2026-01-18

  articleOpen access1st author

  Accurate maps of rice paddy and cropping intensity at the high spatial resolution are crucial for rice production estimates and food security, yet are inadequate for the entire East and Southeast Asia. Here, we proposed a novel algorithm to map rice paddies and cropping intensity, integrating phenology and machine learning approaches with multi-source remote sensing data. Specifically, by generating random training samples via a buffer approach within X-Means clustering of Sentinel-2 time series, we identified rice paddies and cropping intensity using flooding-transplanting and tillering-heading signals. Multiple Random Forest classifiers were then combined to produce 10-m resolution rice paddy and cropping intensity maps for East and Southeast Asia in 2023. Our rice paddy and cropping intensity maps achieved an overall accuracy of 95% and 91%, respectively, based on 102,075 validation samples collected through field surveys, visual interpretation, and multi-source rice datasets. The mapped rice paddy areas exhibited significant linear correlations with official statistics, with correlation coefficients (r) of 0.95 at both national and provincial scales. Compared to existing rice paddy maps, our method yields superior reliability and accuracy in large-scale rice paddy extraction, effectively reducing commission errors associated with dense, small water bodies.

  PublisherDOI

• Region-specific assessment of flood disaster risk and contributing factors, based on historical data and machine learning

  Natural Hazards · 2026-01-01

  article
  PublisherDOI

• Streptomyces aurantiaciflavus sp. nov., a novel actinomycete isolated from rhizosphere soil with antifungal activity and plant growth-promoting ability

  The Journal of Antibiotics · 2026-02-04

  article1st author
  PublisherDOI

• Enhancing broad-scale prediction of flowering onset by incorporating spatial heterogeneity in heat accumulation threshold

  Journal of Forestry Research · 2026-02-06

  article1st authorCorresponding
  PublisherDOI

• A POI-constrained multi-source online geocoding optimization method

  International Journal of Digital Earth · 2025-11-11 · 1 citations

  articleOpen accessSenior author

  Given the lack of publicly available official geocoding resources in many countries, online geocoding services are often the only option for non-specialist users to conduct spatial analyses. However, their results often exhibit highly variable positional accuracy, with frequent occurrences of large errors. This is predominantly because of their limited and outdated reference dataset, and the uniform address-matching methods employed by individual platforms. To address these issues, we propose a geocoding optimization method (GOM) that leverages multiple online geocoding platforms and updated Points of Interest (POI) data to generate POI-constrained geocoding outputs. This approach enables more accurate results by reducing the dependence on a single platform or using limited reference datasets. Using 1769 address records from the Gulou District, Nanjing, we demonstrated that the GOM outperforms all major online geocoding platforms in reducing mean positional errors and the frequency of large errors. This method improves geocoding accuracy, reduces spatial distortions and minimizes their impact on spatial statistical results and analytical outcomes, and offers a practical solution for users who require high-precision geocoded data for research and decision making.

  PublisherDOI

• Development of tungsten-steel functionally graded coating for fusion reactors first walls using spray granulation and detonation spraying

  Surface and Coatings Technology · 2025-10-15

  article
  PublisherDOI

• Quantifying the Impact of Vegetation Changes on Runoff in Alpine Basins Using the Budyko Framework Integrating Glacier Effect

  SSRN Electronic Journal · 2025-01-01

  preprintOpen access
  PublisherDOI

• Preparation and characterization of Ni-based anode by plasma spraying and YSZ electrolyte by detonation spraying for SOFC

  Ceramics International · 2025-11-26

  article
  PublisherDOI

• Control System for Optoelectronic Complementary Intelligent Greenhouse

  2025-05-23

  article

  In order to achieve intelligent monitoring and efficient control management of agricultural greenhouses, this paper designs a photoelectric complementary intelligent greenhouse control system based on STM32 microcontroller. This system integrates multiple sensors to monitor crop growth environment data such as temperature, humidity, light, soil moisture and CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> concentration. inside the greenhouse. At the same time, by connecting the Wi-Fi module to the mobile app, users can remotely monitor various environmental parameters inside the greenhouse and take remote visualization operations to maintain the crop growth environment in the most suitable range. The monitor can provide real-time feedback on the environmental status inside the greenhouse. When the environmental parameters are not within the range set by the system, an audible and visual alarm will be triggered. Through the control system, functions such as ventilation, irrigation, supplementary lighting, shading, humidification, dehumidification, heating and cooling can be achieved in the greenhouse. This design also adopts a diversified and effective supply of energy through photovoltaic complementarity. This system can provide the most suitable growth environment for crops and efficiently achieve intelligent control and management of greenhouses.

  PublisherDOI

Frequent coauthors

• Hong Jiang

  Hangzhou Dianzi University

  41 shared

• Bin Yong

  Hohai University

  26 shared

• Xiuying Zhang

  National University of Singapore

  23 shared

• Ying Wang

  Sun Yat-sen University

  22 shared

• Fengsheng Guo

  22 shared

• Hong Jiang

  Fuzhou University

  14 shared

• Gheorghe Crăciun

  14 shared

• Xuehe Lu

  Suzhou University of Science and Technology

  13 shared

Education

• Ph.D, International Institute for Earth System Science

  Nanjing University

  2014

Awards & honors

• Graduate Teaching Awards