About

Jingwen Hu is a Research Professor in the Department of Mechanical Engineering at the University of Michigan, with an affiliation at UMTRI. He holds a Ph.D. in Biomedical Engineering from Wayne State University obtained in 2007, a Master of Science in Automotive Engineering from Tsinghua University earned in 2003, and a Bachelor of Science in Automotive Engineering from Tsinghua University completed in 2000. His research interests encompass impact and injury biomechanics, including parametric human modeling, statistical injury data analysis, and testing involving cadavers, volunteers, and dummies for occupant protection. He focuses on safety equity among diverse populations, restraint design optimization, rear seat occupant safety, oblique impacts, adaptive restraint systems, and the integration of active and passive safety features. Additionally, his work extends to areas such as pediatric fall and child abuse, seat comfort, and computer-aided surgery.

Research topics

• Medicine
• Computer science
• Engineering
• Structural engineering
• Automotive engineering

Selected publications

• Impact of macroalgae farming on the carbonate system and biogenic sulfur dynamics in Sansha Bay, China

  Marine Pollution Bulletin · 2026-02-16

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• Carbon Sequestration and Pollution Reduction Mechanisms of <i>Chlorella</i> sp. for Simulated Flue Gas

  Environmental Science & Technology · 2026-01-29

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  Nitric oxide (NO), a signaling molecule and free radical, regulates microalgal photosynthesis, yet its potential in enhancing carbon fixation alongside pollutant mitigation remains underexplored. This study investigated the effects of NO (0, 50, 100 ppm) in simulated flue gas (15% CO2) on Chlorella sp., examining intracellular/extracellular NO dynamics, antioxidant response, key enzyme activity (nitrate reductase), and growth-photosynthesis coupling. Under optimized aeration (25 mL min–1, 3 h), 50 ppm of NO optimally elevated intracellular (0.62–1.30 nmol L–1) and extracellular (2.56–3.90 nmol L–1) NO levels, mitigating oxidative stress while stimulating nitrate reductase activity. This concentration maximally promoted cell proliferation (152.7% increase in algal density) and photosynthetic quantum yield (9.7% higher Fv/Fm). Consequently, the CO2 removal rate increased by approximately 43%, coupled with a NO removal efficiency of 33.1%. These findings suggest that, under controlled experimental conditions that exclude SO2 and other components of real flue gas, moderate supplementation of NO can enhance microalgal carbon fixation and reduce nitrogen oxide emissions by improving photosynthetic efficiency and biomass accumulation. This presents a promising strategy for integrated flue gas bioremediation.

  PublisherDOI

• Efficacy of Endoscopic Triamcinolone Injection for Stricture Prevention and Risk Factors for Stricture after Endoscopic Submucosal Dissection

  Research Square · 2026-05-08

  preprintOpen access
  PublisherOA PDFDOI

• Investigation on the durability performance and mechanism analysis of modified crumb rubber concrete

  Construction and Building Materials · 2025-03-11 · 13 citations

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• Kitchen waste composting leachate stimulates endogenous simultaneous nitrifying and denitrifying pathways in WWTPs

  Environmental Research · 2025-08-12 · 1 citations

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• Comparison of nested PCR coupled DNA barcoding and an all-in-one dd PCR in detection of highly degraded DNA in Fritillariae Cirrhosae Bulbus

  Microchemical Journal · 2025-12-18

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  PublisherDOI

• Development and Validation of Diverse Active Human Models for Simulating Stochastic Occupant Responses During Pre-Crash Vehicle Maneuvers

  SSRN Electronic Journal · 2025-01-01

  preprintOpen accessSenior author
  PublisherDOI

• Hypoxia-inducible APCDD1L-AS1 promotes osimertinib resistance by stabilising DLST to drive tricarboxylic acid cycle in lung adenocarcinoma

  Journal of Experimental & Clinical Cancer Research · 2025-07-09 · 3 citations

  articleOpen access

  Acquired resistance is unavoidable in lung adenocarcinoma (LUAD) treated with osimertinib, however, the underlying mechanisms remain largely unknown. Here, we report that the long non-coding RNA (lncRNA) APCDD1L-AS1 is upregulated in osimertinib-resistant LUAD tissues and cells and is associated with short survival of osimertinib-resistant LUAD patients. Our data showed that APCDD1L-AS1 upregulation is an independent risk factor for overall survival in patients with osimertinib-resistant LUAD. APCDD1L-AS1 knockdown enhanced osimertinib sensitivity both in vitro and in vivo, whereas APCDD1L-AS1 overexpression promoted osimertinib resistance. Mechanistically, APCDD1L-AS1 accelerates the tricarboxylic acid (TCA) cycle by forming complexes and maintaining the stability of dihydrolipoamide S-succinyltransferase (DLST), which inhibits the ubiquitination and degradation of DLST. Moreover, we demonstrate that hypoxia-inducible factor (HIF)-1α transcriptionally activates APCDD1L-AS1 by binding to the APCDD1L-AS1 promoter region under hypoxic conditions. Overall, our data confirm that APCDD1L-AS1 is upregulated by hypoxia-induced HIF-1α, which drives the TCA cycle by stabilising DLST to further promote osimertinib resistance in LUAD. Our findings provide new insights into the role of HIF-1α/APCDD1L-AS1/DLST axis-related reprogramming of hypoxia and the TCA balance in conferring osimertinib resistance in LUAD and confirm the therapeutic potential for targeting the APCDD1L-AS1.

  PublisherOA PDFDOI

• Development and validation of the Chinese premarital counseling health belief scale

  Current Psychology · 2025-09-05

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  PublisherDOI

• Predicting head impact conditions in vehicle-to-pedestrian impacts through computational human modeling

  Traffic Injury Prevention · 2025-09-15 · 3 citations

  article1st authorCorresponding

  OBJECTIVE: This study aimed to use finite element (FE) pedestrian and vehicle models to generate a virtual database of pedestrian impacts and develop prediction models for pedestrian head impact conditions, which are important to evaluate the effects of vehicle front-end designs on pedestrian head injury responses. METHODS: values and root-mean-square-error (RMSE) were used to evaluate the quality of the prediction models. RESULTS: = 0.846 and RMSE = 7.95 deg for adult pedestrians). It was found that impact speed, WAD, hood angle, and hood height are statistically significant variables for predicting the pedestrian head impact conditions. HIT is highly predictable in pedestrian impacts, while the head impact velocity and head impact angle are associated with larger variations in the selected impact conditions. This indicates a potential need of varying impact velocity and angle for future vehicle evaluations of pedestrian head protection. CONCLUSIONS: This study generated a virtual database of pedestrian impacts with a wide range of vehicle front-end geometries, and developed prediction models to use vehicle front-end geometry, pedestrian size, impact speed, and WAD to predict pedestrian HIT, head contact velocity, and head contact angle.

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Recent grants

• GOALI: Developing an Injury Assessment Methodology for Evaluating Safety Designs Focusing on Various Vulnerable Populations

  NSF · $299k · 2013–2016

Frequent coauthors

• Matthew P. Reed

  University of Michigan–Ann Arbor

  157 shared

• Jonathan D. Rupp

  University of Michigan–Ann Arbor

  99 shared

• Kathleen D. Klinich

  Michigan Department of Transportation

  83 shared

• Lawrence W. Schneider

  Michigan Department of Transportation

  42 shared

• Carl S. Miller

  University of Michigan–Ann Arbor

  40 shared

• Nichole R. Orton

  Michigan Department of Transportation

  38 shared

• Miriam A. Manary

  Michigan Department of Transportation

  32 shared

• Kyle Boyle

  Michigan Department of Transportation

  31 shared

Education

• PhD, Biomedical Engineering

  Wayne State University

  2007

• MS, Automotive Engineering

  Tsinghua University

  2003

• BS, Automotive Engineering

  Tsinghua University

  2000