●厦门大学 工学博士（电子科学与技术专业），现为智能产品开发与应用专业专任教师。

●研究方向：生物医学多组学数据分析、统计建模、机器学习与智能信息处理等。

●主讲科目：电子技术基础、电子工程制图等。

SCI论文择优如下：

[1] Pengfei Guo, Tianhong Teng, Jianghua Feng*, Heguang Huang*, et al. Metabolomic analyses redefine the biological classification of pancreatic cancer and correlate with clinical outcomes. International Journal of Cancer, 2022, 151(10):1835-1846. JCR Q1, IF=7.316, TOP, 封面论文

[2] Pengfei Guo, Jianghua Feng*, Tianhong Teng*, et al. Metabolic, transcriptomic, and proteomic adaptations in pancreaticductal adenocarcinoma-patient derived xenograft models across serial passages. Journal of Translational Medicine, 2025, 23:732. JCR Q1, IF=9.7, TOP

[3] Wuping Liu, Pengfei Guo, Jianghua Feng*, et al. Metabolic interactions and differences between coronary heart disease and diabetes mellitus: A pilot study on biomarker determination and pathogenesis. Journal of Proteome Research, 2020, 20(5): 2364-2373. JCR Q2, IF=5.37

[4] Shizhao Lin, Xiangqing Yao, Pengfei Guo, Han Shi, Haoteng Luo, Kun Ke, Tianhong Teng* and Shangeng Weng*, et al.,Integrative transcriptomic and proteomic profiling defines secretory and immune related subtypes in pancreatic ductal adenocarcinoma. Journal of Proteome Research, 2026, 25, 1737-1748. JCR Q2, IF=5.37

[5] Sanxi Wang, Shi Wen, Pengfei Guo, Jianghua Feng*, Heguang Huang*, et al. Understanding metabolomic characteristics of pancreatic ductal adenocarcinoma by HR-MAS NMR detection of pancreatic tissues. Journal of Pharmaceutical and Biomedical Analysis, 2020,109: 113546. JCR Q3, IF=3.935

[6] Binbin Wei, Congfei Wang, Tianhong Teng, Pengfei Guo, Jianghua Feng*, Heguang Huang*, et al. Chemotherapeutic efficacy of cucurmosin for pancreatic cancer as an alternative of gemcitabine: a comparative metabolomic study. Gland Surgery, 2020, 9(5): 1428-1448.JCR2, IF=2.953

[7] Tianhong Teng, Han Shi, Yanying Fan, Pengfei Guo, Jianghua Feng*, Heguang Huang*, et al. Metabolic responses to the occurrence and chemotherapy of pancreatic cancer: biomarker identification and prognosis prediction.

Scientific Reports, 2024, 14(1): 6938. JCR Q3, IF=3.8

[8] Ge song, Tao Dai,Yajie Chang, Huile Pei, Wuping Liu, Pengfei Guo, Jianghua Feng*, Guiping Sheng*, et al. A BEST classification system of large to giant congenital melanocytic nevi based on expert consensus and distribution characteristics. JCR Q2, IF=9.2

[9] Boqiang Liao; Junqi Huang; Honghai Chen; Feng Xia; Pengfei Guo, Guiping Shen*, et al. Enhanced predictive accuracy of pancreatic ductal adenocarcinoma staging: A synergistic approach merging machine learning algorithms with metabolic profiling. Chemometrics and Intelligent Laboratory Systems, 2025, 265: 105497. JCR Q2, IF=3.6

[10] Ge Song, Tao Dai, Yongqiang Ren, Yajie Chang, Pengfei Guo, Guiping Shen*, Jianghua Feng*, et al. Understanding metabolic characteristics and molecular mechanisms of large to giant congenital melanocytic nevi: Implications for melanoma risk and therapeutic targets. Analytical Methods, 2025, 17: 3229-3238. JCR Q3, IF=2.7