| Issue Date | Title | Author(s) | Source | scopus | WOS | Fulltext/Archive link |
| 2017 | 106年臺中場開設的農民學院訓練班 即將開課 | 陳蓓真; 陳世芳; SHIH-FANG CHEN | 臺中區農情月刊 | | | |
| 2018 | 107年度農業推廣人員講習提升推廣人員新知 | 陳世芳; SHIH-FANG CHEN | 臺中區農情月刊 | | | |
| 2019 | 「108年科研與產業的距離工作坊」以市場與產業趨力，帶動科研走向 | 陳世芳; 王念慈; 游涴淨; SHIH-FANG CHEN | 臺中區農情月刊 | | | |
| 2019 | 「2019亞洲生技大展－農業科技館」盛大開幕 | 王念慈; 陳世芳; SHIH-FANG CHEN | 臺中區農情月刊 | | | |
| 2018 | Application of deep learning algorithm on tea shoot identification and localization | Chen Y.-T; Wu C.-C; Chen S.-F.; SHIH-FANG CHEN | ASABE 2018 Annual International Meeting | 4 | 0 | |
| 2018 | Application of deep learning algorithm on tea shoot identification and localization | Chen Y.-T.; Wu C.-C.; SHIH-FANG CHEN ; SHIH-FANG CHEN | ASABE 2018 Annual International Meeting | 4 | 0 | |
| 2013 | Decomposition and solubility of H2O2: Implications in exhaled breath condensate | Chen, S.-F.; Danao, M.-G.C.; SHIH-FANG CHEN | Journal of Breath Research | 6 | 5 | |
| 2014 | Determining sucrose and glucose levels in dual-purpose sorghum stalks by Fourier transform near infrared (FT-NIR) spectroscopy | Chen, S.-F.; Danao, M.-G.C.; Singh, V.; Brown, P.J.; SHIH-FANG CHEN | Journal of the Science of Food and Agriculture | 28 | 25 | |
| 2018 | Development of image recognition and classification algorithm for tea leaf diseases using convolutional neural network | Lee S.-H.; Wu C.-C.; SHIH-FANG CHEN ; SHIH-FANG CHEN | ASABE 2018 Annual International Meeting | 4 | 0 | |
| 2018 | Development of image recognition and classification algorithm for tea leaf diseases using convolutional neural network | Lee S.-H; Wu C.-C; Chen S.-F.; SHIH-FANG CHEN | ASABE 2018 Annual International Meeting | 4 | 0 | |
| 2019 | Development of Navigation System for Tea Field Machine Using Semantic Segmentation | Lin Y.-K; Chen S.-F.; SHIH-FANG CHEN | IFAC-PapersOnLine | 11 | 0 | |
| 2017 | Discriminant analysis of the geographical origins of oolong tea using surface-enhanced Raman spectroscopy | Liao Y.-W.; Chen S.-F.; SHIH-FANG CHEN | 2017 ASABE Annual International Meeting | 2 | 0 | |
| 2020 | Identification of tea foliar diseases and pest damage under practical field conditions using a convolutional neural network | Lee S.-H; Lin S.-R; Chen S.-F.; SHIH-FANG CHEN | Plant Pathology | 9 | 7 | |
| 2019 | Identifying and localizing the disease spots of late blight on tomato leaves using deep convolutional neural networks | Cheng H.-H; Ke Y.-L; Lin C.-P; Huang J.-H; Chen S.-F; Kuo Y.-F.; SHIH-FANG CHEN | 2019 ASABE Annual International Meeting | 1 | 0 | |
| 2019 | Identifying and localizing the disease spots of late blight on tomato leaves using deep convolutional neural networks | Lin, Chu Ping; Cheng, Hsueh Hung; YAN-FU KUO; Huang, Jin Hsing; SHIH-FANG CHEN; Ke, Yan Ling; Lin, Chu Ping; Cheng, Hsueh Hung; YAN-FU KUO; Huang, Jin Hsing; SHIH-FANG CHEN; YAN-FU KUO ; SHIH-FANG CHEN ; SHIH-FANG CHEN | 2019 ASABE Annual International Meeting | 1 | 0 | |
| 2020 | Localizing plucking points of tea leaves using deep convolutional neural networks | Chen Y.-T; Chen S.-F.; SHIH-FANG CHEN | Computers and Electronics in Agriculture | 27 | 19 | |
| 2015 | Modeling the equilibrium moisture content (EMC) of Miscanthus sinensis, miscane, energy cane, and energy sorghum | SHIH-FANG CHEN | Fuel | 7 | 4 | |
| 2017 | On precisely relating the growth of Phalaenopsis leaves to greenhouse environmental factors by using an IoT-based monitoring system | Liao M.-S.; Chen S.-F.; Chou C.-Y.; Chen H.-Y.; Yeh S.-H.; Chang Y.-C.; Jiang J.-A.; SHIH-FANG CHEN | Computers and Electronics in Agriculture | 70 | 53 | |
| 2021 | Prediction of specialty coffee flavors based on near-infrared spectra using machine? and deep-learning methods | Chang Y.-T; Hsueh M.-C; Hung S.-P; Lu J.-M; Peng J.-H; Chen S.-F.; SHIH-FANG CHEN | Journal of the Science of Food and Agriculture | 14 | 12 | |
| 2014 | Prediction of starch content and ethanol yields of sorghum grain using near infrared spectroscopy | SHIH-FANG CHEN | American Society of Agricultural and Biological Engineers Annual International Meeting 2014, ASABE 2014 | 1 | | |
