Shang‐Fu Chen

1.0k total citations
33 papers, 636 citations indexed

About

Shang‐Fu Chen is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Shang‐Fu Chen has authored 33 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Materials Chemistry. Recurrent topics in Shang‐Fu Chen's work include ZnO doping and properties (5 papers), Ga2O3 and related materials (4 papers) and GaN-based semiconductor devices and materials (4 papers). Shang‐Fu Chen is often cited by papers focused on ZnO doping and properties (5 papers), Ga2O3 and related materials (4 papers) and GaN-based semiconductor devices and materials (4 papers). Shang‐Fu Chen collaborates with scholars based in Taiwan, United States and South Korea. Shang‐Fu Chen's co-authors include Yu-Chiang Wang, Yi‐Chen Chen, Chih‐Kuan Yeh, Meng‐Chyi Wu, Ali Torkamani, Mitch A. Garcia, Zunfu Ke, Shuang Hou, Hsian‐Rong Tseng and Yu-Chiang Frank Wang and has published in prestigious journals such as Nature Medicine, ACS Nano and Cancer.

In The Last Decade

Shang‐Fu Chen

31 papers receiving 630 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shang‐Fu Chen Taiwan	12	145	140	131	104	104	33	636
Tong Ding China	13	71 0.5×	95 0.7×	175 1.3×	171 1.6×	117 1.1×	42	1.1k
Haoran Zhao China	13	311 2.1×	107 0.8×	63 0.5×	150 1.4×	44 0.4×	66	696
Masahiko Itoh Japan	17	61 0.4×	41 0.3×	88 0.7×	227 2.2×	52 0.5×	66	760
Sheng Shi China	12	102 0.7×	60 0.4×	29 0.2×	237 2.3×	120 1.2×	30	825
Jie Tian China	16	316 2.2×	143 1.0×	181 1.4×	57 0.5×	12 0.1×	39	1.2k
Cheng Zhi China	16	52 0.4×	290 2.1×	46 0.4×	282 2.7×	57 0.5×	66	818
Clark Zhang United States	13	348 2.4×	38 0.3×	54 0.4×	288 2.8×	154 1.5×	25	984
Ling‐Hui Li China	20	65 0.4×	293 2.1×	253 1.9×	461 4.4×	71 0.7×	55	1.4k
Xingkai Wang China	15	131 0.9×	96 0.7×	22 0.2×	220 2.1×	170 1.6×	86	784

Countries citing papers authored by Shang‐Fu Chen

Since Specialization

Citations

This map shows the geographic impact of Shang‐Fu Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shang‐Fu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shang‐Fu Chen more than expected).

Fields of papers citing papers by Shang‐Fu Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shang‐Fu Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shang‐Fu Chen. The network helps show where Shang‐Fu Chen may publish in the future.

Co-authorship network of co-authors of Shang‐Fu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shang‐Fu Chen. A scholar is included among the top collaborators of Shang‐Fu Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shang‐Fu Chen. Shang‐Fu Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Khattab, Ahmed, Shang‐Fu Chen, Nathan E. Wineinger, & Ali Torkamani. (2025). AoUPRS: A cost-effective and versatile PRS calculator for the All of Us Program. BMC Genomics. 26(1). 521–521.

Lee, Sang Eun, Hee Sang Hwang, Shang‐Fu Chen, et al.. (2025). Spatial transcriptional landscape of human heart failure. European Heart Journal. 46(31). 3098–3114. 3 indexed citations

Chen, Shang‐Fu, Sang Eun Lee, Hossein Javedani Sadaei, et al.. (2025). Meta-prediction of coronary artery disease risk. Nature Medicine. 31(7). 2277–2288. 1 indexed citations

Shahid, Mohammad, Shang‐Fu Chen, Yuling Hsu, et al.. (2023). Forest Fire Segmentation via Temporal Transformer from Aerial Images. Forests. 14(3). 563–563. 25 indexed citations

Chen, Shang‐Fu, Salvatore Loguercio, Kaiyu Chen, et al.. (2023). Artificial Intelligence for Risk Assessment on Primary Prevention of Coronary Artery Disease. Current Cardiovascular Risk Reports. 17(12). 215–231. 6 indexed citations

Chen, Shang‐Fu, et al.. (2022). How Does C-V2X Help Autonomous Driving to Avoid Accidents?. Sensors. 22(2). 686–686. 22 indexed citations

Sadaei, Hossein Javedani, Aldo Córdova‐Palomera, Jong Hun Lee, et al.. (2022). Genetically-informed prediction of short-term Parkinson’s disease progression. npj Parkinson s Disease. 8(1). 143–143. 10 indexed citations

Chen, Shang‐Fu, Yung-Yao Chen, Kai‐Lung Hua, et al.. (2022). Controllable Model Compression for Roadside Camera Depth Estimation. IEEE Transactions on Intelligent Transportation Systems. 24(12). 15478–15485. 5 indexed citations

Muse, Evan D., Shang‐Fu Chen, & Ali Torkamani. (2021). Monogenic and Polygenic Models of Coronary Artery Disease. Current Cardiology Reports. 23(8). 107–107. 15 indexed citations

10.

Chen, Shang‐Fu, Raquel Dias, D. Gareth Evans, et al.. (2020). Genotype imputation and variability in polygenic risk score estimation. Genome Medicine. 12(1). 100–100. 35 indexed citations

11.

Liu, Yen‐Ting, Yu-Jhe Li, Fu-En Yang, Shang‐Fu Chen, & Yu-Chiang Frank Wang. (2019). Learning Hierarchical Self-Attention for Video Summarization. 3377–3381. 39 indexed citations

12.

Chen, Shang‐Fu, Kuo-Hsuan Hung, Ching-Fang Chang, et al.. (2017). Efficient Generation of Chemically Induced Mesenchymal Stem Cells from Human Dermal Fibroblasts. Scientific Reports. 7(1). 44534–44534. 24 indexed citations

13.

Hsu, Shu‐Ching, et al.. (2017). CHAC2 is essential for self-renewal and glutathione maintenance in human embryonic stem cells. Free Radical Biology and Medicine. 113. 439–451. 31 indexed citations

14.

Chen, Shang‐Fu, et al.. (2014). High-Frequency Modulation of GaAs/AlGaAs LEDs Using Ga-Doped ZnO Current Spreading Layers. IEEE Electron Device Letters. 35(1). 36–38. 8 indexed citations

15.

Chen, Shang‐Fu, et al.. (2014). Effects of substrate temperature on the Cu2ZnSnS4 films deposited by radio-frequency sputtering with single target. Thin Solid Films. 564. 345–350. 32 indexed citations

16.

Chen, Shang‐Fu, et al.. (2013). Low Specific Contact Resistance of Gallium Zinc Oxide Prepared by Atomic Layer Deposition Contact on ${\rm p}^{+}\hbox{-}{\rm GaAs}$ for High-Speed Near-Infrared Light-Emitting Diode Applications. IEEE Electron Device Letters. 34(8). 972–974. 9 indexed citations

17.

Lee, Yueh‐Lin, et al.. (2013). Effects of Oxygen Plasma Post-Treatment on Ga-Doped ZnO Films Grown by Thermal-Mode ALD. ECS Journal of Solid State Science and Technology. 2(7). P316–P320. 12 indexed citations

18.

Huang, Kuo-Ming, et al.. (2010). RF Sputtered Low-Resistivity and High-Transmittance Indium Gallium Zinc Oxide Films for Near-UV Applications. Electrochemical and Solid-State Letters. 14(3). H132–H132. 4 indexed citations

19.

Huang, Kuo-Ming, et al.. (2010). Low-Resistivity and High-Transmittance Indium Gallium Zinc Oxide Films Prepared by Co-Sputtering In₂Ga₂ZnO₇ and In₂O₃ Targets. ECS Transactions. 28(4). 137–148. 5 indexed citations

20.

Chen, Shang‐Fu, et al.. (2007). Temperature-insensitive detectivity of 5-pair InAs/GaAs quantum-dot infrared photodetectors with asymmetric device structure. Journal of Crystal Growth. 301-302. 817–820. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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