Ying-Feng Chang

941 total citations
16 papers, 748 citations indexed

About

Ying-Feng Chang is a scholar working on Molecular Biology, Biomedical Engineering and Epidemiology. According to data from OpenAlex, Ying-Feng Chang has authored 16 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Biomedical Engineering and 4 papers in Epidemiology. Recurrent topics in Ying-Feng Chang's work include Advanced Biosensing Techniques and Applications (9 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Biosensors and Analytical Detection (5 papers). Ying-Feng Chang is often cited by papers focused on Advanced Biosensing Techniques and Applications (9 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Biosensors and Analytical Detection (5 papers). Ying-Feng Chang collaborates with scholars based in Taiwan and Indonesia. Ying-Feng Chang's co-authors include Chien Chou, Li‐Chen Su, Chii‐Chang Chen, Ja‐an Annie Ho, Yi‐Ming Arthur Chen, Yi‐Jang Lee, Kuan-Hsuan Chen, Neng-Yao Shih, Jason C. Huang and Ran-Chou Chen and has published in prestigious journals such as Analytical Chemistry, Analytical Biochemistry and Scientific Reports.

In The Last Decade

Ying-Feng Chang

15 papers receiving 742 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ying-Feng Chang 489 435 165 137 112 16 748
Li‐Chen Su 417 0.9× 455 1.0× 185 1.1× 175 1.3× 90 0.8× 33 729
Keum‐Soo Song 528 1.1× 343 0.8× 118 0.7× 92 0.7× 29 0.3× 42 860
Leanne F. Harris 538 1.1× 786 1.8× 92 0.6× 216 1.6× 28 0.3× 14 1.1k
Linsheng Zhan 416 0.9× 365 0.8× 80 0.5× 42 0.3× 123 1.1× 48 846
Eman M. Hassan 350 0.7× 377 0.9× 82 0.5× 243 1.8× 31 0.3× 32 870
Yao-Chen Chuang 343 0.7× 456 1.0× 53 0.3× 69 0.5× 64 0.6× 21 667
Alexey Kopylov 1.1k 2.2× 259 0.6× 95 0.6× 61 0.4× 54 0.5× 84 1.3k
Kai Chang 796 1.6× 492 1.1× 296 1.8× 142 1.0× 25 0.2× 50 1.4k
Elena Zavyalova 586 1.2× 352 0.8× 172 1.0× 78 0.6× 95 0.8× 71 881
Natalie A. Hirst 338 0.7× 393 0.9× 62 0.4× 77 0.6× 23 0.2× 7 673

Countries citing papers authored by Ying-Feng Chang

Since Specialization
Citations

This map shows the geographic impact of Ying-Feng Chang'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 Ying-Feng Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-Feng Chang more than expected).

Fields of papers citing papers by Ying-Feng Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying-Feng Chang. 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 Ying-Feng Chang. The network helps show where Ying-Feng Chang may publish in the future.

Co-authorship network of co-authors of Ying-Feng Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Feng Chang. A scholar is included among the top collaborators of Ying-Feng Chang 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 Ying-Feng Chang. Ying-Feng Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Su, Li‐Chen, Xinhui Wang, Chun‐Jen Shih, et al.. (2025). Unleashing instant on-site naked-eye detection by a portable NIR-SPR platform with organic upconversion. Chemical Engineering Journal. 525. 170464–170464.
2.
Hsu, Jen‐Fu, Ying-Feng Chang, Chi Yang, et al.. (2021). Machine Learning Approaches to Predict In-Hospital Mortality among Neonates with Clinically Suspected Sepsis in the Neonatal Intensive Care Unit. Journal of Personalized Medicine. 11(8). 695–695. 26 indexed citations
3.
Chang, Ying-Feng, Wen‐Hung Wang, Kuan-Hsuan Chen, et al.. (2018). Simple Strategy for Rapid and Sensitive Detection of Avian Influenza A H7N9 Virus Based on Intensity-Modulated SPR Biosensor and New Generated Antibody. Analytical Chemistry. 90(3). 1861–1869. 100 indexed citations
4.
Prabowo, Briliant Adhi, Ying-Feng Chang, Hsin‐Chih Lai, et al.. (2017). Rapid screening of Mycobacterium tuberculosis complex (MTBC) in clinical samples by a modular portable biosensor. Sensors and Actuators B Chemical. 254. 742–748. 31 indexed citations
5.
Chang, Ying-Feng, et al.. (2017). An innovative application of time-domain spectroscopy on localized surface plasmon resonance sensing. Scientific Reports. 7(1). 44555–44555. 5 indexed citations
6.
Chang, Ying-Feng, Yi‐Ting Chen, Amily Fang‐Ju Jou, et al.. (2015). Use of liposomal amplifiers in total internal reflection fluorescence fiber-optic biosensors for protein detection. Biosensors and Bioelectronics. 77. 1201–1207. 23 indexed citations
7.
Chang, Ying-Feng, et al.. (2013). Determination of urine cofilin-1 level in acute kidney injury using a high-throughput localized surface plasmon-coupled fluorescence biosensor. Journal of Biomedical Optics. 19(1). 11004–11004. 8 indexed citations
8.
Chao, Cheng‐Han, Ying-Feng Chang, Lih‐Yuan Lin, et al.. (2012). Detection of urine cofilin-1 from patients hospitalized in the intensive care unit using the metal-enhanced fluorescence technique. Sensors and Actuators B Chemical. 173. 184–190. 12 indexed citations
9.
Chang, Ying-Feng, Yi‐Jang Lee, Ran-Chou Chen, et al.. (2011). Discrimination of Breast Cancer by Measuring Prostate-Specific Antigen Levels in Women's Serum. Analytical Chemistry. 83(13). 5324–5328. 44 indexed citations
10.
Chang, Ying-Feng, Sheng‐Fan Wang, Jason C. Huang, et al.. (2010). Detection of swine-origin influenza A (H1N1) viruses using a localized surface plasmon coupled fluorescence fiber-optic biosensor. Biosensors and Bioelectronics. 26(3). 1068–1073. 54 indexed citations
11.
Su, Li‐Chen, Ran-Chou Chen, Ying-Feng Chang, et al.. (2010). Detection of Prostate-Specific Antigen with a Paired Surface Plasma Wave Biosensor. Analytical Chemistry. 82(9). 3714–3718. 34 indexed citations
12.
Ho, Ja‐an Annie, et al.. (2010). Diagnostic Detection of Human Lung Cancer-Associated Antigen Using a Gold Nanoparticle-Based Electrochemical Immunosensor. Analytical Chemistry. 82(14). 5944–5950. 155 indexed citations
13.
Huang, Jason C., Ying-Feng Chang, Kuan-Hsuan Chen, et al.. (2009). Detection of severe acute respiratory syndrome (SARS) coronavirus nucleocapsid protein in human serum using a localized surface plasmon coupled fluorescence fiber-optic biosensor. Biosensors and Bioelectronics. 25(2). 320–325. 113 indexed citations
14.
Chang, Ying-Feng, et al.. (2008). Localized surface plasmon coupled fluorescence fiber-optic biosensor for alpha-fetoprotein detection in human serum. Biosensors and Bioelectronics. 24(6). 1610–1614. 63 indexed citations
15.
Hsieh, Bao‐Yu, et al.. (2008). Quantitative measurement of binding kinetics in sandwich assay using a fluorescence detection fiber-optic biosensor. Analytical Biochemistry. 385(2). 224–228. 20 indexed citations
16.
Hsieh, Bao‐Yu, et al.. (2007). Localized Surface Plasmon Coupled Fluorescence Fiber-Optic Biosensor with Gold Nanoparticles. Analytical Chemistry. 79(9). 3487–3493. 60 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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