Fuh-Cherng Jeng

441 total citations
31 papers, 329 citations indexed

About

Fuh-Cherng Jeng is a scholar working on Cognitive Neuroscience, Sensory Systems and Signal Processing. According to data from OpenAlex, Fuh-Cherng Jeng has authored 31 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 9 papers in Sensory Systems and 8 papers in Signal Processing. Recurrent topics in Fuh-Cherng Jeng's work include Hearing Loss and Rehabilitation (28 papers), Neuroscience and Music Perception (16 papers) and Hearing, Cochlea, Tinnitus, Genetics (9 papers). Fuh-Cherng Jeng is often cited by papers focused on Hearing Loss and Rehabilitation (28 papers), Neuroscience and Music Perception (16 papers) and Hearing, Cochlea, Tinnitus, Genetics (9 papers). Fuh-Cherng Jeng collaborates with scholars based in United States, Taiwan and Australia. Fuh-Cherng Jeng's co-authors include Paul J. Abbas, Barbara K. Robinson, Kirill V. Nourski, Charles A. Miller, Ximing Li, Chia‐Der Lin, Marcia J. Hay-McCutcheon, Ning Hu, Xiuhua Chao and Jianfen Luo and has published in prestigious journals such as The Journal of the Acoustical Society of America, Hearing Research and Ear and Hearing.

In The Last Decade

Fuh-Cherng Jeng

29 papers receiving 325 citations

Peers

Fuh-Cherng Jeng

Ron D. Chambers United States

Alan Salamy United States

Tess K. Koerner United States

Jocelyne Wable France

Stefan Brill Germany

Guillermo Savío Cuba

Kristin Uhler United States

B. Robert Peters United States

Anne L. Beiter United States

Samuele Carcagno France

Ron D. Chambers United States

Fuh-Cherng Jeng

342 ×1.2

231 ×1.2

92 ×1.4

29 ×0.5

15 ×0.4

Citations per year, relative to Fuh-Cherng Jeng Fuh-Cherng Jeng (= 1×) peers Ron D. Chambers

Countries citing papers authored by Fuh-Cherng Jeng

Since Specialization

Citations

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

Fields of papers citing papers by Fuh-Cherng Jeng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fuh-Cherng Jeng. 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 Fuh-Cherng Jeng. The network helps show where Fuh-Cherng Jeng may publish in the future.

Co-authorship network of co-authors of Fuh-Cherng Jeng

This figure shows the co-authorship network connecting the top 25 collaborators of Fuh-Cherng Jeng. A scholar is included among the top collaborators of Fuh-Cherng Jeng 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 Fuh-Cherng Jeng. Fuh-Cherng Jeng 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

Jeng, Fuh-Cherng, et al.. (2022). Implementation of Machine Learning on Human Frequency-Following Responses: A Tutorial. Seminars in Hearing. 43(3). 251–274. 1 indexed citations

Jeng, Fuh-Cherng, et al.. (2020). A Demonstration of Machine Learning in Detecting Frequency Following Responses in American Neonates. Perceptual and Motor Skills. 128(1). 48–58. 5 indexed citations

He, Shuman, Lei Xu, Jeffrey Skidmore, et al.. (2019). The Effect of Interphase Gap on Neural Response of the Electrically Stimulated Cochlear Nerve in Children With Cochlear Nerve Deficiency and Children With Normal-Sized Cochlear Nerves. Ear and Hearing. 41(4). 918–934. 36 indexed citations

Jeng, Fuh-Cherng, et al.. (2018). Frequency-following responses elicited by a consonant-vowel with intonation. The Journal of the Acoustical Society of America. 144(3_Supplement). 1837–1837. 1 indexed citations

Jeng, Fuh-Cherng, et al.. (2018). Machine learning in detecting frequency-following responses. Proceedings of meetings on acoustics. 50002–50002. 3 indexed citations

Jeng, Fuh-Cherng, et al.. (2017). Exponential Modeling of Frequency-Following Responses in American Neonates and Adults. Journal of the American Academy of Audiology. 29(2). 125–134. 7 indexed citations

Jeng, Fuh-Cherng, et al.. (2016). Subcortical neural representation to Mandarin pitch contours in American and Chinese newborns. The Journal of the Acoustical Society of America. 139(6). EL190–EL195. 18 indexed citations

Jeng, Fuh-Cherng, et al.. (2015). Pitch perception and frequency-following responses elicited by lexical-tone chimeras. International Journal of Audiology. 55(1). 53–63. 3 indexed citations

Lin, Chia‐Der, et al.. (2014). Recording Frequency-following Responses to Voice Pitch in Guinea Pigs: Preliminary Results. Perceptual and Motor Skills. 118(3). 681–690. 1 indexed citations

10.

Li, Ximing & Fuh-Cherng Jeng. (2011). Noise tolerance in human frequency-following responses to voice pitch. The Journal of the Acoustical Society of America. 129(1). EL21–EL26. 36 indexed citations

11.

Jeng, Fuh-Cherng, et al.. (2011). Effects of silent interval on human frequency-following responses to voice pitch. The Journal of the Acoustical Society of America. 130(4_Supplement). 2545–2545. 2 indexed citations

12.

Miller, Charles A., Paul J. Abbas, Barbara K. Robinson, et al.. (2009). Auditory Nerve Fiber Responses to Combined Acoustic and Electric Stimulation. Journal of the Association for Research in Otolaryngology. 10(3). 425–445. 18 indexed citations

13.

Jeng, Fuh-Cherng, Paul J. Abbas, Ning Hu, et al.. (2008). Effects of temporal properties on compound action potentials in response to amplitude-modulated electric pulse trains in guinea pigs. Hearing Research. 247(1). 47–59. 12 indexed citations

14.

Abbas, Paul J., et al.. (2007). Binaural interactions of electrically and acoustically evoked responses recorded from the inferior colliculus of guinea pigs. International Journal of Audiology. 46(6). 309–320. 5 indexed citations

15.

Jeng, Fuh-Cherng, Paul J. Abbas, Carolyn Brown, et al.. (2007). Electrically Evoked Auditory Steady-State Responses in a Guinea Pig Model: Latency Estimates and Effects of Stimulus Parameters. Audiology and Neurotology. 13(3). 161–171. 8 indexed citations

16.

Nourski, Kirill V., Paul J. Abbas, Charles A. Miller, Barbara K. Robinson, & Fuh-Cherng Jeng. (2007). Acoustic–electric interactions in the guinea pig auditory nerve: Simultaneous and forward masking of the electrically evoked compound action potential. Hearing Research. 232(1-2). 87–103. 19 indexed citations

17.

Jeng, Fuh-Cherng, Paul J. Abbas, Carolyn Brown, et al.. (2006). Electrically Evoked Auditory Steady-State Responses in Guinea Pigs. Audiology and Neurotology. 12(2). 101–112. 12 indexed citations

18.

Nourski, Kirill V., Paul J. Abbas, Charles A. Miller, Barbara K. Robinson, & Fuh-Cherng Jeng. (2004). Effects of acoustic noise on the auditory nerve compound action potentials evoked by electric pulse trains. Hearing Research. 202(1-2). 141–153. 16 indexed citations

19.

Miller, Charles A., Paul J. Abbas, Marcia J. Hay-McCutcheon, et al.. (2004). Intracochlear and extracochlear ECAPs suggest antidromic action potentials. Hearing Research. 198(1-2). 75–86. 40 indexed citations

20.

Hu, Ning, Paul J. Abbas, Charles A. Miller, et al.. (2003). Auditory response to intracochlear electric stimuli following furosemide treatment. Hearing Research. 185(1-2). 77–89. 27 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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