Lu‐Feng Shi

529 total citations
29 papers, 369 citations indexed

About

Lu‐Feng Shi is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Lu‐Feng Shi has authored 29 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 15 papers in Experimental and Cognitive Psychology and 14 papers in Signal Processing. Recurrent topics in Lu‐Feng Shi's work include Hearing Loss and Rehabilitation (19 papers), Phonetics and Phonology Research (15 papers) and Speech and Audio Processing (14 papers). Lu‐Feng Shi is often cited by papers focused on Hearing Loss and Rehabilitation (19 papers), Phonetics and Phonology Research (15 papers) and Speech and Audio Processing (14 papers). Lu‐Feng Shi collaborates with scholars based in United States and China. Lu‐Feng Shi's co-authors include Laura L. Koenig, Jindong Tan, Krista Byers‐Heinlein, Elizabeth D. Peña, Robert J. Hartsuiker, Mark Antoniou, Theres Grüter, Lisa M. Bedore, François Grosjean and Laurel H. Carney and has published in prestigious journals such as The Journal of the Acoustical Society of America, Journal of Speech Language and Hearing Research and Ear and Hearing.

In The Last Decade

Lu‐Feng Shi

29 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lu‐Feng Shi United States	12	311	175	138	112	84	29	369
Matthew B. Winn United States	11	391 1.3×	265 1.5×	85 0.6×	203 1.8×	129 1.5×	19	496
Kevin J. P. Woods United States	4	278 0.9×	175 1.0×	46 0.3×	108 1.0×	52 0.6×	5	384
Anita Wagner Netherlands	11	297 1.0×	148 0.8×	52 0.4×	114 1.0×	140 1.7×	22	357
Drew Jordan McLaughlin United States	8	174 0.6×	150 0.9×	37 0.3×	62 0.6×	61 0.7×	18	252
Paula E. Tucker United States	8	241 0.8×	238 1.4×	145 1.1×	36 0.3×	26 0.3×	14	339
Jennifer A. Alexander United States	3	274 0.9×	254 1.5×	59 0.4×	111 1.0×	34 0.4×	5	344
Kelly Miles Australia	7	186 0.6×	129 0.7×	42 0.3×	36 0.3×	90 1.1×	22	298
Lorin Lachs United States	8	286 0.9×	290 1.7×	89 0.6×	64 0.6×	38 0.5×	16	371
Robert Mannell Australia	10	120 0.4×	126 0.7×	40 0.3×	75 0.7×	41 0.5×	18	298
Jennifer Aydelott United Kingdom	10	337 1.1×	138 0.8×	100 0.7×	40 0.4×	74 0.9×	18	380

Countries citing papers authored by Lu‐Feng Shi

Since Specialization

Citations

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

Fields of papers citing papers by Lu‐Feng Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lu‐Feng Shi. 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 Lu‐Feng Shi. The network helps show where Lu‐Feng Shi may publish in the future.

Co-authorship network of co-authors of Lu‐Feng Shi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Grosjean, François, Krista Byers‐Heinlein, Mark Antoniou, et al.. (2018). The Listening Bilingual: Speech Perception, Comprehension, and Bilingualism. 7 indexed citations

Shi, Lu‐Feng & Laura L. Koenig. (2016). Acoustic–Phonetic Versus Lexical Processing in Nonnative Listeners Differing in Their Dominant Language. American Journal of Audiology. 25(3). 167–176. 1 indexed citations

Shi, Lu‐Feng & Laura L. Koenig. (2016). Relative Weighting of Semantic and Syntactic Cues in Native and Non-Native Listeners’ Recognition of English Sentences. Ear and Hearing. 37(4). 424–433. 11 indexed citations

Shi, Lu‐Feng. (2015). English word frequency and recognition in bilinguals: Inter-corpus comparison and error analysis. International Journal of Audiology. 54(10). 674–681. 5 indexed citations

Shi, Lu‐Feng, et al.. (2015). Acceptance Noise Level: Effects of the Speech Signal, Babble, and Listener Language. Journal of Speech Language and Hearing Research. 58(2). 497–508. 6 indexed citations

Shi, Lu‐Feng, et al.. (2014). Psychometric Function for NU-6 Word Recognition in Noise. Ear and Hearing. 35(2). 236–245. 7 indexed citations

Shi, Lu‐Feng & Jindong Tan. (2014). Two-tier target tracking framework in distributed sensor networks. International Journal of Sensor Networks. 16(1). 32–32. 3 indexed citations

Shi, Lu‐Feng. (2014). Lexical effects on recognition of the NU-6 words by monolingual and bilingual listeners. International Journal of Audiology. 53(5). 318–325. 4 indexed citations

Shi, Lu‐Feng. (2014). How “Proficient” Is Proficient? Bilingual Listeners' Recognition of English Words in Noise. American Journal of Audiology. 24(1). 53–65. 13 indexed citations

10.

Shi, Lu‐Feng. (2013). Measuring effectiveness of semantic cues in degraded English sentences in non-native listeners. International Journal of Audiology. 53(1). 30–39. 12 indexed citations

11.

Shi, Lu‐Feng, et al.. (2013). Dialectal Effects on a Clinical Spanish Word Recognition Test. American Journal of Audiology. 22(1). 74–83. 13 indexed citations

12.

Shi, Lu‐Feng. (2013). How “Proficient” Is Proficient? Comparison of English and Relative Proficiency Rating as a Predictor of Bilingual Listeners' Word Recognition. American Journal of Audiology. 22(1). 40–52. 6 indexed citations

13.

Shi, Lu‐Feng, et al.. (2012). Understanding native Russian listeners’ errors on an English word recognition test: Model-based analysis of phoneme confusion. International Journal of Audiology. 51(8). 597–605. 6 indexed citations

14.

Shi, Lu‐Feng. (2011). Contribution of Linguistic Variables to Bilingual Listeners' Perception of Degraded English Sentences. Journal of Speech Language and Hearing Research. 55(1). 219–234. 28 indexed citations

15.

Shi, Lu‐Feng, et al.. (2011). Bilingual Listeners' Perception of Temporally Manipulated English Passages. Journal of Speech Language and Hearing Research. 55(1). 125–138. 17 indexed citations

16.

Shi, Lu‐Feng, et al.. (2010). The role of word familiarity in Spanish/English bilingual word recognition. International Journal of Audiology. 50(2). 66–76. 17 indexed citations

17.

Shi, Lu‐Feng, et al.. (2010). Masking effects of speech and music: Does the masker's hierarchical structure matter?. International Journal of Audiology. 49(4). 296–308. 7 indexed citations

18.

Shi, Lu‐Feng. (2010). Perception of Acoustically Degraded Sentences in Bilingual Listeners Who Differ in Age of English Acquisition. Journal of Speech Language and Hearing Research. 53(4). 821–835. 71 indexed citations

19.

Shi, Lu‐Feng, et al.. (2010). Spanish/English Bilingual Listeners on Clinical Word Recognition Tests: What to Expect and How to Predict. Journal of Speech Language and Hearing Research. 53(5). 1096–1110. 27 indexed citations

20.

Shi, Lu‐Feng. (2009). Normal-hearing English-as-a-second-language listeners’ recognition of English words in competing signals. International Journal of Audiology. 48(5). 260–270. 38 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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