Zeyu Jin

1.0k total citations
41 papers, 493 citations indexed

About

Zeyu Jin is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zeyu Jin has authored 41 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Signal Processing, 20 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zeyu Jin's work include Music and Audio Processing (25 papers), Speech and Audio Processing (23 papers) and Speech Recognition and Synthesis (17 papers). Zeyu Jin is often cited by papers focused on Music and Audio Processing (25 papers), Speech and Audio Processing (23 papers) and Speech Recognition and Synthesis (17 papers). Zeyu Jin collaborates with scholars based in United States, China and South Korea. Zeyu Jin's co-authors include Adam Finkelstein, Jiaqi Su, Gautham J. Mysore, Jingwan Lu, Kaizhi Qian, Mark Hasegawa‐Johnson, Nicholas J. Bryan, Stephen DiVerdi, Emma Frid and Richard Zhang and has published in prestigious journals such as Journal of Neuroscience, Small and ACM Transactions on Graphics.

In The Last Decade

Zeyu Jin

38 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zeyu Jin United States	12	378	253	133	74	29	41	493
Frederic Font Spain	9	346 0.9×	125 0.5×	192 1.4×	72 1.0×	23 0.8×	23	464
Gerard Roma United Kingdom	9	597 1.6×	148 0.6×	384 2.9×	162 2.2×	34 1.2×	53	735
Evandro Gouvêa United States	9	213 0.6×	328 1.3×	86 0.6×	30 0.4×	21 0.7×	17	461
Katunobu Itou Japan	12	362 1.0×	410 1.6×	89 0.7×	38 0.5×	80 2.8×	65	661
Tomoyasu Nakano Japan	14	422 1.1×	242 1.0×	270 2.0×	61 0.8×	4 0.1×	57	544
Zdravko Kačič Slovenia	16	384 1.0×	511 2.0×	106 0.8×	29 0.4×	25 0.9×	79	720
Levent M. Arslan Türkiye	17	657 1.7×	722 2.9×	131 1.0×	29 0.4×	53 1.8×	69	925
W. Verhelst Belgium	7	237 0.6×	117 0.5×	115 0.9×	35 0.5×	41 1.4×	13	320
Om Deshmukh United States	11	204 0.5×	292 1.2×	174 1.3×	38 0.5×	32 1.1×	49	525
Nicholas J. Bryan United States	16	356 0.9×	109 0.4×	230 1.7×	97 1.3×	48 1.7×	32	479

Countries citing papers authored by Zeyu Jin

Since Specialization

Citations

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

Fields of papers citing papers by Zeyu Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zeyu Jin. 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 Zeyu Jin. The network helps show where Zeyu Jin may publish in the future.

Co-authorship network of co-authors of Zeyu Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Zeyu Jin. A scholar is included among the top collaborators of Zeyu Jin 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 Zeyu Jin. Zeyu Jin 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

Chen, Yizhe, Zeyu Jin, Jialin Sun, et al.. (2025). Precise Pt-skin manipulation of strain and ligand effects for oxygen reduction. eScience. 5(5). 100396–100396. 5 indexed citations

Jin, Zeyu, et al.. (2025). Deprotonation effect doubles active site density in Fe-N4-C catalyst for oxygen reduction electrocatalysis. Chinese Chemical Letters. 36(11). 111440–111440. 1 indexed citations

Jin, Zeyu, Yizhe Chen, Jialin Sun, Shiming Zhang, & Jiujun Zhang. (2025). Perceptions of metal-nitrogen-carbon catalysts for oxygen reduction reaction. Materials Science and Engineering R Reports. 165. 101027–101027. 4 indexed citations

Chen, Yizhe, Yuzhou Jiao, Jialin Sun, et al.. (2025). Manipulating Oxygen Reduction Mechanisms of Platinum with Nonmetallic Phosphorus and Metallic Copper Synergistic Alloying. Small. 21(18). e2500795–e2500795.

Anderson, Stephen W., et al.. (2025). SpeakEasy: Enhancing Text-to-Speech Interactions for Expressive Content Creation. ArXiv.org. 1–19. 1 indexed citations

Wang, Yunyun, et al.. (2025). Everyone-Can-Sing: Zero-Shot Singing Voice Synthesis and Conversion with Speech Reference. 1–5.

O’Reilly, Patrick, et al.. (2025). Code Drift: Towards Idempotent Neural Audio Codecs. 1–5. 1 indexed citations

Cai, Jialin, Yizhe Chen, Ruiwen Zhang, et al.. (2024). Interfacial Pt-N coordination for promoting oxygen reduction reaction. Chinese Chemical Letters. 36(2). 110255–110255. 6 indexed citations

Xu, Wei, Bingjiang Lyu, Xiao Ma, et al.. (2024). Decoding the Temporal Structures and Interactions of Multiple Face Dimensions Using Optically Pumped Magnetometer Magnetoencephalography (OPM-MEG). Journal of Neuroscience. 44(47). e2237232024–e2237232024. 1 indexed citations

10.

Yin, Caiyu, et al.. (2024). Effects of Connecting Structures in Double-Hulled Water-Filled Cylindrical Shells on Shock Wave Propagation and the Structural Response to Underwater Explosion. Journal of Marine Science and Engineering. 12(11). 1949–1949. 2 indexed citations

11.

Jin, Zeyu, et al.. (2024). Audiovisual emotion recognition based on bi-layer LSTM and multi-head attention mechanism on RAVDESS dataset. The Journal of Supercomputing. 81(1). 1 indexed citations

12.

Nieto, Oriol, Zeyu Jin, Franck Dernoncourt, & Justin Salamon. (2023). Efficient Spoken Language Recognition via Multilabel Classification. 506–510. 1 indexed citations

13.

Jin, Zeyu, et al.. (2022). Audio Similarity is Unreliable as a Proxy for Audio Quality. Interspeech 2022. 3553–3557. 4 indexed citations

14.

Nieto, Oriol, et al.. (2022). Music Enhancement via Image Translation and Vocoding. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 3124–3128. 7 indexed citations

15.

Su, Jiaqi, Zeyu Jin, & Adam Finkelstein. (2021). HiFi-GAN-2: Studio-Quality Speech Enhancement via Generative Adversarial Networks Conditioned on Acoustic Features. 166–170. 35 indexed citations

16.

Su, Jiaqi, Zeyu Jin, & Adam Finkelstein. (2020). HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks. 4506–4510. 81 indexed citations

17.

Lee, Jongpil, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, & Juhan Nam. (2020). Metric learning vs classification for disentangled music representation learning. Zenodo (CERN European Organization for Nuclear Research). 439–445. 1 indexed citations

18.

Jin, Zeyu, Adam Finkelstein, Gautham J. Mysore, & Jingwan Lu. (2018). Fftnet: A Real-Time Speaker-Dependent Neural Vocoder. 2251–2255. 54 indexed citations

19.

Jin, Zeyu, et al.. (2015). MalLo: A Distributed, Synchronized Instrument for Internet Music Performance. Goldsmiths (University of London). 293–298. 2 indexed citations

20.

Jin, Zeyu & Roger B. Dannenberg. (2013). FORMAL SEMANTICS FOR MUSIC NOTATION CONTROL FLOW. The Journal of the Abraham Lincoln Association. 2013. 4 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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