Kun Zhou

775 total citations
20 papers, 408 citations indexed

About

Kun Zhou is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Kun Zhou has authored 20 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 12 papers in Signal Processing and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Kun Zhou's work include Speech Recognition and Synthesis (15 papers), Speech and Audio Processing (12 papers) and Music and Audio Processing (7 papers). Kun Zhou is often cited by papers focused on Speech Recognition and Synthesis (15 papers), Speech and Audio Processing (12 papers) and Music and Audio Processing (7 papers). Kun Zhou collaborates with scholars based in Singapore, China and Germany. Kun Zhou's co-authors include Haizhou Li, Berrak Şişman, Rui Liu, Rui Liu, Björn W. Schuller, Rajib Rana, Shuai Wang, Andreas Triantafyllopoulos, Xin Jing and Dianwen Ng and has published in prestigious journals such as Advanced Science, Speech Communication and IEEE Transactions on Affective Computing.

In The Last Decade

Kun Zhou

16 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kun Zhou Singapore	9	314	228	97	37	22	20	408
Po-Han Chi Taiwan	2	439 1.4×	293 1.3×	69 0.7×	42 1.1×	15 0.7×	3	527
Thomas Merritt United Kingdom	9	258 0.8×	191 0.8×	43 0.4×	35 0.9×	14 0.6×	25	328
Oytun Türk Türkiye	11	246 0.8×	179 0.8×	71 0.7×	30 0.8×	15 0.7×	24	292
Ganesh Sivaraman United States	10	265 0.8×	242 1.1×	100 1.0×	62 1.7×	18 0.8×	21	352
Esther Klabbers United States	12	363 1.2×	218 1.0×	177 1.8×	46 1.2×	10 0.5×	36	454
Alexis Moinet Belgium	10	255 0.8×	218 1.0×	80 0.8×	60 1.6×	26 1.2×	31	335
Yusuke Ijima Japan	10	386 1.2×	295 1.3×	65 0.7×	28 0.8×	15 0.7×	59	452
Ellen Eide United States	14	597 1.9×	423 1.9×	127 1.3×	46 1.2×	16 0.7×	28	656
Yist Y. Lin Taiwan	4	410 1.3×	286 1.3×	59 0.6×	27 0.7×	15 0.7×	5	472
Da-Rong Liu Taiwan	7	440 1.4×	300 1.3×	61 0.6×	24 0.6×	14 0.6×	9	508

Countries citing papers authored by Kun Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Kun Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Zhou

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

Zhou, Kun, et al.. (2025). Hierarchical Control of Emotion Rendering in Speech Synthesis. IEEE Transactions on Affective Computing. 16(4). 3316–3328. 1 indexed citations

Jing, Xin, Kun Zhou, Andreas Triantafyllopoulos, & Björn W. Schuller. (2025). Enhancing Emotional Text-to-Speech Controllability with Natural Language Guidance through Contrastive Learning and Diffusion Models. 1–5. 2 indexed citations

Zhao, Shengkui, et al.. (2025). Conditional Latent Diffusion-Based Speech Enhancement via Dual Context Learning. 1–5. 1 indexed citations

Wang, Wei, Zhening Liu, Mengjun Li, et al.. (2025). AIEgen‐Based Proactive Early Warning System and Precise Treatment Strategy for Monkeypox Prevention and Control. Advanced Science. 13(9). e15865–e15865.

Zhou, Kun, et al.. (2025). Quantum state engineering in three-level systems via Lewis-Riesenfeld invariants. Physical review. A. 111(1).

Zhou, Kun, et al.. (2024). Converting Anyone's Voice: End-to-End Expressive Voice Conversion with A Conditional Diffusion Model. 172–179.

Zhou, Kun, et al.. (2024). Fine-Grained Quantitative Emotion Editing for Speech Generation. 1–6. 4 indexed citations

Zhou, Kun, Shengkui Zhao, Hao Wang, et al.. (2024). Phonetic Enhanced Language Modeling for Text-to-Speech Synthesis. 3440–3444. 1 indexed citations

Zhou, Kun, et al.. (2024). Hierarchical Emotion Prediction and Control in Text-to-Speech Synthesis. arXiv (Cornell University). 10601–10605. 7 indexed citations

10.

Şişman, Berrak, et al.. (2022). Disentanglement of Emotional Style and Speaker Identity for Expressive Voice Conversion. Interspeech 2022. 2603–2607. 18 indexed citations

11.

Zhou, Kun, Berrak Şişman, Rajib Rana, Björn W. Schuller, & Haizhou Li. (2022). Emotion Intensity and its Control for Emotional Voice Conversion. IEEE Transactions on Affective Computing. 14(1). 31–48. 46 indexed citations

12.

Zhou, Kun, Berrak Şişman, Rajib Rana, Björn W. Schuller, & Haizhou Li. (2022). Speech Synthesis With Mixed Emotions. IEEE Transactions on Affective Computing. 14(4). 3120–3134. 25 indexed citations

13.

Zhou, Kun, Berrak Şişman, Rui Liu, & Haizhou Li. (2021). Seen and Unseen Emotional Style Transfer for Voice Conversion with A New Emotional Speech Dataset. 920–924. 108 indexed citations

14.

Zhou, Kun, Berrak Şişman, Rui Liu, & Haizhou Li. (2021). Emotional voice conversion: Theory, databases and ESD. Speech Communication. 137. 1–18. 80 indexed citations

15.

Şişman, Berrak, et al.. (2021). Expressive Voice Conversion: A Joint Framework for Speaker Identity and Emotional Style Transfer. 594–601. 12 indexed citations

16.

Zhou, Kun, Berrak Şişman, & Haizhou Li. (2021). Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-Stage Sequence-to-Sequence Training. 811–815. 17 indexed citations

17.

Zhou, Kun, et al.. (2020). Converting Anyone’s Emotion: Towards Speaker-Independent Emotional Voice Conversion. 3416–3420. 35 indexed citations

18.

Zhou, Kun, et al.. (2020). VAW-GAN for Singing Voice Conversion with Non-parallel Training Data. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 514–519. 1 indexed citations

19.

Zhou, Kun, Berrak Şişman, & Haizhou Li. (2020). Transforming Spectrum and Prosody for Emotional Voice Conversion with Non-Parallel Training Data. 49 indexed citations

20.

Zhou, Kun, et al.. (2010). Models of Agriculture Risk Management with Agriculture Ontology. Advanced materials research. 129-131. 743–747. 1 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.

Explore authors with similar magnitude of impact