Jesper Jensen

9.2k total citations · 5 hit papers
157 papers, 6.2k citations indexed

About

Jesper Jensen is a scholar working on Signal Processing, Computational Mechanics and Cognitive Neuroscience. According to data from OpenAlex, Jesper Jensen has authored 157 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Signal Processing, 87 papers in Computational Mechanics and 60 papers in Cognitive Neuroscience. Recurrent topics in Jesper Jensen's work include Speech and Audio Processing (139 papers), Advanced Adaptive Filtering Techniques (87 papers) and Hearing Loss and Rehabilitation (60 papers). Jesper Jensen is often cited by papers focused on Speech and Audio Processing (139 papers), Advanced Adaptive Filtering Techniques (87 papers) and Hearing Loss and Rehabilitation (60 papers). Jesper Jensen collaborates with scholars based in Denmark, Netherlands and United States. Jesper Jensen's co-authors include Cees Taal, Richard Heusdens, Richard C. Hendriks, Zheng‐Hua Tan, Morten Kolbæk, Dong Yu, Søren Holdt Jensen, J.S. Erkelens, Meng Guo and Jan Mark de Haan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Jesper Jensen

148 papers receiving 5.8k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech

2011 1.5k citations Richard C. Hendriks, Richard Heusdens et al. profile →
A short-time objective intelligibility measure for time-frequency weighted noisy speech

2010 648 citations Richard C. Hendriks, Richard Heusdens et al. profile →
Permutation invariant training of deep models for speaker-independent multi-talker speech separation

2017 541 citations Dong Yu, Morten Kolbæk et al. VBN Forskningsportal (Aalborg Universitet) profile →
Multitalker Speech Separation With Utterance-Level Permutation Invariant Training of Deep Recurrent Neural Networks

2017 533 citations Morten Kolbæk, Dong Yu et al. IEEE/ACM Transactions on Audio Speech and Language Processing profile →
An Algorithm for Predicting the Intelligibility of Speech Masked by Modulated Noise Maskers

2016 380 citations Jesper Jensen et al. IEEE/ACM Transactions on Audio Speech and Language Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jesper Jensen Denmark	30	5.6k	2.5k	2.3k	1.8k	594	157	6.2k
Nam Soo Kim South Korea	23	2.3k 0.4×	991 0.4×	1.3k 0.6×	267 0.1×	113 0.2×	181	2.8k
Shoko Araki Japan	35	4.3k 0.8×	2.3k 0.9×	1.2k 0.5×	330 0.2×	140 0.2×	219	4.7k
Takuya Yoshioka Japan	33	4.7k 0.8×	1.4k 0.6×	3.3k 1.4×	542 0.3×	234 0.4×	150	5.3k
Ivan Tashev United States	21	1.5k 0.3×	375 0.1×	807 0.3×	340 0.2×	176 0.3×	112	2.2k
Shigeki Sagayama Japan	28	2.3k 0.4×	497 0.2×	1.1k 0.5×	243 0.1×	80 0.1×	243	3.0k
Anssi Klapuri Finland	35	3.9k 0.7×	248 0.1×	513 0.2×	674 0.4×	70 0.1×	85	4.2k
Iain McCowan Switzerland	27	1.4k 0.3×	477 0.2×	1.2k 0.5×	152 0.1×	207 0.3×	60	2.3k
Maurizio Omologo Italy	24	1.8k 0.3×	601 0.2×	889 0.4×	126 0.1×	101 0.2×	119	2.2k
S. R. Mahadeva Prasanna India	28	2.3k 0.4×	194 0.1×	2.1k 0.9×	115 0.1×	99 0.2×	290	3.1k
Lei Xie China	33	2.7k 0.5×	300 0.1×	3.2k 1.4×	157 0.1×	60 0.1×	334	4.4k

Countries citing papers authored by Jesper Jensen

Since Specialization

Citations

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

Fields of papers citing papers by Jesper Jensen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesper Jensen

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

Jensen, Jesper, et al.. (2025). Hearing-Loss Compensation Using Deep Neural Networks: A Framework and Results From a Listening Test. IEEE Transactions on Audio Speech and Language Processing. 33. 828–841.

Jensen, Jesper, et al.. (2024). Low-Latency Deep Analog Speech Transmission Using Joint Source Channel Coding. IEEE Journal of Selected Topics in Signal Processing. 18(8). 1401–1413.

Tan, Zheng‐Hua, et al.. (2024). Joint Far- and Near-End Speech and Listening Enhancement With Minimum Processing. IEEE Access. 12. 119983–120004.

Jensen, Jesper, et al.. (2024). How to Train Your Ears: Auditory-Model Emulation for Large-Dynamic-Range Inputs and Mild-to-Severe Hearing Losses. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 2006–2020.

Jensen, Jesper, et al.. (2023). Minimum Processing Near-End Listening Enhancement. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 2233–2245. 4 indexed citations

Žmolíková, Kateřina, Michael Syskind Pedersen, & Jesper Jensen. (2023). Masked Spectrogram Prediction for Unsupervised Domain Adaptation in Speech Enhancement. IEEE Open Journal of Signal Processing. 5. 274–283. 3 indexed citations

Jensen, Søren Holdt, et al.. (2023). Data-Driven Non-Intrusive Speech Intelligibility Prediction Using Speech Presence Probability. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 55–67. 1 indexed citations

Haan, Jan Mark de, et al.. (2022). Multichannel Speech Enhancement With Own Voice-Based Interfering Speech Suppression for Hearing Assistive Devices. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 706–720. 6 indexed citations

Tan, Zheng‐Hua, et al.. (2022). The Minimum Overlap-Gap Algorithm for Speech Enhancement. IEEE Access. 10. 14698–14716. 3 indexed citations

10.

Pedersen, Michael Syskind, et al.. (2021). Minimum Processing Beamforming. IEEE/ACM Transactions on Audio Speech and Language Processing. 29. 2710–2724. 3 indexed citations

11.

Tan, Zheng‐Hua, et al.. (2021). A Novel Loss Function and Training Strategy for Noise-Robust Keyword Spotting. IEEE/ACM Transactions on Audio Speech and Language Processing. 29. 2254–2266. 17 indexed citations

12.

Chan, Wai-Yip, et al.. (2020). Speech Intelligibility Prediction Using Spectro-Temporal Modulation Analysis. IEEE/ACM Transactions on Audio Speech and Language Processing. 29. 210–225. 15 indexed citations

13.

Tan, Zheng‐Hua, et al.. (2020). Improved External Speaker-Robust Keyword Spotting for Hearing Assistive Devices. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 1233–1247. 14 indexed citations

14.

Martín-Doñas, Juan M., Jesper Jensen, Zheng‐Hua Tan, Ángel M. Gómez, & Antonio M. Peinado. (2020). Online Multichannel Speech Enhancement Based on Recursive EM and DNN-Based Speech Presence Estimation. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 3080–3094. 11 indexed citations

15.

Hendriks, Richard C., et al.. (2019). Rate-Constrained Noise Reduction in Wireless Acoustic Sensor Networks. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 1–12. 6 indexed citations

16.

Braun, Sebastian, Ofer Schwartz, Oliver Thiergart, et al.. (2018). Evaluation and Comparison of Late Reverberation Power Spectral Density Estimators. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(6). 1056–1071. 53 indexed citations

17.

Pedersen, Michael Syskind, et al.. (2018). Bias-Compensated Informed Sound Source Localization Using Relative Transfer Functions. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(7). 1275–1289. 6 indexed citations

18.

Kolbæk, Morten, Dong Yu, Zheng‐Hua Tan, & Jesper Jensen. (2017). Multi-talker Speech Separation and Tracing with Permutation Invariant Training of Deep Recurrent Neural Networks.. arXiv (Cornell University). 9 indexed citations

19.

Hendriks, Richard C., et al.. (2016). On the Impact of Quantization on Binaural MVDR Beamforming. Research Repository (Delft University of Technology). 1–5. 5 indexed citations

20.

Guo, Meng, et al.. (2011). Comparison of multiple-microphone and single-loudspeaker adaptive feedback/echo cancellation systems. VBN Forskningsportal (Aalborg Universitet). 1279–1283. 3 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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