Heinrich Dinkel

951 total citations
30 papers, 439 citations indexed

About

Heinrich Dinkel is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Heinrich Dinkel has authored 30 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Signal Processing, 21 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Heinrich Dinkel's work include Speech and Audio Processing (21 papers), Music and Audio Processing (21 papers) and Speech Recognition and Synthesis (16 papers). Heinrich Dinkel is often cited by papers focused on Speech and Audio Processing (21 papers), Music and Audio Processing (21 papers) and Speech Recognition and Synthesis (16 papers). Heinrich Dinkel collaborates with scholars based in China, Switzerland and India. Heinrich Dinkel's co-authors include Kai Yu, Yanmin Qian, Mengyue Wu, Nanxin Chen, Xuenan Xu, Zhizheng Wu, Yujun Wang, Yongqing Wang, Junbo Zhang and Hongji Wang and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and arXiv (Cornell University).

In The Last Decade

Heinrich Dinkel

30 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heinrich Dinkel China	12	384	317	100	22	15	30	439
Piotr Żelasko United States	9	197 0.5×	249 0.8×	44 0.4×	24 1.1×	9 0.6×	33	334
M. A. Anusuya India	6	179 0.5×	214 0.7×	39 0.4×	18 0.8×	8 0.5×	22	299
Rosa González Hautamäki Finland	9	278 0.7×	276 0.9×	40 0.4×	28 1.3×	15 1.0×	15	323
Simon Bozonnet France	7	394 1.0×	384 1.2×	59 0.6×	8 0.4×	5 0.3×	10	490
Téva Merlin France	7	548 1.4×	573 1.8×	118 1.2×	13 0.6×	10 0.7×	16	706
Anthony Larcher France	12	825 2.1×	776 2.4×	195 1.9×	28 1.3×	9 0.6×	34	967
Rob Clark United States	7	327 0.9×	479 1.5×	64 0.6×	15 0.7×	3 0.2×	11	565
Qiantong Xu Israel	7	311 0.8×	643 2.0×	80 0.8×	26 1.2×	3 0.2×	12	730
Xingyu Na China	5	671 1.7×	902 2.8×	63 0.6×	25 1.1×	5 0.3×	12	968
Leibny Paola Garcia United States	15	565 1.5×	696 2.2×	32 0.3×	11 0.5×	5 0.3×	70	762

Countries citing papers authored by Heinrich Dinkel

Since Specialization

Citations

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

Fields of papers citing papers by Heinrich Dinkel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heinrich Dinkel

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

Dinkel, Heinrich, Zhiyong Yan, Yongqing Wang, et al.. (2024). Streaming Audio Transformers for Online Audio Tagging. 1145–1149. 2 indexed citations

Dinkel, Heinrich, et al.. (2024). Scaling up masked audio encoder learning for general audio classification. 547–551. 1 indexed citations

Dinkel, Heinrich, Yongqing Wang, Zhiyong Yan, Junbo Zhang, & Yujun Wang. (2023). Unified Keyword Spotting and Audio Tagging on Mobile Devices with Transformers. 30. 1–5. 3 indexed citations

Dinkel, Heinrich. (2023). CED: Consistent ensemble distillation for audio tagging. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Dinkel, Heinrich, Yongqing Wang, Zhiyong Yan, Junbo Zhang, & Yujun Wang. (2022). UniKW-AT: Unified Keyword Spotting and Audio Tagging. Interspeech 2022. 3238–3242. 2 indexed citations

Dinkel, Heinrich, et al.. (2022). Pseudo Strong Labels for Large Scale Weakly Supervised Audio Tagging. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 336–340. 3 indexed citations

Xu, Xuenan, et al.. (2022). Category-Adapted Sound Event Enhancement with Weakly Labeled Data. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 851–855. 2 indexed citations

Xu, Xuenan, Heinrich Dinkel, Mengyue Wu, & Kai Yu. (2021). Text-to-Audio Grounding: Building Correspondence Between Captions and Sound Events. 606–610. 13 indexed citations

Xu, Xuenan, Heinrich Dinkel, Mengyue Wu, & Kai Yu. (2021). Audio Caption in a Car Setting with a Sentence-Level Loss. 1–5. 10 indexed citations

10.

Xu, Xuenan, Heinrich Dinkel, Mengyue Wu, & Kai Yu. (2021). A Lightweight Framework for Online Voice Activity Detection in the Wild. 371–375. 2 indexed citations

11.

Dinkel, Heinrich, et al.. (2020). Voice Activity Detection in the Wild via Weakly Supervised Sound Event Detection. 3665–3669. 11 indexed citations

12.

Dinkel, Heinrich, et al.. (2020). Voice Activity Detection in the Wild via Weakly Supervised Sound Event Detection. 3665–3669. 7 indexed citations

13.

Wang, Hongji, Heinrich Dinkel, Shuai Wang, Yanmin Qian, & Kai Yu. (2020). Dual-Adversarial Domain Adaptation for Generalized Replay Attack Detection. 1086–1090. 6 indexed citations

14.

Wang, Hongji, et al.. (2019). The SJTU Robust Anti-Spoofing System for the ASVspoof 2019 Challenge. 1038–1042. 34 indexed citations

15.

Dinkel, Heinrich, Mengyue Wu, & Kai Yu. (2019). Text-based Depression Detection: What Triggers An Alert. arXiv (Cornell University). 10 indexed citations

16.

Wu, Mengyue, Heinrich Dinkel, & Kai Yu. (2019). Audio Caption: Listen and Tell. arXiv (Cornell University). 830–834. 23 indexed citations

17.

Qian, Yanmin, Nanxin Chen, Heinrich Dinkel, & Zhizheng Wu. (2017). Deep Feature Engineering for Noise Robust Spoofing Detection. IEEE/ACM Transactions on Audio Speech and Language Processing. 25(10). 1942–1955. 28 indexed citations

18.

Dinkel, Heinrich, Yanmin Qian, & Kai Yu. (2017). Small-footprint convolutional neural network for spoofing detection. 4. 3086–3091. 3 indexed citations

19.

Korshunov, Pavel, Sébastien Marcel, Hannah Muckenhirn, et al.. (2016). Overview of BTAS 2016 speaker anti-spoofing competition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 54 indexed citations

20.

Chen, Nanxin, et al.. (2015). Robust deep feature for spoofing detection — the SJTU system for ASVspoof 2015 challenge. 57 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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