Zhao Ren

1.7k total citations
64 papers, 1.0k citations indexed

About

Zhao Ren is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Zhao Ren has authored 64 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 19 papers in Signal Processing and 14 papers in Experimental and Cognitive Psychology. Recurrent topics in Zhao Ren's work include Music and Audio Processing (17 papers), Emotion and Mood Recognition (13 papers) and Speech Recognition and Synthesis (13 papers). Zhao Ren is often cited by papers focused on Music and Audio Processing (17 papers), Emotion and Mood Recognition (13 papers) and Speech Recognition and Synthesis (13 papers). Zhao Ren collaborates with scholars based in Germany, United Kingdom and China. Zhao Ren's co-authors include Björn W. Schuller, Zixing Zhang, Kun Qian, Jing Han, Nicholas Cummins, Alice Baird, Muhammed S. Boybay, Vedhas Pandit, Omar M. Ramahi and Yoshiharu Yamamoto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Optics Letters.

In The Last Decade

Zhao Ren

58 papers receiving 979 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhao Ren Germany	19	380	303	248	177	132	64	1.0k
Roneel V. Sharan Australia	16	259 0.7×	129 0.4×	213 0.9×	54 0.3×	93 0.7×	57	767
Ying-Hui Lai Taiwan	17	650 1.7×	357 1.2×	164 0.7×	55 0.3×	33 0.3×	62	1.2k
Christian Heinrich France	14	87 0.2×	128 0.4×	140 0.6×	79 0.4×	169 1.3×	62	1.0k
Ziping Zhao China	22	353 0.9×	422 1.4×	50 0.2×	683 3.9×	103 0.8×	64	1.2k
Abhijit Bhattacharyya India	16	558 1.5×	245 0.8×	81 0.3×	195 1.1×	162 1.2×	37	1.5k
Taufiq Hasan Bangladesh	17	803 2.1×	756 2.5×	137 0.6×	41 0.2×	48 0.4×	51	1.2k
Pedro Gómez‐Vilda Spain	18	720 1.9×	893 2.9×	96 0.4×	314 1.8×	23 0.2×	114	1.6k
Panagiotis Tzirakis United Kingdom	15	492 1.3×	479 1.6×	75 0.3×	824 4.7×	72 0.5×	29	1.4k
Mohamed Hédi Bedoui Tunisia	15	59 0.2×	182 0.6×	55 0.2×	56 0.3×	266 2.0×	124	927
Pablo Casaseca‐de‐la‐Higuera Spain	16	64 0.2×	140 0.5×	158 0.6×	19 0.1×	117 0.9×	63	819

Countries citing papers authored by Zhao Ren

Since Specialization

Citations

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

Fields of papers citing papers by Zhao Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhao Ren

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

Nguyên, Thành Tâm, Thanh Trung Huynh, Zhao Ren, et al.. (2025). A Survey of Machine Unlearning. ACM Transactions on Intelligent Systems and Technology. 16(5). 1–46. 12 indexed citations

Ren, Zhao, et al.. (2025). Enhancing quality inspection of highly variant geared motors. Applied Acoustics. 235. 110687–110687.

Sun, Yanfei, Yuanyuan Zhou, Xinzhou Xu, et al.. (2025). Weakly-Supervised Depression Detection in Speech Through Self-Learning Based Label Correction. IEEE Transactions on Audio Speech and Language Processing. 33. 748–758. 1 indexed citations

Ren, Zhao, et al.. (2024). More than spectrograms: Deep representation learning for machinery fault detection. Applied Acoustics. 225. 110178–110178. 7 indexed citations

Ren, Zhao, et al.. (2024). A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era. IEEE Computational Intelligence Magazine. 19(3). 42–57. 20 indexed citations

Li, Sheng, et al.. (2024). Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion Recognition. 1–7.

Ren, Zhao, Zixing Zhang, Kun Qian, et al.. (2024). STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition. IEEE Transactions on Affective Computing. 16(2). 861–874. 5 indexed citations

Ren, Zhao, et al.. (2023). Cutting Through the Noise: An Empirical Comparison of Psycho-Acoustic and Envelope-based Features for Machinery Fault Detection. 1–5. 2 indexed citations

Nguyen, Thanh Toan, et al.. (2023). 10X Faster Subgraph Matching: Dual Matching Networks with Interleaved Diffusion Attention. Griffith Research Online (Griffith University, Queensland, Australia). 1–9.

10.

Ren, Zhao, Kun Qian, Fengquan Dong, et al.. (2022). Deep attention-based neural networks for explainable heart sound classification. SHILAP Revista de lepidopterología. 9. 100322–100322. 39 indexed citations

11.

Ren, Zhao, et al.. (2022). The Acoustic Dissection of Cough: Diving Into Machine Listening-based COVID-19 Analysis and Detection. Journal of Voice. 38(6). 1264–1277. 10 indexed citations

12.

Ren, Zhao, et al.. (2022). CovNet: A Transfer Learning Framework for Automatic COVID-19 Detection From Crowd-Sourced Cough Sounds. Frontiers in Digital Health. 3. 799067–799067. 19 indexed citations

13.

Qian, Kun, Maximilian Schmitt, Huaiyuan Zheng, et al.. (2021). Computer Audition for Fighting the SARS-CoV-2 Corona Crisis—Introducing the Multitask Speech Corpus for COVID-19. IEEE Internet of Things Journal. 8(21). 16035–16046. 16 indexed citations

14.

Dong, Fengquan, Kun Qian, Zhao Ren, et al.. (2019). Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS—The Heart Sounds Shenzhen Corpus. IEEE Journal of Biomedical and Health Informatics. 24(7). 2082–2092. 38 indexed citations

15.

Schuller, Björn W., Stefan Steidl, Anton Batliner, et al.. (2018). The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats. University of Oulu Repository (University of Oulu). 122–126. 62 indexed citations

16.

Aldhaeebi, Maged A., et al.. (2018). Near Field Breast Tumor Detection Using Ultra-Narrow Band Probe with Machine Learning Techniques. Scientific Reports. 8(1). 12607–12607. 21 indexed citations

17.

Ren, Zhao, et al.. (2014). FLAT FAR FIELD LENSES AND REFLECTORS. Progress In Electromagnetics Research M. 34. 163–170. 16 indexed citations

18.

Ren, Zhao, et al.. (2012). Localization of buried object using Backpropagation Nueral Network. 1–2. 2 indexed citations

19.

Ren, Zhao. (2008). Research on Stereo Viewing Zone in Autostereoscopic Display Based on Parallax Barrier. ACTA PHOTONICA SINICA. 4 indexed citations

20.

Forbes, Peter, et al.. (2008). High-speed, high-resolution Fourier-domain optical coherence tomography system for retinal imaging in the 1060 nm wavelength region. Optics Letters. 33(21). 2479–2479. 40 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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