Gordon Wichern

1.1k total citations
79 papers, 567 citations indexed

About

Gordon Wichern is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gordon Wichern has authored 79 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Signal Processing, 33 papers in Artificial Intelligence and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gordon Wichern's work include Speech and Audio Processing (52 papers), Music and Audio Processing (44 papers) and Speech Recognition and Synthesis (26 papers). Gordon Wichern is often cited by papers focused on Speech and Audio Processing (52 papers), Music and Audio Processing (44 papers) and Speech Recognition and Synthesis (26 papers). Gordon Wichern collaborates with scholars based in United States, Japan and Germany. Gordon Wichern's co-authors include Jonathan Le Roux, Andreas Spanias, Zhong-Qiu Wang, Shinji Watanabe, Jonathan Le Roux, Ankush Chakrabarty, Christopher R. Laughman, John R. Hershey, Takaaki Hori and Aswin Shanmugam Subramanian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy and Buildings and Neurocomputing.

In The Last Decade

Gordon Wichern

66 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gordon Wichern United States 13 396 245 165 74 37 79 567
Naoya Takahashi Japan 9 492 1.2× 253 1.0× 182 1.1× 39 0.5× 37 1.0× 28 620
Tetsuji Ogawa Japan 13 309 0.8× 352 1.4× 112 0.7× 52 0.7× 27 0.7× 98 581
Yuki Mitsufuji Japan 14 724 1.8× 310 1.3× 181 1.1× 151 2.0× 66 1.8× 65 836
Samuele Cornell Italy 11 588 1.5× 485 2.0× 71 0.4× 102 1.4× 45 1.2× 43 730
B. Raj United States 16 843 2.1× 683 2.8× 125 0.8× 181 2.4× 25 0.7× 29 953
Stefan Uhlich Germany 10 383 1.0× 162 0.7× 126 0.8× 60 0.8× 25 0.7× 32 484
Cem Subakan Canada 8 310 0.8× 265 1.1× 53 0.3× 48 0.6× 25 0.7× 18 434
J. Wilpon United States 12 744 1.9× 796 3.2× 177 1.1× 34 0.5× 23 0.6× 31 962
Jianyuan Zhong China 2 250 0.6× 217 0.9× 47 0.3× 40 0.5× 21 0.6× 3 352

Countries citing papers authored by Gordon Wichern

Since Specialization
Citations

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

Fields of papers citing papers by Gordon Wichern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gordon Wichern

This figure shows the co-authorship network connecting the top 25 collaborators of Gordon Wichern. A scholar is included among the top collaborators of Gordon Wichern 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 Gordon Wichern. Gordon Wichern is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wichern, Gordon, et al.. (2025). SMITIN: Self-Monitored Inference-Time INtervention for Generative Music Transformers. IEEE Open Journal of Signal Processing. 6. 266–275.
2.
Park, Young‐Jin, Jing Liu, Ye Wang, et al.. (2025). Probabilistic forecasting for building energy systems using time-series foundation models. Energy and Buildings. 348. 116446–116446.
3.
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5.
Araki, Shoko, Nobutaka Ito, Reinhold Haeb‐Umbach, et al.. (2025). 30+ Years of Source Separation Research: Achievements and Future Challenges. 1–5.
6.
Uhlich, Stefan, Masato Hirano, Shusuke Takahashi, et al.. (2024). The Sound Demixing Challenge 2023 – Cinematic Demixing Track. SHILAP Revista de lepidopterología. 7(1). 44–62. 4 indexed citations
7.
Boeddeker, Christoph, Aswin Shanmugam Subramanian, Gordon Wichern, Reinhold Haeb‐Umbach, & Jonathan Le Roux. (2024). TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 1185–1197. 14 indexed citations
8.
Wichern, Gordon, et al.. (2024). TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement. 205–209. 7 indexed citations
9.
Wang, Ye, Gordon Wichern, Toshiaki Koike‐Akino, et al.. (2023). Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between?. 125–133. 7 indexed citations
10.
Wichern, Gordon, et al.. (2023). Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 2592–2605. 6 indexed citations
11.
Wichern, Gordon, et al.. (2023). Cold Diffusion for Speech Enhancement. 1–5. 27 indexed citations
12.
Wang, Zhong-Qiu, Gordon Wichern, Shinji Watanabe, & Jonathan Le Roux. (2022). STFT-Domain Neural Speech Enhancement With Very Low Algorithmic Latency. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 397–410. 26 indexed citations
13.
Wang, Zhong-Qiu, Gordon Wichern, & Jonathan Le Roux. (2021). Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation. IEEE/ACM Transactions on Audio Speech and Language Processing. 29. 3476–3490. 18 indexed citations
14.
Chakrabarty, Ankush, Gordon Wichern, & Christopher R. Laughman. (2021). ANP-BBO: Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins. arXiv (Cornell University). 1 indexed citations
15.
Wichern, Gordon, et al.. (2020). Learning to Separate Sounds from Weakly Labeled Scenes. 91–95. 7 indexed citations
16.
Roux, Jonathan Le, et al.. (2019). Phasebook and Friends: Leveraging Discrete Representations for Source Separation. IEEE Journal of Selected Topics in Signal Processing. 13(2). 370–382. 40 indexed citations
17.
Hori, Chiori, Takaaki Hori, Gordon Wichern, et al.. (2018). Multimodal Attention for Fusion of Audio and Spatiotemporal Features for Video Description. Computer Vision and Pattern Recognition. 2528–2531. 10 indexed citations
18.
Wichern, Gordon, et al.. (2016). Quantitative Analysis of Masking in Multitrack Mixes Using Loudness Loss. Journal of the Audio Engineering Society.
19.
Wichern, Gordon, et al.. (2015). Comparison of Loudness Features for Automatic Level Adjustment in Mixing. Journal of the Audio Engineering Society. 3 indexed citations
20.
Spanias, Andreas, et al.. (2009). Classification of ion-channel signals using neural networks. International Conference on Signal Processing. 19–22. 6 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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