Dianwen Ng

436 total citations
23 papers, 258 citations indexed

About

Dianwen Ng is a scholar working on Artificial Intelligence, Signal Processing and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dianwen Ng has authored 23 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 12 papers in Signal Processing and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dianwen Ng's work include Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (12 papers) and Music and Audio Processing (7 papers). Dianwen Ng is often cited by papers focused on Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (12 papers) and Music and Audio Processing (7 papers). Dianwen Ng collaborates with scholars based in Singapore, China and United States. Dianwen Ng's co-authors include Mengling Feng, Xiang Lan, Wing P. Chan, Eng Siong Chng, Qiang Fu, Shenda Hong, Biao Tian, Bin Ma, Soon Yiew Sia and Chongjia Ni and has published in prestigious journals such as Academic Radiology, Radiology Artificial Intelligence and Quantitative Imaging in Medicine and Surgery.

In The Last Decade

Dianwen Ng

20 papers receiving 250 citations

Peers

Dianwen Ng

AI

RNMI

SP

CVPR

HI

David Dov Israel

Tarik Alafif Saudi Arabia

Parisa Gifani Iran

Yujia Xu United Kingdom

Rohit Joshi United States

Pedro Silva Brazil

Loc Trinh United States

David A. Mong United States

Navid Hoseini Izadi Iran

Kranthi Kumar Lella India

David Dov Israel

Dianwen Ng

152 ×1.0

AI

158 ×1.9

RNMI

99 ×1.8

SP

42 ×1.3

CVPR

38 ×1.3

HI

Citations per year, relative to Dianwen Ng Dianwen Ng (= 1×) peers David Dov

Countries citing papers authored by Dianwen Ng

Since Specialization

Citations

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

Fields of papers citing papers by Dianwen Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dianwen Ng

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

1.

Ng, Dianwen, et al.. (2024). Noise Robust Distillation of Self-Supervised Speech Models via Correlation Metrics. 33. 495–499. 1 indexed citations

2.

Ng, Dianwen, Chong Zhang, Yukun Ma, et al.. (2024). Are Soft Prompts Good Zero-Shot Learners for Speech Recognition?. 10366–10370.

3.

Ng, Dianwen, et al.. (2024). Dataset-Distillation Generative Model for Speech Emotion Recognition. 2640–2644. 1 indexed citations

4.

Zhao, Shengkui, Yukun Ma, Chongjia Ni, et al.. (2024). MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation. 10356–10360. 12 indexed citations

5.

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

6.

Zhao, Shengkui, Yukun Ma, Chongjia Ni, et al.. (2024). SPGM: Prioritizing Local Features for Enhanced Speech Separation Performance. 326–330. 3 indexed citations

7.

Ng, Dianwen, Chong Zhang, Chongjia Ni, et al.. (2023). ACA-Net: Towards Lightweight Speaker Verification using Asymmetric Cross Attention. 1938–1942. 3 indexed citations

8.

Ng, Dianwen, Chong Zhang, Chongjia Ni, et al.. (2023). Adapter-tuning with Effective Token-dependent Representation Shift for Automatic Speech Recognition. 1319–1323. 2 indexed citations

9.

Yang, Zhao, Dianwen Ng, Chong Zhang, et al.. (2023). Dual Acoustic Linguistic Self-supervised Representation Learning for Cross-Domain Speech Recognition. 72–76. 1 indexed citations

10.

Ng, Dianwen, Xizhe Li, Chong Zhang, et al.. (2023). Dual-Memory Multi-Modal Learning for Continual Spoken Keyword Spotting with Confidence Selection and Diversity Enhancement. 3774–3778. 2 indexed citations

11.

Ni, Jinjie, Yukun Ma, Wen Wang, et al.. (2023). Adaptive Knowledge Distillation Between Text and Speech Pre-Trained Models. 1–5.

12.

Ng, Dianwen, Zhao Yang, Jinjie Ni, et al.. (2023). De’hubert: Disentangling Noise in a Self-Supervised Model for Robust Speech Recognition. 1–5. 8 indexed citations

13.

Ng, Dianwen, et al.. (2022). Convmixer: Feature Interactive Convolution with Curriculum Learning for Small Footprint and Noisy Far-Field Keyword Spotting. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 3603–3607. 32 indexed citations

14.

Lan, Xiang, Dianwen Ng, Shenda Hong, & Mengling Feng. (2022). Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals. Proceedings of the AAAI Conference on Artificial Intelligence. 36(4). 4532–4540. 26 indexed citations

15.

Ng, Dianwen, Zhao Yang, Chong Zhang, et al.. (2022). I2CR: Improving Noise Robustness on Keyword Spotting using Inter-Intra Contrastive Regularization. 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). 605–611. 5 indexed citations

16.

Thian, Yee Liang, Dianwen Ng, James Thomas Patrick Decourcy Hallinan, et al.. (2021). Deep Learning Systems for Pneumothorax Detection on Chest Radiographs: A Multicenter External Validation Study. Radiology Artificial Intelligence. 3(4). e200190–e200190. 30 indexed citations

17.

Ng, Dianwen, et al.. (2021). Today’s radiologists meet tomorrow’s AI: the promises, pitfalls, and unbridled potential. Quantitative Imaging in Medicine and Surgery. 11(6). 2775–2779. 11 indexed citations

18.

Hallinan, James Thomas Patrick Decourcy, Mengling Feng, Dianwen Ng, et al.. (2021). Detection of Pneumothorax with Deep Learning Models: Learning From Radiologist Labels vs Natural Language Processing Model Generated Labels. Academic Radiology. 29(9). 1350–1358. 8 indexed citations

19.

Lan, Xiang, et al.. (2021). Adversarial Domain Adaptation with Correlation-Based Association Networks for Longitudinal Disk Fault Prediction. 27. 1–8.

20.

Ng, Dianwen, et al.. (2020). Federated learning: a collaborative effort to achieve better medical imaging models for individual sites that have small labelled datasets. Quantitative Imaging in Medicine and Surgery. 11(2). 852–857. 98 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