Fuming Fang

1.3k total citations · 1 hit paper
16 papers, 632 citations indexed

About

Fuming Fang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Fuming Fang has authored 16 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Fuming Fang's work include Speech and Audio Processing (5 papers), Music and Audio Processing (5 papers) and Speech Recognition and Synthesis (5 papers). Fuming Fang is often cited by papers focused on Speech and Audio Processing (5 papers), Music and Audio Processing (5 papers) and Speech Recognition and Synthesis (5 papers). Fuming Fang collaborates with scholars based in Japan, United States and China. Fuming Fang's co-authors include Junichi Yamagishi, Isao Echizen, Huy H. Nguyen, Xin Wang, Takahiro Shinozaki, Nanxin Chen, Yusuke Yasuda, Cheng-I Lai, Erica Cooper and Jean-François Bonastre and has published in prestigious journals such as PLoS ONE, Computational Intelligence and Neuroscience and IEICE Transactions on Information and Systems.

In The Last Decade

Fuming Fang

16 papers receiving 607 citations

Hit Papers

Multi-task Learning for Detecting and Segmenting Manipula... 2019 2026 2021 2023 2019 100 200 300

Peers

Fuming Fang
Mouldi Bedda Algeria
Zhaojiang Lin Hong Kong
Hank Liao United States
Harriet J. Nock United States
Fuming Fang
Citations per year, relative to Fuming Fang Fuming Fang (= 1×) peers Jakub Gałka

Countries citing papers authored by Fuming Fang

Since Specialization
Citations

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

Fields of papers citing papers by Fuming Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuming Fang

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

All Works

16 of 16 papers shown
1.
Lu, Lu, Fuming Fang, Lei Zhu, et al.. (2021). An End-to-End Far-Field Keyword Spotting System with Neural Beamforming. 892–899. 3 indexed citations
2.
Cooper, Erica, Cheng-I Lai, Yusuke Yasuda, et al.. (2020). Zero-Shot Multi-Speaker Text-To-Speech with State-Of-The-Art Neural Speaker Embeddings. 6184–6188. 98 indexed citations
3.
Babaguchi, Noboru, Isao Echizen, Junichi Yamagishi, et al.. (2020). Preventing Fake Information Generation Against Media Clone Attacks. IEICE Transactions on Information and Systems. E104.D(1). 2–11. 3 indexed citations
4.
Echizen, Isao, Noboru Babaguchi, Junichi Yamagishi, et al.. (2020). Generation and Detection of Media Clones. IEICE Transactions on Information and Systems. E104.D(1). 12–23. 5 indexed citations
5.
Fang, Fuming, et al.. (2020). Security of Facial Forensics Models Against Adversarial Attacks. 2236–2240. 5 indexed citations
6.
Fang, Fuming, et al.. (2020). A Method for Identifying Origin of Digital Images Using a Convolutional Neural Network. 1293–1299. 5 indexed citations
7.
Nguyen, Huy H., Fuming Fang, Junichi Yamagishi, & Isao Echizen. (2019). Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos. Edinburgh Research Explorer. 1–8. 325 indexed citations breakdown →
8.
Fang, Fuming, Xin Wang, Junichi Yamagishi, et al.. (2019). Speaker Anonymization Using X-vector and Neural Waveform Models. 155–160. 79 indexed citations
10.
Nguyen, Huy H., et al.. (2019). An RGB Gait Anonymization Model for Low-Quality Silhouettes. 1686–1693. 6 indexed citations
11.
Fang, Fuming, Xin Wang, Junichi Yamagishi, & Isao Echizen. (2019). Audiovisual Speaker Conversion: Jointly and Simultaneously Transforming Facial Expression and Acoustic Characteristics. Edinburgh Research Explorer. 6795–6799. 5 indexed citations
12.
Fang, Fuming & Takahiro Shinozaki. (2018). Electrooculography-based continuous eye-writing recognition system for efficient assistive communication systems. PLoS ONE. 13(2). e0192684–e0192684. 43 indexed citations
13.
Yoshioka, Takuya, Katsunori Ohnishi, Fuming Fang, & Tomohiro Nakatani. (2016). Noise robust speech recognition using recent developments in neural networks for computer vision. 5730–5734. 16 indexed citations
14.
Fang, Fuming, Takahiro Shinozaki, Yasuo Horiuchi, et al.. (2016). Improving Eye Motion Sequence Recognition Using Electrooculography Based on Context-Dependent HMM. Computational Intelligence and Neuroscience. 2016. 1–9. 4 indexed citations
15.
Fang, Fuming, Takahiro Shinozaki, & Takao Kobayashi. (2014). An automatic input protocol recommendation method for tailored switch-to-speech communication aid systems. 112. 1–7. 2 indexed citations
16.
Fang, Fuming, et al.. (2012). HMM based continuous EOG recognition for eye-input speech interface. 735–738. 4 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

Rankless by CCL
2026