Yukun Ma
- Artificial Intelligence top 1%
- Speech Recognition and Synthesis 13
- Topic Modeling 12
- Natural Language Processing Techniques 8
- Sentiment Analysis and Opinion Mining 6
- Signal Processing top 5%
- Speech and Audio Processing 9
- Music and Audio Processing 8
- Biometric Identification and Security 7
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- Face recognition and analysis 7
- Finance top 5%
- Co-authors
- Erik CambriaHaiyun PengTahir Abbas KhanAmir HussainSimone MerelloLuca OnetoYang LiFrank Xing
- Journals
- Scientific Reports (1 paper)Expert Systems with Applications (1 paper)IEEE Access (3 papers)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Yukun Ma
42 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 1.2k
- Management Science and Operations Research 241
- Signal Processing 158
- Computer Vision and Pattern Recognition 216
- Finance 91
Countries citing papers authored by Yukun Ma
This map shows the geographic impact of Yukun Ma'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 Yukun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukun Ma more than expected).
Fields of papers citing papers by Yukun Ma
This network shows the impact of papers produced by Yukun Ma. 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 Yukun Ma. The network helps show where Yukun Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yukun Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 13 | |
| 8 | 2020 | 147 | |
| 9 | 2020 | 23 | |
| 10 | 2020 | 7 | |
| 11 | Technical analysis and sentiment embeddings for market trend predictionbreakdown → | 2019 | 202 |
| 12 | Towards Improving Generalization of Deep Networks via Consistent Normalization. | 2019 | 2 |
| 13 | 2019 | 21 | |
| 14 | 2018 | 76 | |
| 15 | Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTMbreakdown → | 2018 | 430 |
| 16 | 2018 | 7 | |
| 17 | 2018 | 127 | |
| 18 | Label Embedding for Zero-shot Fine-grained Named Entity Typing. | 2016 | 76 |
| 19 | Term Ranker: A Graph-Based Re-Ranking Approach. | 2016 | 9 |
| 20 | 2016 | 6 |
About Yukun Ma
Yukun Ma is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (13 papers), Topic Modeling (12 papers), Speech and Audio Processing (9 papers), Music and Audio Processing (8 papers), Natural Language Processing Techniques (8 papers), Biometric Identification and Security (7 papers), Face recognition and analysis (7 papers) and Sentiment Analysis and Opinion Mining (6 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Management Science and Operations Research (241 citations) and Signal Processing (158 citations). Yukun Ma has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Erik Cambria, Haiyun Peng, Tahir Abbas Khan, Amir Hussain, Simone Merello, Luca Oneto, Yang Li, Frank Xing, Lifang Wu and Zhou Yang. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.
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.