Yujun Wang
- Signal Processing top 5%
- Music and Audio Processing 13
- Speech and Audio Processing 10
- Ecological Modeling top 10%
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis 10
-
- Conservation, Biodiversity, and Resource Management 5
-
- Neuropeptides and Animal Physiology 5
- Neurotransmitter Receptor Influence on Behavior 4
-
- Receptor Mechanisms and Signaling 4
-
- Economic and Environmental Valuation 3
- Co-authors
- Junbo ZhangChanghao ShanLei XieJindong ZhangHongbo YangQiongyu HuangJie‐Hua ChenYucheng Chen
- Journals
- Biological Conservation (2 papers)Cell Reports (1 paper)European Journal of Pharmacology (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Yujun Wang
35 papers receiving 461 citations
Peers
Comparison fields: 5 of 103
- Signal Processing 128
- Ecological Modeling 33
- Artificial Intelligence 167
- Behavioral Neuroscience 16
- Developmental Biology 9
Countries citing papers authored by Yujun Wang
This map shows the geographic impact of Yujun Wang'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 Yujun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yujun Wang more than expected).
Fields of papers citing papers by Yujun Wang
This network shows the impact of papers produced by Yujun Wang. 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 Yujun Wang. The network helps show where Yujun Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yujun Wang, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 4 | |
| 10 | 2021 | 20 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 33 | |
| 13 | 2021 | 17 | |
| 14 | 2021 | 16 | |
| 15 | 2020 | 65 | |
| 16 | 2019 | 0 | |
| 17 | 2018 | 64 | |
| 18 | 2018 | 45 | |
| 19 | Attention-Based End-to-End Speech Recognition in Mandarin. | 2017 | 4 |
| 20 | 2005 | 29 |
About Yujun Wang
Yujun Wang is a scholar working on Signal Processing, Ecological Modeling and Artificial Intelligence, having authored 37 papers that have together received 480 indexed citations. Recurring topics across this work include Music and Audio Processing (13 papers), Speech and Audio Processing (10 papers), Speech Recognition and Synthesis (10 papers), Conservation, Biodiversity, and Resource Management (5 papers), Neuropeptides and Animal Physiology (5 papers), Receptor Mechanisms and Signaling (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Economic and Environmental Valuation (3 papers). The work is most often cited by research in Signal Processing (128 citations), Ecological Modeling (33 citations) and Artificial Intelligence (167 citations). Yujun Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Junbo Zhang, Changhao Shan, Lei Xie, Jindong Zhang, Hongbo Yang, Qiongyu Huang, Jie‐Hua Chen, Yucheng Chen, Dongmei Zhou and Wenke Bai. Their work appears in journals such as Biological Conservation, Cell Reports and European Journal of Pharmacology.
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.