Ji Wu
Impact in
- Health Informatics top 2%
- Oral Surgery top 1%
- Dental Radiography and Imaging
Papers in
-
- Speech Recognition and Synthesis 19
- Topic Modeling 14
- Natural Language Processing Techniques 13
- Machine Learning in Healthcare 7
- Speech and dialogue systems 7
-
- Speech and Audio Processing 21
- Music and Audio Processing 16
- Co-authors
- Xiaolei Zhang (3 shared papers)Kailai Zhang (15 shared papers)Peijun Lyu (6 shared papers)Xien Liu (8 shared papers)Xiao-Lei Zhang (4 shared papers)Hu Chen (3 shared papers)Ping Lv (11 shared papers)Chin‐Hui Lee (4 shared papers)
- Journals
- Scientific Reports (8 papers)Computerized Medical Imaging and Graphics (2 papers)Medical Image Analysis (2 papers)IEEE Signal Processing Letters (2 papers)IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ji Wu
122 papers receiving 2.0k citations
Ji Wu's Hit Papers
Peers
Comparison fields: 5 of 158
- Health Informatics 69
- Oral Surgery 326
- Signal Processing 411
- General Dentistry 56
- Artificial Intelligence 829
Countries citing papers authored by Ji Wu
This map shows the geographic impact of Ji Wu'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 Ji Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Wu more than expected).
Fields of papers citing papers by Ji Wu
This network shows the impact of papers produced by Ji Wu. 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 Ji Wu. The network helps show where Ji Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 243 | |
| 2 | A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films Hit paper breakdown → | 2019 | 232 |
| 3 | 2020 | 189 | |
| 4 | 2015 | 101 | |
| 5 | 2018 | 95 | |
| 6 | 2018 | 67 | |
| 7 | 2017 | 60 | |
| 8 | 2020 | 57 | |
| 9 | 2011 | 46 | |
| 10 | 2016 | 43 | |
| 11 | 2013 | 43 | |
| 12 | 2020 | 40 | |
| 13 | 2015 | 37 | |
| 14 | 2018 | 36 | |
| 15 | 2021 | 34 | |
| 16 | 2021 | 29 | |
| 17 | 2018 | 26 | |
| 18 | 2021 | 24 | |
| 19 | 2022 | 23 | |
| 20 | 2024 | 22 |
About Ji Wu
Ji Wu is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Molecular Biology and Information Systems, having authored 136 papers that have together received 2.1k indexed citations. Recurring topics across this work include Speech and Audio Processing (21 papers), Speech Recognition and Synthesis (19 papers), Music and Audio Processing (16 papers), Topic Modeling (14 papers), Natural Language Processing Techniques (13 papers), Biomedical Text Mining and Ontologies (9 papers), Machine Learning in Healthcare (7 papers) and Speech and dialogue systems (7 papers). The work is most often cited by research in Health Informatics (69 citations), Oral Surgery (326 citations), Signal Processing (411 citations), General Dentistry (56 citations) and Artificial Intelligence (829 citations). Ji Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaolei Zhang, Kailai Zhang, Peijun Lyu, Xien Liu, Xiao-Lei Zhang, Hu Chen, Ping Lv, Chin‐Hui Lee, Xiao Zhang and Hong Li. Their work appears in journals such as Scientific Reports, Computerized Medical Imaging and Graphics, Medical Image Analysis, IEEE Signal Processing Letters and IEEE/ACM Transactions on Audio Speech and Language Processing.
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.