Lan Wang
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
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- Human Pose and Action Recognition
- Context-Aware Activity Recognition Systems
Papers in
-
- Speech Recognition and Synthesis 8
- Surgery 12
- Esophageal Cancer Research and Treatment 10
- Co-authors
- Chenqiang Gao (2 shared papers)Qi Feng (1 shared paper)Tiecheng Song (1 shared paper)Yue Zhao (1 shared paper)Ji‐Fa Wang (1 shared paper)Zhi-Li Wei (1 shared paper)Wen‐Kui Dong (1 shared paper)Xunying Liu (5 shared papers)
- Journals
- Frontiers in Oncology (4 papers)Journal of Clinical Oncology (2 papers)The American Journal of Gastroenterology (2 papers)BMC Cancer (2 papers)Journal of Magnetic Resonance Imaging (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lan Wang
59 papers receiving 584 citations
Peers
Comparison fields: 5 of 116
- Signal Processing 86
- Computer Vision and Pattern Recognition 140
- Artificial Intelligence 139
- Complementary and alternative medicine 27
- Bioengineering 17
Countries citing papers authored by Lan Wang
This map shows the geographic impact of Lan 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 Lan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Wang more than expected).
Fields of papers citing papers by Lan Wang
This network shows the impact of papers produced by Lan 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 Lan Wang. The network helps show where Lan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan 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
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 98 | |
| 2 | 2019 | 79 | |
| 3 | 2012 | 40 | |
| 4 | 2016 | 35 | |
| 5 | 2021 | 22 | |
| 6 | 2014 | 22 | |
| 7 | 2006 | 16 | |
| 8 | 2021 | 16 | |
| 9 | 2019 | 16 | |
| 10 | 2022 | 15 | |
| 11 | 2020 | 14 | |
| 12 | 2019 | 14 | |
| 13 | 2018 | 13 | |
| 14 | 2023 | 11 | |
| 15 | 2019 | 10 | |
| 16 | 2011 | 10 | |
| 17 | 2011 | 9 | |
| 18 | 2017 | 9 | |
| 19 | 2019 | 9 | |
| 20 | 2012 | 9 |
About Lan Wang
Lan Wang is a scholar working on Artificial Intelligence, Surgery, Pulmonary and Respiratory Medicine, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 65 papers that have together received 600 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (10 papers), Speech and Audio Processing (9 papers), Speech Recognition and Synthesis (8 papers), Music and Audio Processing (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), MRI in cancer diagnosis (3 papers), Human Pose and Action Recognition (3 papers) and Handwritten Text Recognition Techniques (3 papers). The work is most often cited by research in Signal Processing (86 citations), Computer Vision and Pattern Recognition (140 citations), Artificial Intelligence (139 citations), Complementary and alternative medicine (27 citations) and Bioengineering (17 citations). Lan Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chenqiang Gao, Qi Feng, Tiecheng Song, Yue Zhao, Ji‐Fa Wang, Zhi-Li Wei, Wen‐Kui Dong, Xunying Liu, Wenting Guo and Yang Zhang. Their work appears in journals such as Frontiers in Oncology, Journal of Clinical Oncology, The American Journal of Gastroenterology, BMC Cancer and Journal of Magnetic Resonance Imaging.
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.