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
-
- Gastric Cancer Management and Outcomes 8
- Lung Cancer Diagnosis and Treatment 6
-
- Speech Recognition and Synthesis 8
- Co-authors
- Chenqiang Gao (2 shared papers)Yue Zhao (1 shared paper)Qi Feng (1 shared paper)Tiecheng Song (1 shared paper)Zhi-Li Wei (1 shared paper)Wen‐Kui Dong (1 shared paper)Ji‐Fa Wang (1 shared paper)Yang Zhang (1 shared paper)
- Journals
- Frontiers in Oncology (5 papers)BMC Cancer (2 papers)Journal of Clinical Oncology (2 papers)The American Journal of Gastroenterology (2 papers)Speech Communication (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lan Wang
61 papers receiving 579 citations
Peers
Comparison fields: 5 of 127
- Signal Processing 81
- Computer Vision and Pattern Recognition 125
- Radiology, Nuclear Medicine and Imaging 111
- Artificial Intelligence 141
- Computer Science Applications 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 87 | |
| 2 | 2019 | 79 | |
| 3 | 2012 | 37 | |
| 4 | 2016 | 30 | |
| 5 | 2018 | 26 | |
| 6 | 2014 | 22 | |
| 7 | 2021 | 21 | |
| 8 | 2021 | 16 | |
| 9 | 2019 | 16 | |
| 10 | 2022 | 15 | |
| 11 | 2006 | 13 | |
| 12 | 2018 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2019 | 11 | |
| 15 | 2019 | 10 | |
| 16 | 2011 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2012 | 9 | |
| 19 | 2011 | 9 | |
| 20 | 2017 | 9 |
About Lan Wang
Lan Wang is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Surgery and Signal Processing, having authored 68 papers that have together received 596 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (12 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Speech and Audio Processing (9 papers), Gastric Cancer Management and Outcomes (8 papers), Speech Recognition and Synthesis (8 papers), Music and Audio Processing (7 papers), MRI in cancer diagnosis (6 papers) and Lung Cancer Diagnosis and Treatment (6 papers). The work is most often cited by research in Signal Processing (81 citations), Computer Vision and Pattern Recognition (125 citations), Radiology, Nuclear Medicine and Imaging (111 citations), Artificial Intelligence (141 citations) and Computer Science Applications (17 citations). Lan Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chenqiang Gao, Yue Zhao, Qi Feng, Tiecheng Song, Zhi-Li Wei, Wen‐Kui Dong, Ji‐Fa Wang, Yang Zhang, Wenting Guo and Xunying Liu. Their work appears in journals such as Frontiers in Oncology, BMC Cancer, Journal of Clinical Oncology, The American Journal of Gastroenterology and Speech Communication.
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.