Mengping Long
Impact in
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- Liver Disease and Transplantation
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- Breast Cancer Treatment Studies
Papers in
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- Breast Cancer Treatment Studies 5
- Cancer Genomics and Diagnostics 3
- Oncology 7
- HER2/EGFR in Cancer Research 4
- Co-authors
- Taobo Hu (24 shared papers)Gary W. Ellison (1 shared paper)Yiqiang Liu (16 shared papers)Toyotaka Ishibashi (2 shared papers)Yanru An (1 shared paper)Manjinder S. Cheema (1 shared paper)Enhua Xiao (1 shared paper)Songqing Fan (2 shared papers)
- Journals
- Life (3 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)Frontiers in Medicine (1 paper)Light Science & Applications (1 paper)Biomedical Signal Processing and Control (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Mengping Long
36 papers receiving 418 citations
Peers
Comparison fields: 5 of 76
- Hepatology 50
- Cancer Research 60
- Oncology 60
- Molecular Biology 162
- Acoustics and Ultrasonics 2
Countries citing papers authored by Mengping Long
This map shows the geographic impact of Mengping Long'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 Mengping Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengping Long more than expected).
Fields of papers citing papers by Mengping Long
This network shows the impact of papers produced by Mengping Long. 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 Mengping Long. The network helps show where Mengping Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Mengping Long, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 60 | |
| 2 | 2001 | 59 | |
| 3 | 2020 | 35 | |
| 4 | 2022 | 32 | |
| 5 | 2021 | 21 | |
| 6 | 2025 | 21 | |
| 7 | 2013 | 20 | |
| 8 | 2022 | 17 | |
| 9 | Detection and application of circulating tumor cell and circulating tumor DNA in the non-small cell lung cancer. | 2018 | 14 |
| 10 | 2021 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2021 | 11 | |
| 14 | 2018 | 10 | |
| 15 | 2024 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2023 | 5 |
About Mengping Long
Mengping Long is a scholar working on Cancer Research, Oncology, Molecular Biology, Computer Vision and Pattern Recognition and Biophysics, having authored 37 papers that have together received 426 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Breast Cancer Treatment Studies (5 papers), HER2/EGFR in Cancer Research (4 papers), Cancer Genomics and Diagnostics (3 papers), Digital Imaging for Blood Diseases (3 papers), Cell Image Analysis Techniques (3 papers), Medical Image Segmentation Techniques (3 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Hepatology (50 citations), Cancer Research (60 citations), Oncology (60 citations), Molecular Biology (162 citations) and Acoustics and Ultrasonics (2 citations). Mengping Long has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Taobo Hu, Gary W. Ellison, Yiqiang Liu, Toyotaka Ishibashi, Yanru An, Manjinder S. Cheema, Enhua Xiao, Songqing Fan, Sophia Leung and Christopher J. Nelson. Their work appears in journals such as Life, IEEE Journal of Biomedical and Health Informatics, Frontiers in Medicine, Light Science & Applications and Biomedical Signal Processing and Control.
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.