Qian Mo
Impact in
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- Acupuncture Treatment Research Studies
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- Urinary Bladder and Prostate Research
Papers in
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- Web Data Mining and Analysis 6
- Spam and Phishing Detection 4
- Service-Oriented Architecture and Web Services 3
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- Advanced Text Analysis Techniques 5
- Text and Document Classification Technologies 3
- Co-authors
- Meng Xie (1 shared paper)Zhishun Liu (2 shared papers)Baoyan Liu (4 shared papers)Huanfang Xu (2 shared papers)Zhishun Liu (6 shared papers)Shiyan Yan (2 shared papers)Rui Ma (1 shared paper)Yang Wang (2 shared papers)
- Journals
- Medicine (4 papers)BMC Complementary and Alternative Medicine (3 papers)Acupuncture in Medicine (1 paper)Journal of Integrative Medicine (1 paper)BMJ Open (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Qian Mo
30 papers receiving 238 citations
Peers
Comparison fields: 5 of 76
- Complementary and alternative medicine 32
- Urology 20
- Computer Vision and Pattern Recognition 64
- Gastroenterology 15
- Media Technology 18
Countries citing papers authored by Qian Mo
This map shows the geographic impact of Qian Mo'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 Qian Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qian Mo more than expected).
Fields of papers citing papers by Qian Mo
This network shows the impact of papers produced by Qian Mo. 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 Qian Mo. The network helps show where Qian Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Qian Mo, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 53 | |
| 2 | 2014 | 37 | |
| 3 | 2018 | 20 | |
| 4 | 2017 | 16 | |
| 5 | 2010 | 12 | |
| 6 | 2014 | 10 | |
| 7 | 2019 | 8 | |
| 8 | 2015 | 8 | |
| 9 | 2020 | 8 | |
| 10 | Overview of Web Spammer Detection | 2014 | 8 |
| 11 | 2009 | 7 | |
| 12 | 2014 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2010 | 6 | |
| 16 | 2017 | 5 | |
| 17 | 2015 | 4 | |
| 18 | 2010 | 3 | |
| 19 | 2009 | 3 | |
| 20 | 2010 | 3 |
About Qian Mo
Qian Mo is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Rheumatology and Complementary and alternative medicine, having authored 36 papers that have together received 247 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (6 papers), Advanced Text Analysis Techniques (5 papers), Pelvic floor disorders treatments (4 papers), Spam and Phishing Detection (4 papers), Acupuncture Treatment Research Studies (3 papers), Service-Oriented Architecture and Web Services (3 papers), Text and Document Classification Technologies (3 papers) and Gastrointestinal motility and disorders (2 papers). The work is most often cited by research in Complementary and alternative medicine (32 citations), Urology (20 citations), Computer Vision and Pattern Recognition (64 citations), Gastroenterology (15 citations) and Media Technology (18 citations). Qian Mo has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Meng Xie, Zhishun Liu, Baoyan Liu, Huanfang Xu, Zhishun Liu, Shiyan Yan, Rui Ma, Yang Wang, Likun Yang and Ke Yang. Their work appears in journals such as Medicine, BMC Complementary and Alternative Medicine, Acupuncture in Medicine, Journal of Integrative Medicine and BMJ Open.
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.