Qin Ding
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Plant Science top 5%
- Plant Stress Responses and Tolerance
Papers in
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- Data Management and Algorithms 16
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- Data Mining Algorithms and Applications 24
- Co-authors
- Di Wu (3 shared papers)William Perrizo (13 shared papers)Yuepu Pu (15 shared papers)Qiang Ding (8 shared papers)Rongli Sun (15 shared papers)Jinling Huang (3 shared papers)John W. Stiller (2 shared papers)Juan Zhang (13 shared papers)
- Journals
- Plant Physiology and Biochemistry (4 papers)Toxins (4 papers)Environmental Pollution (3 papers)Frontiers in Plant Science (3 papers)BMC Genomics (2 papers)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Qin Ding
78 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 138
- Cancer Research 362
- Plant Science 514
- Environmental Chemistry 133
- Molecular Biology 879
- Pollution 124
Countries citing papers authored by Qin Ding
This map shows the geographic impact of Qin Ding'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 Qin Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qin Ding more than expected).
Fields of papers citing papers by Qin Ding
This network shows the impact of papers produced by Qin Ding. 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 Qin Ding. The network helps show where Qin Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Qin Ding, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 476 | |
| 2 | 2014 | 144 | |
| 3 | 2002 | 72 | |
| 4 | 2009 | 71 | |
| 5 | 2022 | 68 | |
| 6 | 2020 | 65 | |
| 7 | 2021 | 63 | |
| 8 | 2021 | 60 | |
| 9 | 2020 | 58 | |
| 10 | 2015 | 51 | |
| 11 | 2023 | 48 | |
| 12 | 2020 | 45 | |
| 13 | 2016 | 42 | |
| 14 | 2018 | 39 | |
| 15 | 2021 | 39 | |
| 16 | 2002 | 39 | |
| 17 | 2019 | 38 | |
| 18 | 2008 | 38 | |
| 19 | 2015 | 37 | |
| 20 | 2017 | 31 |
About Qin Ding
Qin Ding is a scholar working on Signal Processing, Information Systems, Environmental Chemistry, Computational Theory and Mathematics and Oceanography, having authored 81 papers that have together received 2.0k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (24 papers), Data Management and Algorithms (16 papers), Rough Sets and Fuzzy Logic (12 papers), Marine and coastal ecosystems (8 papers), Aquatic Ecosystems and Phytoplankton Dynamics (8 papers), Microbial Community Ecology and Physiology (8 papers), Photosynthetic Processes and Mechanisms (7 papers) and Plant Reproductive Biology (6 papers). The work is most often cited by research in Cancer Research (362 citations), Plant Science (514 citations), Environmental Chemistry (133 citations), Molecular Biology (879 citations) and Pollution (124 citations). Qin Ding has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Di Wu, William Perrizo, Yuepu Pu, Qiang Ding, Rongli Sun, Jinling Huang, John W. Stiller, Juan Zhang, Dazhong Zhang and Lingjian Ma. Their work appears in journals such as Plant Physiology and Biochemistry, Toxins, Environmental Pollution, Frontiers in Plant Science and BMC Genomics.
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.