Qingming Tang
- Plant Science top 10%
- Plant Molecular Biology Research 11
- Plant Stress Responses and Tolerance 5
- Signal Processing top 10%
- Speech and Audio Processing 9
- Music and Audio Processing 9
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- Plant Reproductive Biology 4
- Agronomy and Crop Science top 10%
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- Speech Recognition and Synthesis 8
- Privacy-Preserving Technologies in Data 5
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- Privacy, Security, and Data Protection 4
- Co-authors
- Siyuan ZhuTouming LiuShouwei TangYongting YuAly A. KhanPatrick C. WilsonKarlynn E. NeuKaren Livescu
- Journals
- Bioinformatics (1 paper)PLoS ONE (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Qingming Tang
37 papers receiving 722 citations
Peers
Comparison fields: 5 of 94
- Plant Science 352
- Signal Processing 66
- Molecular Biology 292
- Agronomy and Crop Science 43
- Immunology 81
Countries citing papers authored by Qingming Tang
This map shows the geographic impact of Qingming Tang'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 Qingming Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingming Tang more than expected).
Fields of papers citing papers by Qingming Tang
This network shows the impact of papers produced by Qingming Tang. 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 Qingming Tang. The network helps show where Qingming Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qingming Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 4 | |
| 4 | 2021 | 9 | |
| 5 | 2020 | 48 | |
| 6 | 2018 | 20 | |
| 7 | 2017 | 47 | |
| 8 | 2015 | 12 | |
| 9 | Learning Scale Free Network by Node Specific Degree Prior. | 2015 | 0 |
| 10 | 2014 | 48 | |
| 11 | 2014 | 28 | |
| 12 | 2014 | 24 | |
| 13 | 2014 | 40 | |
| 14 | 2013 | 105 | |
| 15 | 2013 | 33 | |
| 16 | 2013 | 44 | |
| 17 | A Clustering Hybrid Based Algorithm for Privacy Preserving Trajectory Data Publishing | 2013 | 6 |
| 18 | Algorithm for k-Anonymity Based on Rounded Partition Function | 2012 | 0 |
| 19 | 2010 | 3 | |
| 20 | Effects of Bagging on Fruit Quality and Antioxidant Capacity in ‘Baiyu’ Loquat | 2008 | 1 |
About Qingming Tang
Qingming Tang is a scholar working on Signal Processing, Artificial Intelligence and Plant Science, having authored 43 papers that have together received 736 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (11 papers), Speech and Audio Processing (9 papers), Music and Audio Processing (9 papers), Speech Recognition and Synthesis (8 papers), Plant Stress Responses and Tolerance (5 papers), Privacy-Preserving Technologies in Data (5 papers), Privacy, Security, and Data Protection (4 papers) and Plant Reproductive Biology (4 papers). The work is most often cited by research in Plant Science (352 citations), Signal Processing (66 citations) and Molecular Biology (292 citations). Qingming Tang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Siyuan Zhu, Touming Liu, Shouwei Tang, Yongting Yu, Aly A. Khan, Patrick C. Wilson, Karlynn E. Neu, Karen Livescu, Ping Chen and Weiran Wang. Their work appears in journals such as Bioinformatics, PLoS ONE and International Journal of Molecular Sciences.
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.