Ting Peng
- Atmospheric Science top 10%
- Global and Planetary Change top 10%
- Artificial Intelligence
- Environmental Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Xiefei ZhiFei GeFrank SielmannKlaus FraedrichChuang ZhuShoupeng ZhuYing WangXiaoran Liu
- Topics
- Climate variability and models (7 papers)Meteorological Phenomena and Simulations (7 papers)AI in cancer detection (4 papers)
- Partner nations
- ChinaGermanyBangladesh
In The Last Decade
Ting Peng
18 papers receiving 454 citations
Peers
Comparison fields: 5 of 74
- Atmospheric Science 254
- Global and Planetary Change 230
- Artificial Intelligence 90
- Environmental Engineering 47
- Computer Vision and Pattern Recognition 44
Countries citing papers authored by Ting Peng
This map shows the geographic impact of Ting Peng'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 Ting Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Peng more than expected).
Fields of papers citing papers by Ting Peng
This network shows the impact of papers produced by Ting Peng. 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 Ting Peng. The network helps show where Ting Peng may publish in the future.
Co-authorship network of co-authors of Ting Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Ting Peng. A scholar is included among the top collaborators of Ting Peng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ting Peng. Ting Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 19 | |
| 4 | 56 | |
| 5 | 11 | |
| 6 | 24 | |
| 7 | 48 | |
| 8 | 2 | |
| 9 | 32 | |
| 10 | 90 | |
| 11 | Secure and Efficient Cloud Data Deduplication Supporting Dynamic Data Public Auditing. | 3 |
| 12 | 25 | |
| 13 | Directly Revocable and Verifiable Key-Policy Attribute-based Encryption for Large Universe. | 7 |
| 14 | 54 | |
| 15 | 47 | |
| 16 | 8 | |
| 17 | 9 | |
| 18 | 13 |
About Ting Peng
Ting Peng is a scholar working on Atmospheric Science, Computer Vision and Pattern Recognition and Global and Planetary Change, having authored 18 papers that have together received 461 indexed citations. Recurring topics across this work include Climate variability and models (7 papers), Meteorological Phenomena and Simulations (7 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Atmospheric Science (254 citations), Global and Planetary Change (230 citations) and Paleontology (28 citations). Ting Peng has collaborated with scholars based in China, Germany and Bangladesh. Frequent co-authors include Xiefei Zhi, Fei Ge, Frank Sielmann, Klaus Fraedrich, Chuang Zhu, Shoupeng Zhu, Ying Wang, Xiaoran Liu, Yan Ji and Ye Tian. Their work appears in journals such as IEEE Access, IEEE Transactions on Medical Imaging and International Journal of Computer Vision.
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.