Ting Peng

613 total citations
18 papers, 461 citations indexed

About

Ting Peng is a scholar working on Atmospheric Science, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ting Peng has authored 18 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Ting Peng's work include Climate variability and models (7 papers), Meteorological Phenomena and Simulations (7 papers) and AI in cancer detection (4 papers). Ting Peng is often cited by papers focused on Climate variability and models (7 papers), Meteorological Phenomena and Simulations (7 papers) and AI in cancer detection (4 papers). Ting Peng collaborates with scholars based in China, Germany and Bangladesh. Ting Peng's co-authors include Xiefei Zhi, Fei Ge, Frank Sielmann, Klaus Fraedrich, Chuang Zhu, Shoupeng Zhu, Ying Wang, Xiaoran Liu, Yan Ji and Ye Tian and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and International Journal of Computer Vision.

In The Last Decade

Ting Peng

18 papers receiving 454 citations

Peers

Ting Peng
Ran Jing China
Wenfang Zhang China
Yongji Wang China
Keir Bovis United Kingdom
Chandan Roy Bangladesh
John L. Cintineo United States
Zhiping Zhang China
Anne Cuzol France
Ran Jing China
Ting Peng
Citations per year, relative to Ting Peng Ting Peng (= 1×) peers Ran Jing

Countries citing papers authored by Ting Peng

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

18 of 18 papers shown
1.
Peng, Ting, et al.. (2023). Query-aware Multi-modal based Ranking Relevance in Video Search. 322–330. 2 indexed citations
2.
Ji, Yan, et al.. (2022). Deep-learning-based post-processing for probabilistic precipitation forecasting. Frontiers in Earth Science. 10. 11 indexed citations
3.
Zhu, Chuang, et al.. (2021). Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet. Neurocomputing. 438. 165–183. 19 indexed citations
4.
Zhu, Chuang, et al.. (2021). Hard Sample Aware Noise Robust Learning for Histopathology Image Classification. IEEE Transactions on Medical Imaging. 41(4). 881–894. 56 indexed citations
5.
Wang, Ying, et al.. (2020). Pathological Image Classification Based on Hard Example Guided CNN. IEEE Access. 8. 114249–114258. 11 indexed citations
6.
Zhu, Shoupeng, Armelle Reca Remedio, Dmitry Sein, et al.. (2020). Added value of the regionally coupled model ROM in the East Asian summer monsoon modeling. Theoretical and Applied Climatology. 140(1-2). 375–387. 24 indexed citations
7.
8.
Peng, Ting, et al.. (2020). Noise Robust Learning with Hard Example Aware for Pathological Image classification. 70. 1903–1907. 2 indexed citations
9.
Luo, Haolin, Fei Ge, Shoupeng Zhu, et al.. (2019). Assessment of ECMWF reanalysis data in complex terrain: Can the CERA‐20C and ERA‐Interim data sets replicate the variation in surface air temperatures over Sichuan, China?. International Journal of Climatology. 39(15). 5619–5634. 32 indexed citations
10.
Ge, Fei, Shoupeng Zhu, Ting Peng, et al.. (2019). Risks of precipitation extremes over Southeast Asia: does 1.5 °C or 2 °C global warming make a difference?. Environmental Research Letters. 14(4). 44015–44015. 90 indexed citations
11.
Ma, Hua, et al.. (2018). Secure and Efficient Cloud Data Deduplication Supporting Dynamic Data Public Auditing.. Int. J. Netw. Secur.. 20. 1074–1084. 3 indexed citations
12.
Ge, Fei, Ting Peng, Klaus Fraedrich, et al.. (2018). Assessment of trends and variability in surface air temperature on multiple high-resolution datasets over the Indochina Peninsula. Theoretical and Applied Climatology. 135(3-4). 1609–1627. 25 indexed citations
13.
Ma, Hua, Ting Peng, & Zhenhua Liu. (2017). Directly Revocable and Verifiable Key-Policy Attribute-based Encryption for Large Universe.. International journal of network security. 19. 272–284. 7 indexed citations
14.
Ge, Fei, Frank Sielmann, Xiuhua Zhu, et al.. (2017). The link between Tibetan Plateau monsoon and Indian summer precipitation: a linear diagnostic perspective. Climate Dynamics. 49(11-12). 4201–4215. 54 indexed citations
15.
Liu, Jia, et al.. (2016). Palynological evidence for late Miocene stepwise aridification on the northeastern Tibetan Plateau. Climate of the past. 12(7). 1473–1484. 47 indexed citations
16.
Dong, Xuejiao, et al.. (2014). Cooperative spectrum sensing against attacks in cognitive radio networks. 71–75. 8 indexed citations
17.
Peng, Ting, Erwan Kerrien, & Marie‐Odile Berger. (2010). A shape-based framework to segmentation of tongue contours from MRI data. HAL (Le Centre pour la Communication Scientifique Directe). 662–665. 9 indexed citations
18.
Peng, Ting, Ian H. Jermyn, V. Prinet, & Josiane Zerubia. (2009). Extended Phase Field Higher-Order Active Contour Models for Networks. International Journal of Computer Vision. 88(1). 111–128. 13 indexed citations

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.

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