Ting Peng

765 total citations
16 papers, 572 citations indexed

About

Ting Peng is a scholar working on Molecular Biology, Computational Theory and Mathematics and Atmospheric Science. According to data from OpenAlex, Ting Peng has authored 16 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Atmospheric Science. Recurrent topics in Ting Peng's work include Computational Drug Discovery Methods (2 papers), Graphene and Nanomaterials Applications (2 papers) and Meteorological Phenomena and Simulations (2 papers). Ting Peng is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Graphene and Nanomaterials Applications (2 papers) and Meteorological Phenomena and Simulations (2 papers). Ting Peng collaborates with scholars based in China, United States and Germany. Ting Peng's co-authors include Xiangang Hu, Fubo Yu, Changhong Wei, Qixing Zhou, Peng Yuan, Zhan Ban, Peng Deng, Xuan Hou, Lei Zhang and Xiaokang Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Food Chemistry.

In The Last Decade

Ting Peng

14 papers receiving 567 citations

Peers

Ting Peng

BIOMA

POLLU

Fubo Yu China

Zhan Ban China

Sivakumar Murugadoss Belgium

Jianxin Huang China

Christa Watson United States

Laura‐Jayne A. Ellis United Kingdom

Noham Sebaïhi Belgium

Jian Lin China

Jorge Pereira Portugal

Fubo Yu China

Ting Peng

235 ×1.1

190 ×1.0

149 ×1.1

103 ×1.2

BIOMA

160 ×2.7

POLLU

Citations per year, relative to Ting Peng Ting Peng (= 1×) peers Fubo Yu

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

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16 of 16 papers shown

Xu, Qing, Jing Jiang, Fan Wu, et al.. (2025). Relationship between cognitive impairments and psychopathological symptoms in female schizophrenia subsequent to 8 weeks treatment with antipsychotic drugs. BMC Psychiatry. 25(1). 211–211. 1 indexed citations

Zhang, Yan, et al.. (2025). Gelling properties and formation mechanism of blueberry pomace polysaccharide gels induced by calcium ions. Food Chemistry. 472. 142918–142918. 1 indexed citations

Zhao, Ji, et al.. (2025). MF-Mamba: Multiscale Convolution and Mamba Fusion Model for Semantic Segmentation of Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16.

Zhang, Yijie, Chuang Liang, Juan Bustillo, et al.. (2024). Consistent frontal-limbic-occipital connections in distinguishing treatment-resistant and non-treatment-resistant schizophrenia. NeuroImage Clinical. 45. 103726–103726. 1 indexed citations

Peng, Ting, et al.. (2024). Ignition experimental study based on rotating gliding arc. International Journal of Turbo and Jet Engines. 42(2). 459–468.

Ji, Yan, et al.. (2023). Regression analysis of air pollution and pediatric respiratory diseases based on interpretable machine learning. Frontiers in Earth Science. 11. 10 indexed citations

Zhi, Xiefei, et al.. (2023). Conditional Ensemble Model Output Statistics for Postprocessing of Ensemble Precipitation Forecasting. Weather and Forecasting. 38(9). 1707–1718. 4 indexed citations

Hou, Xuan, et al.. (2021). Nanohole-boosted electron transport between nanomaterials and bacteria as a concept for nano–bio interactions. Nature Communications. 12(1). 493–493. 129 indexed citations

Yu, Fubo, Changhong Wei, Peng Deng, Ting Peng, & Xiangang Hu. (2021). Deep exploration of random forest model boosts the interpretability of machine learning studies of complicated immune responses and lung burden of nanoparticles. Science Advances. 7(22). 126 indexed citations

10.

Ban, Zhan, Peng Yuan, Fubo Yu, et al.. (2020). Machine learning predicts the functional composition of the protein corona and the cellular recognition of nanoparticles. Proceedings of the National Academy of Sciences. 117(19). 10492–10499. 214 indexed citations

11.

Wei, Changhong, et al.. (2020). Nanocolloids in drinking water increase the risk of obesity in mice by modulating gut microbes. Environment International. 146. 106302–106302. 6 indexed citations

12.

Zhi, Xiefei, et al.. (2020). Downscaling of Precipitation Forecasts Based on Single Image Super-Resolution. 3 indexed citations

13.

Peng, Ting, Changhong Wei, Fubo Yu, et al.. (2020). Predicting nanotoxicity by an integrated machine learning and metabolomics approach. Environmental Pollution. 267. 115434–115434. 32 indexed citations

14.

Li, Xiaokang, Ting Peng, Mu Li, & Xiangang Hu. (2019). Phytotoxicity induced by engineered nanomaterials as explored by metabolomics: Perspectives and challenges. Ecotoxicology and Environmental Safety. 184. 109602–109602. 38 indexed citations

15.

Liao, Bo, Ting Peng, Hao Chen, & Ya‐Ping Lin. (2013). Incorporating Secondary Structural Features into Sequence Information for Predicting Protein Structural Class. Protein and Peptide Letters. 20(10). 1079–1087. 2 indexed citations

16.

Sirkis, James S., et al.. (1999). Integrated Vehicle Health Management (IVHM) on Space Vehicles: A Space Shuttle Flight Experiment. Key engineering materials. 167-168. 273–280. 5 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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